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Brief Introduction about the department (about 100 words)
The Indian Agricultural Statistics Research Institute (IASRI) New Delhi is a premier Institute under Indian Council of Agricultural Research for conducting research and training in the fields of Agricultural Statistics, Computer Applications and Bioinformatics. Since 1945, the Institute has been organising regular training programmes for the benefit of inservice candidates. From October, 1964 courses leading to M.Sc. and Ph.D. degrees in Agricultural Statistics have been conducted in collaboration with the Indian Agricultural Research Institute (IARI), which has a status of deemed university. Another Post Graduate course leading to M.Sc. degree in Computer Application (initially, Computer Applications in Agriculture) was also started from September, 1985. A new Post Graduate course leading to M.Sc. degree in Bioinformatics was also started from August, 2011. Centre of Advanced Studies in Agricultural Statistics and Computer Applications was established at IASRI during the VIII Five Year Plan as a part of Human Resource Development Programme, vide D.o. no. 1-2/93(CAS)/UNDP dated 2nd February, 1995. CAS was renamed as Centres of Advance Faculty training vide Office order F.No1(31)/2009CAFT/HRD on 7th January 2010.
Objective of CAFT: To strive for excellence in teaching, training and research through
capacity building, infrastructural development and leadership role. To share the knowledge and facilities development with faculty from
other institutes in NARS in the field of Agricultural Statistics and Computer Application through training programs.
To enhance the skills of the scientists and teachers.
Faculty: Name & Designation (as on 25.01.2020):
FACULTY MEMBERS OF P.G. SCHOOL, IARI IN AGRICULTURAL STATISTICS S.No Name & Designation Year of induction 1. Dr. Tauqueer Ahmad, Director 1998 2. Dr. Lalmohan Bhar, Head Statistical Genetics 1998
3. Dr. Seema Jaggi, Head Design of Experiment & Professor Agricultural Statistics 1995
4. Dr. Anil Rai, ADG (ICT), Head CaBin 1995 5. Dr. K.N. Singh, Head (F&ASM) 2011 6. Dr. Rajender Parsad, Principal Scientist 1995
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7. Dr. Amrit Kumar Paul, Principal Scientist 1998 8. Dr. AR Rao, Professor (bioinformatics) 1998 9. Dr. Girish Kumar Jha, Principal Scientist (at IARI) 1999 10. Dr. Cini Varghese, Principal Scientist 2000 11. Dr. Himadri Ghosh, Senior Scientist 2004 12. Dr. Ajit, Principal Scientist 2015 13. Dr. Anil Kumar, Principal Scientist 2010 14. Dr. Prawin Arya, Principal Scientist 2003 15. Dr. Hukum Chandra, National Fellow 2003 16. Dr. Prachi Misra Sahoo, Principal Scientist 2002 17. Sh. Amrender Kumar, Senior Scientist (at IARI) 2003 18. Md. Wasi Alam, Scientist 2003 19. Dr. Ranjit Kumar Paul, Scientist 2011 20. Dr. Mir Asif Iquebal, Scientist 2011 21. Dr. B.N. Mandal, Scientist 2011 22. Dr. Susheel Kumar Sarkar, Scientist 2011 23. Dr. Kaustav Aditya, Scientist 2012 24. Dr. Bishal Gurung, Scientist 2013 25. Dr. Sukanta Dash, Scientist 2013 26. Dr. Arpan Bhowmik, Scientist 2014 27. Dr. Ankur Biswas, Scientist 2015 28. Mr. Kanchan Sinha, Scientist 2016 29. Dr. Anindita Datta, Scientist 2016 30. Dr. Soumen Pal, Scientist 2017
31. Dr. V. Ramasubramanian, Principal Scientist 2017 32. Dr. Sarika, Scientist 2018 33. Mr. Deepak Singh, Scientist 2018 34. Dr. Achal Lama, Scientist 2018 35. Mr. Prakash Kumar, Scientist 2018 36. Dr. Pradip Basak, Scientist 2018 37. Dr. Mrinmoy Ray, Scientist 2018 38. Dr.Raju Kumar, Scientist 2019 39. Dr. Vandita Kumari, Scientist 2019 40. Dr. Kanchan Sinha, Scientist 2019
FACULTY MEMBERS OF P.G. SCHOOL, IARI IN COMPUTER APPLICATION S.No Name & Designation Year of induction 1. Dr. Sudeep Marwaha, Head CA & Professor (CA)
2002
2. Dr. Rajni Jain, Principal Scientist (at NCAP) 2007 3. Dr. Alka Arora, Principal Scientist 2001 4. Dr. Anu Sharma, Scientist 2004
5. Ms. Shashi Dahiya, Senior Scientist 2001
6. Md. Samir Farooqi, Senior Scientist 2001
7. Dr. K.K.Chaturvedi, Senior Scientist 2002
8. Dr. S.B. Lal, Senior Scientist 2004 9. Dr. Anshu Bhardwaj, Principal Scientist 2004
10. Dr. Sangeeta Ahuja, Scientist 2002
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11. Sh. Pal Singh, Scientist 2010
12. Dr. Mukesh Kumar, Principal Scientist 2014
13. Dr. A.K. Mishra, Senior Scientist 2014 14. Ms. Shaloo, Scientist, (WTC) 2016
15. Sh. S.N. Islam Scientist 2018
FACULTY MEMBERS OF P.G. SCHOOL, IARI IN AGRICULTURAL BIOINFORMATICS
S.No Name & Designation Year of induction
1. Dr. A.R. Rao, Professor (Bioinformatics) 2010
2. Dr. Anil Rai, Head (CABin) 2010
3. Dr. Rajender Parsad, Principal Scientist 2010
4. Dr. Seema Jaggi, Principal Scientist 2010
5. Dr. S.S. Marla, Principal Scientist 2010
6. Dr. Sudeep Marwaha, Principal Scientist 2010
7. Dr. Kishore Gaikwad, Senior Scientist 2010
8. Dr. T. Napolean, Senior Scientist 2010
9. Dr. P.K. Singh, Senior Scientist 2010
10. Dr. A.K. Mishra 2010
11. Dr. U.B. Angadi, Senior Scientist 2014
12. Sh. S.B. Lal, Scientist 2010
13. Mohd. Samir Farooqui, Scientist 2010
14. Ms. Anu Sharma, Scientist 2010
15. Dr. Sunil Archak, Scientist 2010
16. Dr. D.C. Mishra, Scientist 2010
17. Dr. Sarika, Scientist 2010
18. Sh. Sanjeev Kumar, Scientist 2010
19. Dr. Mir Asif Iquebal, Scientist 2013
20. Dr. Monendra Grover, Principal Scientist 2013
21. Dr. K.K. Chaturvedi, Scientist 2015
22. Dr. M.G. Mallikarjuna, Scientist 2017
23. Dr. Yasin 2018
24. Dr. Sudhir Shrivastava 2019
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Human Resource Development:
Particulars of Short Courses / Training program conducted during 2017-2020
SI N
Name of Programme Participants
Course coordinators
Period
1. Advanced Statistical Techniques to Biometrics
25 Dr. A.K. Paul Mr. Prakash Kumar
10.08.17 to 30.08.17
2. “Recent advances in sample surveys and survey data analysis using statistical software” under the aegis of Agricultural Education Division
14 Dr. Kaustav Aditya Dr. Ankur Biswas
01.12.17 to 21.12.17
3. Recent Developments in Statistical Modeling and Forecasting in Agriculture under the aegis of Agricultural Division, ICAR
25 Dr. K.N. Singh Sh. Rajeev Ranjan Kumar
28.12.17 to 17.01.18
4. Application on OMICS Tools and Techniques for Agricultural Germplasm Improvements under the aegis of Agricultural Education division
24 Dr. Sarika Dr. Mir Asif Iquebal
09.02.18 to 01.03.18
5. Statistical Advances for Agricultural Data Analysis under the aegis of Agricultural Education Division
25 Dr. Seema Jaggi Dr. Anindita Datta
03.03.18 to 23.03.18
6. Computational and Statistical Advances for analysis of Biological Data in Agriculture under the aegis of Agricultural Education Division, ICAR
20 Dr. Anu Sharma Dr. S.B. Lal
24.03.18 to 13.04.18
7. Recent Trends in Data Analysis and Knowledge Management
15 Dr. Shashi Dahiya Dr. Anshu Bhardwaj Dr. Soumen Paul
06.09.18 to 26.09.18
8. Recent Advances in Agricultural Bioinformatics: Big Data Analysis Perspectives
14 Dr. K.K. Chaturvedi Md. Samir Farooqui
14.11.18 to 04.12.18
9. Advances in Designing and Analysis of Agricultural Experiments under the aegis of Centre of Advanced Faculty Training
24 Dr. B.N. Mandal Dr. Sukhanta Dash Dr. Anil Kumar
06.12.18 to 26.12.18
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10. Modern Statistical Techniques in Genetics Under the aegis of Agricultural Education Division, ICAR
21 Dr. Himadri Shekhar Roy Dr. Ranjit Kumar Paul Dr. Amrit Kumar Paul
01.02.19 to 21.02.19
11. Recent Advances in Statistical Modeling and Forecasting for Agricultural Data Analysis
21 Dr. K.N. Singh Dr. Achal Lama Dr. R.S. Shekhawat
23.02.19 to 15.03.19
12. Statistical Advances in Designing Agricultural Experiments and Data Analysis
25 Dr. Cini Varghese Dr. Susheel Kumar Sarkar Dr. Arpan Bhowmik
19.07.19 to 08.08.19
13. Advances Statistical Analysis of Breeding Data
22 Dr. Amrit Kumar Paul Dr. Ranjit Kumar Paul Dr. Himadri Shekhar Ray
27.08.19 to16.09.19
14. Advances in Data Science using R
22 Dr. Soumen Pal Sh. Pal Singh Dr. Sudeep
21.09.19 to11.10.19
15. Recent Advances in Sample Survey and Data Analysis using Statistical Software
20 Dr. Hukum Chandra Dr. Kaustav Aditya Dr. Pradip Basak
28.11.19 to18.12.19
16. Statistical and Machine Learning Techniques for Modeling and Forecasting Agricultural Data
21 Dr. Mrinmoy Ray Dr. Shivaswamy GP Dr. Harish Kumar H.V
20.12.19 to 09.01.20
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Infrastructure development (equipments etc.):
1. Infrastructure facilities created, equipment/ works / Library:
Renovation of ClassRooms : 5
Air Conditioned Conference :
Room Capacity 50
Facilities Available
Public Address System 1
Television 1
Multimedia Projector 1
Students’ Computer Lab:
Facilities available
Pentium PC’s 20
Laser Printer 2
UPS
(5KVA) 2
Student’s Computer Lab in Hostel :
Facilities available
Pentium PC’s 2
Awards/Recognitions:
2017-18 Dr. Hukum Chandra
Conferred as Fellow, National Academy of Agricultural Sciences (NAAS) under section Social Science,
in the AGM held on 05 June 2017 at NASC Complex, New Delhi.
Dr. K.K. Chaturvedi
Received Distinguished Scientist Award, in International Conference on Global Research Initiatives for
Sustainable Agriculture and Allied Sciences (GRISAAS-2017) held during 02-04
Dr. Seema Jaggi Dec. 2017 at MPUA&T , Udaipur
Conferred as Fellow, National Academy of Agricultural Sciences (NAAS) under section Social Science,
2018
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Dr. Ranjit Kumar Paul
Conferred as Fellow, National Academy of Agricultural Sciences (NAAS) under section Social Science,
2018
Dr. Santosha Rathod
Received Dr. G. R. Seth Memorial Young Scientist Award by Indian Society of Agricultural Statistics in
the 71st Annual National Conference of Indian society of agricultural statistics held 96 ICAR-DRMR,
Bhartapur from 25-27 November, 2017.
Dr. Ravindra Singh Sekhavat
Received Young Scientist Award by Science and Tech Society for Integrated Rural Improvement (S&T
SIRI) on the occasion of National Conference on Promoting Reinvigorating Agri- Horti, Technology
Innovation (PRAGATI - 2017), 11th -12th November, 2017.
Dr. Pradip Basak
Received M. K. Bose award for being the best student in Ph.D. (Agricultural Statistics) at ICARIASRI
during 2013-2016 at the Annual Day of the Institute on 03 July, 2017.
Dr. Ajit
Conferred as Fellow of Indian Society of Agroforestry for the year 2017
Dr. Ranjit Kumar Paul
Received ICAR Lal BahadurShastri Outstanding Young Scientist Award in Social Sciences for 2016 in
ICAR foundation day on 16th July, 2017 at NASC complex, Pusa, New Delhi
Dr. Kaustav Aditya
Awarded “Krishi Vigyan Gourav” Award 2017 from Bhartiya Krishi Anusandhan Samiti and Krishi
Anusandhan Sanchar Kendra (ARCC), Karnal. 97
Sh. Prakash Kumar
Awarded Netaji Subhas-ICAR International Fellowship.
Dr. Sarika
Received “SERS Computational Biologist 2017”award from Society for Educational and Scientific
Research.
Dr. M.A. Iquabal
Received “Young Scientist Award” in 5th Faculty Branding Award 2017 by EET-CRS Research Wing
for Excellence in Professional Education and Industry.
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Alka Arora, Sudeep and Soumen Pal
Received second prize for digital poster presentation in hindi on the paper “KVK Portal and Mobile App:
Digital Tools for Effective Dissemination of Extension Activities” in the Hindi pakwara organized at
ICAR-IASRI.
2018-19
Rajender Parsad and B. N. Mandal
Coauthored a paper presented by the student Mr. Shyamsundar Parui who received Dr. M.N. Das
Memorial Young Scientist Award 2019 for the paper (cum presentation) in the National Conference on
Challenges and Opportunities in Statistics and Informatics for Futuristic Humanosphere especially in
Agriculture held at Tirupati during January 29-31, 2019.
Seema Jaggi
Panjabrao Deshmukh Outstanding Woman Scientist Award-2017 of ICAR during the Foundation Day of
ICAR held at NASC New Delhi on July 16, 2018.
Elected as Fellow, National Academy of Agricultural Sciences with effect from January 1, 2018.
Received the award on June 5, 2018 during the Foundation Day and Annual General Body Meeting of
NAAS at NASC Complex held during June 4-5, 2018.
A.R.Rao
Best Teacher Award in Agricultural Higher Education 2018-19 from ICAR-IARI, New Delhi.Received
the award from the Union Minister of Agriculture & Farmers Welfare, India on 8th February 2019. The
award carried cash prize of Rs. 50,000/- and a certificate.
Fellow of Indian Society of Agricultural Statistics – 2018 from the Secretary DARE & DG, ICAR
at ICAR-CIAE, Bhopal on 14th December 2018.
Hukum Chandra
Recognition Award for outstanding contributions in the field of Social Sciences for the Biennium 2017-
2018 from the National Academy of Agricultural Sciences, New Delhi. The award was conferred by Shri
Radha Mohan Singh, Honorable Union Minister of Agriculture & Farmers’ Welfare, and Shri Gajendra
Singh Shekhawat, Honorable Union Minister of State for Agriculture & Farmers’ Welfare Govt. of India,
on February 20, 2019.
Fellow of Indian Society of Agricultural Statistics; the award was conferred by Dr. T. Mohapatra,
Secretary, DARE & DG, ICAR at ICAR-CIAE, Bhopal on December 13, 2018.
Co-authored the paper by Dr. Sadikul Islam which fetched Dr. G.R. Seth Young Scientist Award 2018
to the latter by Indian Society of Agricultural Statistics.
Sarika
National Academy of Agricultural Sciences Associate with effect from January 1 2019.
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Ranjit Kumar Paul
Elected as Fellow, National Academy of Agricultural Sciences with effect from January 1, 2018.
Received the award on June 5, 2018 during the Foundation Day and Annual General Body Meeting of
NAAS at NASC Complex held during June 4-5, 2018.
S.N. Islam and Pal Singh
Received Second prize in Hindi Prashan Manch Pratiyogita in Hindi Pakhawara during September,
2018
Dr. Hukum Chandra
Receiving “Recognition Award” of NAAS from Shri Radha Mohan Singh, Union Minister of Agriculture
& Farmers’ Welfare, and Shri Gajendra Singh Shekhawat, Union Minister of State for Agriculture &
Farmers’ Welfare, New Delhi, February 20, 2019.
Dr. Ranjit Kumar Paul
conferred Fellow, National Academy of Agricultural Sciences on June 5, 2018 during the Foundation
Day of NAAS at NASC Complex, New Delhi
Dr. Hukum Chandra
receiving Fellow of Indian Society of Agricultural Statistics from Dr. T. Mohapatra, Secretary, DARE &
DG, ICAR, Bhopal, December 13, 2018.
Sukanta Dash
Bharat Vikas Award on the occasion of National Seminar on Intellectuals Social Responsibility at
Bhubaneswar, Odisha for loyalty, diligence and outstanding performance in the field of Artificial Neural
Network and Multivariate Statistics on 1st December 2018.
Arpan Bhowmik
Young Scientist Award-2018 of Coochbehar Association for Cultivation of Agricultural Science
(COBACAS) for contribution in agricultural sciences during the COBACAS 4th National Conference
organized jointly by COBACAS and UBKV at College of Agriculture, UBKV, Majhian, Dakshin Dinajpur,
West Bengal during 17-18 January, 2019.
Anindita Datta
Jawaharlal Nehru Award for P.G. Outstanding Doctoral Thesis Research in Agricultural and Allied
Sciences 2017 on 16 July, 2018 on ICAR Foundation day at NAS Complex, New Delhi
Best Paper Award A.K.Paul and Ranjit Kumar Paul
Best Paper Award for Performance of parametric and Non Parametric Stability Measures, published in
the Journal of the Indian Society of Agricultural Statistics, Volume 69, No. 3, December 2015 in the
field of Statistical Genetics and Genomics at ICAR-CIAE, Bhopal during 13- 15, December, 2018.
A. R. Rao
Best poster award in XIV Agricultural Science Congress organized by NAAS and ICAR-IARI at NASC
Complex, New Delhi during 20-23 February, 2019 for the research paper entitled “Development of
bioinformatics tool for analysis of crop DNA fingerprints” jointly written by Kumari, S., Bhat, K.V., Rao,
A.R., Mishra, D.C. and Paul, R.K.
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Poster paper on “SNP and SSR analyses of genetic diversity in cluster bean (Cyamopsis
tetragonoloba) from RNAseq-data” jointly authored by Sahu, S., Ghosal, S., Gaikwad, K., Kaur, M. and
Rao, A.R. was presented in International conference on NextGen Genomics, Biology, Bioinformatics
and Technologies (NGBT) in Jaipur, 30th September – 2nd October, 2018. This paper received Gyan
scholarship award and Sahu, S. presented the paper.
Secured 1st position in Oral presentation for the paper “Identification of differentially expressed long
non-coding RNAs and their functional role in cluster bean (Cyamopsis tetragonoloba)” jointly written by
Sahu, S., Saxena, S., Ghosal, S., Gaikwad, K. and Rao, A.R. in the International Conference on
Climate Change, Biodiversity and Sustainable Agriculture organized at AAU, Jorhat, Assam during 13th
- 16th, December, 2018. The paper was presented by Sahu, S.
Himadri Ghosh
Best Paper Award for Stochastic Volatility Model Fitting using Particle Filter: An Application in the
Journal of the Indian Society of Agricultural Statistics, Volume 68, No.3, December, 2014 in the field of
Applied Statistics at ICAR-CIAE, Bhopal during 13-15, December, 2018.
Ramasubramanian V.
Dr. Anamitra Saha Award for the paper Qureshi, N.W., Krishnan, M., Wani, S.A., Ramasubramanian,
V., Sivaramane, N. and Sundaramoorthy, C. (2017) Negative Externalities in Kashmir Lake Fisheries:
Transformation in Species Patronage, Use Priorities and Policy,
Indian Journal of Agricultural Economics, 72(1), 89-101, awarded by Indian Journal of Agricultural
Economics, Mumbai, adjudged as Best among the papers published in the Journal during the year
2017. Cini Varghese, Seema Jaggi and Rajender Parsad
Best Paper Award 2014-15 among the papers in the field of Design of Experiments published in
Journal of the Indian Society of Agricultural Statistics during the 72nd Annual Conference of the Indian
Society of Agricultural Statistics held at ICAR-Central Institute of Agricultural Engineering, Bhopal, MP
from December 13-15, 2018.
Sudeep Marwaha and Alka Arora
Best paper award for the paper “Online Progress Monitoring of Agricultural Scientists: e-initiative” by
ISAS at ICAR-CIAE, Bhopal during 13-15, December, 2018.
Ranjit Kumar Paul
Best poster award in the 10th International Triennial Calcutta Symposium on Probability and statistics
held at University of Calcutta, West Bengal during 27-30 December, 2018.
Arpan Bhowmik
Best Paper Award 2017 among the published papers in Range Management and Agroforestry. The
award has been conferred by the Executive council of the Range Management Society of India, Jhansi
on 13 December, 2018 in the National Symposium on Forage and Livestock based Technological
Innovation for Doubling Farmers' Income held at University of agricultural Science, Dharwad,
Karnataka.
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Samarendra Das and A.K. Paul
Best Paper Award for A Comparative Study of Various Classification Techniques in Multivariate Skew-
Normal Data Published in the Journal of the Indian Society of Agricultural Statistics, Volume 69, No.3,
December 2015 in the field of Statistical Theory and Methodology at ICARCIAE, Bhopal during 13-15,
December, 2018.
Deepak Singh
Received best paper award in the session “Sample surveys and Applications” in 72nd Annual
Conference of the ISAS, held at ICARCIAE, Bhopal during 13-15, December, 2018.
Raju Kumar
Received best paper award in the session “Sample surveys and Applications” in 72nd Annual
Conference of the ISAS, held at ICARCIAE, Bhopal during 13-15, December, 2018.
Vandita Kumari Choudhary
Received best paper award in the session “Sample surveys and Applications” in 72nd Annual
Conference of the ISAS, held at ICARCIAE, Bhopal during 13-15, December, 2018.
Neeraj Budhlakoti
Received Best Paper Award for Geocoris ochropterus Fieber: a potential predator. Best oral
presentation award in First International conference on Biological Control: Approaches and
Applications, organized at Bengaluru, India from 27-29 September, 2018.
Garima Singh and B N Mandal
Best paper award in students’ session at 72nd Annual Conference of Indian Society of Agricultural
Statistics on Statistics, Informatics and Engineering Interventions held at ICARCentral Institute of
Agricultural Engineering, Bhopal, MP during December, 13-15, 2018.
Krishi Vigyan Gaurav (An Honorary Title)
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2019-20
Dr. Hukum Chandra received Cochran-Hansen Prize 2009 from International Association of Survey
Statisticians.
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—f"k vuqla/kku if«kdk us ys£d®a d® Ñf"k foKku Xk©jo dh ekun mikfËk ls vyaÑr fd;kA
vi.kZ HkkSfed] lhek tXxh] ,Ynks oxhZl] lquhy dqekj ;kno] eks- gk:u] fluh oxhZl] vfuafnrk nRrk
,oa mn;ohj flag ¼2018½ fofo/krk ds L=ksrksa ds varxZr ikq ijh{k.kksa ds fy, izo`fr eqDr vfHkdYiuk,aA
Dr. Mrinmoy Ray honoured with Jawaharlal Nehru Award for P.G. Outstanding Doctoral Thesis
Research in Agricultural and Allied Sciences 2018 – Social Sciences by ICAR.
Dr. Sudhir Srivastava received financial aid award from the National Institutes of Health (NIH) R01
project of Dr. J. Christopher States for Summer 2019 at University of Louisville, USA.
Vandita Kumari Choudhary received Third prize for research paper “Yk?kq {ks= vkdyu rduhd ds
vuqiz;ksx }kjk mRrj izns'k ds xzkeh.k ifjokjksa esa _.kxzLrrk dh fLFkfr dk vkdyu by Vandita
Kumari, Hukum Chandra, Kaustav Aditya and UC Bandooni in the “Digital Research Paper
Presentation” organized on 11 September, 2019 at ICAR-IASRI, New Delhi.
Dr Vandita Kumari Choudhary received Second prize for “Antakshari” organized on 07 September,
2019 during Hindi Pakhwara at ICAR-IASRI, New Delhi.
Dr Ankur Biswas participated in Hindi Pakhwada and received third prize in Sabdarth Lekhan
Pratiyogita.
13
Dr Pradip Basak participated in the quiz and sabdarth lekh competition in the hindi Pakhwara at ICAR-
IASRI, New Delhi and awarded first prize in the quiz competition.
Dr. Sudhir Srivastava received financial aid award from the National Institutes of Health (NIH) R01
project of Dr. J. Christopher States for Summer 2019 at University of Louisville, USA.
The division of Design Experiment received the Chal Shield for doing work in Hindi during the Hindi
Pakhwada celebration from 3-16 September, 2019 at ICAR-IASRI, New Delhi.
The following papers presented in Digital Hindi Research Paper Presentation competition during Hindi
Pakhwada celebration from 3-16 September, 2019 at ICAR-IASRI, New Delhi received prizes as
mentioned:
Dr. kanchan Sinha Received “Young Scientist” Award for contribution in the field of forecasting and
agricultural systems modelling on the occasion of International Conference on Global Research
Initiatives for Sustainable Agriculture and Allied Sciences (GRISAAS-2019) during 20-22 October, 2019
held at ICAR-National Academy of Agricultural Research Management, Rajendranagar, Hyderabad,
Telengana, India from the Society for Scientific Development in Agriculture and Technology.
Dr. Mukesh Kumar awarded second position in oral presentation to paper entitled” Development and
Validation of Mobile Based Decision Support System for Postural Assessment of Agricultural Activities
Using Rapid Upper Limb Assessment (RULA) Technique" in International Conference On Global
Research Initiatives For Sustainable Agriculture & Allied Sciences (GRISAAS-2019) during 20–22
October 2019 at ICARNAARM, Hyderabad, Telangana.
Dr. Ranjit Kumar Paul received appreciation letter from Advisor, Ministry of Agriculture and farmers
welfare, Government of India for my contribution as panelist in 3rd Agricultural Outlook Forum held
during 26-27 September, 2019 at NASC Complex
Best Poster Award: Ali, Abid, Kumar, Rakesh, Iquebal, Mir Asif, Jaiswal, Sarika, Kumar, Dinesh and
khan, Asad (2018). Role of N193, S217, G219 and T262 conserved residues in catalytic activity of
NDM-1: an computational and molecular approach. In International 20 Conference Interdisciplinary
Science Conference on Big Data and Computational Biology during October 21-22, 2019 at Jamia Milia
Islamia University, New Delhi 110025.
Misra, T, Arora, A, Marwaha, S, Ray, M, Raju, D, Kumar, S, GOEL, S, Sahoo, RN and Chinnusamy, V
(2019) Artificial neural network for estimating leaf fresh weight of rice plant through visual-nir imaging.
Indian Journal of Agricultural Sciences, 89 (10): 1698–1702.
Singh, D, Kumar, R, Yadav, SK. Roy, HS, Biswas, A and RS Shekhawat. (2019). A study on problems
of major pulses producers and their solutions in India. Bhartiya Krishi Anushandhan Patrika, 34(2): 92-
98. DOI: 10.18805/BKAP162.
14
Yadav, SP, Sarkar, SK, Mahapatra, RK, Kannaki, TR, Dange, M, Bhattacharya, TK, Chatterjee, RN
(2019). Modeling growth curves for Indian Native vs Exotic chicken breeds to assist in selection. Ind J.
Ani. Sci., 89(8): 898–902.
Bhowmik, A, Jaggi, S, Varghese, E & Varghese, C (2019). A note on optimal directional neighbour
designs with random block effect. Communications in Statistics - Simulation and Computation.
DOI:10.1080/03610918.2019.1568475.
Verma, RK, Wason, M, Padaria, RN, Singh, P, Sarkar, S and Bhowmik, A (2018). Effectiveness of
Information and Communication Technology based Advisory Services in Addressing Information Need
of Rural Women: A Case of Connecting Dream Foundation. Indian Journal of Extension Education.
54(2): 148-152.
Parui, S, Parsad, R, Mandal, BN and Dash, S (2019). Block designs for incomplete factorial treatment
structures with two factors. Communications-in-Statistics: Theory and Methods, 48(24), 6038-6053.
https://doi.org/10.1080/03610926.2018.1524911,http://krishi.icar.gov.in/jspui/handle/123456789/24347.
Paul, RK, Vennila, S, Bhat, MN, Yadav, SK, Sharma, VK, Nisar, S and Panwar, S (2019). Prediction of
early blight severity in tomato (Solanum lycopersicum) by machine learning technique. Indian Journal
of Agricultural Sciences 89 (1): 169-175.
Narsimhaiah, L, Sahu, PK, Singh, SHH, Sinha, K, Dey, S and Pandit, P (2019). Modelling and
forecasting of arecanut production in India-vision 2020, International Journal of Current Microbiology
and Applied Sciences, 8(11): 728-738.
Narsimhaiah, L, Sahu, PK, Sinha, K, Singh, SHH, Dey, S and Pandit, P (2019). Forecasting of coconut
production in India: An approach with ARIMA, ARIMAX and combined forecast techniques,
International Journal of Current Microbiology and Applied Sciences, 8(11): 1710- 1719.
Grover*, M, Mishra, DC, Kumar, RR and Kaur, M (2019). A decade of research in quantum
bioinformatics: a quantum computational view of the universe with special reference to living
organisms. International Journal of Current Research. 11(10): 7769-7770.
Nathamuni, S, Jangam, AK, Katneni, VK, Selvaraj, A, Krishnan, K, Kumar, S, Avunje, S,
Balasubramaniam, S, Grover, M, Alavandi, SV, Koyadan1,VK (2019). Insights on genomic diversity of
Vibrio spp. through Pan-genome analysis. Annals of Microbiology.https://doi.org/10.1007/s13213-019-
01539-7
15
2017-18 Publications
1. Aditya, K, Chandra, H, Sud, UC, Bharadwaj,A and Dahiya, R (2018). Development of Software for
Digitization of Collected Data Under a Pilot Study to Estimate Crop Area and Production Based on the
Sample Sizes Recommended by Professor Vaidyanathan Committee Report. Journal of the Indian
Society of Agricultural Statistics, 72 (1):15-26.
2. Anjoy, P, and Paul, RK (2017). Wavelet based Hybrid Approach for Forecasting Volatile potato price.
Journal of the Indian Society of Agricultural Statistics 71(1): 7-14.
3. Anjoy, P, Paul, RK, Sinha, K, Paul, AK and Ray, M (2017). A hybrid wavelet based neural networks
model for predicting monthly WPI of pulses in India. Indian Journal of Agricultural Sciences, 87 (6):
834-839.
4. Aravind, J Rinku, S, Pooja, B, Shikha, M, Kaliyugam, S, Mallikarjuna, MG and Rao, AR (2017).
Identification, characterization, and functional validation of drought-responsive microRNAs in
subtropical maize inbreds. Frontiers in plant science 8: 941.
5. Arora, A, Marwaha, S, Samimul Alam, AKM, Saravana Kumar, R (2017).E-Governance Initiative for
Effective Training Management and Knowledge Sharing in Large Scale Organization, Journal of the
Indian Society of Agricultural Statistics, 71(3): 265–272.
6. Arora, K, Panda, KK, Mittal, S, Mallikarjuna, MG, Rao, AR, Dash, PK and Thirunavukkarasu, N
(2017). RNAseq revealed the important gene pathways controlling adaptive mechanisms under
waterlogged stress in maize. Scientific Reports, 7: 10950, 1-12.
7. Basak, P, Sud, UC and Chandra, H (2017). Calibration Estimation of Regression Coefficient for Two-
stage Sampling Design. Journal of Indian Society of Agricultural Statistics, 71(1): 1–6.
8. Basak, P, Sud, UC and Chandra, H (2018). Calibration Estimation of Regression Coefficient for Two-
stage Sampling Design using Single Auxiliary Variable. Journal of the Indian Society of Agricultural
Statistics, 72(1):1-6.
9. Behera, BK, Baisvar, VS, Kumari, K, Rout, AK, Pakrashi, S, Paria, P and Rao, AR (2017). The
complete mitochondrial genome of the Anabas testudineus (Perciformes, Anabantidae) and its
comparison with other related fish species. Mitochondrial DNA Part A, 28 (2): 161-162.
10. Bhowmik, A, Jaggi, S, Varghese, E and Varghese, C (2017). Optimal block designs with non
additive mixed effects interference, Communications in Statistics - Theory and Methods, DOI:
10.1080/03610926.2017.1291978.
11. Bhowmik, A, Jaggi, S, Varghese, E and Yadav, SK (2017). Trend Free Design under Two-way
Elimination of Heterogeneity. RASHI, 2(1): 34- 38.
16
12. Bhowmik, A, Varghese, E, Jaggi, S and Varghese, C (2017). Minimally Changed Run Sequences in
Factorial Experiments. Communication in Statistics: Theory and Methods, 46:15, 7444-7459. 112
13. Bhowmik. A, Varghese, E, Jaggi, S and Yadav, SK (2017). Designs for Animal experiments under
two-way blocking structure in the presence of systematic trend. Indian Journal of Animal Sciences, 88
(1): 121–124.
14. Chandel, C, Dubey, M, Gupta, S, Patil, AH and Rao, AR (2017). Identification and characterization
of a grain micronutrient related OsFRO2 rice gene ortholog from micronutrient-rich little millet (Panicum
sumatrense), 3 Biotech, 7:80.
15. Chandra, H and Salvati, N (2018). Small Area Estimation for Count Data under a Spatial
Dependent Aggregated Level Random Effects Model. Communications in Statistics – Theory and
Methods, 47 (5): 1234 -1255.
16. Chandra, H, Kumar, S and Aditya, K (2018). Small Area Estimation of Proportions with Different
Levels of Auxiliary Data. Biometrical Journal, 60: 395–415.
17. Choudhary, P, Malhotra, S, Bharadwaj, C, Gaikwad, K, Kaur, S, Chopra, M, Tandon, G, Jaiswal, S,
Iquebal, MA, Rai, A, Kumar, D, Jain, S and Pradeep, K (2017). Transcriptomic signature of fusarium
toxin in chickpea unveiling wilt pathways and marker discovery. Physiological and Molecular Plant
Pathology,
100, 163-177.
18. Choudhury, N, Saurav S, Kumar, RR and Budhlakoti, N (2017). Modelling and Forecasting of Total
Area, Irrigated Area, Production and Productivity of Important Cereal Crops in India towards Food
Security. International Journal of Current Microbiology and Applied Sciences, 6(10): 2591-2600.
19. Dahiya, S, Handa, SS and Singh, NP (2017). A feature selection enabled hybrid-bagging algorithm
for credit risk evaluation, Expert Systems, 34(6):e12217.
20. Das, K, Choudhary, AK, Pooniya, V, Swarnalakshmi, K, Parihar, CM, Bana, RS and Sarkar, SK
(2017). Integrated crop management modules for enhancing productivity and profitability of direct-
seeded basmati rice (Oryza sativa). Indian Journal of Agronomy, 62 (4): 528–530.
21. Das, S, Meher PK, Pradhan UP, Paul AK (2017). Inferring gene regulatory networks using
Kendall’s tau correlation coefficient and identification of salinity stress responsive genes in rice. Current
Science, 112 (6): 1257- 1262.
22. Das, S, Meher, PK, Rai, A, Bhar, LM and Mandal, BN (2017). Statistical approaches for gene
selection, Hub gene identification and module interaction in gene co-expression network analysis: An
application to aluminum stress, PloS one, 12 (1), e0169605.
17
23. Das, S, Paul, AK, Wahi, SD, Pradhan, UK (2017). Comparative performance of imputation methods
for different proportions of missing data in classification of crop genotypes. Journal of the Indian
Society of Agricultural Statistics, 71(2): 147–153.
24. Das, S, Rai, A, Mishra, DC and Rai, SN (2018). Statistical approach for gene set analysis with trait
specific quantitative trait loci. Scientific Reports, 8 (1): 2391.
25. Deb Chandan Kumar, Karn Saket Kumar, Das, M and Marwaha, S (2018). Microbial Taxonomy
Ontology for Agriculturally Important Microorganisms (AMO) Coupled with Sequence Alignment
Reinforcement Options. International Journal of Current Microbiology and Applied Science, 7(4): 3154-
3166.
26. Defo, C, Kaur, R, Bharadwaj, A, Lal, K and Kumar, P (2017): Modelling approaches for simulating
wetland pollutant dynamics, Critical Reviews in Environmental Science and Technology, 47 (15):1371-
1408.
27. Dey, SK, Chakrabarti, B, Prasanna, R, Singh, SD, Purakayastha, TJ, Datta, A and Pathak, H
(2017). Productivity of mungbean (Vigna radiata) with elevated carbon dioxide at various phosphorus
levels and cynobacteria inoculation. Legume research, 40(3): 497-505.
28. Faisal, S, Mani, I, Gupta, RK, Sahoo, PK, Jha, SK, Singh, B, Sarkar, SK and Khura, TK (2017)
Response surface analysis and process optimization of twin screw extrusion of apple pomace blended
snacks. Indian Journal of Agricultural Sciences, 87 (11): 1499–1506.
29. Farooqi, MS, Kumar, A, Mishra, DC, Kumar, S, Rai, A, Chaturvedi, KK and Lal, SB (2017).
Prediction of miRNA and Identification of their Relationship Network Related to Late Blight Disease of
Potato. MicroRNA, 7(1): 11-19.
30. Gaikwad, NN, Pal, RK, Suryawanshi, S, Babu, KD, Maity, A and Sarkar, S (2017). Effect of
extraction method and thermal processing on retention of bioacvtive compounds of pomegrante
(Punica granatum) (cv. Bhagwa) juice. Indian Journal of Agricultural Sciences, 87 (11): 1445–52.
31. Gaikwad, NN, Yedle,VH, Yenge, G, Suryavanshi, S, Babu, KD, Pal, RK and Sarkar, S (2017) Effect
of microwave pretreatment on extraction yield of pomegranate seed (cv. Bhagwa) oil. International
Journal of Chemical Studied, 5(4): 1291-94.
32. Ghosh, H (2017). Nonorthogonal optimal partial diallel cross designs for consistent estimation of
heritability, Journal of Japan Statistical Society, 47 (1): 37-48.
33. Ghosh, H and Prajeshu (2017). Richards stochastic differential equation growth model and its
application. Journal of the Indian Society of Agricultural Statistics, 71(2): 127– 137.
18
34. Ghosh, N, Sud, UC, Chandra, H and Gupta, VK (2017). Model based calibration approach for
estimating population total in successive sampling. Journal of the Indian Society of Agricultural
Statistics, 71(2): 95-102.
35. Gioi, HV, Mallikarjuna, MG, Mittal, S, Banduni, P, Jha, SK, Dash, P, Basappa, AM, Gadag, RN,
Rao, AR and Thirunavukkarasu, N (2017). Variable level of dominance of candidate genes controlling
drought functional traits in maize hybrids. Frontiers in Plant Science, 8:940.
36. Grover, M, Kumar, S and Kumar, R (2017). Quantum mechanics and biology—some new thoughts.
International Journal of Scientific Research in Science and Technology, 3(1): 173-174.
37. Grover, M, Mishra, DC, Sharma, N, Srivastava, S and Rai, A (2017) The maximum computational
capacity of proteins involved in abiotic stress differs significantly from the proteins not involved in
abiotic stress. National Academy Science Letters, 40(4): 233-235.
38. Guha, S, Sud, UC and Chandra, H (2018). Calibration Approach Based Chain Ratio Type and
Chain Product Type Estimators in Two Phase Sampling Involving Two Auxiliary Variables. Journal of
Statistical Theory and Practice,12(2) 188-205.
39. Gupta, OP, Nigam, D, Dahuja, A, Kumar, S, Vinutha, T, Sachdev, A and Praveen, S (2017):
Regulation of isoflavone biosynthesis by mirnas in two contrasting soybean genotypes at different seed
developmental stages. Frontiers in Plant Sciences, 8:567.
40. Gupta, S, Singh, Y, Kumar, Raj, HU, Rao, AR and Varadwaj, PK (2018). Identification of novel
abiotic stress proteins in Triticum aestivum through functional annotation of hypothetical proteins.
Interdisciplinary Sciences- Computational Life Sciences, 10 (1): 205-220.
41. Gurung, B, Singh, KN, Shekhawat, R S and Yeasin, Md (2017). An insight into technology diffusion
of tractor through Weibull growth model. Journal of Applied Statistics, 45(4): 682-696.
42. Himanshu, Chaturvedi, KK, Bandopadhyay, A and Jain, S (2017). PATRICIA Trie based time and
memory optimization for fast network motif search. Indian Journal of Animal Sciences, 87(4):512-519.
43. Iquebal, MA, Jaiswal, S, Mahato, AK, Jayaswal, PK, Angadi, UB, Kumar, N, Sharma, N, Singh, A,
Srivastav, M, Praksh, J, Singh, SK, Khan, K, Mishra, RK, Rajan, S, Bajpai, A, Sandhya, BS, Nischita,
P, Ravishankar, KV, Dinesh, MR, Rai, A, Kumar, D, Sharma, TR and Singh, NK (2017). MiSNPDb: a
web based genomic resources of tropical ecology fruit mango (Mangifera indica L.) for phylogeography
and
varietal differentiation. Scientific Reports 7, 14968.
44. Iquebal, MA, Soren, KR, Gangwar, P, Shanmugavadevel, PS, Aravind, K, Singla, D, Jasrotia, RS,
Jaiswal, S, Chaturvedi, SK, Singh, NP, Varshney, RK, Rai, A and Kumar, D (2017). Discovery of
19
putative herbicide resistance genes and its regulatory network in chickpea using transcriptome
sequencing. Frontiers in Plant Science, 8:958.
45. Iquebal, MA, Tomar, RS, Parakhia, MV, Singla, D, Jaiswal, S, Rathod, VM, Padhiyar, SM, Kumar,
Ne, Rai, A and Kumar, D (2017). Draft whole genome sequence of groundnut stem rot fungus Athelia
rolfsii revealing genetic architect of its pathogenicity and virulence. Scientific Reports, 7,5299.
46. Islam, S, Sharma, RK, Chhokar, RS, Dhar, S, Sabir, N, Chaturvedi, KK, Singh, R, Farooqi, MS and
Sharma, K (2017). Expert system for the identification and control of weeds in wheat crop. Annals of
Agricultural Research, New Series. 38(2):1-9.
47. Jaiswal, S, Antala, TJ, Kheni, J, Chopra, M, Mandavia, MK, Tomar, RS, Jasrotia, RS, Iquebal, MA,
Angadi, UB, Rai, A and Kumar, D (2018) Transcriptomic signature of drought response in pearl millet
(Pennisetum glaucum (L.) and development of web-genomic resources. Scientific Reports: 8, 3382.
48. Jaiswal, S, Sheoran, S, Arora, V, Angadi, UB, Iquebal, MA, Raghav, N, Aneja, B, Kumar, D,
Khokar, RS, Sharma, P, Singh, GP, Rai, A, Tiwari, R and Kumar, D (2017). Putative Microsatellite DNA
Marker-Based Wheat Genomic Resource for Varietal Improvement and Management. Frontiers in Plant
Sciences, 8:2009.
49. Jalgaonkar, K, Jha, S, Nain, L and Iquebal, MA (2017). Quality changes in pearl millet based pasta
during storage in flexible packaging. Journal of Agricultural Engineering, 54(3): 22- 31.
50. Jana, C, Dahiya, S, Mahajan, VK, Das, TK and Alam, NM (2016). A Web-based System on
Herbicide Recommendation for Field Crops in India. Journal of the Indian Society of Agricultural
Statistics, 70(3): 287–294.
51. Jangam, K, Bhuvaneswari, T, Krishnan, AN, Katneni, VK, Avunje, S and Grover, M (2018). Draft
Genome Sequence of Vibrio parahaemolyticus Strain VP14, Isolated from a penaeus vannamei culture
farm. Genome Announcements, 6 (11): e00149-18.
52. Jasna, VK, Burman, RR Padaria, RN Sharma, JP, Varghese, E, Chakrabarti, B and Dixit, S
(2017) Impact of climate resilient technologies in rainfed agro-ecosystem, Indian Journal of Agricultural
Sciences, 87 (6): 816–24.
53. Jasrotia, RS, Iquebal, MA, Yadav, PK, Kumar, N, Jaiswal, S, Angadi, UB, Rai, A and Kumar, D
(2017). Development of transcriptome based web genomic resources of yellow mosaic
disease in Vigna mungo. Physiology and Molecular Biology of Plants, 23(4): 767-777).
54. Jerome, A, Srivastava, SK, Sharma RK, Sarkar, SK and Kumar, R (2017). Follicular dynamics,
hormonal and biochemical profile across seasons in buffaloes. Indian Journal of Animal Sciences, 87
(7): 824–828.
20
55. Jha, UC, Jha, R, Bohra, A, Parida, SK, Kole, PC, Thakro, V, Singh, D and Singh, NP (2018).
Population structure and association analysis of heat stress relevant traits in chickpea (Cicer arietinum
L.). 3 Biotech, 8(1):43.
56. Junaid, A, Kumar, H, Rao, AR, Patil, AN, Singh, NK and Gaikwad, K (2018). Unravelling the
epigenomic interactions between parental inbreds resulting in an altered hybrid methylome in
pigeonpea. DNA Research, dsy008.
57. Karak, T, Bora, K, Paul, RK, Das, S, Khare, P, Dutta, AK and Boruah, RK (2017). Paradigm shift of
contamination risk of six heavy metals in tea (Camellia sinensis L.) growing soil: A new approach
influenced by inorganic and organic amendments. Journal of Hazardous Materials, 338: 250–264.
58. Kaur, RP, Chaudhary, B and Alam, W (2017). Associations among yield and yield contributing traits
of potato in North-western Plains of India. The Indian Journal of Agricultural Sciences, 87(10): 1409–
11.
59. Kaustav, A, Biswas, A, Gupta, AK and Chandra, H (2017). District level crop yield estimation using
calibration approach. Current Science, 112(9): 1927-1931.
60. Khatal, SA, Ali, S, Hasan, M, Singh, DK, Mishra, AK and Iquebal, MA (2018). Assessment of
groundwater recharge in a small ravine watershed in semi-arid region of India. International Journal of
Current Microbiology and Applied Sciences, 7(2): 2552-2565.
61. Kour, S, Pradhan, UK, Paul, RK and Vaishnav, PR (2017). Forecasting of Pearl millet productivity
in Gujarat under time series framework. Economic Affairs, 62(1): 121-127.
62. Krishna, DK, Kumbhare, NV, Padaria, RN, Singh, P and Bhowmik, A (2017). Socio-technological
empowerment of rural households through community radio stations.Journal of Community Mobilization
and Sustainable Development, 12(1): 56-60.
63. Krishna, G, Sahoo, RN, Pradhan, S, Ahmad, T and Sahoo, PM (2017). Hyperspectral satellite
data analysis for pure pixels extraction and evaluation of advanced algorithms for LULC classification.
Earth Science Informatics, 11(2):159-170.
64. Krishnakumar, P, Mani, I, Gupta, RK, Kumar, A, Jha, SK, Singh, B, Sarkar, SK And Lande, SD
(2017) Development of barnyard millet based nutri-functional snack food: A response surface
methodology approach. Indian Journal of Agriculture Sciences, 87 (11): 1430–6.
65. Kumar, D and Farooqi, MS (2017). The type-I generalized half logistic distribution based on
generalized order statistics. International Journal of Agricultural and Statistical Sciences, 13 (1): 337-
344.
21
66. Kumar, DK, Ramasubramanian, V, Krishnan, M, Ananthan, PS, Vinay, A and Kumar, RS (2017).
Socio-economic status of fishers of coastal India. International Journal of Current Microbiology and
Applied Sciences, 6(9), 2267-2280.
67. Kumar, P, Kaur, R, Suman, A, Singh, A and Kumar, P (2017). Nickel Bioremediation by Different
Wetland Macrophytes Root Associated Bacteria. Chemical Science Review and Letters. 6(22): 987-
994.
68. Kumar, P, Lal, K, Mukherjee, A, Pradhan, UK, Ray, M and Prakash, O (2018). Advanced
rowcolumn
designs for animal feed experiments. Indian Journal of Animal Sciences, 88 (4):499- 503.
69. Kumar, RR and Jha, GK (2017). Examining the Co-movement between energy and agricultural
commodity prices in India, Journal of the Indian Society of Agricultural Statistics, 71(3): 241–252.
70. Kumar, RR, Goswami, S, Shamim, M, Dubey, K, Singh, K, Singh, S, Kala,YK, Ravi, RK, Niraj,
Sakhrey, A, Singh, GP, Grover, M, Singh, B, Rai, GK, Rai, AK, Chinnusamy, V and Praveen, S (2017).
Exploring the heatresponsive chaperones and microsatellite markers associated with terminal heat
stresstolerance in developing wheat. Functional and Integrative Genomics, 17(6):621-640.
71. Kumar, S, Jangam, AK, Akhil, V, Rajendran, V, Katneni, VK, Sahaya, RJJ, Grover, M, Nagaleekar,
VK, Alavandi, SV and Vijayan, KK (2017). Draft genome sequence of the luminescent strain Vibrio
campbellii LB102, isolated from a black tiger shrimp (Penaeus monodon) broodstock rearing system.
Genome Announment, 5:e00342-17.
72. Kumar, S, Sangeetha, V, Singh, P, Burman, R., Bhowmik, A and Venkatesh, P (2017). Factors
influencing stakeholders to use Rice Knowledge Management Portal (RKMP). Journal of Community
Mobilization and Sustainable Development. 12 (2): 179-187.
73. Kumar, S, Sisodia, BVS, Kumar, S, Singh, D and Basak, P (2017). On various approaches for
estimating finite population total in survey sampling under ratio super population model. International
Journal of Agricultural and Statistical Sciences, 13(2): 677-682.
74. Kumar, S, Sisodia, BVS, Singh, D and Basak, P (2017). Calibration approach based estimation of
finite population total in survey sampling under super population model when study variable and
auxiliary variable are inversely related. Journal of Reliability and Statistical Studies, 10(2): 83-93.
75. Lall, S, Jaggi, S, Varghese, E, Varghese, C and Bhowmik, A (2018). An algorithmic approach to
construct D-optimal saturated designs for logistic model. Journal of Statistical Computation and
imulation. 88(6): 1191-119.
22
76. Mahalingaraya, Rathod, S, Sinha K, Shekhawat RRS, and Chavan, S (2018). Statistical Modeling
and Forecasting of Total Fish Production of India: A Time Series Perspective. International Journal
Current Microbiology Application Sciences, 7(3): 1698- 1707.
77. Mandal, BN and Dash, S (2017). On balanced incomplete Latin square designs. Communications
in Statistics: Theory and Methods, 46(13): 6258-6263.
78. Maragal, SY, Singh, AK, Behera, TK, Munshi, AD and Dash, S (2018). Effect of planting time and
fertilizer dose on growth, yield and quality of parthenocarpic cucumber (Cucumis sativus) grown under
polyhouse and nethouse conditions, Indian Journal of Agricultural Sciences, 88 (1): 63–69.
79. Meena, VS, Mittal, RK, Choudhury, PR, Rathod, S, Mahadevaswamy, HK and Choudhary, R
(2017). Utilization of molecular and morphometric tools for assessment of genetic diversity of Rice
bean [Vigna umbellate (Thunb.)]. International Journal of Current Microbiology and Applied Sciences,
6(5): 2882-2892.
80. Meher, PK and Rao, AR (2017). A Nonparametric Regression based Computational Approval for
Prediction of Donor Splice Sites. Journal of the Indian Society of Agricultural Statistics, 71(2): 159-166.
81. Meher, PK, Sahu, TK, Banchariya, A and Rao, AR (2017). DIRProt: A computational approach for
discriminating insecticide resistant proteins from non-resistant proteins. BMC Bioinformatics, 18:190.
82. Meher, PK, Sahu, TK, Gahoi, S, and Rao, AR (2018). ir-HSP: Improved recognition of heat shock
proteins, their families and subtypes based on g-spaced di-peptide features and support vector
machine. Frontiers in Genetics, 8, 235.
83. Meher, PK, Sahu, TK, Saini, V and Rao, AR (2017). Predicting antimicrobial peptides with improved
accuracy by incorporating the compositional, physico-chemical and structural features into Chou’s
general PseAAC. Scientific Reports, 7:42362.
84. Mishra, DC, Smita, S, Singh I, Devi, MN, Kumar, S, Farooqi, MS, Chaturvedi, KK and Rai, A
(2017). Prediction of novel putative miRNAs and their targets in buffalo. Indian Journal of Animal
Sciences, 87(1): 59–63.
85. Mitra, D and Paul, RK (2017). Hybrid timeseries models for forecasting agricultural commodity
prices. Model Assisted Statistics and Applications, 12: 255–264.
86. Mitra, D, Paul, RK and Pal, S (2017). Hierarchical time-series models for forecasting oilseeds and
pulses production in India. Economic Affairs, 62 (1): 103-111.
87. Mitra, D, Paul, RK and Paul, AK (2017). Statistical modelling for forecasting volatility in potato
prices using ARFIMA-FIGARCH model. Indian Journal of Agricultural Sciences, 88 (2): 268–72.
23
88. Mitra, D, Paul, RK, Kumar, A and Panwar, S (2017). Multivariate time series model for forecasting
Urad price in different zones of India. Indian Journal of Agricultural Marketing, 31 (3): 36-41.
89. Mittal, S, Arora, K, Rao, AR, Mallikarjuna, M, Gupta, HS and Thirunavukkarasu, N (2017). Genomic
selection for drought tolerance using genome-wide SNPs in maize. Frontiers in Plant Science, 8:550.
90. Mittal, S, Mallikarjuna, MG, Rao, AR, Jain, PA and Dash, PK (2017). Comparative analysis of
CDPK family in maize, Arabidopsis, rice and sorghum revealed potential targets for drought tolerance
improvement. Frontiers in Chemistry, 5: 115.
91. Moury, PK and Ahmad, T (2017). Estimation of cotton yield at tehsil level using double sampling
approach under stratified two stage sampling design framework. International Journal of Agricultural
Science and Research, 7 (5): 249-256.
92. Mugaonkar, P, Kumar, NR, Shelar, G, Polanco, JF, Ramsubramanian, V and Biradar, RS (2017).
Case study on the nonprice factors and consumer behavior for Pangasius (Pangasianodon
hypophthalmus) (Valenciennes, 1840) consumption in Pune city, India, Fishery Technology, 54: 279 –
286.
93. Naveena, K, Singh, S, Rathod, S and Singh, A (2017). Hybrid ARIMA-ANN modelling for
forecasting the price of robusta coffee in India. International Journal of Current Microbiology and
Applied Sciences,6(7):1721-1726.
94. Nepolean, T, Sharma, R, Singh, N, Shiriga, K, Mohan, S, Mittal, S, Mittal, S, Mallikarjuna,MG, Rao,
AR, Dash, PK, Hossain, F and Gupta, HS (2017). Genomewide Expression and Functional Interactions
of Genes under Drought Stress in Maize. International Journal of Genomics, 2017, 2568706.
95. Noorzai, AU, Choudhary, AK, Rana, RS and Parsad, R (2017). Growth behaviour, productivity and
profitability of promising mungbean varieties in semi-arid region of Afghanistan. Annals of Agricultural
Research, 38(1): 78-86. http://krishi.icar.gov.in/jspui/ handle/123456789/6042.
96. Parihar, AK, Basandrai, AK, Saxena, DR, Kushwaha, KPS, Chandra, S, Sharma, K, Singha, KD,
Singh, D, Lal, HC and Gupta, S( 2017) Biplot evaluation of test environments and identification of lentil
genotypes with durable resistance to fusarium wilt in India. Crop and Pasture Science. 68(10-11):
1024-1030.
97. Parui, S, Parsad, R and Mandal, BN (2018). A-optimal completely randomized designs for
incomplete factorial structures with three factors. Statistics and Probability Letters, 137: 343-348.
98. Paul, AK, Paul, RK, Prabhakaran, VT, Singh, I and Singh, O (2017). Study of different parametric
stability measures when the basic data/variables are non-normal. Indian Journal of Agricultural
Sciences, 87 (9): 1252–1256.
24
99. Paul, NC, Sahoo, PM, Rai, A, Ahmad, T, Sahoo, RN, Krishna, G and Lal, SB (2018) Acreage
Estimation of mango orchards using hyperspectral satellite data. Indian Journal of Horticulture, 75(1):
27-33.
100. Paul, RK (2017). Modelling long memory in maximum and minimum temperature series in India.
Mausam, 68 (2):317-326.
101. Paul, RK and Anjoy, P (2017). Modeling fractionally integrated maximum temperature series in
India in presence of structural break. Theoretical and Applied Climatology, 2017:1-9.
102. Prabha, R, Singh, DP, Sinha, S, Ahmad, K and Rai, A (2017). Genome-wide comparative analysis
of codon usage bias and codon context patterns among cyanobacterial genomes. Marine Genomics,
32: 31-39.
103. Prajneshu, Ghosh, H and Pandey, NN (2017). Fitting of von Bertalanffy growth model: Stochastic
differential equation approach. Indian Journal of Fisheries, 64(3): 24-28.
104. Prakash, A, Singh, HN and Shekhawat, RS (2017). Resource Use Efficiency in Hybrid and Inbred
Rice Production in Uttarakhand. Asian Journal of Agricultural Extension, Economics and Sociology,
18(1): 1-7.
105. Prakash, A, Singh, HN, Shekhawat, RS and Sandu, S (2017). Comparative Analysis on Economic
Efficiency of Hybrid and Inbred Rice Production in Udham Singh Nagar District of Uttarakhand. Journal
of Economics, Management and Trade, 18(4): 1-7.
106. Prakash, A, Singh, HN, Shekhawat, RS and Sandu, S (2017). Constraints Faced by Farmers in
Production of Inbred and Hybrid Rice in Udham Singh Nagar District of Uttarakhand, India.
International Journal of Current Microbiology and Applied Sciences, 6(12): 2243-2247.
107. Pratheepa, M, Venkatesan, T, Gracy, G, Jalali, SK, Rangheswaran, R and Rai, A (2018). An
Integrated Molecular Database on Indian Insects. Bioinformation, 14 (2): 42.
108. Purushottama, GB, Thakurdas, Ramasubramanian, V, Dash, G, Akhilesh, KV, Ramkumar, S,
Kizhakudan, SJ, Singh, VV and Zacharia, PU (2017). Reproductive biology and diet of grey sharpnose
shark Rhizoprionodon oligolinx Springer, 1964 (Chondrichthyes:Carcharhinidae) from the north-eastern
Arabian Sea. Indian Journal of Fisheries, 64(4): 9-20.
109. Qureshi, NW, Krishnan, M, Wani, SA, Ramasubramanian, V, Sivaramane, N and
Sundaramoorthy, C (2017). Negative externalities in Kashmir lake fisheries: Transformation in species
patronage, use priorities and policy. Indian Journal of Agricultural Economics, 72(1): 89-101.
25
110. Ramasubramanian, V, Ananthan, PS, Krishnan, M and Vinay, A (2017). Technology forecasting in
fisheries sector: Cross impact analysis and substitution modeling. Journal of the Indian Society of
Agricultural Statistics, 71(3): 231–239.
111. Rathod, S, Mishra, GC and Singh, KN (2017). Hybrid time series models for forecasting banana
production in Karnataka State, India. Journal of the Indian Society of agricultural Statistics, 71(3):193-
200.
112. Rathod, S, Singh, KN, Arya, P, Ray, M, Mukherjee, A, Sinha, K, Kumar, P and Shekhawat, RS
(2017). Forecasting maize yield using ARIMA – Genetic Algorithm approach. Outlook on Agriculture,
46(4):265- 271.
113. Rathod, S, Singh, KN, Patil, SG, Naik, RH, Ray, M and Meena, VS (2018). Modeling and
forecasting of oilseed production of India through artificial intelligence techniques. The Indian Journal of
Agricultural Sciences, 88(1)22-27.
114. Rathod, S, Singh, KN, Paul, RK, Meher, SK, Mishra, GC, Gurung, B, Ray, M and Sinha, K (2017).
An improved ARFIMA model using maximum overlap discrete wavelet transform (MODWT) and ANN
for forecasting agricultural commodity price. Journal of the Indian Society of Agricultural Statistics,
71(2): 103–111.
115. Ray, M, Rai, A, Singh, KN and Ramasubramanian, V (2017). Modeling and forecasting of hybrid
rice yield using a grey model improved by the genetic algorithm. International Journal of Agricultural
and
Statistical Sciences, 13 (2): 563-566.
116. Ray, M, Rai, A, Singh, KN, Ramasubramanian, V and Kumar, A (2017). Technology forecasting
using time series intervention based trend impact analysis for wheat yield scenario in India.
Technological Forecasting and Social Change, 118: 128-133.
117. Roy, HS, Paul, RK, Bhar, LM and Kumar, A (2017). Modelling binary data by Bayesian logistic
regression with random intercepts. Journal of the Indian Society of Agricultural Statistics, 71(3): 207-
215.
118. Saha, ND, Chaudhary, A, Singh, SD, Walia, S, Das, TK, Singh, D, Pant, B, Bhowmik, A, Gurung,
B and Pathak, H (2016). Climate change variables induced soft root causing plant pathogen to produce
new quorum sensing (cell to cell communication) signals for enhanced pathogenesis. Indian
Phytopathology, 69(4): 260-265.
119. Salas, S, Ojha, SN, Ramasubramanian, V, Kumar, VP and Ananthan, PS (2017).
Entrepreneurship based empowerment among fisherwomen self help groups of Kerala, Indian Journal
of Fisheries, 64(4): 106-111.
26
120. Samanta, S, Paul, RK and Roy, A (2017). Modelling repeated measures with multiple endpoints.
Journal of the Indian Society of Agricultural Statistics, 71(2): 113–120. 121. Sarkar, KA, Jaggi, S,
Bhowmik, A, Varghese, E and Varghese, C (2017). Trend resistant neighbour balanced bipartite block
designs. Journal of the Indian Society of Agricultural Statistics, 71(1): 53-59.
122. Sarkar, S, Padaria, RN and Bhowmik, A (2017). Analyzing farmers’ vulnerability and adaptation
strategy to climate change in arid ecosystem of India. Range Management and Agroforestry, 38(1):
127-133.
123. Saurav, S, Varghese, C, Varghese, E and Jaggi, S (2017). Experimental designs for sensory trials
in two sessions. Journal of the Indian Society of Agricultural Statistics, 71(2): 121-126.
124. Saxena, R, Singh, NP, Choudhary, BB, Balaji, SJ, Paul, RK, Ahuja, U, Joshi, D, Kumar, R and
Khan, MA (2017). Can livestock sector be the game changer in enhancing the farmers’ income?
Reinvesting thrust with special focus on dairy sector. Agricultural Economics Research Review, 30: 59-
76.
125. Sharma, L, Dalal, M, Verma, RK, Kumar, SVV, Yadav, SK, Pushkar, S, Kushwaha, SR, Bhowmik,
A and Chinnusamy, V (2018). Auxin protects spikelet fertility and grain yield under drought and heat
stresses in rice. Environmental and Experimental Botany, 150: 9–24.
126. Sharma, S, Jaiswal, S and Archak, S (2017). Annotation of gene sequence and protein structure
of brinjal EDS1. Bioinformation, 13 (3): 54-59.
127. Sindhu, T, Venkatesan, T, Gracy, G Jalali, SK and Rai, A (2017). Exploring the
resistancedeveloping
mutations on ryanodine receptor in diamondback moth and binding mechanism of its activators using
computational study. Biochemical Engineering Journal, 21:59-72.
128. Singh, A and Sharma, A (2017). MAICBR: A Multi-agent Intelligent Content-Based
Recommendation System. Springer Lecture Notes in Networks and Systems, 10: 399-411.
129. Singh, A, Dass, A, Singh, CV, Dhar, S, Sudhishri, S, Das, K and Sarkar, SK (2017). Growth,
Productivity and nutrient concentration of aerobic rice (Oryza sativa L.) under different planting
methods, irrigation schedules and soil adjuvant applications. Annals of Agricultural Sciences, 38(4):
368-374.
130. Singh, D, Singh, CK, Kumari, S, Tomar,Ram Sewak Singh, Karwa, Sourabh, Singh, Rajendra,
Singh, Raja Bahadur, Sarkar, SK and Pal, M (2017). Discerning morphoanatomical, physiological and
molecular multiformity in cultivated and wild genotypes of lentil with reconciliation to salinity stress.
PLoS ONE, 12(5):e0177465.
27
131. Singh, I, Smita, S, Mishra, DC, Kumar, S, Singh, BK and Rai, A (2017). Abiotic Stress Responsive
miRNA-Target Network and Related Markers (SSR and SNP) in Brassica juncea. Frontiers in Plant
Science, 8:1943.
132. Singh, NO, Gopimohan, N, Singh, Paul, AK, Kumar, S and Gangmei, S (2017). Modelling of
Population Growth for s Seasonal Incidence of Mustart Aphid. Lipaphis erysimi. Journal of the
Indian Society of Agricultural Statistics, 71(2): 155–157.
133. Sinha, K, Gurung, B, Paul, RK, Kumar, A, Panwar, S, Alam, W, Ray, M and Rathod, S (2017).
Volatility Spill over using multivariate GARCH model: An application in futures and spot market price of
black pepper. Journal of the Indian Society of Agricultural Statistics, 71(1): 21-28.
134. Sinha, K, Panwar, S, Alam, W, Singh, KN, Gurung, B, Paul, RK and Mukherjee, A (2018). Price
volatility spillover of Indian onion markets: A comparative Study. Indian Journal of Agricultural
Sciences, 88(1):114-20.
135. Sundaram, PK, Mani, I, Kumar, A, Lande, SD, Sarkar, SK, Manjaiya, KM, Sahoo, RN And Lal, SK
(2017). Effect of liquid urea ammonium nitrate application at varying depths on root and shoot growth in
wheat (Triticum aestivum). Indian Journal Agricultural Sciences, 87 (11): 1288–94.
136. Tandon, G, Singh, S, Kaur, S, Sarika, Iquebal, MA, Rai, A and Kumar, D (2017). Computational
deciphering of biotic stress associated genes in tomato (Solanum lycopersicum). Genomics Data, 14:
82-90.
137. Verma, SK, Jasrotia, RS, Iquebal, MA, Jaiswal, S, Angadi, UB, Rai, A and Kumar, D (2017)
Deciphering genes associated with root wilt disease of coconut and development of its transcriptomic
database (CnTDB). Physiological and Molecular Plant Pathology, 100:255-263.
138. Vinay, A, Ramasubramanian, V, Azeez, PA, Kumar, R and Kumar, DK (2017). Economic analysis
of troll line fisheries in Androth, Lakshadweep, India. International Journal of Current Microbiology and
Applied Sciences, 6(11): 3172-3179.
139. Vinay, A, Ramasubramanian, V, Krishnan, M and Ananthan, PS (2018). Total factor productivity of
Tuna fisheries in Lakshadweep. Indian Journal of Geomarine Sciences, 47(2): 319-32.
140. Yashavanth, BS, Singh, KN, Paul, AK and Paul, RK (2017). Forecasting prices of coffee seeds
using Vector Autoregressive Time Series Model. Indian Journal of Agricultural Sciences, 87 (6): 754–
758.
141. Ziar, YK, Das, TK, Hakimi, AR, Shekhawat, K and Paul, AK (2017) Chemical weed management
in wheat (Triticum aestivum) under semi-aridconditions of Kandahar, Afghanistan. Indian Journal of
Agronomy, 62 (3); 359-362.
28
2018-19
1. Aditya, K., Bhowmik, A., Biswas, A. and Das, S. (2018). Calibration estimators under two stage
sampling design when population level auxiliary information was not available. Journal of the Society
for Application of Statistics in Agriculture and Allied Sciences-Rashi, 2(2): 01-06.
2. Aditya, K., Chandra, H., Bharadwaj, A. and Rama. (2018). Development of software for digitization of
collected data under a pilot study to estimate crop area and production based on the sample sizes
recommended by professor Vaidyanathan committee report. Journal of the Indian Society of
Agricultural Statistics, 72(1):15-26.
3. Aditya, K., Chandra, H., Sud, U.C. and Gupta, A.K. (2018). Estimation of seed feed wastage ratio of
major food grain crops in Odisha. Journal of the Indian Society of Agricultural Statistics, 72(3):201-204.
4. Ahirwar, R. N., Mishra, V. K., Chand, R., Budhlakoti, N., Mishra, D.C., Kumar, S., Singh, S. and
Joshi, A. K. (2018). Genome-wide association mapping of spot blotch resistance in wheat association
mapping initiative (WAMI) panel of spring wheat (Triticum aestivum L.). PLoS ONE, 13(12): e0208196.
5. Alam, W., Ray, M., Kumar, R. R., Sinha, K., Rathod, S. and Singh, K. N. (2018). Improved ARIMAX
model based on ANN and SVM approaches for forecasting rice yield using weather variables. Indian
Journal of Agricultural Sciences, 88 (12): 1909-1913. 6. Alam, W., Sinha, K., Kumar, R. R., Ray, M.,
Rathod, S., Singh, K.N. and Arya, P. (2018). Hybrid linear time series approach for long term
forecasting of crop yield. Indian Journal of Agricultural Sciences, 88 (8): 1275-1279.
7. Anjoy, P., Chandra, H. and Basak, P. (2018). Estimation of disaggregate-level poverty incidence in
Odisha under area-level hierarchical bayes small area model. Social Indicators Research, 144(1): 251-
273.
8. Anokhe, A., Mandel, B., Kumar, R., Sharma, K., Ranjan, R. and Subramanian, S. (2018).
Biochemical charecterisation of lipase in host specific Bemisia tabaci (Gennadius) (Hemiptera:
Aleyrodidae) population collected from different agro ecological zone. Journal of Entomology and
Zoology Studies, 6(6): 1304- 1310.
9. Anuja, A. R., Kar, A., Kumar, P., Jha, G. K. and Singh, B. K. (2018). Analysis of factors triggering
distress migration in Bundelkhand region of central India. Economic Affairs, 63(4): 1061-1065.
10. Arora, S., Sehgal, M., Srivastava, D. S., Arora, S. and Sarkar, S. K. (2019). Rice pest management with
reduced risk pesticides in India. Environmental Monitoring and Assessment, 191: 241.
http://krishi.icar.gov.in/
jspui/handle/123456789/17706
11. Aswal, K., Jaggi, S., Varghese, E. and Varghese, C. (2018). Neighbour balanced designs for diallel
cros experiments. Journal of the Indian Society of Agricultural Statistics, 72(2): 89-96.
29
12. Baffour, B., Chandra, H. and Martinez, A. (2019). Localised estimates of dynamics of
multidimensional disadvantage: an application of the small area estimation technique using Australian
survey and census data. International Statistical Review, 87(1): 1-23.
13. Baliwada H., Sharma, J.P., Burman R.R., Nain, M.S., Venkatesh, P. and Kumar A. (2017).
Economic imapct assessment of farmer- led innovations. International Journal of Agriculture
Innovations and Research, 6(1): 14-18. http://krishi.icar.gov.in/jspui/ handle/123456789/11863
14. Basak, P., Sud, U. C., and Chandra, H. (2018). Calibration estimation of regression coefficient
for two-stage sampling design using single auxiliary variable. Journal of the Indian Societyof
Agricultural Statistics, 72 (1): 1-6.
15. Bhar, L.M., Ramasubramanian V, Arora, A., Marwaha, S. and Parsad, R. (2019). Era of Artificial
Intelligence: prospects for Indian Agriculture. Indian Farming, 69(03): 10-13.
http://krishi.icar.gov.in/jspui/ handle/123456789/19207
16. Bijarniya H., Khura, T. K., Mani, I., Kushwaha, H. L., Lande, S. D. and Sarkar, S. K. (2019).
Development of liquid urea ammonium nitrate fertilizer foliar application system for enhanced
nutrient use efficiency. Indian Journal of Agricultural Sciences, 89(1): 22-27.
17. Biswas, A., Rai, A. and Ahmad, T. (2018). Rescaling bootstrap technique for variance estimation for
ranked set samples in finite population. Communications in Statistics- Simulation and Computation, 1-
15.
18. Budhlakoti, N., Mishra, D. C., Rai, A., Lal, S. B. Chaturvedi, K. K. and Kumar, R. R. (2019). A
comparative study of single trait and multi trait genomic selection. Journal of Computational Biology,
26:1-13.
19. Chakraborty, D., Sehgal, V. K., Dhakar, R., Varghese, E., Das, D. K. and Ray, M. (2018). Changes
in daily maximum temperature extremes across India over 1951-2014 and their relation with cereal
crop productivity. Stochastic Environmental Research and Risk Assessment, 32 (11); 3067-3081
20. Chandra, H. (2018). Localised estimates of incidence of indebtedness in rural households by
combining survey and census data- an application of small area estimation technique. Agricultural
Economics Research Review. 31(1): 29-44.
21. Chandra, H., Aditya, K. and Kumar, S. (2018). Small area estimation under a log transformed area
level model. Journal of Statistical Theory and Practice, 12(3): 497-505.
22. Chandra, H., Aditya, K. and Sud, U. C. (2018). Localised estimates and spatial mapping of poverty
incidence in the state of Bihar in India-an application of small area estimation techniques. PloS one,
13(6): e0198502.
23. Chandra, H., Salvati, N. and Chambers, R. (2018). Small area estimation under a spatially
non-linear model. Computational Statistics and Data Analysis, 126: 19–38.
30
24. Choudhary, K., Jha, G. K., Das, P., Chaturvedi, K. K. (2019). Forecasting potato price using
ensemble artificial neural networks. Indian Journal of Extension Education, 55(1):73-77.
25. Dalal, M., Sahu, S., Tiwari, S., Rao, A. R. and Gaikwad, K. (2018). Transcriptome analysis
reveals interplay between hormones, ROS metabolism and cell wall biosynthesis for drought-induced
root growth in wheat. Plant Physiology and Biochemistry, 130: 482-492.
26. Das, B., Sahoo, R. N., Biswas, A., Pargal, S., Krishna, G., Verma, R., Chinnusamy, V., Sehgal, V.
K. and Gupta, V. K. (2018). Discrimination of rice genotypes using field spectroradiometry. Geocarto
International, 1-28. https://www.tandfonline.com/doi/abs/10.1080/10106049.2018.1506507
27. Das, K., Pooniya, V., Choudhary, A. K., Swarnalakshmi, K., Bana, R. S., Parihar, C. M., and
Sarkar, S. K. (2018). Effect of integrated crop management modules on crop productivity and soil
physico–chemical and biological properties under direct-seeded basmati rice (Orzya sativa). Indian
Journal of Agricultural Sciences, 88 (7): 1142–1146. http://krishi.icar.gov.in/jspui/handle
/123456789/18708
28. Das, R., Arora, V., Jaiswal, S., Iquebal, M. A., Angadi, U. B., Singh, R., Shil, S., Rai, A. and Kumar
D. (2018). PolyMorphPredict: Web server for rapid polymorphic SSR locus discovery from whole
genome and transcriptome data. Frontiers in Plant Sciences, 9.
29. Das, S., Chandra, H. and Chambers, R. (2018). Robust mean squared error estimation for the ELL
based poverty estimates under heteroskedasticity - An application to poverty estimation in Bangladesh.
Statistics and Applications, 16 (1): 375‒397.
30. Das, S., Chandra, H., and Saha, U. R. (2019). District level prevalence of diarrhea disease among
under-five children in Bangladesh: an application of small area estimation approach. PLoS ONE, 14(2):
e0211062.
31. Das, S., Kumar, N., Das, R. and Aditya, K. (2019) Long term impact of nutrient management
options on yield, and nutrient uptake by soybean and soil properties under soybean (Glycine max)-
wheat (Triticum aestivum) cropping system in the Indian Himalayas. Indian Journal of Agricultural
Sciences, 89(3): 406-414.
32. Das, S., Rai, A., Mishra, D. C., Rai, S. N. (2018). Statistical approach for selection of biologically
informative genes. Gene. 655: 71- 83.
33. Dasgupta, P., Ahmad, T., Biswas, A. and Rai, A. (2018). A dual frame approach for estimating finite
population total using ranked set sampling. International Journal of Agricultural and Statistical
Sciences, 14(1): 409-418.
34. Dash, Sachikanta. and Dash, Sukanta. (2018). A new approach using template matching for
recognition of handwritten odia text, Journal of the Indian Society of Agricultural Statistics, 72(1): 77–
82. http://krishi.icar.gov.in/jspui/ handle/123456789/20243
31
35. Deb C.K., Saket K., Das, M. and Marwaha, S. (2018). Microbial Taxonomy Ontology for
Agriculturally Important Microorganisms (AMO) Coupled with Sequence Alignment Reinforcement
Options. International Journal of Current Microbiology and Applied Science, 7(4): 3154-3166.
36. Farooqi, M. S. and Kumar, D. (2018). Moment generating functions of generalized exponential
distribution based on lower generalized order statistics. International Journal of Agricultural and
Statistical Sciences, 14 (1): 165-174.
37. Farooqi, M. S. and Kumar, D. (2018). On dagum distribution based on dual generalized order
statistics with applications. International Journal of Agricultural and Statistical Sciences, 14(2): 833-841.
38. Gautam, P., Ananthan, P.S., Ramasubramanian, V., Sharma, A. and Jha, B.C. (2018). An
assessment of fisheries and management in Rihand reservoir, Uttar Pradesh. Current Agriculture
Research Journal, 6(3):1-12. http://krishi.icar.gov.in/ jspui/handle/123456789/20980
39. Ghosh, H. and Prajneshu. (2018). Gompertz stochastic differential equation grwoth model with
exogenous variables and time-dependent diffusion. Journal of the Indian Society of Agricultural
Statistics, 72(2): 97-104.
40. Gopinath, P. P., Parsad, R. and Mandal, B. N. (2018) Two-dimensional balanced sampling plans
excluding adjacent units under sharing a border and island adjacency schemes. Communications in
Statistics - Simulation and Computation, 47(3): 712-720. http://krishi.icargov.in/jspui/handle/
123456789/6079
41. Gopinath, PP, Parsad, R and Mandal BN (2018). Incomplete row-column designs with factorial
treatment structure for estimating main effects with full efficiency, Communications in Statistics-Theory
and Methods, 47(18): 4493-4502. http://krishi.icar.gov.in/jspui/ handle/123456789/6113
42. Guha, S., Sud, U.C. and Chandra, H. (2018). Calibration approach based chain ratio type and
chain product type estimators in two phase sampling involving two auxiliary variables. Journal of
Statistical Theory and Practice, 12(2):188-205.
43. Gupta, M. C., Sharma, A. K., Singh, A. K., Roy, H. S. and Bhadauria, S. S. (2018). Assessment
of genetic divergence in thirty-five genotypes of oilseed Brassica species. Journal of Pharmacognosy
and Phytochemistry, 7(6): 2076-2080.
44. Gupta, M.C., Sharma, A.K., Singh, A.K., Roy, H. S., Bhadauria, S.S. (2019). Assessment of genetic
diversity in thirty-five genotypes of oilseed Brassica species using principal component analysis.
International Journal of Current Microbiology and Applied Sciences, 8(1): 378-386
45. Gurjar M.S., Kumar, R. Sing, D. and Bag, T.K. (2018). Development of fungicides spray schedule to
manage the late blight of potato in north eastern Himalayan region of India. Indian Phytopathology,
71(4): 504-512.
32
46. Hanumanthaiah, R., Singh, A., Rathod, S. and Paul, R. K. (2018). Wavelet analysis for forecasting
prices and arrivals of black pepper in Karnataka, India. International Journal of Current Microbiology
and Applied Sciences, 7(5): 677-687.
47. Hukam, C., Rawal, S. V., Mithra, A., Arora, K., Kumar, V., Goel, N., Mishra, D. C., Chaturvedi,
K. K, Rai, A., Devi, S. V., Sharma, T. R. and Solanke, A. U. (2018). Genome-wide analysis in wild and
cultivated oryza species reveals abundance of NBS genes in progenitors of cultivated rice. Plant
Molecular Biology Reporter, 36(3): 373–386.
48. Islam S.N. and Mishra Rahul in (2019). “Expert System Shell as a Variety Selection Framework for
Multiple Cereal Crops, Annals of Agricultural Research in New Series, 40 (1): 68-76.
49. Islam, S. and Chandra, H. (2019). Small domain inference combining data from two independent
surveys. Journal of the Indian Society of Agricultural Statistics, 73(1): 67–77.
50. Islam, S., Chandra, H., Aditya, K. and Lal, S. B. (2018). Small area estimation under a spatial
model using data from two surveys. International Journal of Agricultural and Statistical Science, 14(1):
231-237.
51. Islam, S., Sharma, A. K., Farooqi, M. S. and Chaturvedi, K. K. (2018). Diagnosing wheat disease
using expert system. Journal of Indian Society of Agricultural Statistics, 72(3): 255- 259.
52. Islam,S., Chandra, H., Sud, U.C., Guha, S. and Basak, P. (2019). Calibration approach for
estimation of population ratio under double sampling. Journal of the Indian Society of Agricultural
Statistics, 73(1): 23–29.
53. Jaggi, S., Pateria, D. K., Varghese, C., Varghese, E. and Bhowmik, A. (2018). A note on circular
neighbor balanced designs. Communications in Statistics – Simulation and Computation, 47(10): 2896-
2905. http://krishi. icar.gov.in/jspui/handle/123456789/14378
54. Jaiswal, S., Iquebal, M. A., Arora, V., Angadi, U. B., Khokar, R. S., Sharma, P., Sheoran, S., Singh,
G. P., Rai, A., Kumar, T. and Ratan, D. (2019). Development of species specific putative miRNA and its
target prediction tool in wheat (Triticum aestivum L.). Scientific Reports, 9, 3790.
55. Jaiswal, S., Jadhav, P. V., Jasrotia, R. S., Kale, P. B., Kad, S. K., Moharil, M. P., Dudhare, M. S.,
Deshmukh, A. G., Mane, S. S., Nandanwar, R. S., Penna, S., Manjaya, J. G., Iquebal, M. A., Tomar, R.
S., Rai, A. and Kumar, D. (2018). Transcriptomic signature reveals mechanism of flower bud distortion
in witches’-broom disease of soybean (Glycine max). BMC Plant Biology, 19:26.
56. Jerome, A., Bhati, J., Mishra, D. C., Chaturvedi, K. K., Rao, A. R., Rai A., Sikka P. and Singh, I.
(2019). MicroRNA-related markers associated with corpus luteum tropism in buffalo (Bubalus bubalis).
Genomics. https:// www.sciencedirect.com/science/article/pii/ S0888754318303173?via%3Dihub
33
57. Khatal, S., Ali, Aba., Hasan, S., Singh, M., Mishra, D. K., Kumar, A. and Iquebal, M. A. (2018).
Assessment of groundwater recharge in a small ravine watershed in semi-arid region of india.
International Journal of Current Microbiology and Applied Sciences, 7(2): 2552-2565.
58. Kour, Shitap, M. S., Pradhan, U. K., Paul, R. K., Arya, P. and Kumar, A. (2018). Forecasting of rice
yield based on weather parameters in kheda district of Gujarat, India. International Journal of
Agricultural and Statistical Sciences, 14(2): 611-615.
59. Krishna, D. K., Kumbhare, N. V., Padaria, R. N., Singh, P. and Bhowmik, A. (2016). Content
analysis and comparative study of good management practices followed by community radio stations.
International Journal of Agriculture Sciences, 10(12): 6485-6488. http://krishi.icar.gov.in/jspui/
handle/123456789/19281
60. Krishna, G., Sahoo R. N., Pradhan S., Ahmad T., Sahoo P. M. (2018) Hyperspectral satellite data
analysis for pure pixels extraction and evaluation of advanced classifier algorithms for LULC
classification. Earth Science Informatics, 11(2):159-170.
61. Krishna, G., Sahoo, R. N., Singh, P., Bajpai, V., Patra, H., Kumar, S., Dandapani, R., Gupta, V.K.,
Viswanathan, C., Ahmad, T. and Sahoo, P. M. (2019). Comparison of various modelling approaches for
water deficit stress monitoring in rice crop through hyperspectral remote sensing. Agricultural Water
Management, 213: 231-244.
62. Kshandakar, S., Verma, M. R., Singh, Y., Kumar, S. and Paul, A. K. (2018). Effect of clinical
mastitis on lactation curves of Murrah buffaloes. Indian Journal of Animal Sciences, 88(5): 585-592.
63. Kumar, A., Farooqi, M. S., Mishra, D. C., Kumar, S., Rai, A., Chaturvedi, K. K., Lal, S. B. and
Sharma, A. (2018). Prediction of miRNA and identification of their relationship network related to late
blight disease of potato. Microrna, 7(1):11-19.
64. Kumar, A., Kumar, M., Ray, M., Kumar, A., Kumari, S. and Bhargaw, P. K. (2018). Validity test of
forecast error of wheat yield through non-linear growth models in Bihar. International Journal of Current
Microbiology and Applied Sciences, 7(11): 321-326.
65. Kumar, A., Singh, M. P., Dash, S., Dash, Sachikanta, and Panwar, S. (2018). An application of
weibull process in reliability theory. Journal of the Indian Society of Agricultural Statistics, 72(2): 157–
163. http://krishi.icar. gov.in/jspui/handle/123456789/20296
66. Kumar, D. K., Ramasubramanian, V., Nisar, U., Kumar, R. S. and Vinay, A. (2018). Parity in socio-
economic status of fishers and primary producers of coastal India. Indian Journal of Economics and
Development, 6(8): 2320-9836. http://krishi.icar.gov.in/jspui/ handle/123456789/20981
67. Kumar, J., Saripalli, G., Gahlaut, V., Goel, N., Meher, P.K., Mishra, K.K., Mishra, P.C., Sehgal, D.,
Vikram, P., Sansaloni, C., Singh, S., Sharma, P.K., Gupta, P.K. (2019). Genetics of Fe, Zn, β-carotene,
34
GPC and yield traits in bread wheat (Triticum aestivum L.) using multi-locus and multi-traits GWAS.
Euphytica, 214:219
68. Kumar, M., Sarangi, A., Singh, D. K. and Rao, A. R. (2018). Modelling the grain yield of wheat in
irrigated saline environment with foliar potassium fertilization. Agricultural Research, 7(3): 321-337.
69. Kumar, P., Bhar, L. M., Paul, A. K., Das, S. and Roy, H. S. (2018). Development of composite
stability measure using multi criteria decisions making (MCDM) Techniques. Journal of the Indian
Society of Agricultural Statistics, 72(2): 121-128.
70. Kumar, P., Kumar, A., Panwar, S., Dash, S., Sinha, K. and Ray, M. (2018). Role of big data in
agriculture-a statistical prospective. Annals of Agricultural Research, 39(2): 210-215. http://krishi.icar.
gov.in/jspui/handle/123456789/20273
71. Kumar, P., Lal, K., Mukherjee, A., Pradhan, U. K., Ray, M. and Prakash, O. (2018). Advanced row-
column designs for animal feed experiments. The Indian Journal of Animal Sciences, 88(4): 499-503.
72. Kumar, R. R., Goswami, S., Singh, K., Dubey, K., Rai, G. K., Singh, B., Singh, S., Grover, M.,
Mishra D., Kumar, S., Bakshi, S., Rai, A., Pathak, H., Chinnusamy, V., Praveen, S. (2018).
Characterization of novel heatresponsive transcription factor (TaHSFA6e) gene involved in regulation
of heat shock proteins (HSPs) - A key member of heat stress-tolerance network of wheat. Journal of
Biotechnology, 279: 1-12.
73. Kumar, R. R., Singh, K., Ahuja, S., Tasleem, M., Singh, I., Kumar, S., Grover, M., Mishra, D., Rai,
G. K., Goswami, S., Singh G. P. Chinnusamy, V., Rai, A. and Praveen, S. (2018). Quantitative
proteomic analysis reveals novel stress-associated active proteins (SAAPs) and pathways involved in
modulating tolerance of wheat under terminal heat. Functional & Integrative Genomics, 19(2): 329–348.
74. Kumar, S., Sangeetha, V., Singh, P., Burman, R. R. and Bhowmik, A. (2017). Perceived utility and
users’ satisfaction about information provided by rice knowledge management portal (RKMP). Journal
of Global Communication, 10(2): 122-127.
75. Kumar, S., Sangeetha, V., Singh, P., Burman, R. R. and Bhowmik, A. (2017). Stakeholders’
perception about content and design of rice knowledge management portal (RKMP). Journal of
Pharmacognosy and Phytochemistry, 6(6): 2215-2219.
76. Kumar, S., Sangeetha, V., Singh, P., Burman, R. R. and Bhowmik, A. (2017). Constraints
experienced by agricultural scientists and extension personnel in rice knowledge management and
delivery: a case of Rice Knowledge Management Portal (RKMP). Indian Journal of Economics and
Development, 5(11): 1-8. http://krishi.icar.gov. in/jspui/handle/123456789/6055
77. Kumar, S., Sangeetha, V., Singh, P., Burman, R. R. and Bhowmik, A. (2018). Constraints
experienced by agricultural scientists and extension personnel in rice knowledge management and its
delivery. Journal of Krishi Vigyan, 6(2), 22-26. http://krishi.icar.gov.in/ jspui/handle/123456789/6056
35
78. Kumar, S., Sangeetha, V., Singh, P., Burman, R. R., Bhowmik, A. and Kumar, S. A. (2018).
Constraints faced by farmers in utilizing rice related information through rice knowledge management
portal (RKMP). Indian Journal of Extension Education, 53(1): 84-89. http://krishi.
icar.gov.in/jspui/handle/123456789/19274
79. Kumar, S., Sangeetha, V., Singh, P., Burman, R. R., Bhowmik, A. and Meera, S. N. (2018).
Stakeholders’ information needs, information searching and sharing behaviour about rice related
information through rice knowledge management portal. International Journal of Current Microbiology
and Applied Sciences, 7(1): 3001-3015.
80. Kumar, S., Shiva Dhar., Yadav, R. S., Chandrakala, M., Kochewad, S. A., Meena, L. R., Meena, L.
K., Magan Singh., and Arpan Bhowmik. (2018). Effect of integrated k management on productivity and
nutrient use efficiency of maize-wheat cropping system. International Journal of Current Microbiology
and Applied Sciences, 7(08): 1052-1061.
81. Kumari, R., Singh, K., Jha, S. K., Singh, R. Sarkar, S. K. and Bhatia, N. (2018) Nutritional
composition and popping characteristics of some selected varieties of pearl millet (Pennisetum
glaucum). Indian Journal of Agricultural Sciences, 88(8): 1222–1226. http://krishi.icar.gov.in/jspui/
handle/123456789/17936
82. Kumari, V., Chandra, H. and Bhar, L.M. (2018). Calibration estimator of regression coefficient using
two auxiliary variables. Journal of Indian Society of Agricultural Statistics, 72(3): 193- 199.
83. Lall, S., Jaggi, S., Varghese, E., Bhowmik, A. and Varghese, C. (2018). Designs for fitting Poisson
regression model. Journal of Crop and Weed, 14(1): 117-121. http://krishi.icar.
gov.in/jspui/handle/123456789/6075
84. Lall, S., Jaggi, S., Varghese, E., Varghese, C. and Bhowmik, A. (2018). D-optimal designs for
exponential and Poisson regression models. Journal of the Indian Society of agricultural Statistics,
72(1): 27–32. http://krishi.icar.gov. in/jspui/handle/123456789/6053
85. Lama, A., Singh, K. N., Sinha, K., Shekhawat, R. S, Md. Yeasin. and Gurung, B. (2019). Modelling
transmission of potato price volatility in West Bengal markets: MGARCH approach. RASHI, 3(1): 33-
38.
86. Mahalingaraya, Rathod, S., Sinha, K., Shekhawat, R.S. and Chavan, S. (2018). Statistical modeling
and forecasting of total fish production of india: a time series perspective. International Journal of
Current Microbiology and Applied Sciences, 7(03): 1698-1707.
87. Mandal, B. N., Parsad, R. and Dash, S. (2018). Construction of a-optimal balanced treatment
incomplete block designs: an algorithmic approach, Communications in Statistics - Simulation and
Computation. 1-2
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88. Maragal, S. Y., Singh, A. K., Behera, T. K., Munshi, A. D., Dash, S. and Pachauri, N. (2018). Effect
of planting time and fertilizer dose on growth, yield and quality of bitter gourd grown under polyhouse
and net house conditions. Indian Journal of Horticulture, 75(3): 463-469. http://krishi.icar.
gov.in/jspui/handle/123456789/20297
89. Meher, P. K., Sahu, T. K., Gahoi, S., Tomar, R. and Rao, A. R. (2018). funbarRF: DNA barcode-
based fungal species prediction using multiclass Random Forest supervised learning model. BMC
Genetics, 20:2.
90. Meher, P. K., Sahu, T. K., Mohanty, J., Gahoi, S., Purru, S., Grover, M. and Rao, A. R. (2018).
nifPred: Proteome-wide identification and categorization of nitrogen-fixation proteins of diaztrophs
based on composition-transitiondistribution features using support vector machine. Frontiers in
Microbiology, 9:1100.
91. Meher, P. K., Sahu, T. K., Raghunandan, K., Gahoi, S., Choudhary, N. K. and Rao, A. R. (2018).
HRGPred: Prediction of herbicide resistant genes with k-mer nucleotide compositional features and
support vector machine. Scientific Reports, 9: 778.
92. Mishra D. C., Kumar, S., Lal, S. B., Saha, A., Chaturvedi, K. K., Budhlakoti, N. and Rai, A. (2018).
TAGPT: A web server for prediction of trait associated genes using gene expression data. Annals of
Genetics and Genetic Disorders, 1(1): 1003.
93. Misra, T., Priyadarshini, S., Arora, A., Marwaha, S., Roy, H. S. and Ray, M. (2018). A comparative
study of chlorophyll content estimation techniques through image analysis, Journal of Crop and Weed.
14(3):165-168
94. Mitra, D., Paul, R. K., Paul, A. K. and Bhar, L. M. (2018). Forecasting time-series allowing for long
memmory and structural break. Journal of Indian Society of Agricultural Statistics, 72(1): 49-60.
95. Mittal, S., Banduni, P., Mallikarjuna, M. G., Rao, A. R., Jain, P. A., Dash, P. and Nepolean, T.
(2018). Structural, functional and evolutionary characterization of major drought transcription factors
families in maize. Frontiers in Chemistry: Agricultural Biological Chemistry, 6:177.
96. Mondal, S., Das A., Pradhan S., Tomar, R. K., Behera, U. K., Sharma, A. R., Paul, A. K. and
Chakraborty, D. (2018). Impact of tillage and residue management on water and thermal regimes of a
sandy loam soil under pigeonpeawheat cropping system. Journal of the Indian Society of Soil Science,
66(1): 40-52.
97. Mozafari, S. H., Dass, A., Choudhary, A. K., Singh, T. and Sarkar, S. K. (2018). Influence of
moisture conservation and integrated nutrient management on growth and productivity of summer
maize in southern Afghanistan. Annals of Agricultural Sciences, 39(4): 354-360.
ttp://krishi.icar.gov.in/jspui/ handle/123456789/18709
98. Mukherjee, A., Singh, P., Ray, M., Satyapriya. and Burman, R. B. (2018). Enhancing farmers
income through farmers producers companies in India: status and roadmap. Indian Journal of
Agricultural Sciences, 88 (8): 1151-1161.
37
99. Mukherjee, S., Mukherjee, A., Jasrotia R. S., Jaiswal, S., Iquebal, M. A., Longkumer, I., Mech, M.,
Vupru, K., Khate, K., Rajkhowa, C., Rai, A. and Kumar, D. (2019). Muscle transcriptome signature and
gene regulatory network in two divergent lines of a semi-domesticated bovine Mithun (Bos frontalis).
Genomics, https:// www.sciencedirect.com/science/article/pii/ S0888754318305172?via%3Dihub
100. Nigam, A. K., Tiwari, N. and Mandal, B. N. (2018). Controlled sampling: A review. Statistics and
Applications, 16(1): 145-169.
101. Pandirwar, A. P., Kumar, A., Mani, I., Gaikwad, B. B., Sawant, C. P. and Bhowmik, A. (2018). Soil
Bin studies on plug and finger-type onion seedling transplanting mechanisms. Journal of Agricultural
Engineering, 55(1): 1-14.
102. Panwar, S., Kumar, A., Singh, K. N., Sarkar, S. K., Gurung, B. and Rathore, A. (2018). Growth
modelling and forecasting of common carp and silver carp in culture ponds: A reparametrisation
approach. Indian Journal of Fisheries, 65(3): 99-104.
103. Panwar, S., Kumar, A., Singh, K.N., Paul, R.K., Gurung, B., Ranjan, R., Alam, N.M., Rathore, A.
(2018). Forecasting of crop yield using weather parameters–two step nonlinear regression model
approach. Indian Journal of Agricultural Sciences, 88(10): 117-119.
104. Pardhi, R., Singh, R. and Paul, R.K. (2018). Price Forecasting of Mango in Varanasi Market of
Uttar Pradesh. Current Agriculture Research Journal, 6(2): 218-224.
105. Parihar, A. K., Basandrai, A. J., Kushwaha, A.K., Chandra K. P. S., Singha, S., Bal, K. D.,Saxena,
R. S., Singh, D. and Gupta, S. (2018).Targeting test environments and rust-resistant genotypes in
lentils (Lens culinaris) by using heritability-adjusted biplot analysis. Crop & Pasture Science, 69: 1113–
1125.
106. Paul, N. C., Sahoo, P. M., Sahoo, R. N., Das, B., Biswas, A., Krishna, G., Rai, A., and Ahmad, T.
(2018). Comparative evaluation between multispectral and hyperspectral data for discrimination of fruit
crops using statistical techniques. Journal of the Indian Society of Agricultural Statistics, 72(3): 187-
191.
107. Paul, N.C., Sahoo, P.M., Ahmad, T., Sahoo, R.N., Krishna, G. and Lal, S.B. (2018) Acreage
estimation of mango orchards using hyperspectral satellite data. Indian Journal of Horticulture,
75(1):27-33.
108. Paul, R., Arya, P. and Kumar, S. (2019). Use of Artificial Intelligence in Statistical Research.
Indian Farming ( Special Issue on Artificial Intelligence in Agriculture). 69(3): 28-31.
109. Prajapat, R. K., Singh, P., Tiwari, P., Mainkar, P., Sahu, S., Rao, A. R. and Kansal, R. (2018). In
Silico Analysis and molecular docking studies of Cajanus cajan Lectin against aminopeptidase-n
receptor from Acyrthosiphon pisum. International Journal of Current Microbiology and Applied
Sciences, 7(06): 959-967.
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110. Pratheepa, M., Venkatesan, T., Gracy, G., Jalali, S. K., Rangheswaran, R., Antony, J. C. and Rai,
A. (2018). An integrated molecular database on Indian insects. Bioinformation, 14(2): 42-47 (2018).
111. Purru, S., Sahu, S., Rai, S., Rao, A. R. and Bhat, K. V. (2018). GinMicrosatDb: a genomewide
microsatellite markers database for sesame (Sesamum indicum L.). Physiology and Molecular Biology
of Plants, 24(5):929-937.
112. Qureshi, N. W., Krishnan, M., Wani, S. A., Ramasubramanian, V., Sivaramane, N. and
Sundaramoorthy, N. (2018). Does information change attitudes? The case of restoration of indigenous
fishery in Dal Lake, Kashmir, India. Indian Journal of Fisheries, 65(2): 113-118.
http://krishi.icar.gov.in/jspui/ handle/123456789/8810
113. Rajaiah, P., Mani, I., Kumar, A., Lande, S. D., Parray, R. A., Singh, A. K. and Varghese, C. (2018).
Comaprative study of mechanical and electronic paddy planter for direct seeding. International Journal
of Current Microbiology and Applied Sciences, 7(9): 1284-1294.
114. Rathod, S., Singh, K. N., Gurung, B. and Ray, M. (2018). An improved space time autoregressive
moving average model for Modeling and Forecasting spatio-temporal time series data. Journal of the
Indian Society of Agricultural Statistics, 72 (3): 239-253.
115. Rawal, H., Amitha, M. S. V., Goel N., Mishra, D. C., Chaturvedi, K. K., Sharma, T. R. and Solanke,
A. U. (2018) Genome-wide analysis in wild and cultivated oryza species reveals abundance of NBS
genes in progenitors of cultivated rice. Plant Molecular Biology Reporter, 36(3), 373–386.
116. Saha, S., Kailia, P. and Sarkar, S. K. (2018). Evaluation of lettuce genotypes for mineral content.
Indian Journal of Horticulture. 75(4): 613-618. http://krishi.icar.gov.in/jspui/ handle/123456789/17935
117. Sahu, S., Rao, A. R., Pandey, J., Gaikwad, K., Ghoshal, S. and Mohapatra, T. (2018). Genome-
wide identification and characterization of lncRNAs and miRNAs in cluster bean (Cyamopsis
tetragonoloba). Gene, 667: 112-121.
118. Sahu, T. K., Pradhan, D., Rao, A. R. and Jena,L. (2018). In silico site-directed mutagenesis of
neutralizing monoclonal antibody 4C4 and analysis of its interaction with G-H loop of VP1 protein to
explore its therapeutic applications against foot and mouth disease. Journal of Biomolecular Structure
and Dynamics, 37(10):2641-2651.
119. Saravanakumar, R., Jain, R., Arora, A. and Marwaha, S. (2018). Knowledge Engineering
for Apportioning District Level Data in Agriculture. Journal of the Indian Society of Agricultural Statistics,
72(2): 165-174.
120. Saurav, S, Varghese, C, Varghese, E and Jaggi, S (2018). Designs for sensory trials involving
foods of animal origin. The Pharma Innovation Journal, 7(11): 405-408.
http://krishi.icar.gov.in/jspui/handle/123456789/14582
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121. Sethy, S., Singh, B. K., Singh, P., Sharma, N.,Burman, R. R., Dash, S. (2018). Constraints in
developing a model village. Journal of Community Mobilization and Sustainable Development, 13 (2):
343-346. http://krishi.icar.gov.in/jspui/handle/123456789/20298
122. Sharath S. Y., Kumar, Shiv., Kar, Amit. And Prawin, Arya. (2019). Econometric analysis of import
demand of pulses in India. Journal of Pharmacognosy and Phytochemistry, 2(8):131-135.
123. Sharma, D., Tiwari, A., Sood, S., Jamra, G., Singh, N. K., Meher, P. K. and Kumar, A. (2018).
Genome wide association mapping of agro-morphological traits among a diverse collection of finger
millet (Eleusine coracana L.) genotypes using SNP markers. PLoS ONE, 13(8): e0199444.
124. Sharma, N., Sinha, V.B., Gupta, N., Rajpal, S., Kuchi, S., Sitaramam, V., Parsad, R. and
Raghuram, N. (2018). Phenotyping for nitrogen use efficiency (NUE) I: Rice genotypes differ in N-
responsive germination, oxygen consumption, seed urease activities, root growth, crop duration and
yield at low N. Frontiers in Plant Science, 9(1452): 1-16.
http://krishi.icar.gov.in/jspui/handle/123456789/17940
125. Sharma, P., Samkumar, A., Rao, M., Singh, V. V., Prasad, L., Mishra, D. C., Bhattacharya, R. and
Gupta, N. C. (2018) Genetic diversity studies based on morphological variability, pathogenicity and
molecular phylogeny of the Sclerotinia sclerotiorum population from Indian mustard (Brassica juncea).
Frontiers in Microbiology, 9:1169.
126. Sharma, S. R., Parihar, A. K., Singh, D., Varshney, N., Lal, C., Sharma, V. and Khedar, O. P.
(2018). Genetic components and traits relationship in a panel of Black gram [Vigna mungo (L.) Hepper]
diverse genotypes. Journal of Food Legumes 31(1): 10-14.
127. Sharma, S.R., Singh, S., Gill R.K., Kumar R. and Parihar, A.K. (2018). Selection of promising
genotypes of lentil (Lens culinaris Medik.) by deciphering genetic diversity and trait association.
Legume Research. 10.18805/LR-4056.
128. Shekhawat, R. S., Singh, K. N., Kumar, A., Sarkar, K. P., Doni, R. and Gurung, B. (2018).
Stochastic volatility in mean model for capturing the conditional variance in volatile time series data,
Indian Journal of Agricultural Science, 88(10): 1644-1647.
129. Shekhawat, R. S., Singh, K. N., Lama, A. and Gurung, B. (2018). Price discovery and
cointegration analysis between spot and futures prices of refined soy oil in India. International Journal
of Current Microbiology and Applied Sciences, 7(11): 40-46.
130. Shekhawat, R.S. and Burark, S.S. (2019). Inter-district variation in agricultural and infrastructural
development in the Rajasthan: A composite index approach. Indian Journal of Economics and
Development, 15(1): 155-159.
131. Shukla, A. K., Sinha, N. K., Tiwari, P. K., Prakash, C., Behera, S. K., Babu, S. P., Patnaik, M. C.,
Somasundaram, J., Singh, P., Dwivedi, B. S., Datta, S. P., Meena, M. C., Tripathi, R., Nayak, A. K.,
Kumar, A., Shukla, K., Siddiqui, S. and Patra, A. K. (2018). Evaluation of spatial distribution and
40
regional zone delineation for micronutrients in a semiarid Deccan Plateau Region of India. Land
Degradation and Development, 29(8): 2449-2459. http://krishi.icar.gov.in/jspui/
handle/123456789/19064
132. Sindhu, T., Venkatesan, T., Prabhu, D., Jeyakanthan, J., Gracy, G. R., Jalali S. K. and Rai, A.
(2018). Insecticide-resistance mechanism of Plutella xylostella (L.) associated with amino acid
substitutions in acetylcholinesterase-1: A molecular docking and molecular dynamics investigation.
Computational Biology and Chemistry, 77:240-250.
133. Singh, A. and Sharma, A. (2018). A clusteringbased recommendation engine for restaurants.
International Journal of Advanced Intelligence Paradigms, 11(3-4): 272-283. 134. Singh, D., Singh, C.
K., Kumari, S., Tomar, R. S., Singh, K. S., Singh, R., Singh, R., Sarkar, S. K. and Pal, M. (2018).
Evaluation of cultivated and wild genotypes of Lens species under alkalinity stress and their molecular
collocation using microsatellite markers. PLoSONE 13(8): e0199933. http://krishi.icar.gov.in
/jspui/handle/123456789/6777
135. Singh, I., Deb, R., Kumar, S., Singh, R., Andonissamy, J., Smita, S., Singh, G. S., Kumar, R., Ojha
K. K., Sahoo, N. R., Murali, S., Chandran, R., Nair, V. R., Lal, S. B., Mishra, D. C. and Rai A. (2019).
Deciphering foot-and-mouth disease (FMD) virus-host tropism. Journal of Biomolecular Structure and
Dynamics, 18:1-11.
136. Singh, R., Iquebal, M. A., Mishra, C. N., Jaiswal, S., Kumar, D., Raghav, N., Paul, S., Sheoran, S.,
Sharma, P., Gupta, A., Tiwari, V., Angadi, U. B., Kumar, N., Rai, A., Singh, G. P., Kumar, D. and
Tiwari, R. (2019). Development of model web-server for crop variety identification using throughput
SNP genotyping data. Scientific Reports, 9: 5122.
137. Singh, S., Singh, K. N., Gurung, V., Shekhawat, R. S., Pantotra, N. and Singh, A. (2018).
Cointegration and causality analysis of tur (Pigeon pea) in neighboring states. International Journal of
Chemical Studies, 6(3): 715-719.
138. Singh, Saurabh., Bhatia, Reeta., Kumar, Raj., Sharma, Kanika., Dash, Sukanta, Dey, Shyam
Sundar. (2018). Cytoplasmic male sterile and doubled haploid lines with desirable combining ability
enhances the concentration of important antioxidant attributes in Brassica oleracea. Euphytica,
214(11): 207. http://krishi.icar.gov.in/jspui/handle/123456789/20276
139. Som, S., Burman, R. R., Sharma, J. P., Padaria, R. N., Iquebal, M. A. and Suresh, A. (2018).
Construction of multi-dimensional scale for measuring perception towards migration. Journal of
Community Mobilization and Sustainable Development, 13(2): 279- 285.
140. Stori, R. M., Ahmadzai, K. M., Parihar, C. M., Jat, S. L., Mandal, B. N., Kumar, L. and Meena, B.
R. (2019). Effect of tillage practices and phosphorus doses on the performance of mungbean (Vigna
radiata) in semi-arid Kandahar region of Afghanistan. Indian Journal of Agronomy 63(4): 532-534.
http://krishi.icar.gov.in/jspui/handle/123456789/20134
141. Stori, R. M., Parihar, C. M., Ahmadi, S., Ahmadzai, K. M., Nayak, H. S., Jat, S. L., Mandal,B. N.,
Wasifhy, M. K., Sayedi, S. A., Shamsi, A. B., Ehsan, Q., Parihar, M. D., Kumar, L. and Meena, B. R.
41
(2019). Economical optimum dose of phosphorus for mungbean (Vigna radiata) under contrasting
tillage practices in arid region. Indian Journal of Agricultural Sciences 89(1): 165–168.
http://krishi.icar.gov. in/jspui/handle/123456789/20133
142. Subash, S.P., Kumar, R.R. and Aditya, K.S. (2018). Satellite data and machine learning tools for
predicting poverty in rural India. Agricultural Economics Research Review, 31(2): 231-240.
143. Supriya, P., Rao, A. R. and Bhat, K. V.(2018). Transcriptome sequencing of sesame (Sesamum
indicum) using Illumina Platform. Indian Journal of Agricultural Sciences, 88 (3): 442-446.
144. Sureshkumar, V., Dutta, B., Kumar, V., Prakash, G., Mishra, D. C., Chaturvedi, K. K., Rai, A.,
Sevanthi, A. M. and Solanke, A. U. (2019). RiceMetaSysB: a database of blast and bacterial blight
responsive genes in rice and its utilization in identifying key blastresistant WRKY genes. Database,
baz015.
145. Thakre, M., Verma, M. K., Singh, K., Awasthi, O. P., Sharma, R. R. and Ray, M. (2018). Proposal
and validation of colour index for Kinnow mandarin (Citrus nobilis × Citrus deliciosa). Indian Journal of
Agricultural Sciences, 88 (8): 1179-1183.
146. Upadhyaya, L., Burman, R. R., Sangeetha, V., Lenin, V., Sharma, J. P. and Dash, S. (2018).
Factors affecting digital divide in ICT-led agricultural information delivery: A comparative analysis.
Journal of Community Mobilization and Sustainable Development, 13(2): 296-300.
http://krishi.icar.gov.in/jspui/handle/123456789/20274
147. Varghese, C., Bhowmik, A., Varghese, E. and Jaggi, S. (2018). Web based generation of
polycross designs (webPD). Journal of the Indian Society of Agricultural Statistics, 72(1): 71–76.
http://krishi.icar.gov.in/jspui/handle/123456789/6054
148. Varshney, R., Budhlakoti, N. and Ballal, C.R. (2018). Functional response of Geocoris ochropterus
Fieber (Hemiptera: Geocoridae) to different egg densities of Helicoverpa armigera (Hübner)
(Lepidoptera: Noctuidae). Phytoparasitica, 46(4): 451–458.
149. Vennila, S., Paul, R. K., Bhat, M. N., Yadav, S. K., Vemana, K., Chandrayudu, E., Nisar, S.,
Kumar, M., Tomar, A., Rao, M. S. and Prabhakar, M. (2018b). Abundance, infestation and disease
transmission by thrips on groundnut as influenced by climatic variability at Kadiri, Andhra Pradesh.
Journal of Agrometeorology, 20(3): 227-233.
150. Verma, R. K., Rakhshit, S., Sarkar, S. and Bhowmik, A. (2017). Information need of rural women
in agriculture and their preference of information sources: A case of four villages of Uttar Pradesh.
Bulletin of Environment, Pharmacology and Life Sciences. 6(5):90-94. http://krishi.icar.gov.in/
jspui/handle/123456789/6085
151. Verma, R., Wason, M. and Bhowmik, A. (2018). Case of connecting dream foundation and
communication technology based model, its perceived utility and effectiveness in information and
service delivery. International Journal of Agricultural Sciences, 10(22): 7539-7541.
http://krishi.icar.gov.in/jspui/handle/123456789/19282
42
152. Vinay, A., Ramasubramanian, V., Krishnan, M. and Ananthan, P.S. (2018). Total factor
productivity of Tuna fisheries in Lakshadweep, Indian Journal of Geomarine Sciences, 47(2), 319-32.
http://krishi.icar.gov.in/jspui/handle/123456789/9023
153. Yadav, S. P., Kannaki, T. R., Mahapatra, R. .K. Paswan, C., Bhattacharya, T. K., Sarkar, S.K.,
and Chatterjee, R. N. (2018). In vivo cellmediated immune, hemagglutination inhibition response,
hematological and biochemical values in native vs. exotic chicken breeds. Poultry Science, 97(9):
3063–3071.
154. Yashavanth, B. S., Singh, K. N., Paul, A. K. and Kumar, A. (2018). An empirical evaluation of
parameter shrinkage techniques for vector autoregressive models. Journal of the Indian Society of
Agricultural Statistics, 72(2):113- 120.
155. Yogi, V., Kumar, P., Kar, A., Singh, D. R., Singh, R., Arya, P. and Awasthi, O. P. (2019). Risk
management strategies in kinnow value chain in north-western India. Indian Journal of Extension
Education, 55(1):124-128.
2019-20 1. Misra, T, Arora, A, Marwaha, S, Ray, M, Raju, D, Kumar, S, Sahoo, RN and Chinnusamy, V (2019).
Artificial Neural Network approach for estimating leaf fresh weight (LFW) of rice plant through VISUAL-
NIR (VIS-NIR) imaging. Indian Journal of Agricultural Sciences.
2. Saha, A, Singh, KN, Ray, M, Kumar, S and Rathod, S (2019). A new approach for spatiotemporal
modelling and forecasting based on fuzzy techniques in conjunction with k-means clustering. Journal of
the Indian Society of Agricultural Statistics.
3. Bhar, LM, Ramasubramanian, V, Arora, A, Marwaha, S and Parsad, R (2019). The Era of Artificial
Intelligence. Prospects for Indian agriculture. Indian Farming journal.
4. Awasthi, S, Sharma, A, Saxena, P, Yadav, J, Pandiyan, K, Kumar, M, Singh, A, Chakdar, H,
Bhowmik, A, Kashyap, PL, Srivastava, AK and Saxena, AK(2019). Molecular detection and in silico
characterization of cold shock protein coding gene (cspA) from cold adaptive Pseudomonas koreensis.
Journal of Plant Biochemistry and Biotechnology.
5. Verma, R, Wason, M, Padaria, RN, Singh, P, Sarkar, S and Bhowmik, A (2019). Adoption of
Information and Communication Technology among Rural Women in Uttar Pradesh: A Study of
Barriers. Journal of Community Mobilization and Sustainable Development.
6. Datta, A, Jaggi, S, Varghese, C and Varghese, E (2019). Balanced Bipartite generalized rowcolumn
designs. Journal of the Indian Society of Agricultural Statistics. 18
7. Yadav, SP Sarkar, SK Mahopatra, RK, Kannaki, TR, Denge, M Bhattacharya, TK and
43
Chatterjee, RN (2019). Modeling Growth Curves for Indian native Vs Exotic chicken breeds to assist in
selection strategies. Indian journal of Animal Sciences.
8. Sheoran, S, Jaiswal, S, Kumar, D, Raghav, N, Sharma, R, Pawar, S, Paul, S, Iquebal, MA, Jaiswar,
A, Sharma, P, Singh, R, Singh, CB, Gupta, A, Kumar, N, Angadi, UB, Rai, A, Singh, GP, Kumar, D and
Tiwari, R (2018). Uncovering genomic regions associated with 36 agromorphological traits in Indian
spring wheat using GWAS. Frontiers in Plant Science.
9. Jasrotia, RS, Yadav, PK, Iquebal, MA, Bhatt, SB, Arora, V, Angadi, UB, Tomar, RS, Jaiswal, S, Rai,
A, and Kumar, D (2019). VigSatDB: Genome wide microsatellite DNA marker database of three
species of Vigna for germplasm characterization and improvement. Database. The Journal of Biological
Databases and Curation.
10. Farooqi, MS, Mishra, DC, Chaturvedi, KK, Rai A, Lal, SB, Kumar, S, Bhati, J and Sharma, A (2019)
“A review on recent statistical models for RNA-Seq Data. Journal of Applied Bioinformatics &
Computational Biology.
11. Misra, T, Arora, A, Marwaha, S, Ray, M, Raju, D, Kumar, S, Sahoo, RN and Chinnusamy, V (2019).
Artificial Neural Network Approach for estimating leaf Fresh Weight (LFW) of Rice Plant Through
Visual-Nir (VIS-NIR) Imaging. Indian Journal of Agricultural Sciences.
12. Pal, S, Marwaha, S, Arora, A, Choubey, AK, Singh, AK, Poswal, RS, Adhiguru, P, Kumar, H,
Gupta, C, Islam, SN and Kuma, S (2019). KVK Mobile App: An ICT Tool to Empower Farmers. Indian
Journal of Agricultural Sciences.
13. Dahiya, S Das, S and Bharadwaj, A (2019). Online Classification and Visualization using the C 4.5
Decision tree Algorithm. Indian Society of Agricultural Statistics.
14. Aditya, K, Chandra, H, Kumar, S and Das, S (2019). Higher Order Calibration Estimator of Finite
Population Total Under Two Stage Sampling Design When Population Level Auxiliary Information.
Journal of the Indian Society of Agricultural Statistics.
15. Aditya, K, Chandra, H, Kumar, S, Nayak, N and Das, S (2019). Model Assisted Personal Interview
Software: Development and Experiences From Implementation in Crop Estimation Survey in India.
Journal of the Indian Society of Agricultural Statistics.
16. Mohd, H, Varghese, C, Jaggi, S, Datta, A and Varghese, E (2019). Efficient and cost effective
partial three-way cross designs for breeding experiments with scarce resources. Journal of the Indian
Society of Agricultural Statistics, 73(1): 71-78.
44
17. Shruti, Sharma, JP, Burman, RR, Gills, R, Singh, M and Bhowmik, A (2018). Clustering of Various
Agricultural Processors for Identifying Training Need to Promote Value Chain Development. Indian
Journal of Extension Education. 54 (1), 143-148.
18. Krishna, DK., Kumbhare, NV, Padaria, RN, Singh, P and Bhowmik, A (2018). Extent of Participation
of Respondents in Production and Broadcasting Programme of Community Radio. Indian Journal of
Extension Education. 54 (2): 148-152.
19. Budhlakoti, N, Mishra, DC, Rai, A, Lal, SB, Chaturvedi, KK and Kumar, RR (2019). A Comparative
Study of Single Trait and Multi-Trait Genomic Selection. Journal of Computational Biology. Vol 26, pg
1-13.
20. Sheoran, S, Jaiswal, S, Kumar, D, Raghav, N, Sharma, R, Pawar, S, Paul, S, Iquebal, MA, Jaiswar,
A, Sharma, P, Singh, R, Singh, CB, Gupta, A, Kumar, N, Angadi, UB, Rai, A, Singh, GP, Kumar, D and
Tiwari, R (2018). Uncovering genomic regions associated with 36 agromorphological traits in Indian
spring wheat using GWAS. Frontiers in Plant Science.
21. Gautam, P, Ananthan, PS, Ramasubramanian, V, Sharma, A and Jha, BC (2018). An assessment
of fisheries and management in Rihand reservoir, Uttar Pradesh, Current Agriculture Research Journal,
6(3): 1-12.
22. Bhar, LM, Ramasubramanian, V, Arora, A, Marwaha, S and Parsad, R (2019). Era of Artificial
Intelligence: Prospects for Indian agriculture,Indian Farming, 69(03): 10-13.
23. Bhar, LM, Ramasubramanian, V, Arora, A, Parsad, R and Marwaha, S (2019). Artificial Intelligence
in Agriculture: Status and Prospects in India, Proceedings and Recommendations of the National
Workshop on Artificial Intelligence in Agriculture held during July 30-31, 2018 at NASC Complex, New
Delhi, https://naarm.org.in/wpcontent/ uploads/2019/04/Artificial%20Intelligence%20 in%20Agriculture
.pdf,pages 8-18.
24. Bhar, LM, Ambast, SK, Soam, SK and Rao, CS (2019). Status and Prospects of Artificial
Intelligence in Agriculture, Proceedings and Recommendations of the National Workshop on Artificial
Intelligence in Agricultureheld, New Delhi, pp: 1-92; https://naarm.org.in/wpcontent/
uploads/2019/04/Artificial%20 Intelligence%20in%20Agriculture.pdf.
25. Paul, R, Arya, P and Kumar, S (2019). Use of Artificial Intelligence in Statistical Research. Indian
Farming (Special Issue on Artificial Intelligence in Agriculture). 69(3): 28-31.
26. Yogi, V, Kumar, P, Kar, A, Singh, DR Singh, R, Arya, P and Awasthi, OP (2019). Risk Management
Strategies in Kinnow Value Chain in North-Western India. Indian Journal of Extension Education,
55(1):124-128.
45
27. Saxena, R., Singh, NP, Paul, R.K. and Kumar, R. (2019). Market linkages for the major onion
markets in India. Indian Journal of Horticulture 76 (1), 133-140
28. Sarkar, S, Paul, RK, Paul, AK and Bhar, LM (2019). Wavelet based Multi-scale Auto- Regressive
(MAR) Model: An Application for Prediction of Coconut Price in Kerala. Journalof The Indian Society of
Agricultural Statistics 73 (1): 1-10
29. Paul, RK, Arya, P and Kumar, S (2019). Use of Artificial Intelligence in Statistical Research. Indian
Farming 69 (3):28-31
30. Meher, PK, Sahu, TK, Gahoi, S, Satpathy, S and Rao, AR (2019). Evaluating the performance of
sequence encoding schemes and machine learning methods for splice sites recognition. Gene.
31. Dr. Harish Kumar, H V Communicated abstract on paper titled "Credit to Agriculture by Scheduled
Commercial Banks (SCBs) in India-A Micro Level Overview" authored Harish
Kumar H.V, Shivaswamy G.P, Anuja A.R, Achal Lama,K.N. Singh and Rajesh T for eighth
International Conference on Agricultural Statistics 2019 (ICAS-VIII), to be held during 18-21 November
2019 at New Delhi, India.
32. Parsad, R (2019). Construction of nested partially balanced incomplete block designs. Statistics
and Applications, 17(1): 275-280.http://krishi.icar.gov.in/jspui/ handle/123456789/19784.
33. Choudhary, K, Jha, GK, Kumar, RR and Mishra, DC (2019). Agricultural commodity price analysis
using ensemble empirical mode decomposition: A case study of daily potato price series. Indian
Journal of Agricultural Sciences. 89(5):882-6.
34. Sah, U, Kumar, N, Saxena, H, Dubey, SK, Iquebal, MA, Bhat, S and Singh, SK (2019). Validation of
farmer to farmer extension model for dissemination of quality seeds of pulse crops: experiences from
Bundelkhand Region of Uttar Pradesh. Indian Journal of Extension Education, 54(2): 176-182.
35. Jasrotia, RS, Yadav, PK, Iquebal, MAs, Bhatt, SB, Arora, V, Angadi, UB, Tomar, RS, Jaiswal,S,
Rai, A and Kumar, D (2019). VigSatDB: Genome wide microsatellite DNA marker database of three
species of Vigna for germplasm characterization and improvement. Database: The Journal of Biological
Databases and Curation.(https://academic.oup.com/database/article/doi/10.1093/ database/baz055/
5506750)
36. Chandra, H, Gupta, S and Shreyaskar, PKP (2019). Disparity in Rural Poverty in Indo-Gangetic
Plain in India: A Disaggregate Level Analysis. Statistics and Application, The special A.K. Nigam
felicitation issue, The Society of Statistics, Computer and Application. 17(1), page 181–194.
46
37. Gupta, VK and Chandra, H (2019). Statistics and Application. Edited (Special issue Special Issue to
felicitate Professor Arun Nigam on his 75th birthday). Society of Statistics, Computer and Applications
New Delhi, Volume 17(1). ISSN 2454-7395. Total pages 269 and 19 papers.
38. Farooqi Mohammad Samir, Mishra DC, Chaturvedi KK, Rai Anil, Lal SB, Kumar Sanjeev, Bhati
Jyotika and Sharma Anu. (2019) A Review on Recent Statistical Models for RNA-Seq Data. Journal of
Applied Bioinformatics & Computational Biology. 8:1 DOI: 10.4172/2329- 9533.1000162.
39. Jasrotia, Rahul Singh, Yadav, Pramod Kumar, Iquebal, Mir Asif, Bhatt, S.B., Arora, Vasu, Angadi,
U.B., Toma,r Rukam Singh, Jaiswal, Sarika, Rai, Anil, Kumar, Dinesh (2019).VigSatDB: Genome wide
microsatellite DNA marker database of three species of Vigna for germplasm characterization and
improvement. Database: The Journal of Biological Databases and Curation.
(https://academic.oup.com/database/article/doi/10.1093/database/baz055/5506750).
40. Shyamsundar Parui, B.N. Mandal, Rajender Parsad and Sukanta Dash (2018). Orthogonal Latin
hypercube designs for three columns. Utilitas Mathematica, 108, 149-158.
http://krishi.icar.gov.in/jspui/handle/123456789/20956
41. Rajeev Kumar, B.N. Mandal and Rajender Parsad (2019). Construction of Balanced Sampling
Plans Excluding Adjacent Units. Journal of the Indian Society of Agricultural Statistics, 73(1), 27-32.
http://krishi.icar.gov.in/jspui/ handle/ 123456789/20964
42. Verma, R., Wason, M., Padaria, R.N., Singh, P., Sarkar, S. and Bhowmik, A. Adoption of
Information and Communication Technology among Rural Women in Uttar Pradesh: A Study of
Barriers. Journal of Community Mobilization and Sustainable Development. 13(3), 578-582,
43. Shruti, Sharma, J. P., Burman, R. R., Gills, R. and Bhowmik, A. (2018). Developing Value Chain
Map for Maize in Samastipur district Bihar- Methodological Approach. Journal of Community
Mobilization and Sustainable Development. 13(3), 606-612.
44. Maity, P.P., Chakrabarti, B., Bhatia, A., Purakayastha, T.J., Saha, N.D., Jatav, R.S., Sharma, A.,
Bhowmik, A., Kumar V. and Chakraborty, D. (2019). Effect of Elevated CO2 and Temperature on
Growth of Rice Crop. International Journal of Current Microbiology and Applied Sciences. 8(1), 1906-
1911.
45. Kumar, S., Sangeetha, V., Singh, P., Burman, R.R., Bhowmik, A. (2018) Stakeholders' Perception
about Rice Knowledge Management Portal's information. Indian Journal of Extension Education. 5 (3),
79-84.
46. Gautam, A., Kumar, R. and Jain, S. (2019). Prevalence of gingival inflammation among pregnant
women attending the Anugrah Narayan Magadh Medical College and Hospital, Gaya Bihar India.
International Journal of Medical and Health Research, 5(6), 47-49.
47
47. Das, A., Gupta, S., Parihar, A.K., Saxena, D., Singh, D., Singha, K.D., Kushwaha. K.P.S., Chand,
R, Bal, R.S. and Chandra S. Deciphering genotype-by-environment interaction for targeting test
environments and rust resistant genotypes in field pea (Pisum sativum L.).
doi:10.3389/fpls.2019.00825.
48. Chowdhary, D., Bharadwaj, A. , Sehgal, V.K., Kumar, M., Sudeep, Biswas, A., Parsad, R. and
Verma, R. (2019) Development of Mega-Environment for Maize in India using GIS approach. Journal of
the Indian Society of Agricultural Statistics, 73(1), 79–86.
49. Bibwe, B, Mani, I, Kar, A, Samuel, DVK., Iquebal, MA (2019). Optimization of oil loading and starch-
protein ratio for encapsulation of flaxseed oil using response surface methodology. Journal of
Agricultural Engineering, 56(2): 80-90.
50. Rasal, KD, Iquebal, MA, Pandey, A, Behera, P, Jaiswal, S, Vasam, M, Dixti, S, Raza, M, Sahoo, L,
Nandi, S, Angadi, UB, Rai, A, Kumar, D, Nagpure, N, Chaudhari, A and Sundaray, JK (2019) Revealing
liver specific microRNAs linked with carbohydrate metabolism of farmed carp, Labeo rohita (Hamilton,
1822). Genomics (https://www.sciencedirect.com/science/article/pii/S088875431930237X?via%3
Dihub).
51. Rasal, KD, Iquebal, MA, Jaiswal, S, Dixit, S, Vasam, M, Nandi, S, Raza, M, Sahoo, L, Angadi, UB,
Rai, A, Kumar, D, and Sundaray, JK (2019). Liver specific microRNAs identification in farmed carp,
Labeo bata (Hamilton, 1822) fed with starch diet using high-throughput sequencing. Marine
Biotechnology https://link.springer.com/article/ 10.1007/s10126-019-09912-y)
52. Chakraborty, D, Sehgal, VK, Dhakar, R, Ray, M and Das, DK (2019). Spatio-temporal trend in heat
waves over India and its impact assessment on wheat crop. Theoretical and Applied Climatology.
https://doi.org/10.1007/s00704-019-02939-0
53. Rathore, SS, Shekhawat, K, Singh, RK, Updhyay, PK, Shekhawat, R and Premi, OP (2019). Effect
of nano-particles on growth, productivity, profitability of Indian mustard(Brassica juncea) under semi-
arid conditions. Indian Journal of Agricultural Sciences, 89(7): 1045-50.
54. Pal, S. and Mazumdar, D (2019). Forecasting monthly rainfall using artificial neural network.
RASHI, 3(2):65-73.
55. Chakraborty, D, Mondal, S, Das, A, Paul, AK, Thomas, P, Aggarwal, P, Behera, UK and Sharma,
AR (2019). Tillage and Crop Rotation Effects on Mechanical Properties and Structural Stability of a
Sandy Loam Soil in a Semi-arid Environment Journal of the Indian Society of Soil Science. 67(2):174-
182.
48
56. Saha, A, Singh, KN, Ray, M, Kumar, S and Rathod, S (2019). A new approach for spatiotemporal
modelling and forecasting based on fuzzy techniques in conjunction with k-means clustering. Journal of
the Indian Society of Agricultural Statistics. 73 (2): 111-120.
57. Awasthi, S, Sharma, A, Saxena, P, Yadav, J, Pandiyan, K, Kumar, M, Singh, A, Chakdar,
H,Bhowmik, A, Kashyap, PL, Srivastava, AK and Saxena, AK(2019). Molecular detection and in silico
characterization of cold shock protein coding gene (cspA) from cold adaptive Pseudomonas koreensis.
Journal of Plant Biochemistry and Biotechnology. Available at https://doi.org/10.1007/s13562-019-
00500-8(.01)
58. Dash, S, Mandal, BN, Parsad, R and Sarkar, SK(2019). A Note on Second Order Orthogonal Latin
Hypercube Designs, Journal of the Indian Society of Agricultural Statistics, 73(2):133- 136.
59. Singh, S, Gupta, S, Dash, S and Singh, KN (2019). Modelling the growth of lactic acid
bacteriastarter culture for foods. Journal of Indian Society of Agricultural Statistics. 73(2):161-165.
60. Devi, I, Singh, P, Lathwal, SS, Dudi K, Singh, Y, Ruhil AP, Kumar, A, Dash, S and Malhotra, R
(2019). Threshold values of acoustic features to assess estrous cycle phases in water 18 buffaloes
(Bubalus bubalis), Applied Animal Behaviour Science.
https://doi.org/10.1016/j.applanim.2019.104838.
61. Rai, SN, Srivastava, S, Pan, J, Wu, X, Rai, SP, Mekmaysy, CS, DeLeeuw, L, Chaires, JB and
Garbett, NC (2019). Multi-group diagnostic classification of high-dimensional data using differential
scanning calorimetry plasma thermograms. PLOS ONE 14(8): e0220765.
https://doi.org/10.1371/journal.pone.0220765
62. Ali, A, Kumar, R, Iquebal, MA, Jaiswal, S, Kumar, D and khan, A (2018). Role of conserved
residues in catalytic activity of NDM-1: an approach of site directed mutagenesis and molecular
dynamics. Physical Chemistry Chemical Physics-a Journal of Royal Society of Chemistry.
(https://pubs.rsc.org/en/content/articlel anding/2019/cp/c9cp02734c/unauth#!divAbstract)
63. Pal, S, Marwaha, S, Arora, A, Choubey, AK, Singh, AK, Poswal, RS, Adhiguru, P, Islam, SN,
Kumar, H, Gupta, C and Kumar, S (2019). KVK Mobile App: An ICT tool to empower farmers. Indian
Journal of Agricultural Sciences, 89(8):1362-5.
64. Farooqi, MS, Mishra, DC, Chaturvedi, KK, Rai, A, Lal, SB, Kumar, S, Bhati, J and Sharma, A.
(2019). A Review on Recent Statistical Models for RNA-Seq Data. J Appl Bioinforma Comput Biol 8(1).
DOI: 10.4172/2329-9533.1000162.
65. Renu, Gupta, SK, Rai, AK, Sarim, KM, Sharma, A, Budhlakoti, N, Arora, D, Verma, DK, Singh, DP
(2019). Metaproteomic data of maize rhizosphere for deciphering functional diversity. Data in Brief,
https://doi.org/10.1016/j.dib.2019.104574.
49
66. Angadi, UB, Chaturvedi, KK, Srivastava, S and A. Rai (2019) "A Novel Way of Comparing Protein
3D Structure Using Graph Partitioning Approach," in IEEE/ACM Transactions on Computational
Biology and Bioinformatics. https://doi.org/10.1109/ TCBB.2019.2938948
67. Samireddypalle, A, Prasad, KVSV, Ravi, D, Khan, AA, Reddy, R, Angadi, UB and Blümmel M
(2019. Embracing whole plant optimization of rice and wheat to meet the growing demand for food and
feed, Field Crops Research, https://doi.org/10.1016/ j.fcr.2019.107634
68. Iquebal, MA, Sharma, P, Jasrotia, RS, Jaiswal, S, Kaur, A, Saroha, M, Angadi, UB, Sheoran, S,
Singh, R, Singh, GP, Rai, A, Tiwari, R & Kumar, D (2019) RNAseq analysis reveals drought-responsive
molecular pathways with candidate genes and putative molecular markers in root tissue of wheat,
Scientific Reports volume 9, Article number: 13917 (2019) ,https://doi.org/10.1038/s41598-019-49915-2
69. Gupta, MC, Roy, HS and Bhadauria, SS (2019) Genetic variability analysis in F2/F3 population
derived through inter-specific hybridization in oilseed Brassica. Electronic Journal of Plant Breeding. 10
(3): 1275 – 1282.
70. Chinapolaiah, A, Damors, PR, Manjesh, GN, Thondaiman, V and Kumar, HHV (2019). Vegetative
propagation of Adhatodavasica a medicinal plant: effect of indole-3-butyric acid (IBA) on stem cuttings.
Journal of Pharmacognosy and Phytochemistry. 8(5): 1176-1180.
71. Sahu, PK, Dey, S, Sinha, K, Singh, SHH and Narsimaiaha, L (2019). Cointegration and Price
Discovery Mechanism of Major Spices in India, American Journal of Applied Mathematics and
Statistics, 7(1): 18-24
72. Singh, SHH, Dutta, SS, Dey, S, Narsimaiah, L, Sinha, K, Pandit, P, Dubey, A, Mishra, P and Sahu,
PK (2019). Factors influencing selection of plant protection chemicals: A statistical appraisal, Journal of
Pharmacognosy and Phytochemistry, 8(2): 1-5
73. Datta, A, Jaggi, S, Varghese, C and Varghese, E (2019). Balanced bipartite generalized rowcolumn
designs. Journal of the Indian Society of Agricultural Statistics, 73(2): 121-128.
74. Vanlalneihi, B, Saha, P, Kalia, P, Singh, S, Saha, ND, Kundu, A, Singh, N and Bhowmik, A(2019).
Genetic and principal component analysis for agro-morphological traits, bioactive compounds,
antioxidant activity variation in breeding lines of early Indian cauliflower and their suitability for
breeding. Journal of Horticultural Science and Biotechnology. DOI:10.1080/14620316.2019.1627912.
75. Anuja, AR, Singh, KN, Shivaswamy, GP, Rajesh, T and Harish Kumar H V (2019). Instrumental
Variable Estimation, in Nikam, V., Jhajhria and Pal, S (ed) Quantitative Methods for social sciences,
ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi. 219-226. 16
50
76. Misra, T, Arora, A, Marwaha, S, Ray, M, Raju, D, Kumar, S,,Sahoo, RN and Chinnusamy, V (2019)
Artificial Neural Network approach for estimating leaf freshweight (LFW) of rice plant through VISUAL-
NIR (VIS-NIR) imaging. Indian Journal of Agricultural Sciences.89 (10), 1698-1702.
77. Lama, A, Jha, GK, Singh, KN and Gurung, B (2019). Bayes BEKK: Bayesian Estimation of
Bivariate Volatility Model. R package.
78. Panwar, S, Kumar, N, Kumar, A, Paul, RK and Sarkar, SK (2019) Analysis of trend in area,
production and productivity of okra (Abelmoschus esculentus) in India. Current Horticulture 7(2): 56–58.
https://doi.org/10.5958/2455-7560.2019.00021.9.
79. Varghese, E, Bhowmik, A, Jaggi, S, Varghese, C and Lall, S (2019). On the construction of
response surface designs with minimum level changes. Utilitas Mathematica, 110, 293-303.
80. Majumdar, SG, Rai, A, Mishra, DC (2019). Integrated Framework for Selection of Additive and
Nonadditive Genetic Markers for Genomic Selection. Journal of Computational Biology.
https://doi.org/10.1089/cmb.2019.0223.
81. Kumar, D, Chhokar, V, Sheoran, S, Singh, R, Sharma, P, Jaiswal, S, Iquebal, MA, Jaiswar, A,
Jaisri, J, Angadi, UB, Rai, A, Singh, GP, Kumar, D, Tiwari, R (2019). Characterization of genetic
diversity and population structure in wheat using array based SNP markers, Mol Biol
Rep. https://doi.org/10.1007/s11033-019-05132-8
Financial Statement
Expenditure under CAFT
Head 2017-18 2018-19 2019-20 Operating of 2,39,7822 18,45,137 cost
Training
Recurring 3,52,733 2,70,991 Contingency
Non- 0 0 Recurring
Contingency
T.A. 22,141 0
Library 35,000 0 Staff Salary 9,63,084 8,60,921
Total 37,70,780 29,77,049
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