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Impact of Climate Change on Rice ProductionProject work & seminar
Level-4 Semester-I
B.Sc. in Agriculture & Bio-resources Engineering
Faculty of AFE
Hajee Mohammad Danesh Science & Technology
University, Dinajpur
Environmental Impact on Rice Yield Pattern
Thesis on
“Presentation on our project work”
Greetings,This is a
Shared for your kind consideration
Presented to,Honorable,
Dr. Md. Mosharraf HossainProfessor
Dept. Farm Power MachineryBangladesh Agricultural University, Mymenshingh
Dr. Md. Shiddiqur RahmanProfessor
Dept. of Agricultural & Industrial EngineeringDean
Faculty of Agro-Industrial & Food Process EngineeringHajee Mohammad Danesh Science & Technology University, Dinajpur
Dr. Md. Kamal Uddin Sarkar Professor
Dept. of Agricultural & Industrial EngineeringHajee Mohammad Danesh Science & Technology University, Dinajpur
Shakilur RahmanB.Sc. Agricutural & Bio-resources EngineeringLevel-4 Semester-II(2012)Hajee Mohammad Danesh Science & Technology University, Dinajpur
Group Credential
Selina BanuB.Sc. Agricutural & Bio-resources Engineering
Level-4 Semester-II(2012)Hajee Mohammad Danesh Science &
Technology University, Dinajpur
Rokonuzzaman RokonB.Sc. Agricutural & Bio-resources Engineering
Level-4 Semester-II(2012)Hajee Mohammad Danesh Science &
Technology University, Dinajpur
Supervisor
Fahmida IshaqueLecturer
Dept. of AIEHSTU
Co-Supervisor
Dr. Md. Shiddiqur RahmanProfessor
Dept. of AIEHSTU
Guide Credential
Background of the study
They used to look at the sky and asses the weather condition!
From the very beginning, farmers used to depend on weather for crop production!
Why study environmental Impact on rice yield pattern?
At first, nature itself and its change over time, includes the physical impact on the Earth's land, water, atmosphere and biosphere all are related with rice yield.
1990 2007
At next, how humans use nature, includes the environmental consequences of increasing population, more effective technology and remotely or indirectly changing patterns of rice as well as crop yield.
Finally, environmental engineers need to know what do the farmers think about nature - the way attitudes, beliefs and values influence interaction with nature, especially in the form of myths, religion and science.
Climate variability and change present threats and opportunities to the environment and sustainability of food systems, and hence will further affect links between agriculture, nutrition and health.
An Analysis of the Environmental Impacts of Energy Crops in Nigeria towards
Environmental towards Environmental Sustainability
J.O. OlaoyeDepartment of Agricultural and Biosystems Engineering,
University of Ilorin, Nigeria
2004
Previous Works done on Similar topic
Impact of relative humidity of November month of each year on the yield of Boro riceImpact of air velocity, and sunshine hour of November month of each year on the yield of Boro rice Relationship among the minimum & maximum temperature, sunshine hour, relative humidity, air velocity in Boro season at November
IMPACT OF WEATHER PARAMETERS ON THE YIELD OF RICE IN MYMENSINGH DISTRICT (2001-2009)
BYEngr. MD. SUMON MIAH
B.Sc. In Engg.(Agril)M.S. in Farm Structure(BAU)
2006
Impact of minimum & maximum temperature of November month of each year on the yield of Boro rice
RESEARCHFINDING
Previous Works done on Similar topic
Future Aspect
Better understanding on environmental impact will enable us ; Yield Prediction of rice; To understand response of various rice varieties
to the basic environmental parameters To develop better adaptive varieties
Help Agricultural Scientists with obtained results in developing new high yield varieties.
Objectives of the study
To observe the climatic variability for the last 10 years in Dinajpur district.
To find relationship between environment-parameters and rice grain yield.
To find inter-relationship among the environment-parameters.
Assumptions; are to be taken in developing the model
The values of weather parameters were uniform throughout the Dinajpur district.
Fertilizers were uniformly distributed in every year for the same crop. Irrigation water was uniformly supplied in every year for the same
crop. Management of insecticides, pesticides, etc. were uniform in all years. Viability of seeds was similar in every year. Soil fertility was similar in every year.
MethodologyClimate to crop interactions
How can projections of climate-induced changes be linked to rice production?
Max. Temperature
Relative Humidity
Rainfall
crop Air Velocity
Sunshine hrs
Min Temperature
climate
6 major weather parameters are to be considered
Study Location DinajpurArea 3437.98 sq. km
Population 2290000
Average Rainfall (per year) 2167mm
Average temperature in winter 10ᵒC
Average temperature in summer 34ᵒC
Secondary Data to be collected from Various Agricultural & related Institutions
2,10,810 ha.1,53,400 ha.
44,250 ha.10,530 ha.25,275 ha.53,957 ha.
42%
31%
9%
2%5%
11%
Ropa AmonBoroWheatAushPotatoOthers
Major Crops in Dinajpur District
Crop data selection
Name of cropCropping season in month
Total month
From To
AausFIZER April mid July 3.5
BITLOP April mid July 3.5
AmonBR-11 mid July mid November 4
PAJAM mid July mid November 4
BoroBR-28 November April 6
BR-29 November April 6
2004-2005
2005-2006
2006-2007
2007-2008
2008-2009
2009-2010
2010-2011
0
5000
10000
15000
20000
25000
30000
35000
7 year Yield Record of Aus Rice(m ton) in Dinajpur District
31267
23570
3055
23021
30131
10313
24879
Collected data will be analyzed by using Excel
10 year Total Rainfall Record(mm) in Dinajpur District
2003 2004 2005 2006 2007 2008 2009 2010 2011 20120
500
1000
1500
2000
2500
3000
Collected data will be analyzed by using Excel
2003 2004 2005 2006 2007 2008 2009 2010 2011 20120.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
Average Min temperatureAverage Max Temperature
10 year Average Max. & Min Temperature (ᵒc) Record in Dinajpur District
Collected data will be analyzed by using Excel
Relation between each of the 6 parameters to rice will needed to be derived
Inter-relation among each of the 6 parameters will needed to be derived
To conduct multiple regressions these relations will further be analyzed and statistical model will be obtained in SPSS
Where,Y is the dependent variable ,i represents the year, a is the constant and b, c, d, e, f are the regression coefficient. Tmax is the maximum temperature (oC), Tmin = Minimum Temperature (oC)
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