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Problems and Prospects of Jackfruit Commercialization
as Experienced by Farmers at Bhaluka Upazila under
Mymensingh District
MD. HAFIZUR RAHMAN
DEPARTMENT OF
AGRICULTURAL EXTENSION & INFORMATION SYSTEM
SHER-E-BANGLA AGRICULTURAL UNIVERSITY
SHER-E-BANGLA NAGAR, DHAKA-1207.
June, 2015
Problems and Prospects of Jackfruit Commercialization
as Experienced by Farmers at Bhaluka Upazila under
Mymensingh District
BY
MD. HAFIZUR RAHMAN
REGISTRATION NO. : 09-03491
A Thesis
Submitted to the Faculty of Agriculture,
Sher-e-Bangla Agricultural University, Dhaka,
in Partial fulfillment of the requirements for the degree of
MASTER OF SCIENCE (MS)
IN
AGRICULTURAL EXTENSION
SEMESTER: JULY - JUNE, 2015
Approved by
…………………………………………………
(Dr. Mohummed Shofi Ullah Mazumder)
Co-supervisor
…….….……….…
(Md. Abul Bashar)
Associate Professor
Supervisor
…………………………..
(Prof. M Zahidul Haque) Supervisor
…………………………………………………
(Dr. Mohummed Shofi Ullah Mazumder)
Assoc. Prof. & Chairman
Department of Agricultural Extension & Information System
Sher-e-Bangla Agricultural University, Dhaka
iii
Memo No.: SAU/AEIS Date:
CERTIFICATE
This is to certify that the thesis entitled, “Problems and prospects of jackfruit
commercialization as experienced by farmers at Bhaluka Upazila under Mymensingh
district” submitted to the faculty of Agriculture, Sher-e-Bangla Agricultural
University, Dhaka, in partial fulfillment of the requirements for the degree of Master
of Science (MS) in Agricultural Extension, embodies the result of a piece of bona
fide research work carried out by Md. Hafizur Rahman, Registration No. 09-03491,
under my supervision and guidance. No part of this thesis has been submitted for any
other degree or diploma.
I further certify that any help or sources of information, as has been availed of
during the course of investigation have been duly acknowledged.
Department of Agricultural Extension and Information System
Sher-Bangla Agricultural University
Sher-e-Bangla Nagar, Dhaka-1207, Bangladesh.
Dated: June, 2015
Dhaka, Bangladesh
………..……………………..….…
(Prof. M Zahidul Haque) Supervisor
Dept. of Agricultural Extension and Info. System
Sher-e-Bangla Agricultural University
Sher-e-Bangla Nagar, Dhaka-1207.
iv
DEDICATION
DEDICATED TO
THIS THESIS IS LOVINGLY DEDICATED
TO
MY PARENTS
v
ACKNOWLEDGEMENTS
All of my gratefulness to almighty Allah who enabled me to accomplish this
thesis paper. I would like to express my heartiest respect, deepest sense of
gratitude, profound appreciation to my supervisor, Prof. M Zahidul Haque,
Department of Agricultural Extension and information System, Sher-e-Bangla
Agricultural University, Dhaka for his sincere guidance, scholastic supervision,
constructive criticism and constant inspiration throughout the course and in
preparation of the manuscript of the thesis.
I would like to express my heartiest respect and profound appreciation to my
co-supervisor, Associate Professor & Chairman, Dr. Mohammed Shofi
Ullah Mazumder, Department of Agricultural Extension and information
System, Sher-e-Bangla Agricultural University, Dhaka for his utmost
cooperation and constructive suggestions to conduct the research work as well
as preparation of the thesis.
I would like to thank all of my family members who have helped me with
technical support to prepare this thesis paper. I also thank all of my roommates
and friends to help me in my research work.
Mere diction is not enough to express my profound gratitude and deepest
appreciation to my mother, brothers, sisters, and friends for their ever ending
prayer, encouragement, sacrifice and dedicated efforts to educate me to this
level.
June, 2015 The Researcher
vi
LIST OF CONTENTS
CHAPTER TITLE PAGE
ACKNOWLEDGEMENTS v
LIST OF CONTENTS vi-viii
LIST OF TABLES ix
LIST OF FIGURES x
LIST OF APPENDIX xi
ABSTRACT xii
CHAPTER 1: INTRODUCTION 1-12
1.1. General background 1
1.2. Statement of the problem 4
1.3. Objectives of the study 6
1.4. Justification of the study 7
1.5. Scope and limitations of the study 8
1.6. Assumptions of the study 9
1.7. Definition of terms 10
CHAPTER 2: REVIEW OF LITERATURE 12-20
2.1. General findings on problems and prospect of jackfruit
and other fruits commercialization
12
2.2. Conceptual framework of the study 19
CHAPTER 3: METHODOLOGY 21-32
3.1. Locale of the study 21
3.2. Population and sample of the study 22
3.2.1. Population sampling 22
3.2.2 Distribution of the sample of population size 23
3.3. Data collecting instrument 23
3.4.
Variables of the study 26
3.5. Measurement of variables 26
3.6. Hypothesis of the study 30
3.7. Data collection 31
vii
CHAPTER TITLE PAGE
3.8. Data processing 31
3.9. Statistical analysis 32
CHAPTER 4:
RESULTS AND DISCUSSION
33-72
4.1. Selected Characteristics of the jackfruit growers and
jackfruit
33
4.1.1. Age 34
4.1.2. Education 34
4.1.3. Jackfruit land size 35
4.1.4. Number of jackfruit trees 36
4.1.5. Annual family income from jackfruit 37
4.1.6. Experience in jackfruit cultivation 38
4.1.7. Knowledge on jackfruit cultivation 39
4.1.8. Diversified use of jackfruit 40
4.1.9. Nutritional importance of jackfruit 40
4.1.10. Selling demand of jackfruit through different
marketing system
41
4.1.11. Selling price of jackfruit through different marketing
system
42
4.1.12. Problem faced by the farmers’ for commercialization 43
4.1.13. Prospects of jackfruit commercialization 44
4.2. Problem and Prospects Appearance Index (PPAI) 45
4.3. Relationship of the selected characteristics of the
jackfruit farmers problems and prospects of jackfruit
commercialization
48
4.3.1 The relationships between selected characteristics of
the jackfruit farmers and Problems of jackfruit
commercialization
49
4.3.2 The relationships between selected characteristics of
the jackfruit farmers and prospect of jackfruit
commercialization
62
4.3.3. Correlation between problem and prospect of jackfruit
commercialization
72
CHAPTER 5: SUMMARY, CONCLUSIONS AND
RECOMMENDATIONS
73-81
5.1. Summary 74
5.1.1. Individual characteristics of the farmers 75
5.1.2. The relationships between selected characteristics of
the jackfruit farmers and problems and prospects of
jackfruit commercialization
76
viii
CHAPTER TITLE PAGE
5.1.3. Correlation between problem and prospect of jackfruit
commercialization
77
5.2. Conclusions 78
5.3. Recommendations 79
5.3.1. Recommendations for policy implication 80
5.3.2. Recommendations for further study 81
REFERENCES 82-87
ix
LIST OF TABLES
TABLE TITLE PAGE
3.1.
Distribution of the jackfruit growers according to
population and sample size
23
4.1. Distribution of the jackfruit growers according to their age 34
4.2. Distribution of the jackfruit growers according to their level
of education
35
4.3. Distribution of the jackfruit growers according to their
jackfruit land size
36
4.4. Distribution of the jackfruit growers according to their
jackfruit tree number
37
4.5. Distribution of the jackfruit growers according to their
annual family income from jackfruit
37
4.6. Distribution of the jackfruit growers according to their
experience in jackfruit cultivation
38
4.7. Distribution of the jackfruit growers according to their
knowledge on jackfruit Cultivation
39
4.8. Distribution of jackfruit growers according to their
diversified use of jackfruit
40
4.9. Distribution of jackfruit growers according to their
nutritional importance of jackfruit
41
4.10. Jackfruit growers response on selling demand of jackfruit at
different marketing system
42
4.11. Jackfruit growers response on selling price of jackfruit at
different marketing System
43
4.12. Problem faced by the jackfruit growers for jackfruit
commercialization
44
4.13. Prospects of jackfruit commercialization as perceived by
the Jackfruit growers
44
4.14. Rank order of problem and prospects of jackfruit
commercialization
46
4.15. Relationship between each of the selected characteristics of
the jackfruit growers and problems of commercialization
49
4.16 Relationship between each of the selected characteristics of
the jackfruit growers and prospects of commercialization
62
4.17 Correlation matrix between problem and prospect of
jackfruit commercialization
74
x
LIST OF FIGURES
FIGURE TITLE PAGE
2.1.
Conceptual framework of the study
20
2.2. Map of Bangladesh showing Mymensingh district 24
2.3. Map of Mymensingh district showing the Bhaluka
upazila
25
xi
LIST OF APPENDIX
APPENDIX TITLE PAGE
A An interview schedule on “Problem and prospects
of jackfruit commercialization as experienced by
farmers at BhalukaUpazila under Mymensingh
district”
88-91
B Correlation matrix 92
xii
PROBLEM AND PROSPECTS OF JACKFRUIT COMMERCIALIZATION
AS EXPERIENCED BY FARMERS AT BHALUKA UPAZILA UNDER
MYMENSINGH DISTRICT
ABSTRACT
The main purpose of this study was to assess the problems and prospects of
jackfruit commercialization as experienced by farmers at Bhaluka Upazila
under Mymensingh district. Data were gathered from 86 jackfruit farmers of
selected villages of Bhaluka Upazilla under Mymensingh district by using a
structured interview schedule during the period from 10 February to 15 March,
2016. Descriptive statistics, Pearson Product Moment Correlation Co-efficient
were used for data analysis. The findings reveal that more than half (67.4%) of
the respondents faced medium problem in jackfruit commercialization
activities, while 18.6 percent faced high problems and only 14 percent faced
low problems. Majority (79.1%) of the respondents perceived medium level
prospects of jackfruit commercialization, while 12.8 percent found high level
Prospects of jackfruit commercialization and only 8.1 percent respondents
confirmed low level of prospects for jackfruit commercialization. The
statistical analysis exposed that annual family income from jackfruit,
experience in jackfruit cultivation, knowledge on jackfruit cultivation,
diversified use of jackfruit, selling demand of jackfruit at different marketing
system and selling price of jackfruit at different marketing system had
significant negative relationship with the problems faced by the farmers for
jackfruit commercialization where annual family income from jackfruit,
experience in jackfruit cultivation, knowledge on jackfruit cultivation,
diversified use of jackfruit, nutritional importance of jackfruit, selling demand
of jackfruit at different marketing system and selling price of jackfruit at
different marketing system had significant positive relationship with the
prospects of jackfruit commercialization as experienced by the farmers.
Key words: Problem and prospect, Jackfruit commercialization;
1
Chapter 1
INTRODUCTION
1.1 General background
Since the evolution of Homo sapiens about 25,000 years ago, men were mainly hunters
and food gatherers. They were dependent on the forest for seeds, grains, roots, rhizomes,
leaves and fruits for their very survival for about 15,000 years, after which agriculture
came into being in its very primitive stage. Therefore, fruits play among the most
important foods that helped man to survive from the very beginning. It is the blessings of
the Almighty that in Bangladesh we get some kind of the fruits all the year round. Fruit
has important roles in human diet, because it contains micronutrients, fiber, vitamins,
potassium, foliate, Vitamin C, vegetable proteins, carotenoids and polyphenols, which act
as antioxidants within the body as well as bio-functional components and also it is
economically important because fruit cultivation can contribute to one’s earnings
significantly. Jackfruit, mango, litchi, banana, pine-apple are the major fruits grown here
with a large quantity and among other fruits guava, papaya, pommel, melon &
watermelon, lime & lemon, orange are also grown here.
The jackfruit is the largest tree borne fruit in the world. Its fruit is seldom less than about
25 cm in diameter. Even a relatively thin tree (circa 10cm diameter) can bear large fruit.
The fruits can reach 36kg in weight and up to 90cm long and 50cm in diameter. The sweet
yellow sheaths around the seeds are about 3-5 mm thick and have a taste similar to that of
pineapple but milder and less juicy (APAARI, 2012).
The jackfruit is indigenous to the rain forests of the Western Ghats of India and is
cultivated throughout the tropical lowlands in South and Southeast Asia, parts of central
and eastern Africa and Brazil. Major jackfruit producers are Bangladesh, India, Myanmar,
Thailand, Vietnam, China, The Philippines, Indonesia, Malaysia and Sri Lanka. It is a
popular and relatively cheaper fruit in Southern Asia and other warm countries of both the
2
hemispheres. In Europe, the fruit is sold canned with sugar syrup. Away from the Far
East, the jackfruit has never gained the kind of acceptance that is accorded to the
breadfruit (exception settlements of people of East Indian origin). This is largely due to
the odor of the ripe fruit and traditional preference for bread fruit (APAARI, 2012).
Jackfruit (Artocarpusheterophyllus Lam.) belongs to the family Moraceae, is one of the
tropical fruits of Bangladesh which is produced in large quantity every year. It is an
important and widely distributed and cultivated fruit crop in Bangladesh. The fruit is very
popular among the rural people. It has acclaimed the status of Bangladeshi national fruit
due to its popularity and nutritious values. Jackfruit is economically important throughout
the tropics of Asia. It is grown in the homestead in almost all the rural areas of
Bangladesh. It ranks top in production among the fruits grown in the country accounting
23.08 percent of total fruit production in 2008-09 (BBS, 2010).
Jackfruit is grown in all districts. The highest volume of production takes place in Dhaka,
Gazipur, Tangail, Khagrachari, Rangamati, Mymensingh, Moulvibazar, Narsingdi,
Dinajpur and Rangpur. Presently, Bangladesh cultivates jackfruits in 79 thousands
hectares of land producing about 1,352,000 tons fruits in a year. Yield per hectare is 17
MT. A small quantity of about 60 MT fresh jackfruit and some seeds are exported to UK.
The country has a large supply of fresh jackfruits but little has been done for industrial use
and use of its by-products. It is estimated that about one-third of the production can be
used for processing without affecting consumption of fresh fruits. However, it is reported
that research organization such as BARI post harvest and technology division, BAURES
of BAU, BCSIR, etc are conducting some sorts of research and trying to develop some
products or even patented some products or by-products by BCSIR. Hortex Foundation
and DAE are also promoting fruit production, processing and marketing (INSPIRED,
2013).
But fruit marketing system is not so developed is this area. There present a quite problem
i.e., transportation problem, road infrastructure problem, absence of cold storage and
processing center etc. Khandaker et al. (2009) found that appropriate marketing
3
infrastructure is crucial for efficient marketing of fruits. Adequate transportation and
product handling are also important for the trade of agricultural products and important
factors in assuring good prices and poverty alleviation. According to World Bank (2005)
investment is required for improved maintenance of road and port infrastructures. In
addition to infrastructure development, modification of policies and management are also
needed to improve appropriate and timely shipping of perishables. IDAF (2009) reported
that, a weak agricultural credit system, unorganized market structure, unfavorable
weather, small land holding sizes and inadequate technology development contributes to
low productivity in the small holder sector.
Jackfruit cultivation is one of the most important agricultural products in the country,
which plays an important role in the economic development. The jackfruit cultivators are
facing many problems in cultivation and harvesting season. During cultivation period the
problem of rainfall, selection seed and financial assistance and harvest season the fruits
losses due to lack of preservation. If the technique of manufacturing and preserving food
subsistence in an effective manner with a view to enhance their shelf life, improve quality
as well as make them functionally more useful. The jackfruit cultivation is based on local
natural resources and indigenous knowledge and skill of the people. This sector directly
contributing to income and employment generation and also induces output and
employment growth indirectly through its linkages with other sectors. Jackfruit processing
can be done at home or in food processing industry. Besides reducing unnecessary
wastage and losses of perishable items it helps in value addition, raising rural income by
generating direct and indirect employment and diversifies the rural economy.
The most important point in the jackfruit cultivation is that a substantial portion being
rural based and it has very high employment potential with significantly lower investment.
Post-harvest loss of fresh fruit is one of the important problem in the tropics, which occurs
at all stages of marketing chain. These losses in quantity and quality of produce occur at
different levels of respondents. The gross post-harvest losses from harvesting to
4
consumption of jackfruit at different levels (growers, intermediators, wholesalers, retailers
and consumers) were calculated as 25.42 percent (Molla, 2011).
1.2 Statement of the problem
Jackfruit is one of the most significant tropical fruit produced in Bangladesh. The jackfruit
cultivation is many centuries old and the farmers are unaware of the modern improved
cultivation practices. They have many problems relating to cultivation, harvesting and
marketing.
In the cultivation stage they have problem with decrease in rainfall, natural calamities
causes fluctuation in production and frequent drought conditions hampered the
development of agriculture. In the harvesting stage perishable nature of fruits are wasted
due to lack of storage facilities and lack of effective processing or preservation techniques,
leads to high wastage. The pest and disease problem also results low output and poor
quality of fruits.
In the marketing stage they have many problems relating price fluctuation and lack of
marketing problems. In Bangladesh is far from tapping the potential of processing and
exporting dried jackfruits processors and exporters currently not available. Dried fruits
have a large number of end-users including use in the dried fruit and nut industry.
Among all pre and post harvest practices, loss of jackfruit is the main problem and after
that marketing system for commercialization is mainly responsible for losses of jackfruit.
So, problems and prospect of jackfruit commercialization have been taken as present
research topic.
In order to minimize farmers’ problems and maximize prospects jackfruit
commercialization, the researcher undertook the investigation entitled “Problems and
prospect of jackfruit commercialization” in selected areas of Mymensingh districts in
order to have an understanding of the extent of losses of jackfruit and commercialization
by the farmers. Research information is required which could be helpful to the policy
5
maker, regarding supply of inputs, technological knowledge and problem being
encountered on jackfruit processing.
The purpose of the study was to assess the losses of Jackfruit as supposed by the farmers
regarding production, harvesting and marketing and to explore the relationship of the
selected characteristics of the farmers with the problems and prospect of jackfruit
commercialization by them. In order to make the study manageable, the following
research questions were taken into consideration.
1. Are there any problems for losses of jackfruit production, harvesting and marketing
as faced by the jackfruit growers?
2. What is the extent of problems for jackfruit commercialization faced by the
jackfruit growers?
3. Are there any prospects for jackfruit commercialization as perceived by the
jackfruit growers?
4. What are the characteristics of the jackfruit growers?
5. Is there any relationship between the farmers’ selected characteristics and problems
and prospects of jackfruit commercialization as perceived by them?
6
1.3 Specific Objectives
The following objectives are framed out in order to give an appropriate track to the
research work-
1. To explore the problems for Jackfruit commercialization as perceived by the
jackfruit growers;
2. To find out the prospects of Jackfruit commercialization as perceived by the
jackfruit growers;
3. To describe some selected personal and socio-economic characteristic of the
jackfruit growers and jackfruit:
a. Age
b. Level of education
c. Jackfruit land size
d. Number of jackfruit trees
e. Annual income from jackfruit
f. Experience in jackfruit cultivation
g. Knowledge on Jackfruit cultivation
h. Diversified use of jackfruit
i. Nutritional importance of jackfruit
j. Selling demand of jackfruit
k. Selling price of jackfruit;
4. To explore the relationship of the selected characteristics of the jackfruit farmers
and the problems and prospect of jackfruit commercialization as experienced by
them;
7
1.4. Justification of the Study
Jackfruit is mainly grown for its fruits. Fruits at 25-50 percent of full size are eaten unripe
as a vegetable or ripe, full size as a fruit. The fruit has high nutritive value, and
significantly contributes to the nutrition of the people of Bangladesh as a source of
vitamins, minerals and calories. The arils, edible parts of ripe fruits contain high amount
of vitamin A (175 I.U./100g), potassium (88-407 mg) and carbohydrates (22.4-24 g/100g),
and considerable amount various kinds of vitamin B like Thiamine, Riboflavin and Niacin
(Acedo, 1992). Each 100 gm of jackfruit contains: Calories: 94, Fat: 0.3 mg, Dietary fiber:
2 g, Protein: 1 g, Potassium: 303 mg, Calcium: 34 mg, Carbohydrate: 24 g, Folate: 14 mcg
andiron: 0.6 mg. Seeds of jackfruits are also a good source of carbohydrates and
potassium with considerable amount of phosphorus and calcium and protein (Acedo,
1992).
Though a huge amount of jackfruit is produced in every year in Bangladesh, a significant
portion of them goes to waste due to its high perish ability and cramped seasonality. The
Peak harvesting period of jackfruit is June to July. It’s a hot, humid and rainy period of
Bangladesh. In this period, marketing of fruit becomes difficult, as the fruits are rotten
quickly once it ripens.
Lack of knowledge in the growers and latest technologies are also key-reasons behind
such spoilage leads to enormous economic losses, the researchers pointed out. During the
peak season for example, about 50 percent fruits mainly pineapple, watermelon, jackfruit,
tomato etc. is lost due to inadequate processing facilities in Bangladesh (Hussain, 1993).
Preservation of jackfruit ensuring quality would reduce the wide fluctuation of prices
between peak harvesting period and off-season. Moreover, if the excess amount of this
seasonal fruit can be processed and dried for the future storage that may be an earning
source of foreign currency. On the other hand, jackfruit processing industries may
generate an employment opportunity which is one of the urgent needs in the present
context of Bangladesh.
8
Therefore, assessing the proper commercialization of jackfruit can be considered
important alternatives for finding out the reason behind the pre and postharvest losses of
this nutritive fruit. So that the necessary steps can be taken to minimize the losses
fulfilling the above requirement. The researcher developed a felt need to conduct this sort
of research. So the researcher is eagerly interested to undertake the research entitled
“Problems and prospects of jackfruit commercialization as experienced by farmers at
Bhaluka Upazila under Mymensingh district”. The findings of the study will be helpful to
the extension providers and to the growers, intermediators, wholesalers, retailers,
consumers and researchers of Jackfruit. It is assumed that if the reason of problems of
jackfruit marketing could be identified and minimized successfully, the deficiency of food
and economic condition of our country would be improved undoubtedly.
1.5 Limitations and Scope of the Study
The respondents of the study were exclusively selected from Mymensingh districts. But
the findings may be applicable in other areas of Bangladesh where the physical, socio-
economic and cultural conditions are alike with those of the study area.
Thus, the findings of the study may be fruitful by the jackfruit production planners,
extension personnel and field workers for successful prevention of jackfruit losses in view
of marketing strategy.
However, in order to conduct the research in a meaningful and manageable way it
becomes necessary to impose certain limitations in regard to certain aspects of the study,
considering the time, money and necessary resources available to the researcher. The
study was conducted with the following limitations:
i) The study was confined to Bhaluka Upazilas under Mymensingh.
ii) Population for the present study was kept confined within the heads of farm
families in the study area.
iii) There were many characteristics of the farmers in the study area but only eight
of them were selected for investigation.
9
iv) For information about the study, the researcher depended on the data furnished
by the selected respondents during their interview with him.
v) Reluctance of the farmers to provide information was overcome by establishing
rapport.
1.6 Assumptions of the Study
An assumption has been defined as the supposition that an apparent fact or principle is
true in the light of the available evidence (Goode and Hatt, 1952). That means the
assumption is taken as a fact or belief to be true. The researcher had the following
assumptions in mind while undertaking this study:
The respondents, included in the sample were capable of satisfying proper
responses to the questions included in the interview schedule.
Views and opinions furnished by the respondents were the representative views and
opinions of the whole population of the study.
The responses furnished by the respondents were reliable. The researcher was well
adjusted to the social environment of the study area. So, the respondents gave their
opinions without any hesitation.
All the data concerning the variables were normally and independently distributed
with their respective means and standard deviation.
The findings of the study will have general applications to other parts of the
country with similar personal, socio-economic and cultural conditions.
10
1.7 Definition of Terms
A researcher needs to know the meaning and contents of every term that he uses. A
concept is an abstract of observed thing; events or phenomenon. It should clarify the issue
as well as explain the fact to the investigator and readers. However, for clarity of
understanding, a number of key concepts/terms frequently used throughout the study are
defined and interpreted as follows:
Respondents
Randomly selected people considered to be re-presentable of the population are known as
respondents. They are the people from whom a social research worker usually gets most
data required for his research. In this study the respondents were the village level jackfruit
farmers.
Farmers
The persons who were involved in farming activities are called farmers. They participated
in different farm and community level activities like crops, livestock, fisheries, other
farming activities etc. In this study, jackfruit growers were treated as farmers.
Age
Age of a respondent is defined as the span of life and is operationally measured by the
number of years from his/her birth to the time of interviewing.
Level of education
Empirically it was defined to the development of desirable changes in knowledge, skill
and attitudes in an individual through reading, writing, walking, observation and other
selected activities. It was measured on the basis of classes a farmer has passed from a
formal educational institution.
11
Jackfruit land size
In this study jackfruit land size refers to the area of land which was used by the farmers
for jackfruit cultivation. It was expressed in hectare.
Number of jackfruit trees
In this study it refers to the jackfruit trees which are owned by the respondents.
Annual income from jackfruit
Annual family income of a respondent generally refers to the total earning by him/her and
other members of his/her family from different sources during a year. Annual income
from jackfruit of the respondent only includes the earning from jackfruit by the
respondent. It was expressed in Thousand Taka.
Experience in jackfruit cultivation
Experience as a general concept comprises knowledge or skill of something or some event
gained through involvement in or exposure to that thing or event. Experience refers to the
nature of the events someone or something has undergone. Experience is what is
happening to us all the time - as we long we exist. However, in this study, it refers to the
years of cultivating jackfruit by the respondents.
Knowledge on Jackfruit cultivation
It is the extent of basic understanding of the farmers in different aspects of Jackfruit
production, harvesting and marketing etc. It includes the basic understanding of the use of
different inputs and practices for jackfruit cultivation.
Problem faced for jackfruit commercialization
Problem means any difficult situation which requires some actions to minimize the gap
between “what ought to be” and “what is”. The term problem faced refers to different
problem faced by the farmers in jackfruit production, harvesting and marketing.
12
Selling demand of jackfruit
It refers to the degree of purchase of jackfruit by the people from market or from any other
place which is frequently or not.
Selling price of jackfruit
It refers to the existing market price of jackfruit. It varies due to local and national market.
13
Chapter 2
REVIEW OF LITERATURE
This chapter deals with the review of past research works that relates to this investigation
directly or indirectly. The reviews are conveniently presented based on the major
objectives of the study. The aim of this study was to have an understanding of Problems
and prospects of jackfruit commercialization as experienced by farmers at Bhaluka
Upazila under Mymensingh district and their relationships with the selected individual
characteristics. Despite anxious search, the researcher found only a few literatures related
to this study. The researcher came across with some expert opinions and has tried his best
to collect needful information through searching relevant studies, journals, periodicals,
bulletins, leaflets, internet etc. These enhanced the researcher’s knowledge for better and
clear understanding of the present study. But unfortunately no previous literature was
found related to relationship between losses of any fruits as perceived by the farmers and
their characteristics. On this consideration, this chapter has been presented in two sections
as follows:
Section 1: General findings on problem faced by the jackfruit growers
Section 2: The development of conceptual framework of the study
2.1 General findings on problems and prospect of jackfruit commercialization and
also related to other crops
All the fruits grown have economic importance for the fruit growers and all types of
middlemen involved for their economic empowerment and also rest of the country. Huge
quantity of fruits supplied to the market for meeting up large amount of fruit demand of
people can be proved as economically active zone of the country. But fruit marketing
system is not so developed in most of the area of Bangladesh. There present a quite
problem i.e., transportation problem, road infrastructure problem, absence of cold storage
and processing center etc.
14
Khandaker et al. (2009) found that appropriate marketing infrastructure is crucial for
efficient marketing of fruits. Adequate transportation and product handling are also
important for the trade of agricultural products and important factors in assuring good
prices and poverty alleviation.
According to World Bank (2005) investment is required for improved maintenance of
road and port infrastructures. In addition to infrastructure development, modification of
policies and management are also needed to improve appropriate and timely shipping of
perishables.
IDAF (2009) reported that, a weak agricultural credit system, unorganized market
structure, unfavorable weather, small land holding sizes and inadequate technology
development contributes to low productivity in the smallholder sector.
Majumder (2011) reported that local farmers have been facing problems due to low prices
of jackfruit, which were supposed to get bumper yields in eight upazilas of hilly district of
Khagrachhari. In his report, he showed some scenario like a farmer namely Abul Kashem
from Taindong village under Matiranga upazilla counted a loss of Tk. 800 after selling
4,000 jackfruit at Tk 25,000 only. He blamed poor transpiration system, lower prices and
absence of government control on the market regarding this issue.
Ahmmed (2010) conducted a research on postharvest loss assessment and nutritional
quality of jackfruit. The survey was conducted in Mymensingh and Gazipur districts and
the laboratory experiments were conducted at the laboratories of the Department of
Horticulture, Plant Pathology and Biochemistry, BAU, Mymensingh. Findings of the
study revealed that the postharvest problem of the jackfruit at the ‘growers’, ‘Bepari’,
‘wholesalers’ and ‘retailers’ levels were 16.13 percent, 11.40 percent, 9.22 percent and
6.76 percent, respectively and the total postharvest loss of jackfruit was estimated to be
43.51 percent in the entire supply chain. The losses occurred mainly due to improper
storage, careless handling and traditional transport system of marketing.
15
Hassan et al. (2011) observed that post-harvest wastage of 13 selected fruits and
vegetables in major growing areas annually costs the country about Tk 3,442 crore on
retail price. Findings also showed that the post-harvest loss ranges from 23.6 to 43.5
percent of the fruits and vegetables that include jackfruit, pineapple, papaya, mango,
litchi, banana, orange, cucumber, cauliflower, tomato, okra, brinjal, and red amaranth.
Among the selected fruits, post-harvest problems have been found maximum 44 percent in
jackfruit with main diseases syndromes of shoot and fruit borer, stem-bleeding, and died-
back that appeared as the serious threat in the leading jackfruit producing areas such as
Mymensingh and Gazipur. The loss is attributed to the fact that jackfruit is seriously
damaged by fruit borer (insects) and is soft rot since the growers of the surveyed region,
Mymensingh and Gazipur, hardly apply any pesticides or fungicides to reduce damages in
the field. The second important reason for higher loss in jackfruit is the excessive use of
ripening chemicals, which accelerate fruit ripening and dramatically shorten shelf life.
Haque (2006) opined that post harvest problems of jackfruit can be as much as 30-34
percent.
In a study in India Mitra (2010) reported that high cumulative wastages were found across
the supply chain which were Mango : 22 percent, Banana : 30 percent, Guava : 16 percent,
Litchi : 25 percent, Pineapple : 20 percent, Jackfruit : 12 percent.
Medagoda (2011) observed in a study that a very low percentage of total produce is
consumed as a food amounting 30 percent and greater percentages, amounting to about 70
percent is lost in the form of pre and post-harvest problems. The major constraint reported
in marketing were the absence of properly organized marketing structures, lack of
processing plants and the poor demand in local market for jack products. An integrated
approach would improve productivity, quality and income from jack cultivation
contributing to poverty alleviation in the rural sector to a considerable extent.
Patil (2008) found that ‘Higher the value addition better the pH management and lower
will be losses’. He also mentioned some reasons for losses such as handling of raw
16
produce through many stages of middlemen, processing is mostly controlled by urban
rather than rural entrepreneurs which leads to losses in valuable by products, non
availability of adequate and efficient equipment and machinery to be used in catchment
areas, low level of entrepreneurial urge in rural areas due to constraints of finance, assured
market and proper training on technology and on the whole, there exists a fragmented and
inefficient value chain.
Laordenet et al. (2011) found average post harvest losses for jackfruit across marketing
levels was 28.30 percent in Philippine.
Mojica (2010) reported in a study that the official report from the BAS stated that jackfruit
production continued to slow down by three percent annually since 2003 and recorded a
13.14 percent drop from the period of January to September 2009. In its Crop Statistics
report from the period of 2003-2008, BAS said that the country produced 884 thousand mt
of jackfruit in 2008, 14 percent lower than the 1,024 thousand mt in 2007. This drop,
according to the report, resulted from the adverse effects of typhoon Frank, rains during
flowering stage, less flower induction, toppling down of trees due to typhoon Cosme, and
the attack of anthracnose.
Amiruzzaman (1990) found that the magnitude of post-harvest losses of major fruits and
vegetables in Bangladesh is 25-50 percent and it is only 5-25 percent in developed
countries as reported by Khader, 1992.
Carlos (1992) reported that the post-harvest loss of mango has been estimated 17 percent
in Bangladesh.
Hossain(1989) stated that 40 percent post-harvest losses of mango occur due to improper
harvesting, handling and lack of storage technique especially processing and preservation
technique.
Azad (2000) reported that 27 percent post-harvest loss of mangoes occurs due to improper
harvesting and handling.
17
Pantastico (1977) opined that the amount of post-harvest loss of fruits and vegetables each
year in the Philippines has been estimated at 29 metric tons of protein which could supply
the protein requirement of 1.3 M Filipinos.
Hussain, (1993) found that Post-harvest losses in durable crops ranged between 10-15
percent; loss in semi-perishable crops was 15-30 percent and that of perishables, 25-40
percent. During the peak season for example, about 50 percent fruits mainly pineapple,
watermelon, jackfruit, tomato etc. is lost due to inadequate processing facilities in
Bangladesh.
FAO (1989) reported that estimates of the post-harvest losses of food grains in the
developing world from mishandling, spoilage and pest infestation are put at 25 percent;
this means that one-quarter of what is produced never reaches the consumer for whom it
was grown, and the effort and money required to produce it are lost-forever. Fruit,
vegetables and root crops are much less hardy and are mostly quickly perishable, and if
care is not taken in their harvesting, handling and transport, they will soon decay and
become unfit for human consumption. Estimates of production losses in developing
countries are hard to judge, but some authorities put losses of sweet potatoes, plantain,
tomatoes, bananas and citrus fruit sometimes as high as 50 percent, or half of what is
grown. Reduction in this wastage, particularly if it can economically be avoided, would be
of great significance to growers and consumers alike.
Yuen and Teng (1990) revealed that Post-harvest losses in tropical fruits have been
estimated to average between 15 percent–25 percent of production and do not appear to
differ between the main crops of bananas, plantains, citrus, mangoes, pineapple, papaya,
and avocado. NAC (1978) found in a study that post-harvest losses occur up to 50 percent
in perishable agricultural commodities in developing countries.
Chaudhury (1998) observed that the sum-total of losses in food grains amount to 1.44
million tons valued at Rs.3.13 billion which if converted into dollar currency units will
18
equal to 316.15 million, US Dollars. From any international standard, it is an immense
recurring loss which the developing economy of Pakistan can hardly afford to bear.
Oyeniran (1988) revealed that although postharvest loss estimate figure for fruits and
vegetables are difficult to substantiate especially in developing countries like Nigeria, it is
however estimated that losses as high as 50 – 70 percent are common in the tropics
between the production areas and consumption points.
Kader (1992) showed that the magnitude of post-harvest losses of fresh fruits and
vegetables is estimated to be 5 to 25 percent in developed countries and 20 to 50 percent
in developing countries depending upon commodity.
Gathambiriet al. (2006) showed Percentage postharvest losses of mango fruit in Kenya is
about 45 percent and one of the causes is due to excess fruits in the market during the peak
seasons. Postharvest value addition technologies would reduce the losses giving farmers
high returns for their crop.
Mollaet al. (2010) found that the postharvest losses of litchi were mainly at harvesting (8.0
percent), handling from orchard to selling point by the growers and beparies involved in
harvesting (4.61 percent) and after buying to consumption by the consumers (7.5 percent).
Considering the channels involved in litchi marketing, the growers and/or beparies
engaged in harvesting had the highest percent of losses (16percent in Dinajpur, 12percent
in Ishurdi, and 11 percent in Natore) followed by the consumers (7.5percent).
It is evident from the past studies that every occurrence or phenomenon is the outcome of
a number of variables, which may or may not be interdependent or interrelated with each
other. Variables together are the cause effect and thus, there is cause-effect relationship
everywhere in the universe. So, the researcher have come in point to study the relationship
of the jackfruit growers and jackfruit with the commercialization problem of jackfruit and
its prospect.
19
2.2 Conceptual framework of the study
In scientific research, selection and measurement of variables constitute an important task.
The hypothesis of a research while constructed properly contains at least two important
elements i.e. “a dependent variable” and “an independent variable”. A dependent variable
is that factors which appears, disappears or varies as the researcher introduces, removes or
varies the independent variables (Townsend, 1953). An independent variable is that factor
which is manipulated by the researcher in his attempt to ascertain its relationship to an
observed phenomenon. In view of prime findings of review of literature, the researcher
constructed a conceptual framework of the study that is self-explanatory and is presented
in Fig. 2.1.
20
Conceptual framework
Figure 2.1 Conceptual framework of the study
Independent variables Dependent variable
Jackfruit growers and jackfruit
characteristics
Age
Education
Jackfruit land size
Jackfruit tree number
Annual family income from jackfruit
Experience in jackfruit cultivation
Knowledge on jackfruit cultivation
Diversified use of jackfruit
Nutritional importance of jackfruit
Selling demand of jackfruit at
different marketing system
Selling price of jackfruit at different
marketing system
Problems and prospects
of jackfruit
commercialization
21
Chapter 3
Materials and Methods
Methodology refers to the methods and procedures in the research work. In any scientific
research, methodology plays an important role and requires a very careful consideration.
More appropriate the methodology more accurate the research. The basic materials for
conducting any research are the unbiased information and facts.
Methodology should be appropriate so that the research will be able to collect necessary
data and analyze them in a proper way, which will help him to reach correct decision.
Building of research methodology requires a vast knowledge, experience and skill.
Considering this, the researcher went through previous studies, obtained from supervisors
and experts regarding all aspects of this piece of the study.
A sequential description of the methodologies followed in conducting this research work
has been presented in this chapter.
3.1 Locale of the Study
The study was conducted in purposively selected one Upazillas namely Bhaluka under
Mymensingh District. Two villages from the Upazillas as such Kachina, habirbari and
Honpara under Bhaluka Upazilla were also purposively selected as the locale of the study
as these areas are very much famous of producing jackfruit. The map of Bangladesh
showing the study districts appears in the Figure 3.1. The maps of selected districts
showing locale the study Upazillas are shown in Figure 3.2.
22
3.2 Population and Sample of the Study
The researcher himself with the cooperation of local leaders and concerned with Sub-
Assistant Agriculture Officer (SAAO) collected an updated list of all the jackfruit
cultivators of the selected villages of respective upazila. The total number of farm families
(jackfruit cultivators) in these villages was 825; where 307 farm family heads from
Kachina village and 518 from Honpara village under the upazila of Bhaluka which
constituted the population of the study. A total of 825 jackfruit growing farmers were
listed which constituted the population of this study.
3.2.1. Population Sampling
There are several methods for determining the sample size. Here, researcher used
Yamane’s (1967) formula for study group:
n =
Where,
n = Sample size;
N, Population size = 825;
e, The level of precision = 10% ;
z = the value of the standard normal variable given the chosen
confidence level (e.g., z = 1.96 with a confidence level of 95 %) and
P, The proportion or degree of variability = 50%;
So, the sample size (n) is = 86.
23
3.2.2. Distribution of the Population of Sample Size
According to Yamane’s formula, the respondent comprising 86 farmers.
A reserve list of 10 farmers was also prepared. Farmers in the reserve list were used only
when a respondent in the original list was not available. The distribution of the sample
farmers and those in the reserved list from the villages is shown in Table 3.1.
Table 3.1 Population and sample of the study
Sl. No. District Upazila Village Number of Jackfruit
growing farmers
Reserve
List Size
Population Sample
1. Mymensingh Bhaluka Kachina 307
86
4
Honpara 518 6
Total 825 10
3.3 Data Collecting Instrument
In order to collect relevant information from the respondents, a previously structured
interview schedule was prepared in Bengali considering the objectives of the study. The
interview schedule was pre-tested in actual field situations before using the same for final
data collection. This survey provided an opportunity to examine the effectiveness of the
schedule which revealed some unforeseen defects associated with it. Necessary correction,
modification and adjustment were made in the interview schedule on the basis of results of
pre-test. The interview schedule was then printed in its final form. An interview schedule
in English version has been presented in Appendix- A.
24
Fig. 3.1 Map showing Mymensingh district
25
Fig. 3.2 Map showing Bhaluka upazila
26
3.4 Variables of the Study
A variable is any characteristics which can assume varying or different values in
successive individual cases (Ezekiel and Fox, 1959). In a descriptive research, the
selection and measurement of the variables are the important task. Based on relevant
available literature, discussion with teachers, experts and research fellows in the relevant
field and considering the time and resources available to the researcher, variables were
selected. The researcher selected eight characteristics of the jackfruit growers as the
variables.
The characteristics includes age, education, jackfruit land size, jackfruit tree number,
annual family income from jackfruit, experience in jackfruit cultivation, knowledge on
jackfruit cultivation, diversified use of jackfruit, nutritional importance of jackfruit, selling
demand of jackfruit at different marketing system and selling price of jackfruit at different
marketing system. On the other hand, problems and prospects of jackfruit
commercialization as perceived by the jackfruit growers were the main focus of the study.
3.5 Measurement of Variables
In order to conduct the study in accordance with the objectives, it was necessary to
measure the variables. The procedure for measuring the variables has been described
below.
Age
Age of the respondents was measured in terms of year. The age of a respondent was
measured by counting the period of time from his birth to the time of interview. A score of
one (1) was assigned for each year of age. It was measured in complete years as reported
by a respondent. Question regarding this variable appears in item number 1 in the
interview schedule as presented in Appendix- A.
27
Level of Education
Education of a jackfruit grower was measured by the number of years of schooling
completed in an educational institution. A score of one (1) was given for each year of
schooling completed. If a jackfruit grower didn’t t know how to read and write, his/her
education score was zero, while a score of 0.5 was given to a farmer who could sign his
name only. If a farmer completes primary level of education his/her score was considered
as scoring 5 as well as 10 for secondary level of education and above 10 means higher
education (Appendix-A).
Jackfruit land size
It refers to the area of land owned by a jackfruit grower on which jackfruit growing
activities are carried out. However, it was estimated in terms of hectare. Data obtained in
response to questions under item no. 3 in the interview schedule (Appendix-A) formed the
basis for determining jackfruit cultivation area of the respondent.
Number of jackfruit trees
The number of jackfruit trees of a jackfruit grower was measured in terms of actual
number. It was measured by counting the total number of trees what a respondent had. A
score of one (1) was assigned for each tree. Question regarding this variable appears in
item number 4 in the interview schedule as presented in Appendix- A.
Annual income from jackfruit
The annual income from jackfruit of a jackfruit grower is an important indicator of how
much s/he can earn in his jackfruit business. Annual income from jackfruit was the
income earned by the respondent from selling jackfruit. Annual income from jackfruit was
measured in `thousand' Taka. The score 1(one) was assigned for each ‘000’ taka to
compute the score of annual income from jackfruit of the respondent. Questions regarding
this variable appear in item no. 5 of the interview schedule.
28
Experience in jackfruit cultivation
Experience in jackfruit cultivation of a respondent was measured on the basis of his
duration of jackfruit cultivation in terms of years. The experience of a respondent was
measured by counting the period of time of jackfruit cultivation. A score of one (1) was
assigned for each year of jackfruit cultivation. It was measured in complete years as
reported by a respondent. Question regarding this variable appears in item number 6 in the
interview schedule as presented in Appendix- A.
Knowledge on Jackfruit cultivation
Knowledge refers to the ability of a respondent to recall or recognize items of information
related to anything. A scale consisting of 14 questions was used to determine the
knowledge score of the respondents on jackfruit cultivation. The questions were selected
from different dimensions of Jackfruit production, harvesting and marketing after
thorough consultation with the relevant experts and review of relevant literatures as shown
in Appendix A. Each respondent was asked 20 questions. A score of two (2) was assigned
for each complete and correct answer and 0 (zero) for incorrect or no answer for each
question. Partial score was assigned for partially correct answer for each question. Thus,
the total assigned score of all the questions was 28. The total score obtained by answering
all the questions by a respondent was the knowledge score of the respondents. Thus, the
score could range from 0 to 28 where ‘0’ indicating ‘very low knowledge’ and ‘28’
indicating ‘very high ‘knowledge’ on jackfruit cultivation. Questions regarding this
variable appear in item no. 7 of the interview schedule.
29
Diversified use of jackfruit
A scale consisting of 6 questions was used to determine the diversified use of jackfruit
knowledge score of the respondents. Each respondent was asked 6 questions. For each
question three categories was asked as High, Medium, Low and assigned score was 3, 2 and 1
respectively. Thus, the total assigned score of all the questions was 18. Thus, the score
could range from 6 to 18 where ‘6’ indicating ‘very low diversified use of jackfruit
knowledge and ‘28’ indicating ‘very high ‘diversified use of jackfruit knowledge’ on
jackfruit. Questions regarding this variable appear in item no. 8 of the interview schedule.
Nutritional importance
A scale consisting of 3 item questions on awareness was used to determine the Nutritional
importance score of the respondents. Each respondent was asked 3 questions. For each
question four categories of opinion was asked as Strongly agreed, Agreed, No opinion
Disagreed and Strongly disagree assigned score was 4, 3, 2, 1 and 0 respectively. Thus, the total
assigned score of all the questions was 12. Thus, the score could range from 3 to 12 where
‘3’ indicating ‘very low diversified use of jackfruit knowledge and ‘28’ indicating ‘very
high ‘diversified use of jackfruit knowledge’ on jackfruit. Questions regarding this
variable appear in item no. 9 of the interview schedule.
Demand variation in different marketing system
A scale consisting of 3 items of opinion as high, medium and low and assigned score was
3, 2, 1 respectively for both local market and national market.
Price variation on different marketing system
A scale consisting of 3 items of opinion as high, medium and low and assigned score was
3, 2, 1 respectively for both local market and national market.
30
Measurement of PPAI (Problem and Prospects Appearance Index)
The extent of problem and prospect of jackfruit commercialization index was measured by
the following formula
PPAI was measured on the basis of 12 selected problems item and 5 selected prospects
item.
The respondents were asked to express their degree of opinion in the form of ‘Strongly
agreed, ‘Agreed, ‘No opinion ‘Disagreed, and ‘Strongly disagree, while scores assigned to
the above four responses were 4, 3, 2, 1 and 0 respectively.
An Problem and Prospects Appearance Index (PPAI) was used to measure the dependent
variable.
PPAI = N × S + N × A + N × O + N × D + N× SD
Where,
PPAI = Problem and Prospects Appearance Index
N = Number of farmers;
S = Strongly agreed;
A = Agreed;
O = No opinion;
D = Disagreed;
SD= Strongly disagree;
Thus, PPAI for a particular problem and prospect could range from ‘0’ to ‘320’, while ‘0’
indicating no problem ‘360’ indicating highest problem faced.
3.7 Hypothesis of the Study
A hypothesis is a proposition or a set of proposition set forth as an explanation for the
concurrence of some specific group of phenomena either asserted merely as a provisional
conjecture to guide some investigation or accepted as highly probably in the light of
established fact (Kothari, 1994). Hypothesis may be divided into two categories- a)
31
Research hypothesis (Hi) and b) Null hypothesis (Ho). A null hypothesis states that there
is no relationship between the concerned variables. The following null hypothesis was
undertaken for the present study:
Ho: “There is no relationship of the selected characteristics of the farmers with problems
and prospect of jackfruit commercialization”.
The related characteristics age, education, jackfruit land size, jackfruit tree number, annual
family income from jackfruit, experience in jackfruit cultivation, knowledge on jackfruit
cultivation, diversified use of jackfruit, nutritional importance of jackfruit, selling demand
of jackfruit at different marketing system and selling price of jackfruit at different
marketing system.
3.8 Data Collection
The researcher himself collected data from the selected samples through personal
interview. The interview schedule prepared earlier by the researcher was used to gather
information. All possible efforts were made to explain the purpose of the study to the
respondents in order to get valid and pertinent information from them. Interviews were
conducted with respondents in their homes. While starting interview with any respondent,
the researcher was willing and took possible care to establish rapport with them so that
they did not feel hesitation to furnish proper responses to the questions and statements in
the schedule. The questions were explained and clarified whenever any respondent felt
difficulty in understanding properly.
3.9 Data Processing
The collected raw data were examined thoroughly to detect errors and omission. As a
matter of fact the researcher made a careful scrutiny while completing the interview
schedule to make sure that the information were entered as complete as possible and well
arranged to facilitate coding and tabulation. After completion of field survey, the entire
interview schedule was compiled. Local units were converted into standard unit and
32
qualitative data were converted into quantitative data by means of suitable scoring
whenever necessary. The responses of the individual respondent contained in the
interview schedule were transferred to a master sheet for entering the data in the computer.
As soon as the data entered into the computer, it was then analyzed in accordance with the
objectives of the study.
3.10 Statistical Analysis
Descriptive statistical methods like number and percentage distribution, range, mean,
standard deviation etc. were used in describing the variables of the study. For clarity and
understanding, tables were also used in presenting the data, for exploring the relationships
between the extent of losses of jackfruit as perceived by the farmers and their selected
characteristics; Pearson’s Product Moment Coefficient of Correlation (r) was used.
The analysis of data was performed by using SPSS computer program. Throughout the
study, at least five percent (0.05) level of probability was used as a basis of rejecting any
null hypothesis.
33
Chapter 4
RESULTS AND DISCUSSION
Results and discussion is the central point of whole research work. The purpose of this
chapter is to describe the findings of the study. Procedures of using data for the
measurement needed some discussion for clarity of understanding. Data obtained from
respondents by interview were measured, analyzed, tabulated and statistically treated
according to the objectives of the study. This chapter has been discussed in three sections
such as (1) selected characteristics of the jackfruit growers and jackfruit (2) Problems of
jackfruit commercialization as distinguished by farmers and prospects of jackfruit
commercialization as perceived by the jackfruit growers and (3) contribution of the
selected characteristics of the jackfruit growers and Problems and prospects of jackfruit
commercialization as distinguished by farmers.
4.1 Selected Characteristics
Eleven characteristics of the several types of jackfruit growers and jackfruit were selected
to describe and to find out their relationships with their commercialization status. These
selected characteristics were age, education, jackfruit land size, jackfruit tree number,
annual family income from jackfruit, experience in jackfruit cultivation, knowledge on
jackfruit cultivation, diversified use of jackfruit, nutritional importance of jackfruit, selling
demand of jackfruit at different marketing system and selling price of jackfruit at different
marketing system. The noticeable topographies of the eleven characteristics of the
jackfruit growers and jackfruit, each of which constituted an independent variable.
4.1.1 Age
The age of the sample farmers ranged from 21 to 64 years with an average of 43.02 and
standard deviation of 10.112. The respondents were classified into three categories on the
basis of their age (Table 4.1) following Rashid (2014) Table 4.1.
34
Table 4.1. Distribution of the jackfruit growers according to their age
Category
(age) Age range
Observed
range
Respondents Mean SD
Number Percent (%)
Young Up to 35
22 - 63
16 18.6
43.02 10.112 Middle 36 - 50 51 59.3
Old > 50 19 22.1
Total 21 - 64 86 100.00
Data showing that the highest value of proportion 59.3 percent of the jackfruit growers
were middle aged compared to 22.1 percent old and 18.6 percent being young aged.
Middle and old aged people (81.4%) generally show more problem and prospect of
jackfruit commercialization. The extension agents can target those people in designing
their extension activities.
4.1.2 Education
Education of the respondents was measured by following the procedure as discussed
earlier in Chapter 3. The education ranged from 0-12, with an average of 4.436 and
standard deviation of 4.479. The respondents were classified into five categories on the
basis of their education (Table 4.2) following Rashid et al. 2014).
Table 4.2. Distribution of the jackfruit growers according to their level of education
Category Scoring
respondents
Mean SD Number Percent
(%)
Can’t read or sign 0 29 33.7
4.436 4.479
Can sign only 0.5 13 15.1
Primary education (1-5) 1 – 5 8 9.3
Secondary education (6-10) 6 – 10 32 37.2
Higher secondary or above > 10 4 4.7
Total 0 - 12 86 100.00
35
It is determined from the Table 4.2 that 9.3 percent comprised primary education, 37.2
percent comprised of secondary education, 33.7 percent of the respondents were can’t read
or sign, 15.1 percent comprised of can sign only and 4.7 percent had above secondary
education. Table 4.2 also shows that above 46.5 percent out of the selected respondents
got primary to secondary level of education. Jalal (2009) also find similar findings in his
study. The findings indicate that education of an individual is likely to be more interested
to overcome the problems in their daily life. Thus, farming community in the study area
may be well considered as a suitable ground for the adoption of different mechanism, or
execution of change program whatever needed.
4.1.3 Jackfruit land size
Jackfruit land size varied from 17 to 875 decimal with an average of 297.50 decimal and
standard deviation of 13.43. The respondents were classified into five categories on the
basis of their farm size (Table 4.3) following DAE (Department of Agricultural
Extension)
Table 4.3. Distribution of the jackfruit growers according to their jackfruit land size
Category Score range
(ha)
Observed
range
Respondents Mean SD
Number Percent (%)
Landless ≤.02
.1 – 1.56
0 0
.703 .315
Marginal .021 - .20 1 1.2
Small .21 - 1 69 80.2
Medium 1 - 3 16 18.6
Large > 3 0 0
Total 86 100.00
Data in the Table 4.3 reveal that more than two-third (80.2 %) of the total respondent had
small farm where, no respondents were landless, 18.6 percent farmers had medium
jackfruit land, 1.2 percent respondents are marginal and no respondents had large jackfruit
land. Table 4.3. also shows that majority (98.8%) of the total respondent had small to
36
medium size of jackfruit land. Hossain et al. (2011) also found similar findings in his
study. The farmer with landless or marginal farmers has very little scope to undergo
higher commercialization of jackfruit. On the other hand the farmer with large jackfruit
land size can easily go under higher commercialization with a great scope.
4.1.4 Number of jackfruit trees
The observed jackfruit tree number of the farmers ranged from 10 to 56 with a mean of
28.58 and standard deviation of 11.750. On the basis of their jackfruit tree number, the
respondents were classified into three categories (Mean ± Standard Deviation) as shown in
Table 4.4.
Table 4.4. Distribution of the jackfruit growers according to their jackfruit tree number
Category Score range Observed
range
Respondents
Mean SD Number
Percent
(%)
Small ≤ 16
10 - 56
10 11.6
28.58 11.750 Medium 17 - 40 59 68.6
Large > 40 17 19.8
Total 86 100.00
Table 4.4 shows that farmers under low number of jackfruit trees category constitute the
lowest proportion (11.6 %) compared to 68.6 percent under highest number category and
19.8 percent under small number category. Thus, overwhelming majority (88.4%) of the
farmers had medium to large number of jackfruit trees.
4.1.5 Annual family income from jackfruit
Annual income from jackfruit of the respondents was measured in `thousand taka' per year
and in the present study that ranged from 10 to 36 with an average of 18.62 and standard
deviation of 6.841. On the basis of annual family income from jackfruit, the respondents
were divided into three categories (Mean ± Standard Deviation) as shown in Table 4.5.
37
Table 4.5. Distribution of the jackfruit growers according to their annual family income
from jackfruit
Category Scoring
('000' tk)
Observed
range ('000'
tk)
Number of respondents Mean
('000'
tk)
SD Number
Percent
(%)
Low ≤ 10
10-36
10 11.6
18.62 6.841 Medium 11-25 59 68.6
High > 25 17 19.8
Total 86 100.00
Data furnished in Table 4.5 reveal that above half (68.6 %) of the respondents had
medium annual income from jackfruit while 11.6 percent and 19.8 percent of them had
low and high annual income from jackfruit respectively. Major portion of the rural farm
families possessed small to medium income and thus maximum income from jackfruit was
medium to high. Aziz (2004), Islam (2003) and Nahar (2000) found more or less similar
findings in their respective studies.
4.1.6 Experience in jackfruit cultivation
Experience in jackfruit cultivation of the respondents was measured in terms of actual
years of jackfruit cultivation and in the present study that ranged from 1 to 17 with an
average of 10.22 and standard deviation of 3.647. On the basis of experience in jackfruit
cultivation, the respondents were divided into three categories (Mean ± Standard
Deviation) as shown in Table 4.6.
Table 4.6. Distribution of the jackfruit growers according to their experience in
jackfruit cultivation
Category Scoring
(years)
Observed
range
Respondents
Mean SD
Number
Percent
(%)
Low ≤6
1 - 17
13 15.1
10.22 3.647 Medium 7 - 14 61 70.9
High > 14 12 14.0
Total 86 100.00
38
Table 4.6 shows that farmers under medium experience category constitute the highest
proportion (70.9%) compared to about same (15.1 %) low experience category and only
14.0 percent high experience category. Thus, overwhelming majority (86%) of the farmers
had low to medium experience in jackfruit cultivation. It is logical that experienced
farmers could minimize their problems in jackfruit production.
4.1.7 Knowledge on jackfruit cultivation
Knowledge on jackfruit cultivation score of the respondents ranged from 8 to 26 against
the possible range of 0 - 28 having an average of 15.40 and standard deviation of 6.708.
On the basis of knowledge scores, the respondents were classified into three categories
(Mean ± Standard Deviation) namely, ‘poor knowledge’, ‘medium knowledge’ and ‘high
knowledge’. The distribution of the respondents according to their knowledge on jackfruit
cultivation is given in Table 4.7.
Table 4.7. Distribution of the jackfruit growers according to their knowledge on
jackfruit Cultivation
Category Scoring Observed
range
Respondents Mean SD
Number Percent (%)
Poor 0 - 10
8 - 26
20 23.3
15.40 6.708 Medium 09 - 22 46 53.5
High 23 - 28 20 23.2
Total 0 - 28 86 100.00
Data of Table 4.7 shows that above fifty percent (53.5%) of the respondents felt in
medium knowledge category followed by 23.3 percent in low knowledge category and
only 23.2 percent in high knowledge category. The findings of the present study again
reveal that maximum (76.8%) jackfruit growers in the study area had poor to moderate
knowledge on jackfruit cultivation. Knowledge is to be considered as vision of an
explanation in any aspect of the situation regarding jackfruit cultivation. It is act or state of
understanding, clear perception of fact or truth that helps an individual to foresee the
39
consequence he may have to face in future. It makes individuals to become rational and
conscious about related field. To perform optimum production, jackfruit growers should
have adequate knowledge on different aspects of it.
4.1.8 Diversified use of jackfruit
Diversified use of jackfruit by the respondents was measured in terms of multipurpose use
of jackfruit and in the present study that ranged from 8 to 17 with an average of 10.15 and
standard deviation of 3.281. On the basis of diversified use of jackfruit, the respondents
were divided into three categories (Mean ± Standard Deviation) as shown in Table 4.8.
Table 4.8. Distribution of jackfruit growers according to their diversified use of jackfruit
Category Scoring Observed
range
Number of respondents
Mean SD
Number
Percent
(%)
Low ≤7
8- 17
11 12.8
10.15 3.281 Medium 8 - 13 58 67.4
High >13 17 19.8
Total 86 100.00
Table 4.8 shows that farmers under diversification of jackfruit use category constitute the
highest proportion (67.4%) under medium category compared to 19.8 under high category
and only 12.8 percent under low category. Thus, overwhelming majority (87.2%) of the
farmers had medium to high knowledge on diversified use of jackfruit.
4.1.9 Nutritional importance of jackfruit
Nutritional importance of jackfruit among the respondents was measured with knowledge
on nutrients status in jackfruit by the farmers and in the present study that ranged from 5
to 12 with an average of 7.07 and standard deviation of 2.20. On the basis of nutritional
importance of jackfruit, the respondents were divided into three categories (Mean ±
Standard Deviation) as shown in Table 4.9.
40
Table 4.9. Distribution of jackfruit growers according to their nutritional importance of
jackfruit
Category Scoring Observed
range
Respondents Mean SD
Number Percent (%)
Low ≤4
5 - 12
0 0
7.07 2.200 Medium 5 - 9 65 75.6
High >9 21 24.4
Total 86 100.00
Table 4.9 represented that most of the respondents (75.6%) were aware of nutritional
importance of jackfruit with medium level of importance regarding nutritional value where
24.4% had high nutritional knowledge of jackfruit. No respondents had low nutritional
knowledge of jackfruit.
4.1.10 Selling demand of jackfruit at different marketing system
Selling demand of jackfruit at different marketing system given opinion among the
respondents was measured by the situation of market condition where jackfruit selling
occurred frequently high, medium or low level. Two level of marketing system was
considered as local market and national market. Score range was 1 to 3 for both local and
national market with mean values of 1.37 and 1.83 respectively and standard deviation of
1.14 and 1.24 respectively presented in Table 4.10.
41
Table 4.10. Jackfruit growers response on selling demand of jackfruit at different
marketing system
Market
category
Demand
variation Score
Number of respondents Mean SD
Number Percent (%)
Local market
Low 1 62 72.09
1.37 1.14 Medium 2 20 23.26
High 3 4 4.65
National
market
Low 1 17 19.76
1.83 1.24 Medium 2 59 68.60
High 3 10 11.64
Selling demand varied due to market difference. Table 4.10 shows that selling demand is
greater in national market than local market. 72.09 percent respondent opined that selling
demand is low in local market where only 23.26 percent in favor for national market with
this opinion. About 68.60 percent respondents (medium level) showed that selling
demand is medium in national market where 11.64 percent respondents were in favor of
high selling demand in national market. But in case of local market, only 4.65 percent
respondents showed that selling demand is high in local market and 19.76 percent
respondents showed that selling demand is low in national market.
4.1.11 Selling price of jackfruit at different marketing system
Selling price of jackfruit at different marketing system given opinion among the
respondents was measured by the situation of market condition where jackfruit selling
occurred frequently high, medium or low level. Two level of marketing system was
considered as local market and national market. Score range was 1 to 3 for both local and
national market with mean values of 1.57 and 2.06 respectively and standard deviation of
1.23 and 1.17 respectively presented in Table 4.11.
42
Table 4.11. jackfruit growers response on selling price of jackfruit at different marketing
system
Market
category
Demand
variation Score
Number of respondents Mean SD
Number Percent (%)
Local market
Low 1 52 60.46
1.57 1.23 Medium 2 26 30.23
High 3 8 9.31
National
market
Low 1 13 15.12
2.06 1.17 Medium 2 51 59.30
High 3 22 25.58
Selling price varied due to market difference. Table 4.10 shows that selling price is greater
in national market than local market. Maximum (60.46 percent) respondent opined that
selling price is low in local market where only 15.12 percent was in favor for national
market with this opinion. About 59.30 percent respondents showed that selling price is
medium in national market where 25.58 percent respondents were in favor of high selling
price in national market. But in case of local market, only 9.31 percent respondents
showed that selling price is high in local market and 15.12 percent respondents showed
selling price is low in national market. It is true that market price of any product depends
on its quality and sufficient supply. If quality product is supplied to a national market,
prospect of jackfruit cultivation in terms of cash return may by high.
4.1.12 Problem faced by the farmers’ for commercialization
The scores of problem faced in jackfruit commercialization of the respondents ranged
from 9 to 33 against the possible range of 0 – 36 with an average of 18.81 and standard
deviation of 6.203. Based on the observed scores of problem faced in jackfruit
commercialization, the respondents were classified into the three categories (Mean ±
Standard Deviation) i.e. low problem, medium problem and high problem faced. The
distribution has been shown in Table 4.12.
43
Table 4.12.Problem faced by the Jackfruit farmers for jackfruit commercialization
Category Scoring Observed
range
Respondents
Mean SD
Number
Percent
(%)
Low ≤12
9 - 33
12 14.0
18.81 6.203 Medium 13 - 25 58 67.4
High >25 16 18.6
Total 86 100
More than half (67.4 %) of the respondents faced medium problem in jackfruit
commercialization activities, while 18.6 percent faced high problems and only 14.0
percent faced low problems. Findings again revealed that overwhelming majority (86.0%)
of the farmers faced medium to high problems in jackfruit commercialization. It is quite
logical that farmers facing lower problems could minimize their losses of jackfruit during
production phases and proper marketing in time.
4.1.13 Prospects of jackfruit commercialization
The scores of prospects of jackfruit commercialization of the respondents ranged from 3
to 12 against the possible range of 5 – 20 with an average of 7.36 and standard deviation
of 2.254. Based on the observed scores, prospects of jackfruit commercialization, the
respondents were classified into three categories (Mean ± Standard Deviation) i.e. low,
medium and high Prospects of jackfruit commercialization. The distribution has been
shown in Table 4.13.
Table 4. 13. Prospects of jackfruit commercialization as perceived by the farmers
Category Scoring Observed
range
Respondents Mean SD
Number Percent (%)
Low ≤4
3 - 12
7 8.1
7.36 2.254 Medium 5 - 10 68 79.1
High >10 11 12.8
Total 86 100.00
44
Majority of the respondents (79.1 %) perceived medium level prospect of jackfruit
commercialization, while 12.8 percent found high level Prospects of jackfruit
commercialization and only 8.1 percent respondents confirmed low level of Prospects for
jackfruit commercialization. Findings again revealed that overwhelming majority (91.9%)
of the farmers observed medium to high level prospects of jackfruit commercialization. It
is quite consistent that farmers are watching in future, commercialization of jackfruit has
great prospect though having severe problems of its commercialization.
4.2. Problem and Prospects Appearance Index (PPAI)
The observed problem and prospect appearance index regarding jackfruit
commercialization ranged from 196 to 344 against the possible range of 0 to 344. The
formula for determining PPAI has been shown in chapter 3. The selected seventeen
problems and prospects observed by the respondents which were arranged in rank order
according to their problem and prospect appearance index (PPAI) are shown in Table
4.14.
On the basis of PPAI, it was observed that ‘Trees don’t give jackfruit regularly’ problem
ranked first followed by followed by fall of immature fruit, deformed fruits, rotten
inflorescence due to insect attack which were ranked 2nd
, 3rd
and 4th
respectively where
quick rot after harvesting and high prices of inputs were ranked 17th
and 16th
among the
faced problems for jackfruit commercialization.
On the basis of PPAI, considering prospects of jackfruit commercialization ‘Possible to
increase jackfruit cultivation area’ ranked first followed by ‘government facilities can be
provided for commercial purpose’, ‘possible to increase jackfruit production even in
existing situation’ and ‘enough supply of jackfruit is possible if marketing system and
exporting policy are developed here’ that was ranked 2nd
, 3rd
and 4th
. The prospect of
‘enough supply of jackfruit is possible if industrial demand is high’ was ranked last.
45
Table 4.14. Rank order of problem and prospects of jackfruit commercialization
Sl.
No
Terms on
problems and
prospects of
jackfruit
commercialization
Strongly
agreed
(4)
Agreed
(3)
No
opinion
(2)
Disagre
ed (1)
Strongly
disagreed
(0) PPFI
Rank
order
Problems of jackfruit commercialization
1. Trees don’t give
jackfruit regularly 86 0 0 0 0 344 1
2. Fall of immature
fruit 54 32 0 0 0 312 2
3. Deformed fruits 42 44 0 0 0 300 3
4.
Rotten
inflorescence due
to insect attack
38 43 5 0 0 291 4
5.
Disease
controlling
problem
33 51 2 0 0 289 5
6. Insect controlling
problem 30 48 8 0 0 280 6
7.
Disease
dissemination in
inflorescence
26 45 6 9 0 260 7
8.
Unavailability of
transporting post-
harvest marketing
23 44 9 10 0 252 8
9. Lower market
price 22 43 10 11 0 248 9
10. Damaged caused
during marketing 13 29 34 10 0 217 10
11. High prices of
inputs 10 36 18 22 0 206 11
12. Quick rot after
harvesting 12 29 22 23 0 202 12
46
Prprospects of jackfruit commercialization
1.
Possible to
increase jackfruit
cultivation area
32 37 7 10 0 263 1
2.
Government
facilities can be
provided for
commercial
purpose
18 44 13 11 0 241 2
3.
Possible to
increase jackfruit
production even
in existing
situation
24 33 12 17 0 236 3
4.
Enough supply of
jackfruit is
possible if
marketing system
and exporting
policy are
developed here
14 43 8 21 0 222 4
5.
Enough supply of
jackfruit is
possible if
industrial demand
is high
16 27 26 17 0 214 5
PPAI = Problem and Prospects Appearance Index
47
4.3 Relationship of the selected characteristics of the jackfruit farmers and problems
of jackfruit commercialization
The purpose of this section is to examine the relationship of 11 selected characteristics of
the jackfruit farmers with commercialization regarding problems and prospect as
perceived by them.
The selected characteristics of the farmers include age, education, jackfruit land size,
jackfruit tree number, annual family income from jackfruit, experience in jackfruit
cultivation, knowledge on jackfruit cultivation, diversified use of jackfruit, nutritional
importance of jackfruit, selling demand of jackfruit at different marketing system and
selling price of jackfruit at different marketing system..
Pearson's Product Moment Coefficient of Correlation (r) has been computed to explore the
relationships. The null hypothesis formulated for this study has already been described in
Chapter 3. A null hypothesis was rejected when the observed ‘r’ value was equal or
greater than the table value of ‘r’ at 0.05 level of probability.
Two types of relationship was measured under the present study; (i) The relationships
between each of the selected characteristics of the jackfruit farmers and Problems of
jackfruit commercialization as distinguished by farmers and (ii) the relationships between
each of the selected characteristics of the jackfruit farmers and Prospects of jackfruit
commercialization as perceived by the jackfruit farmers.
The summary of the results of the correlation analysis has been presented in Table 4.15
and 4.16 showing the relationship between each of 11 selected characteristics of the
farmers and problem and prospects of jackfruit commercialization. For understanding
about the inter-correlations among all the variables Appendix-B may be seen.
48
4.3.1 The relationships between selected characteristics of the jackfruit farmers and
Problems of jackfruit commercialization
Table 4.15. Relationship between each of the selected characteristics of the jackfruit
growers and problems of commercialization
Dependent
variable Independent variable
Computed
value ‘r’
Tabulated value of
“r”
at 0.05
level
at 0.01
level
Problems of
jackfruit
commercialization
as distinguished
by farmers
Age 0.086NS
0.225 0.290
Education 0.102NS
Jackfruit land size 0.168NS
Jackfruit tree number 0.097NS
Annual family income from
jackfruit
-0.254*
Experience in jackfruit cultivation -0.235*
Knowledge on jackfruit cultivation -0.267*
Diversified use of jackfruit -0.241*
Nutritional importance of jackfruit 0.139NS
Selling demand of jackfruit at
different marketing system
-0.358**
Selling price of jackfruit at different
marketing system
-0.466**
NS Not significant
* Significant at 0.05 level of probability
** Significant at 0.01 level of probability
49
4.3.1.1 The relationships between age of the jackfruit farmers and problems faced
for jackfruit commercialization
The relationship between age of the farmers and problems faced for jackfruit
commercialization by them was determined by Pearson product moment correlation
coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between age of the jackfruit farmers and problems faced for
jackfruit commercialization by them”.
The coefficient of correlation between age of the jackfruit farmers and problems faced for
jackfruit commercialization by them is presented in Table 4.15. The coefficient of
correlation between the concerned variables was found to be 0.086. The following
observations were made on the basis of the value of correlation coefficient between the
two concerned variables of the study under consideration:
a. The relationship showed a positive trend between the concerned variables.
b. The observed value of ‘r’ 0.086) between the concerned variables was found to be
smaller than the tabulated value (r = 0.225) with 84 degrees of freedom at 0.05
level of probability.
c. The null hypothesis could not be rejected.
d. The relationship between the concerned variables was not statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that age of the jackfruit famers had no
significant relationships with problems faced for jackfruit commercialization by the
farmers. That means problems for jackfruit commercialization occur for all aged farmers.
This represent that age of the respondent farmers was not an important factor for problems
of jackfruit commercialization by them.
50
4.3.1.2 The relationships between education of the jackfruit farmers and problems
faced for jackfruit commercialization
The relationship between level of education of the jackfruit farmers and problems of
jackfruit commercialization by them was determined by Pearson product moment
correlation coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between level of education of the jackfruit farmers and problems
faced for jackfruit commercialization by them”.
The coefficient of correlation between level of education of the jackfruit farmers and
problems faced for jackfruit commercialization by them is presented in Table 4.15. The
coefficient of correlation between the concerned variables was found to be 0.102. The
following observations were made on the basis of the value of correlation coefficient
between the two concerned variables of the study under consideration:
a. The relationship showed a positive trend between the concerned variables.
b. The observed value of ‘r’ 0.102) between the concerned variables was found to be
smaller than the tabulated value (r = 0.225) with 84 degrees of freedom at 0.05
level of probability.
c. The null hypothesis could not be rejected.
d. The relationship between the concerned variables was not statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that level of education of the jackfruit
famers had no significant relationships problems faced for jackfruit commercialization by
the farmers. That means problems of jackfruit commercialization occur for all ‘level of
education’ category farmers. This represent that level of education of the respondent
farmers was not an important factor for problems of jackfruit commercialization by them.
51
4.3.1.3 Relationship between jackfruit land size of the farmers and problems faced
for jackfruit commercialization by them
The relationship between jackfruit land size of the farmers and problems faced for
jackfruit commercialization by them was determined by Pearson product moment
correlation coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between jackfruit land size of the farmers problems faced for
jackfruit commercialization by them”.
The coefficient of correlation between jackfruit land size of the farmers and problems
faced for jackfruit commercialization by them is presented in Table 4.15. The coefficient
of correlation between the concerned variables was found to be 0.168. The following
observations were made on the basis of the value of correlation coefficient between the
two concerned variables of the study under consideration:
a. The relationship showed a positive trend between the concerned variables.
b. The observed value of ‘r’ (0.097) between the concerned variables was found to be
smaller than the tabulated value (r = 0.225) with 84 degrees of freedom at 0.05
level of probability.
c. The null hypothesis could not be rejected.
d. The relationship between the concerned variables was not statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that jackfruit land size of the famers had no
significant relationships with the problems faced for jackfruit commercialization by them.
That means problems of jackfruit commercialization occur for all ‘land size’ category
farmers. This represent that jackfruit land size of the respondent farmers was not an
important factor for problems of jackfruit commercialization by them.
52
4.3.1.4 Relationship between number of jackfruit trees of the farmers and problems
faced for jackfruit commercialization by them
The relationship between number of jackfruit trees of the farmers and problems faced for
jackfruit commercialization by them was determined by Pearson product moment
correlation coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between number of jackfruit trees of the farmers and problems
faced for jackfruit commercialization by them”.
The coefficient of correlation between number of jackfruit trees of the farmers and
problems faced for jackfruit commercialization by them is presented in Table 4.15. The
coefficient of correlation between the concerned variables was found to be 0.097. The
following observations were made on the basis of the value of correlation coefficient
between the two concerned variables of the study under consideration:
a. The relationship showed a positive trend between the concerned variables.
b. The observed value of ‘r’ (0.097) between the concerned variables was found to be
smaller than the tabulated value (r = 0.225) with 84 degrees of freedom at 0.05
level of probability.
c. The null hypothesis could not be rejected.
d. The relationship between the concerned variables was not statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that number of jackfruit trees of the famers
had no significant relationships with the problems faced for jackfruit commercialization
by them. That means problems of jackfruit commercialization occur for all ‘tree number’
category farmers. This represent that jackfruit tree number of the respondent farmers was
not an important factor for problems of jackfruit commercialization by them.
53
4.3.1.5 Relationship between annual family income from jackfruit of the farmers and
problems faced for jackfruit commercialization by them
The relationship between annual income from jackfruit of the farmers and problems faced
for jackfruit commercialization by them was determined by Pearson product moment
correlation coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between annual income from jackfruit of the farmers and
problems faced for jackfruit commercialization by them”.
The coefficient of correlation between annual income from jackfruit of the jackfruit
farmers and problems of jackfruit commercialization is presented in Table 4.15. The
coefficient of correlation between the concerned variables was found to be -0.254. The
following observations were made on the basis of the value of correlation coefficient
between the two concerned variables of the study under consideration:
a. The relationship showed a negative trend between the concerned variables.
b. The observed value of ‘r’ (-0.254) between the concerned variables was found to be
greater than the tabulated value (r = 0.225) with 84 degrees of freedom at 0.05 level
of probability.
c. The null hypothesis could be rejected.
d. The relationship between the concerned variables was statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that annual family income from jackfruit of
the famers had a significant negative relationship with the problems faced by the farmers
for jackfruit commercialization. This represent that annual family income from jackfruit of
the farmers was an important factor for problems of jackfruit commercialization by them
but with the increase of problems of jackfruit commercialization, annual income from
jackfruit of the farmers decreased and vice-versa. It is quite logical that individual having
low problems of jackfruit commercialization can increase his/her income from jackfruit.
54
4.3.1.6 Relationship between experience in jackfruit cultivation of the farmers and
problems faced by the farmers for jackfruit commercialization
The relationship between experience in jackfruit cultivation of the farmers and problems
faced by the farmers for jackfruit commercialization was determined by Pearson product
moment correlation coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between experience in jackfruit cultivation of the farmers and
problems faced by the farmers for jackfruit commercialization”.
The coefficient of correlation between experience in jackfruit cultivation of the farmers
and problems faced by the farmers for jackfruit commercialization is presented in Table
4.15. The coefficient of correlation between the concerned variables was found to be -
0.235. The following observations were made on the basis of the value of correlation
coefficient between the two concerned variables of the study under consideration:
a. The relationship showed a negative trend between the concerned variables.
b. The observed value of ‘r’ (-0.235) between the concerned variables was found to be
greater than the tabulated value (r = 0.225) with 84 degrees of freedom at 0.05 level
of probability.
c. The null hypothesis could be rejected.
d. The relationship between the concerned variables was statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that experience in jackfruit cultivation of
the famers had a significant negative relationship with the problems of jackfruit
commercialization as perceived by them. This represent that experience in jackfruit
cultivation was an important factor for problems of jackfruit commercialization by the
farmers but with the increase of experience in jackfruit cultivation, problems of jackfruit
commercialization decreased. It is very much logical that individuals having higher
experience in jackfruit cultivation can reduce his/her losses of jackfruit.
55
4.3.1.7 Relationship between knowledge on jackfruit cultivation of the farmers and
problems faced by the farmers for jackfruit commercialization
The relationship between knowledge on Jackfruit cultivation of the farmers and problems
faced by the farmers for jackfruit commercialization was determined by Pearson product
moment correlation coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between knowledge on jackfruit cultivation of the farmers and
problems faced by the farmers for jackfruit commercialization”.
The coefficient of correlation between knowledge on Jackfruit cultivation of the farmers
and problems faced by the farmers for jackfruit commercialization is presented in Table
4.15. The coefficient of correlation between the concerned variables was found to be -
0.267. The following observations were made on the basis of the value of correlation
coefficient between the two concerned variables of the study under consideration:
a. The relationship showed a negative trend between the concerned variables.
b. The observed value of ‘r’ (-0.241) between the concerned variables was found to be
greater than the tabulated value (r = 0.225) with 84 degrees of freedom at 0.05 level
of probability.
c. The null hypothesis could be rejected.
d. The relationship between the concerned variables was statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that knowledge on jackfruit cultivation of
the famers had a significant negative relationship with the problems faced by the farmers
for jackfruit commercialization. This represent that knowledge on jackfruit cultivation of
the farmers was an important factor for problems of jackfruit commercialization but with
the increase of knowledge on jackfruit cultivation, problems of jackfruit
commercialization of the farmers decreased. It is quite logical that knowledgeable person
can decrease their problems.
56
4.3.1.8 Relationship between diversified use of jackfruit and problems faced by the
farmers for jackfruit commercialization
The relationship between diversified use of jackfruit and problems faced by the farmers
for jackfruit commercialization was determined by Pearson product moment correlation
coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between diversified use of jackfruit and problems faced by the
farmers for jackfruit commercialization”.
The coefficient of correlation between diversified use of jackfruit and problems faced by
the farmers for jackfruit commercialization is presented in Table 4.15. The coefficient of
correlation between the concerned variables was found to be –0.241. The following
observations were made on the basis of the value of correlation coefficient between the
two concerned variables of the study under consideration:
e. The relationship showed a negative trend between the concerned variables.
f. The observed value of ‘r’ (-0.267) between the concerned variables was found to be
greater than the tabulated value (r = 0.225) with 84 degrees of freedom at 0.05 level
of probability.
g. The null hypothesis could be rejected.
h. The relationship between the concerned variables was statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that diversified use of jackfruit of the
famers had a significant negative relationship with the problems faced by the farmers for
jackfruit commercialization. This represent that diversified use of jackfruit of the farmers
was an important factor for problems faced by the farmers for jackfruit commercialization
but with the increase of diversified use of jackfruit, problems of jackfruit
commercialization of the farmers decreased. It is quite logical that proper use of a product
can reduce the related problems.
57
4.3.1.9 Relationship between nutritional importance of jackfruit of the farmers and
problems faced by the farmers for jackfruit commercialization
The relationship between nutritional importance of jackfruit of the farmers and problems
faced for jackfruit commercialization by them was determined by Pearson product
moment correlation coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between nutritional importance of jackfruit of the farmers and
problems faced by the farmers for jackfruit commercialization”.
The coefficient of correlation between nutritional importance of jackfruit of the farmers
and problems faced by the farmers for jackfruit commercialization is presented in Table
4.15. The coefficient of correlation between the concerned variables was found to be
0.139. The following observations were made on the basis of the value of correlation
coefficient between the two concerned variables of the study under consideration:
e. The relationship showed a positive trend between the concerned variables.
f. The observed value of ‘r’ (0.139) between the concerned variables was found to be
smaller than the tabulated value (r = 0.225) with 84 degrees of freedom at 0.05
level of probability.
g. The null hypothesis could not be rejected.
h. The relationship between the concerned variables was not statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that nutritional importance of jackfruit of
the famers had no significant relationships with the problems faced by the farmers for
jackfruit commercialization. That means problems of jackfruit commercialization occur
for all ‘nutritional importance of jackfruit’ category farmers. This represent that nutritional
importance of jackfruit of the respondent farmers was not an important factor for
problems of jackfruit commercialization.
58
4.3.1.10 Relationship between selling demand of jackfruit at different marketing
system and problems faced by the farmers for jackfruit commercialization
The relationship between selling demand of jackfruit at different marketing system and
problems faced by the farmers for jackfruit commercialization was determined by Pearson
product moment correlation coefficient and examined by testing the concerned null
hypothesis:
“There is no relationship between selling demand of jackfruit at different marketing
system and problems faced by the farmers for jackfruit commercialization”.
The coefficient of correlation between selling demand of jackfruit at different marketing
system and problems faced by the farmers for jackfruit commercialization is presented in
Table 4.15. The coefficient of correlation between the concerned variables was found to
be -0.358. The following observations were made on the basis of the value of correlation
coefficient between the two concerned variables of the study under consideration:
a. The relationship showed a negative trend between the concerned variables.
b. The observed value of ‘r’ (--0.358) between the concerned variables was found to
be greater than the tabulated value (r = 0.290) with 84 degrees of freedom at 0.01
level of probability.
c. The null hypothesis could be rejected.
d. The relationship between the concerned variables was statistically significant at
0.01 level of probability.
Based on the above findings, it was concluded that selling demand of jackfruit at different
marketing system had a significant negative relationship with the problems faced by the
farmers for jackfruit commercialization. This represent that selling demand of jackfruit at
different marketing system of the farmers was an important factor for jackfruit
commercialization but with the increase of selling demand of jackfruit at different
marketing system problems of jackfruit commercialization of the farmers decreased. It is
59
quite logical that developed marketing system enhances commercialization of any product
and reduce problems.
4.3.1.11 Relationship between selling price of jackfruit at different marketing system
and problems faced by the farmers for jackfruit commercialization
The relationship between selling price of jackfruit at different marketing system and
problems faced by the farmers for jackfruit commercialization was determined by Pearson
product moment correlation coefficient and examined by testing the concerned null
hypothesis:
“There is no relationship between selling price of jackfruit at different marketing system
and problems faced by the farmers for jackfruit commercialization”.
The coefficient of correlation between selling price of jackfruit at different marketing
system and problems faced by the farmers for jackfruit commercialization is presented in
Table 4.15. The coefficient of correlation between the concerned variables was found to
be -0.466. The following observations were made on the basis of the value of correlation
coefficient between the two concerned variables of the study under consideration:
e. The relationship showed a negative trend between the concerned variables.
f. The observed value of ‘r’ (-0.466) between the concerned variables was found to be
greater than the tabulated value (r = 0.290) with 84 degrees of freedom at 0.01 level
of probability.
g. The null hypothesis could be rejected.
h. The relationship between the concerned variables was statistically significant at
0.01 level of probability.
Based on the above findings, it was concluded that selling price of jackfruit at different
marketing system had a significant negative relationship with the problems faced by the
farmers for jackfruit commercialization. This represent that selling priceof jackfruit at
different marketing system of the farmers was an important factor for jackfruit
60
commercialization but with the increase of selling priceof jackfruit at different marketing
system problems of jackfruit commercialization of the farmers decreased. It is quite
logical that developed marketing system enhances commercialization of any product and
reduce problems.
4.3.2 The relationships between selected characteristics of the jackfruit farmers and
prospect of jackfruit commercialization
Table 16. Relationship between each of the selected characteristics of the jackfruit growers and
prospects of commercialization
Dependent
variable Independent variable
Computed
value ‘r’
Tabulated value of
“r”
at 0.05
level
at 0.01
level
Prospects of
jackfruit
commercialization
as perceived by
the jackfruit
farmers
Age 0.163NS
0.225 0.290
Education 0.142NS
Jackfruit land size 0.097NS
Jackfruit tree number 0.046NS
Annual family income from jackfruit 0.464**
Experience in jackfruit cultivation 0.237*
Knowledge on jackfruit cultivation 0.248*
Diversified use of jackfruit 0.523**
Nutritional importance of jackfruit 0.248*
Selling demand of jackfruit at different
marketing system
0.233*
Selling price of jackfruit at different
marketing system
0.245*
NS Not significant
* Significant at 0.05 level of probability
** Significant at 0.01 level of probability
61
4.3.2.1 The relationships between age of the jackfruit farmers and prospects of
jackfruit commercialization
The relationship between age of the farmers and prospects of jackfruit commercialization
was determined by Pearson product moment correlation coefficient and examined by
testing the concerned null hypothesis:
“There is no relationship between age of the jackfruit farmers and prospects of jackfruit
commercialization”.
The coefficient of correlation between age of the jackfruit farmers and prospects of
jackfruit commercialization is presented in Table 4.16. The coefficient of correlation
between the concerned variables was found to be 0.163. The following observations were
made on the basis of the value of correlation coefficient between the two concerned
variables of the study under consideration:
e. The relationship showed a positive trend between the concerned variables.
f. The observed value of ‘r’ (0.163) between the concerned variables was found to be
smaller than the tabulated value (r = 0.225) with 84 degrees of freedom at 0.05
level of probability.
g. The null hypothesis could not be rejected.
h. The relationship between the concerned variables was not statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that age of the jackfruit famers had no
significant relationships with prospects of jackfruit commercialization by the farmers.
That means prospects of jackfruit commercialization come to mind for all aged farmers.
This represent that age of the respondent farmers was not an important factor for prospects
of jackfruit commercialization by them.
62
4.3.1.2 The relationships between education of the jackfruit farmers and prospects of
jackfruit commercialization
The relationship between level of education of the jackfruit farmers and prospects of
jackfruit commercialization was determined by Pearson product moment correlation
coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between level of education of the jackfruit farmers and prospects
of jackfruit commercialization”.
The coefficient of correlation between level of education of the jackfruit farmers and
prospects of jackfruit commercialization is presented in Table 4.16. The coefficient of
correlation between the concerned variables was found to be 0.142. The following
observations were made on the basis of the value of correlation coefficient between the
two concerned variables of the study under consideration:
e. The relationship showed a positive trend between the concerned variables.
f. The observed value of ‘r’ (0.142) between the concerned variables was found to be
smaller than the tabulated value (r = 0.225) with 84 degrees of freedom at 0.05
level of probability.
g. The null hypothesis could not be rejected.
h. The relationship between the concerned variables was not statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that level of education of the jackfruit
famers had no significant relationships prospects of jackfruit commercialization by the
farmers. That means prospects of jackfruit commercialization take place for all ‘level of
education’ category farmers. This represent that level of education of the respondent
farmers was not an important factor for prospects of jackfruit commercialization.
63
4.3.1.3 Relationship between jackfruit land size of the farmers and prospects of
jackfruit commercialization
The relationship between jackfruit land size of the farmers and prospects of jackfruit
commercialization by them was determined by Pearson product moment correlation
coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between jackfruit land sizes of the farmers’ prospects of jackfruit
commercialization”.
The coefficient of correlation between jackfruit land size of the farmers and prospects of
jackfruit commercialization is presented in Table 4.16. The coefficient of correlation
between the concerned variables was found to be 0.097. The following observations were
made on the basis of the value of correlation coefficient between the two concerned
variables of the study under consideration:
e. The relationship showed a positive trend between the concerned variables.
f. The observed value of ‘r’ (0.097) between the concerned variables was found to be
smaller than the tabulated value (r = 0.225) with 84 degrees of freedom at 0.05
level of probability.
g. The null hypothesis could not be rejected.
h. The relationship between the concerned variables was not statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that jackfruit land size of the famers had no
significant relationships with the prospects of jackfruit commercialization. That means
prospects of jackfruit commercialization arise for all ‘land size’ category farmers. This
represent that jackfruit land size of the respondent farmers was not an important factor for
prospects of jackfruit commercialization.
64
4.3.2.4 Relationship between number of jackfruit trees of the farmers and prospects
of jackfruit commercialization
The relationship between number of jackfruit trees of the farmers and prospects of
jackfruit commercialization was determined by Pearson product moment correlation
coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between number of jackfruit trees of the farmers and prospects of
jackfruit commercialization”.
The coefficient of correlation between number of jackfruit trees of the farmers and
prospects of jackfruit commercialization is presented in Table 4.16. The coefficient of
correlation between the concerned variables was found to be 0.046. The following
observations were made on the basis of the value of correlation coefficient between the
two concerned variables of the study under consideration:
a. The relationship showed a positive trend between the concerned variables.
b. The observed value of ‘r’ (0.046) between the concerned variables was found to be
smaller than the tabulated value (r = 0.225) with 84 degrees of freedom at 0.05
level of probability.
c. The null hypothesis could not be rejected.
d. The relationship between the concerned variables was not statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that number of jackfruit trees of the famers
had no significant relationships with the prospects of jackfruit commercialization. That
means prospects of jackfruit commercialization transpire for all ‘tree number’ category
farmers. This represent that jackfruit tree number of the respondent farmers was not an
important factor for prospects of jackfruit commercialization.
65
4.3.1.5 Relationship between annual family income from jackfruit of the farmers and
prospects of jackfruit commercialization
The relationship between annual income from jackfruit of the farmers and prospects of
jackfruit commercialization was determined by Pearson product moment correlation
coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between annual income from jackfruit of the farmers and
prospects of jackfruit commercialization”.
The coefficient of correlation between annual income from jackfruit of the jackfruit
farmers and prospects of jackfruit commercialization is presented in Table 4.16. The
coefficient of correlation between the concerned variables was found to be 0.464. The
following observations were made on the basis of the value of correlation coefficient
between the two concerned variables of the study under consideration:
e. The relationship showed a positive trend between the concerned variables.
f. The observed value of ‘r’ (0.464) between the concerned variables was found to be
greater than the tabulated value (r = 0.290) with 84 degrees of freedom at 0.01 level
of probability.
g. The null hypothesis could be rejected.
h. The relationship between the concerned variables was statistically significant at
0.01 level of probability.
Based on the above findings, it was concluded that annual family income from jackfruit of
the famers had a significant positive relationship with the prospects of jackfruit
commercialization. This represent that annual family income from jackfruit of the farmers
was an important factor for prospects of jackfruit commercialization but with the increase
of prospects of jackfruit commercialization, annual income from jackfruit of the farmers
increased.
66
4.3.1.6 Relationship between experience in jackfruit cultivation of the farmers and
prospects of jackfruit commercialization
The relationship between experience in jackfruit cultivation of the farmers and prospects
of jackfruit commercialization was determined by Pearson product moment correlation
coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between experience in jackfruit cultivation of the farmers and
prospects of jackfruit commercialization”.
The coefficient of correlation between experience in jackfruit cultivation of the farmers
and prospects of jackfruit commercialization is presented in Table 4.16. The coefficient of
correlation between the concerned variables was found to be -0.237. The following
observations were made on the basis of the value of correlation coefficient between the
two concerned variables of the study under consideration:
e. The relationship showed a positive trend between the concerned variables.
f. The observed value of ‘r’ (0.237) between the concerned variables was found to be
greater than the tabulated value (r = 0.225) with 84 degrees of freedom at 0.05 level
of probability.
g. The null hypothesis could be rejected.
h. The relationship between the concerned variables was statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that experience in jackfruit cultivation of
the famers had a significant positive relationship with the prospects of jackfruit
commercialization as perceived by them. This represent that experience in jackfruit
cultivation was an important factor for prospects of jackfruit commercialization. With the
increase of experience in jackfruit cultivation, a prospect of jackfruit commercialization is
increased. It is very much logical that individuals having higher experience in jackfruit
cultivation can increase its prospects.
67
4.3.1.7 Relationship between knowledge on jackfruit cultivation of the farmers and
prospects of jackfruit commercialization
The relationship between knowledge on Jackfruit cultivation of the farmers and prospects
of jackfruit commercialization was determined by Pearson product moment correlation
coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between knowledge on jackfruit cultivation of the farmers and
prospects of jackfruit commercialization”.
The coefficient of correlation between knowledge on Jackfruit cultivation of the farmers
and prospects of jackfruit commercialization is presented in Table 4.16. The coefficient of
correlation between the concerned variables was found to be -0.248. The following
observations were made on the basis of the value of correlation coefficient between the
two concerned variables of the study under consideration:
a. The relationship showed a positive trend between the concerned variables.
b. The observed value of ‘r’ (0.248) between the concerned variables was found to be
greater than the tabulated value (r = 0.225) with 84 degrees of freedom at 0.05 level
of probability.
c. The null hypothesis could be rejected.
d. The relationship between the concerned variables was statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that knowledge on jackfruit cultivation of
the famers had a significant positive relationship with the prospects of jackfruit
commercialization. This represent that knowledge on jackfruit cultivation of the farmers
was an important factor for prospects of jackfruit commercialization and with the increase
of knowledge on jackfruit cultivation, prospects of jackfruit commercialization of the
farmers increased. It is quite logical that knowledgeable person can increase their
prospects by removing problesms.
68
4.3.1.8 Relationship between diversified use of jackfruit and prospects of jackfruit
commercialization
The relationship between diversified use of jackfruit and prospects of jackfruit
commercialization was determined by Pearson product moment correlation coefficient and
examined by testing the concerned null hypothesis:
“There is no relationship between diversified use of jackfruit and prospects of jackfruit
commercialization”.
The coefficient of correlation between diversified use of jackfruit and prospects of
jackfruit commercialization is presented in Table 4.16. The coefficient of correlation
between the concerned variables was found to be 0.523. The following observations were
made on the basis of the value of correlation coefficient between the two concerned
variables of the study under consideration:
a. The relationship showed a positive trend between the concerned variables.
b. The observed value of ‘r’ (0.523) between the concerned variables was found to be
greater than the tabulated value (r = 0.290) with 84 degrees of freedom at 0.01 level
of probability.
c. The null hypothesis could be rejected.
d. The relationship between the concerned variables was statistically significant at
0.015 level of probability.
Based on the above findings, it was concluded that diversified use of jackfruit of the
famers had a significant positive relationship with the prospects of jackfruit
commercialization. This represent that diversified use of jackfruit of the farmers was an
important factor for prospects of jackfruit commercialization and it was also said that with
the increase of diversified use of jackfruit, prospects of jackfruit commercialization of the
farmers increased. It is quite logical that proper use of a product can reduce the related
problems.
69
4.3.1.9 Relationship between nutritional importance of jackfruit of the farmers and
prospects of jackfruit commercialization
The relationship between nutritional importance of jackfruit of the farmers and prospects
of jackfruit commercialization by them was determined by Pearson product moment
correlation coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between nutritional importance of jackfruit of the farmers and
prospects of jackfruit commercialization”.
The coefficient of correlation between nutritional importance of jackfruit of the farmers
and prospects of jackfruit commercialization commercialization is presented in Table
4.16. The coefficient of correlation between the concerned variables was found to be
(0.0.248. The following observations were made on the basis of the value of correlation
coefficient between the two concerned variables of the study under consideration:
a. The relationship showed a positive trend between the concerned variables.
b. The observed value of ‘r’ (0.248) between the concerned variables was found to be
larger than the tabulated value (r = 0.225) with 84 degrees of freedom at 0.05 level
of probability.
c. The null hypothesis could be rejected.
d. The relationship between the concerned variables was statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that nutritional importance of jackfruit of
the famers had significant positive relationships with the prospects of jackfruit
commercialization. This represent that nutritional importance of jackfruit of the
respondent farmers was an important factor for prospects of jackfruit commercialization.
70
4.3.1.10 Relationship between selling demand of jackfruit at different marketing
system and prospects of jackfruit commercialization
The relationship between selling demand of jackfruit at different marketing system and
prospects of jackfruit commercialization was determined by Pearson product moment
correlation coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between selling demand of jackfruit at different marketing
system and prospects of jackfruit commercialization”.
The coefficient of correlation between selling demand of jackfruit at different marketing
system and prospects of jackfruit commercialization is presented in Table 4.16. The
coefficient of correlation between the concerned variables was found to be 0.233. The
following observations were made on the basis of the value of correlation coefficient
between the two concerned variables of the study under consideration:
a. The relationship showed a positive trend between the concerned variables.
b. The observed value of ‘r’ (0.233) between the concerned variables was found to be
greater than the tabulated value (r = 0.0.225) with 84 degrees of freedom at 0.05
level of probability.
c. The null hypothesis could be rejected.
d. The relationship between the concerned variables was statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that selling demand of jackfruit at different
marketing system had a significant positive relationship with the prospects of jackfruit
commercialization. This represent that selling demand of jackfruit at different marketing
system of the farmers was an important factor for jackfruit commercialization, with the
increase of selling demand of jackfruit at different marketing system prospects of jackfruit
commercialization of the farmers increased. It is quite logical that developed marketing
system enhances commercialization of any product and reduce problems.
71
4.3.1.11 Relationship between selling price of jackfruit at different marketing system
and prospects of jackfruit commercialization
The relationship between selling price of jackfruit at different marketing system and
prospects of jackfruit commercialization was determined by Pearson product moment
correlation coefficient and examined by testing the concerned null hypothesis:
“There is no relationship between selling price of jackfruit at different marketing system
and prospects of jackfruit commercialization”.
The coefficient of correlation between selling price of jackfruit at different marketing
system and prospects of jackfruit commercialization is presented in Table 4.16. The
coefficient of correlation between the concerned variables was found to be 0.245. The
following observations were made on the basis of the value of correlation coefficient
between the two concerned variables of the study under consideration:
a. The relationship showed a positive trend between the concerned variables.
b. The observed value of ‘r’ (0.466) between the concerned variables was found to
be greater than the tabulated value (r = 0.290) with 84 degrees of freedom at
0.05 level of probability.
c. The null hypothesis could be rejected.
d. The relationship between the concerned variables was statistically significant at
0.05 level of probability.
Based on the above findings, it was concluded that selling price of jackfruit at different
marketing system had a significant positive relationship with the prospects of jackfruit
commercialization. This represent that selling price of jackfruit at different marketing
system of the farmers was an important factor for jackfruit commercialization. With the
increase of selling price of jackfruit at different marketing system, prospects of jackfruit
commercialization of the farmers increased. It is quite logical that developed marketing
system enhances commercialization of any product and reduce problems.
72
4.3.3 Correlation between problem and prospect of jackfruit commercialization
In order to, find out the relation between problem and prospect of jackfruit
commercialization, correlation analysis was used which is shown in the table 4.17.
Table 4.17. Correlation matrix between problem and prospect of jackfruit
commercialization
X1 X2
X1 1
X2 .969***
1
*** Significant at p<0.01
X1 = Problem of jackfruit commercialization;
X2 = Prospect of jackfruit commercialization;
Form the correlation analysis it was found that there was a significant correlation between
problem and prospect of jackfruit commercialization at 85 df.
73
Chapter 5
SUMMARY, CONCLUSION AND RECOMMENDATIONS
5.1 Summary
Jackfruit is an important and widely distributed and cultivated fruit crop in Bangladesh. It
is produced in large quantity but the income from jackfruit is minimal due to different
problems faced by the farmers.
According to the growers’ opinion, these problems were mostly due to irregular fruiting
and fall of immature fruit and also in want of proper commercialization and also severe
losses was occurred with these problems.
The respondents reported that a portion of these losses was also due to improper
techniques or lack of care during manual harvesting and also proper marketing facilities
(Mollaet al., 2011). So it is necessary to take initiative to reduce problems of jackfruit pre
and postharvest operations and ensure food as well as nutritional sufficiency of the people
of Bangladesh.
The purpose of this study is to have an understanding about the problem and prospects of
jackfruit commercialization as perceived by the farmers of Bhaluka Upazila under
Mymensingh district. The study also aims to explore the relationship of the selected
characteristics of the farmers. It is expected that this study will be helpful for the farmers
who will comprehend the importance of problem and prospects of jackfruit
commercialization and take necessary steps to reduce problems and to increase prospects
of commercialization.
74
5.1.1
Findings in respect of the 11 selected characteristics of the farmers are summarized below:
Age
Majority proportion (59.3 percent) of the jackfruit growers were middle aged compared to
22.1 percent old and 18.6 percent being young aged.
Education
It is determined that 9.3 percent comprised primary education, 37.2 percent comprised of
secondary education, 33.7 percent of the respondents were can’t read or sign, 15.1 percent
comprised of can sign only and 4.7 percent had above secondary education.
Jackfruit land size
More than two-third (80.2 %) of the total respondent had small farm where, no
respondents were landless, 18.6 percent farmers had medium jackfruit land, 1.2 percent
respondents are marginal and no respondents had large jackfruit land.
Number of jackfruit
Farmers under low number of jackfruit trees category constitute the lowest proportion
(11.6 %) compared to 68.6 percent under highest number category and 19.8 percent under
small number category. Thus, overwhelming majority (88.4%) of the farmers had medium
to large number of jackfruit trees.
Annual family income from jackfruit
Above half (68.6 %) of the respondents had medium annual income from jackfruit while
11.6 percent and 19.8 percent of them had low and high annual income from jackfruit
respectively.
75
Experience in jackfruit cultivation: Farmers under medium experience category
constitute the highest proportion (70.9%) compared to about same (15.1 %) low
experience category and only 14.0 percent high experience category.
Knowledge on Jackfruit Cultivation
above fifty percent (53.5%) of the respondents felt in medium knowledge category
followed by 23.3 percent in low knowledge category and only 23.2 percent in high
knowledge category. The findings of the present study again reveal that maximum
(76.8%) jackfruit growers in the study area had poor to moderate knowledge on jackfruit
cultivation.
Diversified use of jackfruit
Under diversification of jackfruit use category constitute the highest proportion (67.4%)
under medium category compared to 19.8 under high category and only 12.8 percent
under low category.
Nutritional importance of jackfruit
Most of the respondents (75.6%) were aware of nutritional importance of jackfruit with
medium level of importance regarding nutritional value where 24.4% had high nutritional
knowledge of jackfruit.
Selling demand of jackfruit at different marketing system
Selling demand is greater in national market than local market. 72.09 percent respondent
opined that selling demand is low in local market where 68.60 percent respondents
showed that selling demand is medium in national market.
76
Selling price of jackfruit at different marketing system:
Maximum (65.00 percent) respondent opined that selling price is low in local market
where 60.46 percent respondents showed that selling price is medium in national market
and 25.58 percent respondents were in favor of high selling price in national market.
Problem faced by the farmers’ for commercialization
More than half (67.4%) of the respondents faced medium problem in jackfruit
commercialization activities, while 18.6 percent faced high problems and only 14 percent
faced low problems.
Prospects of jackfruit commercialization
Majority (79.1%) of the respondents perceived medium level prospects of jackfruit
commercialization, while 12.8 percent found high level Prospects of jackfruit
commercialization and only 8.1 percent respondents confirmed low level of Prospects for
jackfruit commercialization.
5.1.2 The relationships between selected characteristics of the jackfruit farmers and
problems and prospects of jackfruit commercialization
Age, Education, Jackfruit land size, Jackfruit tree number and nutritional importance of
jackfruit had no relationship (positive and non-significant) with problems of jackfruit
commercialization as distinguished by farmers where annual family income from
jackfruit, experience in jackfruit cultivation, knowledge on jackfruit cultivation,
diversified use of jackfruit, selling demand of jackfruit at different marketing system and
selling price of jackfruit at different marketing system had negative significant
relationship with Problems of jackfruit commercialization as distinguished by farmers.
Again, age, education, jackfruit land size and jackfruit tree number had no relationship
(positive and non-significant) with prospects of jackfruit commercialization as perceived
by the jackfruit farmers where annual family income from jackfruit, experience in
77
jackfruit cultivation, knowledge on jackfruit cultivation, diversified use of jackfruit,
nutritional importance of jackfruit, selling demand of jackfruit at different marketing
system and selling price of jackfruit at different marketing system had significant positive
relationship with prospects of jackfruit commercialization as perceived by the jackfruit
farmers.
5.1.3. Correlation between problem and prospect of jackfruit commercialization
Form the correlation analysis it was found that there was a significant correlation between
problem and prospect of jackfruit commercialization.
5.2 Conclusions
Findings of the present study and the logical interpretation of other relevant facts
prompted the researcher to draw the following conclusions:
1. More than half (52.50%) of the respondents faced high problem in jackfruit
commercialization activities. It is due to lack of technical knowledge and
commercialization facility. Therefore, it may be concluded that there is necessity to
reduce the problems of jackfruit cultivation and commercialization.
2. Majority (45%) of the respondents perceived medium level prospect of jackfruit
commercialization, while 32.50 percent found high level Prospects of jackfruit
commercialization i.e. 77.50% farmers watch a good prospect of jackfruit
commercialization. So, it is necessary to increase the scope of jackfruit
commercialization process.
3. Annual family income from jackfruit of the famers had a significant negative
relationship with the problems faced by the farmers for jackfruit
commercialization. It can be concluded that with the increase of problems of
jackfruit commercialization, annual income from jackfruit of the farmers decreased
and vice-versa.
78
4. Experience in jackfruit cultivation of the famers had a significant negative
relationship with the problems of jackfruit commercialization as perceived by them.
So, it can be concluded that with the increase of experience in jackfruit cultivation,
problems of jackfruit commercialization decreased.
5. Knowledge on jackfruit cultivation of the famers had a significant negative
relationship with the problems faced by the farmers for jackfruit
commercialization. So, it can be concluded that but with the increase of knowledge
on jackfruit cultivation, problems of jackfruit commercialization of the farmers
decreased.
6. Diversified use of jackfruit of the famers had a significant negative relationship
with the problems faced by the farmers for jackfruit commercialization. So, it can
be concluded that with the increase of diversified use of jackfruit, problems of
jackfruit commercialization of the farmers decreased.
7. Selling demand of jackfruit at different marketing system had a significant negative
relationship with the problems faced by the farmers for jackfruit
commercialization. So, it can be concluded that with the increase of selling demand
of jackfruit at different marketing system problems of jackfruit commercialization
of the farmers decreased.
8. Selling price of jackfruit at different marketing system had a significant negative
relationship with the problems faced by the farmers for jackfruit
commercialization. So, it can be concluded that with the increase of selling price of
jackfruit at different marketing system problems of jackfruit commercialization of
the farmers decreased.
9. Annual family income from jackfruit of the famers had a significant positive
relationship with the prospects of jackfruit commercialization. So, it can be
concluded that with the increase of prospects of jackfruit commercialization, annual
income from jackfruit of the farmers increased.
79
10. Experience in jackfruit cultivation of the famers had a significant positive
relationship with the prospects of jackfruit commercialization as perceived by
them. So, it can be concluded that with the increase of experience in jackfruit
cultivation, prospect of jackfruit commercialization is increased.
11. Knowledge on jackfruit cultivation of the famers had a significant positive
relationship with the prospects of jackfruit commercialization. So, it can be
concluded that with the increase of knowledge on jackfruit cultivation, prospects of
jackfruit commercialization of the farmers increased.
12. Diversified use of jackfruit of the famers had a significant positive relationship
with the prospects of jackfruit commercialization. It was also said that with the
increase of diversified use of jackfruit, prospects of jackfruit commercialization of
the farmers increased.
13. Based on the above findings, it was concluded that nutritional importance of
jackfruit of the famers had significant positive relationships with the prospects of
jackfruit commercialization. So, nutritional importance of jackfruit of the
respondent farmers was an important factor for prospects of jackfruit
commercialization.
14. Selling demand of jackfruit at different marketing system had significant positive
relationship with the prospects of jackfruit commercialization. So, it can be
concluded that with the increase of selling demand of jackfruit at different
marketing system prospects of jackfruit commercialization of the farmers
increased.
15. Selling price of jackfruit at different marketing system had a significant positive
relationship with the prospects of jackfruit commercialization. So, it can be
concluded that with the increase of selling price of jackfruit at different marketing
system, prospects of jackfruit commercialization of the farmers increased.
80
5.3 Recommendations
5.3.1 Recommendations for policy implications
On the basis of experience, observation and conclusions drawn from the findings of the
study following recommendations are made:
1. Hence, more than half (67.50%) of the respondents had medium annual income
from jackfruit while 10 percent of them had high annual income from jackfruit
respectively. Therefore, it may be recommended that proper extension providers
like Department of Agricultural Extension (DAE) should take necessary action to
encourage more income generation through providing new technologies to the
farmers.
2. Overwhelming majority (85%) of the farmers had low to medium experience in
jackfruit cultivation. It is logical that experienced farmers could minimize their
problems in jackfruit production. Therefore, it may be recommended that proper
extension providers like Department of Agricultural Extension (DAE) and NGOs
should take necessary action to increase their experience providing necessary
training and motivational campaign.
3. Maximum (90%) jackfruit growers in the study area had poor to medium
knowledge on jackfruit cultivation. Knowledge is to be considered as vision of an
explanation in any aspect of the situation regarding jackfruit cultivation. Therefore,
it may be recommended that proper activities should be taken by Department of
Agricultural Extension (DAE) and different NGOs to increase their knowledge of
jackfruit farmers by providing necessary training and motivational campaign.
4. Selling of any products after consumption is urgently needed for commercialization
and to promote huge production of products. Therefore, it may be recommended
that taking proper activities for the development of marketing infrastructure should
be done so that easy commercialization should be proceeded and satisfactory
income return is possible.
81
5.3.2 Recommendations for further study
A small and limited research work cannot provide unique and universal information
related to actual impact of improving socio-economic status of the farmers. Further studies
should be undertaken on related matters. On the basis of scope and limitations of the
present study and observation made by the researcher, the following recommendations are
made for further study:
i. The present study was carried out in only one upazillas of Bangladesh. Similar
studies should be conducted in other parts of the country to get a clear picture of
the whole country which will be helpful for effective policy formulation.
ii. The present study was undertaken to explore contribution of eleven selected
characteristics of the farmers with their extent of problems and prospects of
jackfruit commercialization as perceived by them. Therefore, it could be
recommended that further studies should be designed considering other
agricultural and non-agricultural activities and including other characteristics of
the farmers that might affect the concerned term.
iii. The present research was conducted on problems and prospects of jackfruit
commercialization only. Similar research should also be undertaken on other
crops.
82
REFERENCES
Acedo, A. L. 1992. Jackfruit Biology, Production, Use and Philippines Research.
Forestry/Fuel Wood Research and Development Project (F/FRED). Arlington, VA.,
USA.
Ahmmed, M. F. 2010. Postharvest Loss Assessment and Nutritional Quality of
Jackfruit.M.S. (Hort.) Thesis, Dept. of Horticulture, Bangladesh Agricultural
University, Mymensingh, Bangladesh.
Akhter, M. S. 2000. Participation of Women Clientele in Development Activities of
RDRS Project.M.S. (Ag. Ext. Ed) Thesis, Dept. of Agricultural Extension
Education, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Amiruzzaman, N. 1990. Post harvest handling and processing of fruits and vegetables. In:
Kitchen Gardening and Homestead Productive Activities. CIRDAP Action
Research Series No. 11. p22.
APAARI (Asia-Pacific Association of Agricultural Research Institutions). 2012. Jackfruit
Improvement in the Asia-Pacific Region– A Status Report.Asia-Pacific Association
of Agricultural ResearchInstitutions, Bangkok, Thailand.182 p.
Azad, M. I. 2000. Reduction of post-harvest losses and extension of shelf life of mango.
Ph.D. Dissertation, Department of Horticulture, Bangladesh Agricultural
University, Mymensingh.
Aziz, A. 2004. Participation in Homestead Agriculture by the Tribal Women in Dinajpur
District. M.S. (Ag. Ext. Ed) Thesis, Dept. of Agricultural Extension Education,
Bangladesh Agricultural University, Mymensingh, Bangladesh.
BBS (Bangladesh Bureau of Statistics). 2010. Yearbook of Agricultural Statistics.
Ministry of Planning, Government of Peoples Republic of Bangladesh. 123.
83
BBS. 2010. Yearbook of Agricultural Statistics. Ministry of Planning, Government of
Peoples Republic of Bangladesh. p. 123.
Carlos, J. R. 1992. Bangladesh off season production of horticulture. Proc. of the Six
National Horticulture Convention and Symposium. Bangladesh Society of
Horticulture Science, Dept. of Horticulture, Bangladesh Agricultural University,
Mymensingh.
Chaudhry, M.A. 1998. Aggregate Post-Harvest Food Grain Losses in Pakistan.Vol.
VI.Dept. of Agril. Marketing, U.S., Faisalabad.
Corner, R. E. 1938.Notes on the systematy and distribution of Malayan Phanerogamas.II.
The jack and the chempedak, Gard. Bull. 10. 56-81.
Coronel, R. E. 1983. Promising Fruits of the Philippines, Laguna, College of Agriculture,
UPLB, Philippines, pp. 251-274.
Dewan, B. 2015. Scenario of major fruits production and marketing system in Chittagong
hill tracts. International Journal of Economics, Commerce and Management,
United Kingdom. Vol. III, Issue 5, May 2015.
Ezekiel, M. and K. A. Fox. 1959. Method of Correlation and Regression Analysis. 3rd
Edition. John Wiley and Sons, Inc., New York.
FAO. 1989. Prevention of Post-harvest Food Losses in Fruits, Vegetables and Root Crops,
A Training Manual, Vol. II. FAO Training Series NO. 17/2. Food and Agriculture
Organization of the United Nations, Rome, Italy.
Gathambiri, C.W., Muchui, M. N., Njuguna, J. K., Wepukhulu, S. B., Kiiru, S. N.,
Wanjala, S. N. and Kariuki, D. N. 2006 . Evaluation of Postharvest Characteristic
of Mango Fruit: 10th KARI Biennial ScientificProceedings.
Goode, WJ. and Hatt, P. K. 1952. Methods of Social Research.New York: McGraw-Hill
Book Company, Inc.
84
Haque, N. 2006. Jackfruit: (Artocarpus heterophyllus). 1st Edition. RPM Print and Design,
West Sussex, UK. p. 107.
Haque, M. A. 2010. Jackfruit: Production Technology and Research in Bangladesh. 291,
Dhaka Road, Maskanda, Mymensingh, Bangladesh. 143 p.
Hassan, P. D. M. K., Chowdhury, B. L. D. and Akhter, N. 2011. Post-Harvest Loss
Assessment: A Study to Formulate Policy for Loss Reduction of Fruits and
Vegetables and Socioeconomic Uplift of the Stakeholders, Bangladesh Agricultural
University, Mymensingh, Bangladesh.
Hossain, A. K. M. A. 1989. Manual on mango cultivation in Bangladesh. Horticulture
Research Centre, Bangladesh Agricultural Research Institute, Joydebpur, p64.
Hussain, M. A. 1993. Nutrition and socio-economic dimensions of post-harvest processing
and preservation of agricultural products. A paper Presented in the National
Workshop on post-harvest Processing and Preservation of Agricultural Products -
its present status and future strategy in Bangladesh held at BARC May 25-26,
1993.
IDAF. 2009. Value Chain Analysis of Selected Commodities Institutional Development
Across the Agri-food Sector. Final Report -9 ACP MAI 19.
INSPIRED (EU Funded Project). 2013. Technical Report on Agro Processing Sector of
Jackfruit Including Business Feasibility Studies And Proposed Action Plans,
Bangladesh INSPIRED. Action Plans for the Technical Study, January 2013. The
European Union’s INSPIRED Program for Bangladesh.
Islam, M.Z. 2003. Participation of Rural Women in Goat Rearing in Selected Area under
Manikgonj District. MS. (Ag. Ext. Ed.) Thesis, Dept. of Agricultural Extension
Education, Bangladesh Agricultural University, Mymensingh, Bangladesh.
85
Kader, A. A. 1992. Post-Harvest Biology and Technology: An Overview. In A. A. Kader
(ed.), Post-Harvest Technology of Horticultural Crops. Second Edition. Div. Agri.
Nat. Res. Publ. 3311. Univ. Calif. Berkeley. CA, pp. 15-20.
Khader, A. A. 1992. Post-harvest Technology of Horticultural crops. 2nd ed. Univ. of
California. Div. ofAgriculture and Natural Resources. Publication No.3311.
Khandaker, S.R., Bakht, Z. and Koolwal. G. B. 2009. Commercial application of CIPC
sprout inhibitor to storage potatoes. Cooperative Extension System, Agricultural
Experiment Station, The University of Idaho, USA.
Kothari, C.R. 1994. Research Methodology: Methods and Techniques, 2nd
ed. New Delhi,
India.
Labon, C.S. and Schefter, M. 1990. Succesful Lab. Reports: A Manual for Science
Students. Cambridge. Cambridge University Press. P. 23.
Laorden, J. A., Saleem, A. S. and Roy, K. K. 2011. Net Margin Analysis of Selected
Fruits and Vegetables in Southern Mindanao, Philippines. An Article Presented in
7th
Asian Society of Agricultural Economists International Conference, Hanoi,
Vietnam.
Majumder, J. S. 2011. Jackfruit farmers in Khagrachhari count losses. A Report, The
Daily Sun, Dhaka.
Malik, D. A. U. and Mazhar, M. S. 2007. Evaluation of Postharvest Losses in Mango.
Australian Center for International Agricultural Research (ACIAR), Pakistan.
Medagoda, I. 2001. Jackfruit in Srilanka. Studium Press LLC, Houseton, USA, pp. 369-
392.
Mitra, P. D. S. K. 2010. Marketing of Fruits in India - Present Practice and Future needs.
A Power point Presentation. Faculty of Horticulture,Bidhan Chandra
KrishiViswavidyalaya, Mohanpur-741252, Nadia, West Bengal, India.
86
Mojica, M. J. 2010. Mango Industry Vows to Curb Postharvest Losses, A News published
in Bar Online, Department of Agriculture, Bureau of Agricultural Research,
Republic of Philippines.
Molla, M. S., Rahman, A. and Khondoker, J. A. 2010. Survey on Post-Harvest Practices
and Loses of Litchi in Selected Areas of Bangladesh. Bangladesh J. Agril. Res.
35(3) : 439-451.
Molla, M. S., Rahman, A. and Khondoker, J. A. 2011. Assessment of postharvest losses of
jackfruit in selected areas of Bangladesh. Postharvest Management of Horticultural
Crops, Annual report, HRC, BARI, Gazipur-1701.
Molla, M. (2011).Assessment of postharvest losses of jackfruit in selected areas of
Bangladesh.Postharvest Management of Horticultural Crops, Annual report, HRC,
BARI, Gazipur-1701.
Morton, J. F. 1965. The Jackfruit, its culture, varieties and utilization. Proc. Fla. St. Hort.
Sci., 79:336-344.
Morton, J. F. 1987. Fruits of Warm Climates. Morton, J. F. Publisher, Miami, FL
NAC. 1978. Harvest Food Losses in Developing Countries. National Academy of
Sciences. Washington, D.C., 1978.
Nahar, K. 2000. Participation of Rural Women in Homestead Agriculture in a Selected
Area of Gazipur District. MS. (Ag. Ext. Ed.) Thesis, Dept. of Agricultural
Extension Education, Bangladesh Agricultural University, Mymensing,
Bangladesh.
Oyeniran, J.O. 1988. Reports of Activities of nationally coordinated research project on
fruits and vegetables in Nigeria. Proc. Nat. Workshop Impr. Packag. and Stor. Syst.
for Fruits and Vegetables in Nigeria, Ilorin, Nigeria, 30 March, pp. 18-39.
87
Pantastico, E.R.B. 1977. Postharvest physiology, a practical science. Paper delivered at
the professorial Chair inaugural Lecture at UPBL, College, Laguna, May 21, 1977,
p5.
Patil, D. R. T. 2008. Post-Harvest Management and Value Addition of Jackfruit, APower
Point Presentation. Central Institute of Agricultural Engineering, Bhopal.
Puerseglove, J. W. 1968. Tropical Crops. Dicotyledons 2. Longman and Green Co. Ltd.,
London and Harlog. pp. 384-386.
Rashid, S. M. M. 2014. Empowering Farmers through e-Agriculture. M.Sc. (Ag. Ext.&
Info. Sys.) Thesis, Department of Agricultural Extension and Information
System, Sher-e-Bangla Agricultural University, Dhaka.
Soepadme, E. 1991. Jackfruit (Artocarpusheterophyllus Lam.) In: E, W. M., Verheji and
Coronel, R. E. 9eds.) Plant Resources in South East asia, No. 21. Edible fruits and
nuts Netherlands Wageningen. pp. 86-941.
World Bank. 2005. Bangladesh growth and export competitiveness. Report 31394-BD.,
WashingtonD.C.
Yamane, T. 1967. Statistics: An Introductory Analysis, 2nd Ed., New York: Harper and
Row.
Yuen, J. and Teng, Paul, S. 1990. Post-harvestAssessmentof Disease-Lossesin Fruits. Acta
Hort. (ISHS) 269:519-520.
88
Appendix-A
English Version of the Interview Schedule Department of Agricultural Extension and Information System
Sher-e-Bangla Agricultural University, Dhaka-1207.
Interview schedule on
“Problem and prospects of jackfruit commercialization as experienced by farmers at
BhalukaUpazila under Mymensingh district”
Serial No. : ……………………………………….
Name of the respondent : ………………………………………..
Address : ………………………………………..
: ………………………………………..
Please answer the following questions. Information given by you will be kept secret and only
be used for research work.
1. Age
What is your age? -------------------------- Years.
2. Education:
State your level of education? Give (√) to appropriate place/ fill in the blanks.
What is your level of education? ( )
a) I don’t know how to read and write ( )
b) I don’t know how to read and write but can sign only ( )
c) I studied up to class or I passed ____________ examination ( )
3. Jackfruit Land Size
Please mention your jackfruit land size...............................................centi-/acre/hectare
4. Number of Jackfruit Trees
How many jackfruit trees are there on your land? …………………………………….
89
5. Annual Income from Jackfruit
Please mention your annual income from jackfruit per year. ………………………….Tk.
6. Experience in Jackfruit Cultivation
For how many years have you been cultivating jackfruit? …………………………years
7. Knowledge on Jackfruit Cultivation
Please answer the following questions regarding jackfruit.
Sl.No. Questions Assigned
Score ObtainedScore
1. Name two varieties of jackfruit. 2
2. When and how much fertilizer do you apply to a
jackfruit tree? 2
3. How do you irrigate the jackfruit field? 2
4. How do you spray insecticides on jackfruit trees? 2
5. How do you give training and pruning to the trees? 2
6. Mention two ways of controlling insects. 2
7. Mention two diseases of jackfruit. 2
8. Mention the ways of controlling diseases. 2
9. What will you do if the inflorescence is about to rot? 2
10. Mention the symptoms of a mature jackfruit. 2
11. When is it good to harvest jackfruit? 2
12. How is the jackfruit harvested? 2
13. How is the jackfruit graded and sorted? 2
14. Why is the jackfruit produced in large quantity in your
locality? 2
Total = 28
8. Farmers response on diversified use of jackfruit considered as commercial purpose
Put (√) marks
Sl.
No
Purpose of use Farmers responses
High (3) Medium (2) Low (1)
1. Use as vegetable (green)
2. Use as fruits
3. Use of seed as supplementary food
4. Use as fodder
5. Use of wood as furniture
6. Use as medicinal plant
90
9. Nutritional importance for commercialization [Put (√) marks]
Sl.
No Awareness of farmers
Farmers responses
Strongly
agreed
(4)
Agreed
(3)
No
opinion
(2)
Disagree
d (1)
Strongly
disagreed
(1)
1.
It is rich in different vitamins and
minerals. So that it can be treated as
commercial fruit
2.
It can be used as alternative food
(rice or wheat etc.). So that it can be
treated as commercial fruit
3.
Diversification was found more
than others fruit. So that it can be
treated as commercial fruit
10. Demand variation in different marketing system [Put (√) marks]
Sl. No. Category
Local market National market
High Medium Low High Medium Low
3 2 1 3 2 1
1. Demand
11. Price variation on different marketing system [Put (√) marks]
Sl. No. Category
Local market National market
High Medium Low High Medium Low
3 2 1 3 2 1
1. Price
91
12. Problem faced by the Jackfruit farmers for commercialization
Please mention the extent of problems related to jackfruit cultivation and marketing.
Sl.
No. Problems
Nature of Problem faced
Strongly
agreed Agreed
No
opinion Disagreed
Strongly
Disagreed
4 3 2 1 0
1. Trees don’t give jackfruit regularly
2. Rotten inflorescence due to insect
attack
3. Disease dissemination in inflorescence
4. Deformed fruits
5. Fall of immature fruit
6. Insect controlling problem
7. Disease controlling problem
8. High prices of inputs
9. Quick rot after harvesting
10. Unavailability of transporting post
harvest marketing
11. Lower market price
12. Damaged caused during marketing
Total
13. Farmer’s opinions on prospects of jackfruit commercialization [Put (√) marks]
Sl.
No Farmers opinion on
Strongly
agreed
(4)
Agreed
(3)
No
opinion
(2)
Disagreed
(1)
Strongly
Disagreed
(0)
1. Possible to increase jackfruit
cultivation area
2. Possible to increase jackfruit
production even in existing
situation
3. Government facilities can be
provided for commercial
purpose
4.
Enough supply of jackfruit is
possible if marketing system
and exporting policy are
developed here
5. Enough supply of jackfruit is
possible if industrial demand
is high
Thanking you for your kind cooperation.
……………………………
Signature of the interviewer Date:……………………
.
92
Appendix-B
Correlation Matrix
Characters X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 Y
X1 1
X2 0.036 1
X3 0.044 0.062 1
X4 0.042 0.036 0.027 1
X5 0.023 0.064 0.585** 0.496** 1
X6 0.243* 0.126 0.074* 0.254* 0.262* 1
X7 0.224* 0.383** 0.047 0.028 0.060 0.273* 1
X8 0.472** 0.258* 0.219* 0.273* 0.062 0.279* 0.265** 1
X9 0.104 0.272* 0.243* 0.068 0.074 0.036 0.044 0.064 1
X10 0.048 0.083 0.026 0.029 0.063 0.071 0.079 0.088 0.159 1
X11 0.047 0.126 0.109 0.072 0.098 0.039 0.068 0.027 0.028 0.544** 1
Y1 0.086NS
0.102NS
0.168NS
0.097NS
-0.254* -0.235* -0.267* -0.241* 0.139NS
-0.358** -0.466** 1
Y2 0.163NS
0.142NS
0.097NS
0.046NS
0.464** 0.237* 0.248* 0.523** 0.248* 0.233* 0.245* 1
X1 = Age X5 = Annual family income from jackfruit X9 = Nutritional importance of jackfruit
X2 = Education X6 = Experience in jackfruit cultivation X10 = Selling demand of jackfruit at different marketing system
X3 = Jackfruit land size X7 = Knowledge on jackfruit cultivation X11 = Selling price of jackfruit at different marketing system
X4 = Jackfruit tree number X8 = Diversified use of jackfruit
Y1 = Problems and prospects of jackfruit commercialization as distinguished by farmers
Y2 = Prospects of jackfruit commercialization as perceived by the jackfruit farmers