Design of Experiments

Dr. Seema Jaggi
Head(A)
Phone (O).: 25841721
Seema.jaggi@icar.gov.in

About Us

Design of Experiments Division is one of important Divisions of ICAR- Indian Agricultural Statistics Research Institute, New Delhi. This Division is engaged in teaching, research and training related to designing and analysis of experiments for agriculture, animal science, fisheries and all other allied sciences.

Mandate

  • To develop statistical designs and methodologies for analysis of data relating to field and laboratory experimentation in agriculture and animal science

Thrust Areas

  • Cropping system research
  • Information system for agricultural and animal experiments
  • Experimental designs for agricultural, animal, agro-forestry and fisheries research.

 Ongoing

            Institute funded

Sr No.Project NameProject team
1Analytical Procedure for Factorial Experiments with Logistic and Gompertz Error Distributions.Sunil Kumar Yadav
2A-optimal block designs for comparing treatments with control treatment(s): An algorithmic approachBN Mandal, Rajender Parsad and Sukanta Dash
3Generalized Row-Column Designs for Crop and Animal ExperimentsAnindita Datta, Mohd Harun, Seema Jaggi and Cini Varghese
4Minimal Response Surface Designs for Resource Optimization in Agricultural ExperimentsEldho Varghese (upto 22.07.2017), Arpan Bhowmik, Seema Jaggi and Cini Varghese
5On construction of orthogonal and nested orthogonal Latin hypercube designsSukanta Dash, Rajender Parsad, B.N. Mandal and Susheel Kumar Sarkar
6Some Investigations on Trend Resistant Row-Column DesignsArpan Bhowmik, Seema Jaggi, Eldho Varghese and Sunil Kumar Yadav
7Design Involving Three-way and Four-way Genetic Crosses for Crop and Animal Breeding ProgrammesMohd Harun, Anindita Datta, Cini Varghese and Seema Jaggi

         Externally funded

Sr No.Project NameFunding agencyProject team
1Planning, designing and analysis of experiments planned on stations under All India Coordinated Research Project on Integrated Farming SystemsAICRP on IFS, ICAR Anil Kumar, Susheel Kumar Sarkar and Md. Harun
2ICAR Research Data Repository for Knowledge Management as KRISHI: Knowledge based Resource Information System Hub for Innovations in Agriculture: XII Plan Data Management Component of ICAR Headquarters.Data Management Component of ICAR HeadquartersICAR-IASRI, New Delhi: Rajender Parsad, A.K. Choubey, Mukesh Kumar, Anshu Bhardwaj, Susheel Sarkar, Arpan Bhowmik, Raju Kumar (till 04.06.2017), Vandita Kumari Choudhary (till August 2016) and Sukanta Dash (since 03.04.2017), ICAR-NAARM, Hyderabad : A.Dhandapani, ICAR-NBSS&LUP, Nagpur : G.P. Obi Reddy, Nirmal Kumar, Sudipto Chattaraj, ICAR-IARI, New Delhi: Vinay Kumar Seghal, Joydeep Mukerjee, ICAR-DKMA, New Delhi: Mitali Ghosh Roy, ICAR-CMFRI,Kochi: J. Jayasankar, ICAR-CRIDA, Hyderabad: N.S. Raju
3Pilot study for developing state level estimates of crop area and production on the basis of sample sizes recommended by Professor Vaidyanathan Committee reportDirectorate of Economics and Statistics, Department of Agriculture and Cooperation, Ministry of Agriculture, Government of India, New Delhi. UC Sud, Kaustava Aditya, Hukum Chandra, AK Gupta (till 31.07.2016), Ankur Biswas, Vandita Kumari, Raju Kumar, Anshu Bhardwaj, Anil Kumar and Ajit
4Designing and Analysis of ON FARM Research Experiments Planned under AICRP on IFSICAR-IIFSR Cini Varghese, Sukanta Dash and Arpan Bhowmik
5Creating a fully characterized genetic resource pipeline for mustard improvement programme in IndiaNational Agricultural Science Fund (NASF), ICARLead Centere PI: Dr S.S. Banga, PAU, Ludhiana, IARI, New Delhi, DRMR, Bharatpur, GBPUAT, Pantnagar and ICAR-IASRI, New Delhi are the collaborating centres. CCPI: A.R. Rao; CC-Project Associates: Cini Varghese and Prabina Kumar Meher
Incomplete split plot designs: construction and analysisSERB (DST)BN Mandal, Sukanta Dash and Rajender Parsad
6Planning, designing and analysis of data relating to experiments for AICRP on Long Term Fertilizer experiments AICRP-LTFEB N Mandal, Aninidita Datta and Sunil Kumar Yadav

Completed

      Institute funded

Sr NoProject NameProject Team
1A Diagnostic Study of Design and Analysis of Field ExperimentsRajender Parsad, V.K. Gupta, P.K. Batra, R. Srivastava, Rajinder Kaur, Ajit Kaur and Prawin Arya
2A Study on Trend Free DesignsKrishan Lal, Rajender Parsad and V.K. Gupta
3Agricultural Field Experiments Information SystemP.K. Batra, O.P. Khanduri, D.K. Sehgal, Rajender Parsad and Sudeep
4Analysis of Experimental Designs with t-Family of Error DistributionsKrishan Lal, Rajender Parsad, V. K. Gupta and Lal Mohan Bhar
5A-optimality of block designs for comparing two disjoint sets of treatments.Seema Jaggi, V.K. Gupta
6Application of Optimization Techniques for Construction of Incomplete Block DesignsB.N. Mandal, Rajender Parsad and V.K. Gupta
8Cataloguing and Construction of Variance Balanced Block Designs: Computer Algorithms for ConstructionRajender Parsad, V.K. Gupta and O.P. Khanduri
10Design and analysis of agroforestry experiments.D.P. Handa, Seema Jaggi, A.S. Gill, V.K. Sharma
14Development of Fatigue Score Card and Suitable Work Cycles on Camel (Collaboration with KVK, Rewari under the aegis of AICRP on Utilization of Animal Energy)M. Din, Jyotsana, P.K. Srivastava and Rajender Parsad
15Development of Statistical Package for Agricultural Research (Windows Version): SPAR 2.0Sangeeta Ahuja, P.K. Malhotra, K.C. Gupta, V.K. Bhatia, Rajender Parsad and V.H. Gupta
17Efficient designs for drug testing in veterinary trials (PI)Cini Varghese
18E-learning Solutions for Agricultural EducationShashi Dahiya, R.C. Goyal, K.K.Chaturvedi, Anshu Bharadwaj, Seema Jaggi and Cini Varghese
19Energy Requirement in Agricultural Sector: A Linear Programming Approach (Collaboration with AICRP on Energy Requirement in Agricultural Sector)V.K. Gupta, Rajender Parsad, Dipankar De, Hukum Chandra, R.S. Singh
20Experimental designs for polycross trialsCini Varghese, Seema Jaggi and Eldho Varghese
21Generalized row-column designs for agricultural experiments (PI)Cini Varghese and Seema Jaggi
22Knowledge data warehouse for agricultural research.Anil Rai, P.K. Malhotra, Seema Jaggi, K.K. Chaturvedi, Prachi Misra, Md. Samir Farooqui
23Long term Manorial and Fertilizer Experiment on Potato Based Cropping Systems (Collaborative Project with CPRS, Modipuram)CPRS, Modipuram: N.C. Upadhayay, O.P. Singh, A.K. Shukla, M.A. Khan, B.P. Singh, D.B. Singh, V. Sunaina, CPRS, Modipuram, Nalini Rajan Kumar, Dinesh Kumar CPRI, Shimla: N.C. Sood, P.M. Govindakrishnan, K.P. Chandran, PDCSR, Modipuram: S.S. Paul, Kamlesh Malik, I.A.S.R.I. New Delhi: Rajender Parsad
24Mating-Environmental designs under two-way blocking setupEldho Varghese and Cini Varghese
25Planning, Designing and Analysis of Experiments Relating to AICRP on Soil Test Crop Response Correlation (Collaborative Project with AICRP on STCR)Aloke Lahiri, V.K. Sharma, A. Subba Rao, Y. Muralidharan, Rajender Parsad, M.R. Vats and Abhishek Rathore
26Planning, Designing and Analysis of Experiments relating to AICRP on Soil Test Crop Response Correlation (Collaborative Project)Aloke Lahiri, V.K. Sharma, A. Subba Rao, M.R. Vats, D.K. Mehta, Rajender Parsad and Sanjay Srivastava
27Response Surface Methodology Incorporating Neighbour Effects.Eldho Varghese and Seema Jaggi
28Row-column designs for factorial experiments in two rowsSukanta Dash, Rajender Parsad and V.K. Gupta
29Row-column designs for factorial experiments in two rows.PI:Sukanta Dash,Co-PI: Rajender Parsad, B.N. Mandal and V. K. Gupta
30Some investigations on design and analysis of agroforestry experimentsSeema Jaggi, V.K.Sharma, A.S. Gill and Cini Varghese
31Some Statistical Studies Relating to Design and Analysis of Experiments involving Fixed Quantity of InputsP.K.Batra, Rajender Parsad and O.P. Khanduri
32Studies on Optimality of Block Designs for Making Test Treatments-Control ComparisonsR.Srivastava, V.K. Gupta and Rajender Parsad
33Study on Robustness of Block Designs for Biological Assays against Loss of DataRavindra Srivastava, V.K. Gupta and Rajender Parsad
34Three-associate class partially balanced incomplete block designs and their application to partial diallel crossesCini Varghese, V.K.Sharma, Seema Jaggi and Anu Sharma
35Web Solutions for Partially Balanced Incomplete Block (PBIB) DesignsAnu Sharma, Cini Varghese and Seema Jaggi
36Yardsticks of additional production from the combined application of inputs.C.H.Rao, Seema Jaggi, G.L. Khurana
37Factorial Experiments with Minimum Level Changes in Run SequencesArpan Bhowmik, Eldho Varghese, Seema Jaggi and Cini Varghese

Externally funded

Sr NoProject NameFunding agencyProject Team
1Performance Assessments of Universities in Agriculture Education: A comparative analysisICARSukanta Dash,Anil Kumar
2Information System for Planning and Analysis of Experiments of All India Co-ordinated Research Project on Vegetable Crops:AICRP on VCIASRI, New Delhi: Rajender Parsad and Sukanta Dash; NAARM, Hyderabad: A. Dhandapani; AICRP on VC, IIVR, Varanasi: B. Singh, Major Singh (since 11.12.2015), P.M. Singh (October 2014-10.12.2015), Satyandra Singh (till 16.05.2015) and T. Choubey
3Planning, designing and analysis of data relating to experiments for AICRP on Long Term Fertilizer experiments AICRP-LTFEB N Mandal, L M Bhar, K L Kalra, D K Sehgal
4Statistical study on competition effects among neighbouring units in field experiments.AP Cess Fund ICARSeema Jaggi, V.K. Gupta
5Study of designs for two or more sets of treatments applied at different periods of experimentation.AP Cess Fund ICARSeema Jaggi, V.K. Gupta
6Experimental designs for agricultural research involving sequences of treatmentsAP Cess of ICARCini Varghese and Seema Jaggi
7Impact assessment of Bt. cotton on microbial community structure and function.DBTAnita Choudhry, IARI, Seema Jaggi
8Experimental designs in the presence of indirect effects of treatmentsDepartment of Science and Technology (DST), New DelhiSeema Jaggi, Cini Varghese, Anu Sharma and Eldho Varghese
9Statistical and algorithmic approach for improved estimation of treatment effects in repeated measurements designsDepartment of Science and Technology (DST), New DelhiCini Varghese, A.R. Rao, V.K.Gupta and Anu Sharma
10Planning, designing and analysis of ‘On Farm’ research experiments planned for AICRP on IFSFunded by ICAR-IIFSRN.K. Sharma (from 01.04.2012 upto 30.09.2014), Cini Varghese (w.e.f 01.10.2014), Sukanta Dash (w.e.f 01.10.12) and Arpan Bhowmik (w.e.f. 01.10.2014)
11Creating Awareness for Efficient Use of ICT and MOOCs in Agriculture EducationICARAnil Kumar, Sukanta Dash
12Design and Analysis of On-Station and On-Farm Agricultural Research Experiments: A Revisit (Collaborative Project)ICAR AP CESS FundA.K. Nigam, Rajender Parsad and V.K. Gupta
13Designs for Fitting Response Surfaces in Agricultural ExperimentsICAR AP-CESS FundRajender Parsad, R. Srivastava and P.K. Batra
14Standardization and validation of scales for measuring socio-psychological constructs related to risk adjustment and entrepreneurship behaviours of farmersICAR extra mural project under Agricultural Extension DivisionIARI: Dr. R. N. Padaria, Dr. R. R. Burman, Dr. Rashmi Singh, Dr. Sujit Sarkar (IARI Regional Station, Kalimpong), Dr. V. Lenin, Dr. Reshma Gills, IASRI (w.e.f 05.09.16): Dr. Arpan Bhowmik, Dr. Eldho Varghese
15Experimental Designs for Quality Agricultural ResearchICAR National Fellow SchemeRajender Parsad
16Outliers in Designed ExperimentsICAR-AP-CESS FundL.M.Bhar, Rajender Parsad and V.K. Gupta
17Studies on Block Designs for Biological AssaysICAR-AP-CESS FundR. Srivastava, Rajender Parsad and V.K. Gupta
18Establishment of National Agricultural Bioinformatics Grid (NABG) in ICAR.NAIPAnil Rai, P K Malhotra, K K Chaturvedi, S.B. Lal, Anu Sharma, Samir Farooqi, Sudeep, Hukum Chandra, A.R. Rao, Seema Jaggi
19Strengthening Statistical Computing in NARSNAIP Component IIASRI, New Delhi: CL: V.K.Bhatia (till 28.02.2012) & U.C. Sud (01.03.2012-31.03.2014) CPI: Rajender Parsad Co-PIs: V.K. Gupta (till June, 2010), P.K. Malhotra (till 31.03.2011), V.K. Mahajan (till 31.03.2011), Seema Jaggi, L.M. Bhar, A.K. Paul, Sivaramane, N. (till 27.03.2012) Ramasubramanian, V. (till 18.07.2013), Mohammad Samir Farooqui, NDRI Karnal: R. Malhotra, D.K. Jain, A.K. Sharma, A.K. Chakravarty, A.K. Chauhan, A.P Ruhil and A.K. Singh, IVRI, Izatnagar: B. Singh, Shiv Prasad, T.A. Khan & Medram Verma, MPUAT, Udaipur: K.A. Varghese, Latika Sharma, B.R. Ranwah and H.K. jain, DWM, Bhubabeswar: D.K. Panda and G. Kar, ICAR RC NEHR, Barapani: N. Uttam Singh, A.K. Tripathi, Anirudha Roy and S.B. Singh, UAS Bengaluru: M. Gopinath Rao, V. Manjunath, K.N. Krishna Murthy and H. Chandrasekhar, ICAR-NAARM, Hyderabad: M.N. Reddy (till 22.12.2011), A. Dhandapani; G.P. Reddy, Ananta Sarkar(till 30.10.2012), N. Sivaramane (27.03.2012-31.03.2014), P.D. Sreekanth (30.04.2011-31.03.2014); V. Sumanth Kumar (30.04.2011-28.02.2013) and S. Ravichandran (25.07.2013-26.03.2014), CIFE, Mumbai: S. Jahageerdar and R.S. Biradar (20.04.2009-31.05.2012)
20Assessment of spatial and temporal variation of soil microbial diversity in rice-wheat cropping system.NATPAnita Chaudhary, Rajeev Kaushik, R. Choudhary, Naveen Kalra, Himanshu Pathak, Seema Jaggi
21Studies on Data Processing Techniques for Statistical Analysis of Large Field Variability in Hilly and Salt Affected Soil RegionsNATP: CGPV.K. Bhatia and Rajender Parsad
22Design and Analysis of Experiments for Spatially Correlated ObservationsSERB, DST FundedSeema Jaggi, V.K. Gupta and Rajender Parsad
23Planning, Designing and Analysis of ON FARM Research Experiments Planned for AICRP on IFSVoluntary Centre, AICRP on IFSCini Varghese, Sukanta Dash and Arpan Bhowmik

2017

  • Adaka, P, Singh, A,  Dhiman, P,  Chandrika,  KSV P,  Walia, S,   Sirohi, A,  Jain, A ,  Khandelwal, M,  Kumar, A and Parmar, BS. (2017). Hydrogel based formulations of Tagetespatula root extract and MgSO4 to control Meloidogynae incognita in cucumber. Allelopathy J.,40(2), 173-186 .
  • Bhowmik Arpan, Jaggi Seema, Varghese Eldho and Varghese Cini (2017). Optimal block designs with non-additive mixed effects interference. Statist: Theory Meth., DOI: 10.1080/03610926.2017.1291978.
  • Bhowmik Arpan, Jaggi Seema, Varghese Eldho and Yadav, Sunil Kumar (2017). Trend free design under two-way elimination of heterogeneity. RASHI. 2(1), 34-38.
  • Das, S., Meher, P. K., Rai, A., Bhar, L.M. and Mandal, B. N. (2017). Statistical Approaches for Gene Selection, Hub Gene Identification and Module Interaction in Gene Co-expression Network Analysis: An Application to Aluminium Stress in Soybean (Glycine max L.), PLoS One, 12(1)1-24
  • Datta Anindita, Jaggi Seema, Varghese Eldho and Varghese Cini (2017). Generalized confounded row-column designs, Statist: Theory Meth., 46(12), 6213-6221.
  • Gaikwad,Nilesh N. Yedle,V.H., Yenge,Govind, Suryavanshi,Swati, Babu, K.D., Pal, R.K. and Sarkar, Susheel, (2017) Effect of microwave pretreatment on extraction yield of pomegranate seed (cv. Bhagwa) oil. International Journal of Chemical Studies. 5(4), 1291-94.
  • Hema Baliwada, J P Sharma, R R Burman, M S Nain, Anil Kumar and P Venkatesh (2017) Constraints and Strategies in Scaling up Farmer-led Innovations, Journal of Community Mobilization and Sustainable Development 12(1), 72-78, January-June, 2017
  • Jerome, A., Srivastava, S. K., Sharma R K., Sarkar, S.K.and Kumar, R. (2017). Follicular dynamics, hormonal and biochemical profile across seasons in buffaloes. Indian Journal of Animal Sciences. 87 (7), 824–828
  • Krishna, D.K., Kumbhare, N.V., Padaria, R.N., 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.
  • Mandal, B N and Dash, S. (2017). On balanced incomplete Latin square designs, Communications in Statistics-Theory and Methods, 46(13)6258-6263.
  • Mandal, B.N., Gupta,  K. and Parsad, Rajender (2017). Balanced treatment incomplete block designs through integer programming. Communications-in-Statistics: Theory & Methods, 46(8), 3728-3737 (DOI: 10.1080/03610926.2015.1071394).  (http://krishi.icar.gov.in/jspui/handle/123456789/3611).
  • Noorzai, Amin Ullah, Choudhary, Anil K., Rana, R.S. and Parsad, Rajender (2017). Growth behaviour, productivity and profitability of promising mungbean varieties in semi-arid region of Afghanistan. Annals of Agricultural Research, 38(1), 78-86.
  • Prabhakar Itigi, Vijayaragavan, K., Singh Premlata, Singh Balraj, Janakiram, Manjunatha, B.L., Jaggi Seema and Sekar, I. (2017). Constraints in adoption and strategies to promote polyhouse technology among farmers: A multi-stakeholder and multi-dimensional study. Indian Journal of Agricultural Sciences, 87(4), 485-490.
  • Sarkar Kader Ali, Jaggi Seema, Bhowmik Arpan, Varghese Eldho and Varghese Cini (2017). Trend resistant neighbour balanced bipartite block designs. Journal of Indian Society of Agricultural Statistics, 71(1), 53-59.
  • Sarkar, S., Padaria, R.N. 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.
  • Saurav Sumeet, Varghese Cini, Varghese Eldho and Jaggi Seema (2017). Resolvable multi-session sensory designs balanced for carryover effects. Journal of Indian Society of Agricultural Statistics, 71(2), 121-126.
  • Shukla, AK, Sinha, N K, Tiwari, P K, Prakash, C, Behera, S K, Lenka, NK, Singh, VK, Dwivedi, B S, Majumdar, K, Kumar, A, Srivastava, P C, Pachauri, S P, Meena, M C, Lakaria, BL, and Siddiqui, S (2017). Spatial Distribution and Management Zones for Sulphur and Micronutrients in Shiwalik Himalayan Region of India. Land Degrad. Develop., 28, 959–969. doi: 10.1002/ldr.2673
  • Singh, Dharmendra, Singh, Chandan Kumar, Kumari, Shanti, Tomar, Ram Sewak Singh, Karwa, Sourabh, Singh, Rajendra, Singh, RajaBahadur, Sarkar, Susheel Kumar, Pal, Madan (2017). Discerning morpho-anatomical, physiological and molecular multiformityin cultivated and wild genotypesof lentil with reconciliation to salinity stress. PLoS ONE 12(5):e0177465. https://doi.org/ 10.1371/journal.pone.0177465.

2016

  • Anjum Arfa, Jaggi Seema, Varghese Eldho, Lall Shwetank, Bhowmik Arpan and Rai Anil (2016). Identification of differentially expressed genes in RNA-seq data of Arabidopsis Thaliana: A compound distribution approach. Journal of Computational Biology, 23(4), 239-247. DOI: 10.1089/cmb.2015.0205.
  • Bhowmik Arpan, Varghese Eldho, Jaggi Seema, and Varghese Cini (2016). Minimally changed run sequences in factorial experiments. Statist: Theory Meth., 46(15), 7444-7459.
  • Bhowmik, A., Ramasubramanian V., Rai, A., Kumar, A. and Kundu, M.G. (2016). Improved estimation in logistic regression through quadratic bootstrap approach: an application in agricultural ergonomics. Journal of the Indian Society of Agricultural Statistics. 70(3), 227-235.
  • Chandrika, KSV P,  Singh,  A,  Rathore, A and Kumar, A (2016). Novel cross linked guar gum-g-poly(acrylate) porous superabsorbent hydrogels: Characterization and swelling behaviour in different environments.  Carbohydr. Polym.,149,175–185.
  • Datta Anindita, Jaggi Seema, Varghese Cini and Varghese Eldho (2016). Series of Incomplete Row-Column Designs with Two Units per Cell. MetodoloÅ¡ki Zvezki – Advances in Methodology and Statistics, 13(1), 17-25.
  • Gupta, A., Sarangi, A., Singh, D.K., Parihar, S.S. and Varghese, Cini. (2016). A software for crop coefficient estimation and irrigation scheduling. Green Farming, 5, 1186-1191.
  • Harun Mohd, Varghese Cini, Varghese Eldho and Jaggi Seema. (2016). Three-way cross designs for animal breeding experiments. Indian Journal of Animal Sciences, 86(6), 710–714.
  • Harun Mohd, Varghese Cini, Varghese Eldho and Jaggi Seema. (2016). Three-way cross designs for test lines vs. control line comparisons. Electronic Journal of Plant Breeding, 7(1), 42-47.
  • Harun Mohd., Varghese Cini, Jaggi Seema and Varghese Eldho (2016). Triallel cross designs for comparing a set of test lines with a control line. Indian Journal of Genetics and Plant Breeding, 76(1), 84-87.
  • Jaggi Seema, Varghese Cini and Varghese Eldho (2016). A series of generalized incomplete Trojan-type designs. Journal of Combinatorics, Information and System Sciences: American Journal, 40(1-4), 53-60.
  • Koley, K., Kaur Charanjit, Nagal Shweta, Walia Shweta, Jaggi Seema, Sarika J. (2016). Antioxidant activity and phenolic content in genotypes of Indian jujube (Zizyphus mauritiana Lamk). Arabian Journal of Chemistry, 9, S1044–S1052. http://dx.doi.org/ 10.1016/  j.arabjc.2011.11.005.
  • Kumar, P and Chikara, AK (2016). A Blood Bank Management System Modelling Using Reliability Techniques. Int. J. Manag. Res., 6(3).
  • Kumar, Rajeev, Parsad, Rajender and Mandal, B.N. (2016). Smaller balanced sampling plans excluding adjacent units for one dimensional population. International Journal of Computational and Theoretical Statistics, 3(2), 55-61. http://krishi.icar.gov.in/jspui/handle/123456789/3608.(http://journals.uob.edu.bh/IJCTS/contents/volume-1079/articles/article-2625)
  • Ladha, K., Rao, A.N., Raman, Anitha K.,  Padre, A. Tirol, Dobermann, A.,  Gathala, M., Kumar, V.,  Sharawat, Y.S.,  Sharma, S.,  Piepho, H.P.,  Alam, M.M., Liak, R., Rajendran, R.,  Reddy, C. Kesava, Parsad,  Rajender, . Sharma, P.C,  Singh, S.S.,   Saha,  A.and  Noor,  S. (2016). Agronomic improvements can make future cereal systems in South Asia far more productive and result in a lower environmental footprint. Global Change Biology, 22(3), 1054-1074. 11/2015; DOI:10.1111/gcb.13143. (http://krishi.icar.gov.in/jspui/handle/123456789/3604)
  • Lama, Achal, Jha, Girish K., Gurung, Bishal, Paul, Ranjit Kumar, Bharadwaj, Anshu, and Parsad, Rajender (2016). A comparative study on  time-delay neural network and garch models for forecasting agricultural commodity price volatility. Journal of the Indian Society of Agricultural Statistics, 70(1), 7-18. (http://krishi.icar.gov.in/jspui/handle/123456789/3606).
  • Mandal, B. N. and Ma, J. (2016). l1 regularized multiplicative iterative path algorithm for non-negative generalized linear models, Computational Statistics and Data Analysis, 101, 289-299.
  • Mandal, B. N., Dash, S., Parui, S. and Parsad, R. (2016). Orthogonal Latin hypercube designs with special reference to four factors, Statistics & Probability Letters, 119, 181-185.
  • Mandal, B.N., Dash, Sukanta, Parui, Shyamsundar and  Parsad, Rajender (2016). Orthogonal Latin hypercube designs with special reference to four factors. Statistics and Probability Letters, 119, 181-185. http://krishi.icar.gov.in/jspui/handle/123456789/3610.
  • Mandal, B.N., Gupta, V.K. and Parsad, Rajender (2016). Balanced sampling plans excluding adjacent units – An overview. Sankhyiki, Journal of Lady Shri Ram College, Delhi University, Delhi (Invited Paper), 17-28. http://krishi.icar.gov.in/jspui/handle/123456789/3605.
  • Mandal, B.N., Parsad, Rajender and Gupta, V.K. (2016). Cyclic circular balanced and strongly balanced cross over designs through integer programming. Communications-in-Statistics: Theory & Methods, 45(4), 859-871. http://dx.doi.org/10.1080/03610926.2013.853787, http://krishi.icar.gov.in/jspui/handle/ 123456789/4378.
  • Parui, Shyamsundar, Parsad, Rajender and Mandal, B.N. (2016). Construction of Latin hypercube designs with two factors. RASHI, 1(2), 1-6. http://krishi.icar.gov.in/jspui/handle/123456789/3609.
  • Pradhan, U. K., Lal, K., Dash, S. and Singh, K. N. (2016) Designs and Analysis of Mixture Experiments with Process Variable in smaller number of runs. Communication in Statistics: Theory and Methods, 46(1), 259-270.
  • Rajurkar, G.B., Patel, Neelam, Rajmohan, N., Rajput, T.B.S., Prathapar S.A. and Varghese, Cini. (2016). Irrigation application efficiency and uniformity of water distribution using multi-outlet pipe and resource conservation technologies. Journal of Applied and Natural Science. 8(4), 1868-1877.
  • Saha, N.D., Chaudhary, A., Singh, S.D., Walia, S., Das, T.K., 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(4s), 260-265.
  • Singh, N., Dash, S. and Khan, Y.J. (2016), Survival of chickpea, sesame, niger, castor and safflower seedsstored at low and ultra low moisture contents for 16-18 years,Seed Sci. & Technol., 44(3), 1-14
  • Singh, S., Dash, S., Rinu, K., Saha, S., Gupta, S., Mandjiny, S., Upadhyay, D. and Holmes, L.(2016) Nisin Production in a Two Liters Bioreactor Using Lactococcuslactis NCIM 2114, Journal of Medical and Biological Science Research, 2 (2), 21-26.
  • Varghese Eldho, Bhowmik Arpan, Jaggi Seema, Varghese Cini and Kaur Charanjit (2016). On the generation of cost effective response surface designs. Computers and Electronics in Agriculture, 133, 37-45.
  • Varghese Eldho, Jaggi Seema and Sharma, V. K. (2016). Rotatable response surface designs in the presence of differential neighbour effects from adjoining experimental units, Calcutta Statistical Association Bulletin, 67 (267-268), 163-186.
  • Varghese Eldho, Varghese Cini and Jaggi Seema (2016). A class of efficient row-column designs for Type III diallel cross experiments with specific combining abilities. Ind. Soc. Ag. Statistics, 70(2) 2016 123–130.

2015

  • Bhowmik Arpan, Jaggi Seema, Varghese Cini and Varghese Eldho (2015). Optimal block designs with interference effects from neighbouring units under a non-additive model. Statist: Theory Meth., 44(10), 2092-2103.
  • Bhowmik Arpan, Jaggi Seema, Varghese Cini and Varghese Eldho (2015). Trend free block designs balanced for interference effects from neighbouring experimental units. Journal of Combinatorics, Information and System Sciences, 39 (1-4), 117-133.
  • Bhowmik Arpan, Jaggi Seema, Varghese Cini and Varghese Eldho (2015). Trend free second order neighbour balanced block designs. Journal of the Indian Statistical Association, 53(1), 63-78.
  • Bhowmik Arpan, Varghese Eldho, Jaggi Seema and Varghese Cini (2015). Factorial experiments with minimum changes in run sequences, Ind. Soc. Ag. Statistics, 69 (3), 243-255.
  • Datta Anindita, Jaggi Seema, Varghese Cini and Varghese Eldho (2015). Some series of row-column designs with multiple units per cell. Calcutta Statistical Association Bulletin, 67 (265 & 266), 89-99.
  • Jaggi Seema, Varghese Cini, Varghese Eldho and Sharma Anu (2015). Web generation of experimental designs balanced for indirect effects of treatments (WEB-DBIE). Computers and Electronics in Agriculture, 111, 62–68.
  • Jerome, A., Pandey, A.K., and Sarkar, Susheel Kumar (2015). Homology modeling of single nuleotide polymorphisms in candidate genes controlling embryonic growth of buffalo. Ind. Jour. Anim. Sci, 85 (6), 578–583.
  • Kota, S., Singh, S. S., Singh, A. M., Mohapatra, T., Ahlawat, A. K., Brajendra, P. and Mandal, B. N. (2015). The Variation and Stability Analysis of Starch Pasting Properties among New Plant Type (NPT) Wheat Derivatives, Journal of Agricultural  Science and  Technology, 17, 1887-1902.
  • Kumar Arvind, Varghese Cini, Varghese Eldho and Jaggi Seema (2015). On the construction of designs with three-way blocking. Model Assisted Statistics and Applications, 10, 43-52.
  • Kumar Arvind, Varghese Cini, Varghese Eldho and Jaggi Seema (2015). Irregular Sudoku-type designs for animal experiments. Indian Journal of Animal Sciences, 85(9), 1046–1050.
  • Kumar, Roshan, Bhowmik, Arpan, Chakdar, Hillol, Elumalai, S. and Pabbi Sunil (2015). Biochemical characterization and diversity analysis of cyanobacteria isolated from different locations. VEGETOS, 28(1), 38-48.
  • Kumar, Sanjay, Tomar, B.S., Jain, S.K., Singh, Naveen, Parsad, Rajender and Munshi, A.D. (2015). Effect of planting time and density on plant growth, seed yield and quality attributes in onion (Allium cepa) cv. Pusa Riddhi. Indian Journal of Agricultural Sciences, 85 (12), 1578–85.
  • Mandal, B. N. (2015). Combinatorial Equivalence of Fractional Factorial Designs, Communications in Statistics – Simulation and Computation, 44(4), 1010-1019.
  • Mandal, B. N. (2015). Linear integer programming approach to construction of balanced incomplete block designs, Communications in Statistics-Simulation and Computation, 44(6), 1405-1411.
  • Mazumder, Chiranjit, Jha, Girish Kumar, Parsad, Rajender, Bhardwaj, Anshu and Kumari, Jyoti (2015). Principal component based fuzzy c-means algorithm for clustering lentil germplasm. Journal of the Indian Society of Agricultural Statistics, 69(3), 307-314, (http://krishi.icar.gov.in/jspui/handle/123456789/3607).
  • Nandi, P.K., Parsad, Rajender, and Gupta, V.K. (2015). Simultaneous optimization of incomplete multi-response experiments. Open Journal of Statistics, 5, 430-444 Published Online August 2015 in SciRes. doi​. http://dx.doi.org/10.4236/ojs.2015.55045. http://krishi.icar.gov.in/jspui/handle/123456789/4400.
  • Rajurkar, G.B., Patel, Neelam, Rajput, T.B.S. and Varghese, Cini. (2015). Effect of deficit irrigation on growth and yield of drip irrigated cabbage. Indian Journal of Agricultural Sciences, 85 (2), 189–193.
  • Rani, V., Dash, S., Nain, L., and Arora, A. (2015).Expression of novel glucose tolerant β-glucosidase on cell surface by Rhodotorulaglutinis isolate, Biocatalysis and Agricultural Biotechnology, 4(3), 380-387.
  • Sharma,P., Singh,Geeta, Sushil K. Sarkar, Singh,Rana P. (2015) Improving soil microbiology under ricewheat crop rotation in Indogangetic Plains by optimized resource management Environment Monitoring and Assessment. Volume 187, Issue 3.
  • Srivastava Sudhir, Varghese Cini, Jaggi Seema, Varghese Eldho (2015). Augmented partial diallel cross plans involving two sets of parental lin The Indian Journal of Genetics and Plant Breeding, 75(1), 105-109.
  • Varghese Cini, Varghese Eldho, Jaggi Seema and Bhowmik Arpan (2015). Experimental designs for open-pollination in polycross trials. Journal of Applied Statistics, 42(11), 2478-2484.
  • Varghese Cini, Varghese Eldho, Jaggi Seema and Parsad Rajender (2015). Row-column designs for diallel cross experiments with specific combining abilities. Journal of Indian Society of Agricultural Statistics, 69(2), 201-225.
  • Varghese, Eldho and Varghese, Cini. (2015). Variance balanced row-column designs involving diallel crosses incorporating specific combining abilities for comparing test lines with a control line. Communications in Statistics: Theory and Methods. DOI:10.1080/03610926.2015.1032428.

2014

  • Alam, N.M., Batra, P.K., Parsad, Rajender and Krishan Lal (2014). Multifactor mixture experiments: Construction and analysis. International Journal of Agricultural and Statistical Sciences, 10 (Supplement 1), 1-7, http://krishi.icar.gov.in/jspui/handle/123456789/3205.
  • V., Patil, Mani, Indra, Singh, Anupama and Varghese, Cini. (2014). Determination of physical and engineering properties of hydrogel granules for designing the mechanical hydrogel applicator. International Journal of Bio-resource and Stress Management, 5(2), 234-239.
  • Dash, Sukanta, Parsad, Rajender and Gupta, V.K. (2014). Efficient row-column designs with two rows. Journal of Indian Society of Agricultural Statistics, 68(3), 377-390. http://krishi.icar.gov.in/jspui/handle/123456789/4455.
  • Datta Anindita, Jaggi Seema, Varghese Cini and Varghese Eldho (2014). Structurally incomplete row-column designs with multiple units per cell. Statistics and Applications, 12(1&2), 71-79.
  • Kumar, D., Kumar, Pradeep, Singh, Pawan, Yadav, S.P., Sarkar, Susheel Kumar, Bharadwaj, A., and Yadav, P.S. (2014) Characteristics of frozen thawed semen in predicting the fertility of buffalo bulls. Ind. Jour. Anim. Sci, 84 (4), 389–392.
  • Mahajan, G.R., Pandey, R.N.,  Datta, S.C., Kumar, Dinesh,   Sahoo, R.N. and Parsad, Rajender (2014).  Fertilizer nitrogen, phosphorus and sulphur prescription for aromatic hybrid rice (Oryza sativa L.) using targeted yield approach.  Proceedings of the National Academy of Sciences, India – Section B: Biological Sciences,  84(3), 537-547. DOI: 10.1007/s40011-013-0268-5.
  • Mahajan, G.R., Pandey, R.N., Kumar, Dinesh, Datta, S.C., Sahoo, R.N. and Parsad, Rajender (2014). Development of critical values for the leaf color chart, SPAD and fieldscout CM 1000 for fixed time adjustable nitrogen management in aromatic hybrid rice (Oryza sativa L.). Communications in Soil Science and Plant Analysis, 45(14), 1877-1893. DOI: 10.1080/00103624.2014.909832.
  • Mandal, B.N., and Koukouvinos, C. (2014). Optimal multi-level supersaturated designs through integer programming, Statistics and Probability Letters, 84,183-191.
  • Mandal, B.N., Gupta, V.K. and Parsad, Rajender (2014). Construction of efficient multi-level k-circulant supersaturated design. Communications-in-Statistics: Theory & Methods, 43(3), 599-615, http://dx.doi.org/10.1080/03610926.2012.667483; http://www.tandfonline.com/doi/full/10.1080/03610926.2012.667483, http://krishi.icar.gov.in/jspui/handle/123456789/4654.
  • Mandal, B.N., Gupta, V.K. and Parsad, Rajender (2014). Efficient incomplete block designs through linear integer programming. American Journal of Mathematical and Management Sciences, 33(2), 110-124.
  • Panwar, Sanjeev, Singh, K.N., Kumar, Anil, Sarkar, Susheel Kumar, Paul, Ranjeet, Rathore, Abhishek, and Sivaramane, N. (2014). Forecasting of growth rates of wheat yield of Uttar Pradesh through non-linear growth models. Ind. Jour. Agril. Sci, 84 (7), 856–9.
  • Parsad, Rajender, Agarwal, Niti, Sreenath, P.R., and Mandal, B.N. (2014). Balanced treatment block designs with nested rows and columns. Journal of Combinatorics, Information and System Sciences, 39(1-2), 103-116.
  • Sarkar, S., Padaria, R. N., Vijayaragavan, K., Pathak, H., Kumar, P.,  Bhowmik, A. and Jha, G. K. (2014). Constructing a knowledge test to measure the knowledge level of farmers about climate change in arid ecosystem of India. International Journal of Bio-resource and stress management. 5(4), 530-555.
  • Varghese Cini, Jaggi Seema and Varghese Eldho (2014). Generalized incomplete trojan-type designs with unequal cell sizes. International Journal of Theoretical & Applied Sciences, 6(1), 50 -54.
  • Varghese Eldho, Jaggi Seema and Varghese Cini (2014). Neighbour balanced row-column designs. Statist: Theory Meth., 43, 1261-1276.
  • Yadachi, Shiddanagouda, Mani, Indra, Kalra, M.S., Lande, Satish and Varghese, Cini. (2014). Effect of coatings on physical and engineering properties of carrot (Daucus carota L.) seeds in relation to the planter design. Agricultural Mechanization in Asia, Africa and Latin America, 45(3), 64-68.

2013

  • Bhar, Lalmohan, Gupta, V.K. and Parsad, Rajender (2013). Detection of outliers in designed experiments in presence of masking. Statistics and Applications, 11(1&2), 147-160, http://krishi.icar.gov.in/jspui/handle/123456789/874.
  • Bhowmik Arpan, Jaggi Seema, Varghese Cini and Varghese Eldho (2013). Universally optimal second order neighbour designs. Model Assisted Statistics and Application, 8, 309–314.
  • Choudhary,V.K., Kumar, P.Suresh, Sarkar, Susheel Kumar and Yadav, J.S. (2013). Production potential, economic analysis and energy auditing for maize- vegetable based cropping systems in Eastern Himalayan Region, Arunachal Pradesh. Ind. Jour. Agril. Sci., 83(1), 110-115.
  • Dash, Sukanta, Parsad, Rajender and Gupta, V.K. (2013). Row-column designs for 2n factorial 2-colour microarray experiments for estimations of main effects and two factor interactions for orthogonal parameterization. Agricultural Research, 2(2), 172-182. DOI: 10.1007/s40003-013-0059-5; https://link.springer.com/article/10.1007/s40003-013-0059-5; http://krishi.icar.gov.in/jspui/handle/123456789/4456.
  • Gharde Yogita, Rai Anil and Jaggi Seema (2013). Bayesian prediction in spatial small area models. Journal of Indian Society of Agricultural Statistics, 67(3), 355-362.
  • Kaur Charanjit, Walia Suresh, Nagal Shweta, Walia Shweta, Singh Jashbir, Singh, B. B., Saha Supradeep, Singh Balraj, Kalia Pritam, Jaggi Seema and Sarika (2013). Functional quality and antioxidant composition of selected tomato (solanum lycopersicon l) cultivars grown in northern India. LWT – Food Science and Technology, 50, 139-145.
  • Kumar, Mukesh, Rajpit, T.B.S., Patel, Neelam, Sahoo, R.N. and Varghese, Cini. (2013). Performance evalution of drip-tape for irrigation under different operating pressures. Pusa AgriScience, 36, 58-63.
  • Arivalagan, Bhardwaj, R., Gangopadhyay, K.K., Prasad, T.V. and Sarkar, S.K. (2013). Mineral composition and their genetic variability analysis in eggplant (Solanummelongena L.) germplasm. Journal of Applied Botany and Food Quality, 86, 99 – 103.
  • Mahajan, G.R., Pandey, R.N., Datta, S.C., Kumar, Dinesh, Sahoo, R.N. and Parsad, Rajender (2013). Soil test based fertilizer recommendation of nitrogen, phosphorus and sulphur in wheat (Triticum aestivum L.) in an alluvial soil. International Journal of Agriculture, Environment and Biotechnology, 6(2), 271-281.
  • Sarika, Jaggi Seema and Sharma, V.K. (2013). First order rotatable designs incorporating neighbour effects. ARS Combinatoria, 112, 145-159.
  • Sarkar Kallol, Varghese Cini, Jaggi Seema and Varghese Eldho (2013). Balanced treatment-control row-column designs. International Journal of Theoretical & Applied Sciences, 5(2), 60-64.
  • Sharma Anu, Varghese Cini and Jaggi Seema (2013). A web solution for partially balanced incomplete block experimental designs. Computer and Electronics in Agriculture, 99, 132-134.
  • Singh, Deepak, Patel, Neelam, Rajput, T.B.S., Lata and Varghese, Cini. (2013). Study of soil water dynamics under bioline and inline drip laterals using ground water and waste water. Journal of Soil and Water Conservation. 12(1), 55-58.
  • Srivastava Sudhir, Varghese Cini, Jaggi Seema and Varghese Eldho (2013). Diallel cross designs for test versus control comparisons. The Indian Journal of Genetics and Plant Breeding, 73(2), 186-193.
  • Sud, U.C., Aditya, Kaustav, Chandra,  Hukum and Parsad,  Rajender (2013). Two stage sampling with two-phases at the second stage of sampling for estimation of finite population mean and under random response mechanism. Journal of Indian Society of Agricultural Statistics, 67(3), 305-317.
  • Varghese Cini, Jaggi Seema and Dwivedi Lokesh (2013). Designs involving varying temporal environments under factorial treatment structure. International Journal of Ecological Economics and Statistics, 28(1), 130-135.
  • Varghese Eldho, Jaggi Seema and Sarika (2013). Response surface model with neighbour effects and correlated observations. Model Assisted Statistics and Applications, 8(1), 41-49.
  • Varghese, Cini, Varghese, Eldho and Kumar, Arvind. (2013). Row-column designs for investigational products vs. control comparisons in veterinary trials. Indian Journal of Animal Sciences, 83 (8): 65–70.
  • Wasala, Samanthi K., Guleria, S.K., Sekhar, J.C., Mahajan, V., Srinivasan, K., Parsad, Rajender and Prasanna, B.M. (2013). Analysis of yield performance and genotype ´ environment effects on selected maize (zea mays) landrace accessions of India. Indian Journal of Agricultural Sciences, 83(3), 47-53.
  • Yadav, S.P., Sikka P., Kumar,D., Sarkar, Susheel, Pandey,A.K., Yadav, P.S., and Sethi, R. K. (2013). Variation in milk constituents during different parity and seasons in Murrah buffaloes. Jour. Anim. Sci,; 83(7), 747-751.

2012

  • Abeynayake, N.R., Jaggi, Seema and Varghese, Cini. (2012). Neighbour balanced block designs for test treatments-control comparisons. International Journal of Mathematics and Statistics. 12(2), 81-96.
  • Arora, S., Kanojia, Ashok K., Kumar,A., Sardana, H.R., and Sarkar, Susheel Kumar (2012). Impact of biopesticide formulation on tomato (Lycopersiconesculemtum): economics and environmental effects. Ind. Jour. Agril. Sci, 82(12), 1075-1078.
  • Banu Rashia, Singh Avtar, Malhotra, R., Gowane, G., Kumar, V., Jaggi Seema, Varghese, E., Gandhi, R.S., Chakravarty, A.K. and Raja, T.V. (2012). Comparison of different lactation curve models in Karan Fries cattle of India. J. Animal Sciences, 82(11), 1377–1380.
  • Bhowmik Arpan, Jaggi Seema, Varghese Eldho and Varghese Cini (2012). Block designs balanced for second order interference effects from neighbouring experimental units. Statistics and Applications, 10 (1&2), 1-12.
  • Chaudhary Vidhi, Prasanna Radha, Nain Lata, Dubey, S. C., Gupta Vishal, Singh Rajendra, Jaggi Seema and Bhatnagar, A. K. (2012). Bioefficacy of novel cyanobacteria-amended formulations in suppressing damping off disease in tomato seedlings. World Journal of Microbiology and Biotechnology, 28(12), 3301-10.
  • Dahiya Shashi, Chaturvedi, K.K., Jaggi Seema, Bharadwaj Anshu and Varghese Cini (2012). A digital education initiative in agriculture. Journal of Farming Systems Research and Development, 18(2), 175-179.
  • Dahiya Shashi, Jaggi Seema, Chaturvedi, K.K., Bhardwaj Anshu, Goyal, R.C and Varghese Cini (2012). An eLearning system for agricultural education. Indian Res. J. Ext. Edu., 12(3), 132-135.
  • Dalamu, Behera, T.K., Varghese, Cini and Khan, Swati. (2012). Genetic variability and character association analysis in bitter gourd (Momordica charantia L.). Pusa AgriScience, 35, 20-25.
  • Dash, S., Wahi, S.D. and Rao, A.R. (2012). Classification of maize genotypes by artificial neural network-based method: self-organizing feature map. Indian journal of agricultural science, 82(2), 161-163.
  • Gupta, V.K. and Parsad, Rajender (2012). Use of incomplete block designs in agricultural experiments. Indian Journal of Agronomy, 57(2), 107-116.
  • Jaggi Seema, Gill, A.S., Varghese Cini, Sharma, V.K., and Singh, N.P. (2012). Modelling the gram (Cicer Arietinum) yield under agroforestry system. Journal of Non-Timber Forest Products, 19(4), 275-278.
  • Lal, Krishan, Parsa, Rajender and Gupta, K. (2012). Robustness of block designs on the basis of pairwise treatment comparisons against missing data. Model Assisted Statistics and Applications, 7, 75-80, DOI:10.3233/MAS-2011-0213, http://krishi.icar.gov.in/jspui/handle/123456789/4399.
  • Mandal, B.N., Gupta, V.K. and Parsad, Rajender (2012). Generation of binary incomplete block design with a specified concurrence matrix. Journal of Statistics and Applications, 7(3-4), 121-138.
  • Mandal, B.N., Parsad, Rajender and Gupta, V.K. (2012). Doubly nested partially balanced incomplete block designs. Journal of Statistics and Applications, 7(3-4), 153-169.
  • Marathi, Balram, Guleria, Smriti, Mohapatra, Trilochan, Parsad, Rajender, M, Nagarajan, K.K., Vinod, Atwal, Salwinder S., Prabhu, Vinod K., Singh, Nagender K. and Singh, Ashok K. (2012). QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.). BMC Plant Biology, 1-19. doi:10.1186/1471-2229-12-137, http://krishi.icar.gov.in/jspui/handle/123456789/777.
  • Rajurkar, G., Patel, Neelam, Rajput, T.B.S. and Varghese, Cini. (2012). Soil water and nitrate dynamics under drip irrigated cabbage. Journal of Soil and Water Conservation, 11(3), 196 – 204.
  • Satpati, Subrata Kumar, Gupta, V.K., Parsad, Rajender and Aggarwal, M.L. (2012). Computer generated change over designs for correlated observations. Communications-in-Statistics: Theory & Methods, 41(20), 3786-3798, http://dx.doi.org/10.1080/03610926.2011.563010, http://krishi.icar.gov.in/jspui/handle/ 123456789/4379.
  • Sharma,R K., Singh J. K., Khanna, S., Phulia S. K., Sarkar S.K. and Singh Inderjeet (2012). Fetal age determination in Murrah buffaloes from days 22 through 60 with ultrasonography. Ind. Jour. Anim. Sci, 82 (4), 374–376.
  • Sud, U.C., Aditya, Kaustav, Chandra, Hukum and Parsad, Rajender (2012). Two stage sampling for estimation of population mean with sub-sampling of non-respondents. Journal of Indian Society of Agricultural Statistics, 66(3), 447-457.
  • Taksande, Nishikant, Sharma, Anu, Varghese, Cini, Jaggi, Seema and Lal, S.B.. (2012). Web-Enabled Software for Generation and Analysis of Partial Diallel Crosses. Journal of Indian Society of Agricultural Statistics, 66(2), 343-350.

List of Training Programs (including Workshops) Conducted

Sr No.Title of the trainingCoordinatorsDurationType of training (eg CAFT/Summer School/winter school/others)
1Experimental data analysisCini Varghese and Mohd. HarunJuly 26- Aug 08, 2017Training Programme for Technical Personnel under HRD unit of ICAR
2Data Analysis and Interpretation Rajender Parsad and Eldho VargheseMay 15-26, 2017For 38th and 39th Batch of ISS Probationers Resource Generation
3Data Analysis and InterpretationSeema Jaggi and BN MandalApril 24 to May 5, 2017Consultancy for ISS Probationers
4Basic Statistical Techniques using SASSusheel Kumar Sarkar,  Anindita Datta and Mohd HarunDecember,12-15, 2016Hindi workshop
5Statistical Techniques for Agricultural Data AnalysisSeema Jaggi and Arpan BhowmikNovember 2-11, 2016Training Programme for Technical Personnel under HRD unit of ICAR
6Advances in Experimental Data AnalysisEldho Varghese and Arpan BhowmikOctober 06-26, 2016CAFT
7Designing and Analysis of Cropping system ExperimentsAnil Kumar and Sukanta DashSeptember 7-27, 2016Winter School
8Experimental data analysisCini Varghese and B.N. Mandal24 Aug, 2016 to 06th SeptemberTraining Programme for Technical Personnel under HRD unit of ICAR
9Statistical advances for technological enhancement in agricultural research Arpan Bhowmik and Cini VargheseJanuary 19 -February 08, 2016CAFT
10Experimental  Data AnalysisSeema Jaggi and Eldho VargheseDecember 7-11, 2015Training Program for the Ph.D. Students of PG School, IARI
11International Training Programme on Importance of Statistical and Experimental Designs, Data Analysis and Biometrical Techniques in Agriculture Research Rajender Parsad,  Eldho Varghese and Sukanta DashNovember 17, 2014 - February 07, 2015Ministry of Agriculture, Irrigation and Livestock (MAIL), Afghanistan Resource Generation
13Data Analysis and InterpretationRajender Parsad and   Arpan BhowmikAugust 10-22, 2015For 36th and 37th batch of ISS Probationers Resource Generation
14Designing and Analysis of ExperimentsSusheel Kumar Sarkar and Sukanta DashApril 20 - 25, 2015Training for Technical personnel of ICAR
15Advanced Statistical Techniques in Horticulture Science Research” under the aegis of Centre of Advanced Faculty TrainingSukanta Dash and Susheel Kumar SarkarJanuary 02-22, 2015CAFT
17Data Analysis and InterpretationRajender Parsad and Eldho VargheseMay 05-23, 2014For ISS Probationers of XXXV Batch  Resource Generation
18Modular Course on Statistical Methods for Agricultural ResearchRajender Parsad, Eldho Varghese, Sukanta DashMarch 11- April 03, 2014 For 1st  Batch of Afghanistan National Agricultural Sciences and Technology University Students under International M.Sc. Programme for Afghan Nationals on Teaching of Post-Graduate courses in Agronomy
19Modular Course on Statistical Methods for Agricultural ResearchRajender Parsad, Eldho Varghese, Sukanta DashJuly 30 -August 25, 2016 For 2nd   Batch of Afghanistan National Agricultural Sciences and Technology University Students under International M.Sc. Programme for Afghan Nationals on Teaching of Post-Graduate courses in Agronomy
20Data Analysis using SASRajender ParsadJanuary 29-  February 05,  2014Under the aegis of NAIP Consortium SSCNARS
21Data Analysis Using SAS at IISS BhopalRajender Parsad L.M. Bhar Sanjay Srivastava (IISS, Bhopal) and   G. Somasundaram (IISS, Bhopal)December 09-13, 2013Under the aegis of NAIP Consortium SSCNARS
22Data Analysis using SASRajender ParsadJune 28-29, 2013RA/SRF of NAIP-PIU and IASRI, New Delhi  Under the aegis of NAIP Consortium SSCNARS
23Data Analysis and InterpretationRajender Parsad s  Cini Varghese and BN MandalJune 03-21, 2013For ISS Probationers Resource Generation
24Data Analysis using SAS at RVSKVV, GwaliorRajender Parsad, Seema Jaggi and VB Singh (RVSKVV, Gwalior)February18-23, 2013Under the aegis of NAIP Consortium SSCNARS
25Statistical Approaches for Genomic Data AnalysisSeema Jaggi and SarikaJanuary 7 - 19, 2013Under NAIP funded project Establishment of National Agricultural Bioinformatics Grid for ICAR
26Advances in Experimental Designs for the Development of Technologies in AgricultureEldho Varghese, Sukanta Dash and Arpan BhowmikOctober, 23-November, 12, 2013CAFT
27Processing and Analysis of DataCini Varghese, Susheel Kumar Sarkar and Anil Kumar.25-27 April, 2013Hindi workshop
28Advances in Statistical Methods for Animal ExperimentsSusheel Kumar Sarkar, Anil Kumar and KrishanLalOctober 01-21, 2013CAFT
29Processing and Analysis of DataCini Varghese and Susheel Kumar Sarkar27 November, 2012Hindi workshop
30Data Mining Using SAS Rajender Parsad and Samir Farooqui and Anshu BharadwajFebruary 06-11, 2012Under the aegis of NAIP Consortium SSCNARS
31Data Analysis Using SAS at NDUAT, FaizabadRajender Parsad, Seema Jaggi and  BVS Sisodia (NDUAT, Faizabad)March 19-24, 2012Under the aegis of NAIP Consortium SSCNARS
32Data Analysis and Interpretation Use of Statistical SoftwareRajender Parsad s Krishan Lal and Susheel Kumar SarkarMay 14-June 01, 2012For ISS Probationers Resource Generation
33Statistical Techniques for Collection and Analysis of DataSeema Jaggi and Tauqueer AhmadApril 25 - May 7, 2011Consultancy for Statistical Officials of State Government of Andhra Pradesh
34Data Analysis using SASRajender ParsadJanuary 10-15, 2011Under the aegis of NAIP Consortium SSCNARS
35Data Analysis of Agroforestry Experiments Using SASRajender ParsadJanuary 17-22, 2011For researchers of AICRP on Agroforestry  Under the aegis of NAIP Consortium SSCNARS
36Data Analysis using SASRajender ParsadJanuary 31 - February 05, 2011Under the aegis of NAIP Consortium SSCNARS
37Data Analysis using SAS Rajender Parsad A.K. Handa and Ajit from NRCAF, JhansiFebruary 21-26, 2011Under the aegis of NAIP Consortium SSCNARS
38Data Analysis Using SAS at DUVASU, MathuraRajender Parsad and  Seema Jaggi and  Rakesh Goel (DUVASU, Mathura)May 16-21, 2011Under the aegis of NAIP Consortium SSCNARS
39Data Analysis and Interpretation Use of Statistical SoftwareRajender Parsad s Krishan Lal and B.N. MandalMay 30 - June 17, 2011For ISS Probationers Resource Generation
40Data Analysis of Natural Resource Management Research Using SASRajender Parsad and   L.M. BharJune 20-25, 2011Under the aegis of NAIP Consortium SSCNARS
41Genetics/Genomics Data Analysis using SAS Rajender Parsad and   A.K. Paul and Sunil Archak (NBPGR, New Delhi)September 19-24, 2011Under the aegis of NAIP Consortium SSCNARS
42Data Analysis in Social Sciences Research using SAS Rajender Parsad;  Sivaramane, NOctober 10-15, 2011Under the aegis of NAIP Consortium SSCNARS
43Data Analysis and Interpretation in Farm Implements and Machinery Research Using SASRajender ParsadNovember 14-19, 2011Under the aegis of NAIP Consortium SSCNARS
44Research Methodology for Socio-Economic SurveysSeema Jaggi, Anil Rai and A.R. RaoOctober 19 - 4, 2010Consultancy for NCAER Research Personnel
45Data Analysis using Statistical Packages  Rajender Parsad and   Krishan Lal  and  Cini VargheseMarch 17 - April 09, 2010For ISS Probationers Resource Generation
46SAS A Comprehensive Overview Rajender ParsadPhase I June 23 - July 09, 2010 & Phase II September 13- October 01, 2010Under the aegis of NAIP Consortium SSCNARS
47Data Analysis using SAS Rajender ParsadAugust 17-22, 2010Under the aegis of NAIP Consortium SSCNARS
48SAS Genetics and Genomics Rajender ParsadOctober 04-08, 2010Under the aegis of NAIP Consortium SSCNARS
49Data Analysis using SAS Rajender Parsad, A.K. Paul and   Sivaramane,  NOctober 09-15, 2010Under the aegis of NAIP Consortium SSCNARS
50Data Analysis using SASRajender ParsadOctober 25-30, 2010Under the aegis of NAIP Consortium SSCNARS
51Data Analysis using SASRajender ParsadNovember 22-27, 2010Under the aegis of NAIP Consortium SSCNARS
52Advances in Design and Analysis of Agricultural ExperimentsRajender ParsadJanuary 14 - February 03, 2009Winter School
53Data Analysis with Statistical ToolsRajender Parsad and   Krishan LalApril 13 - May 08, 2009For ISS Probationers Resource Generation
54Experimental Designs and Data AnalysisRajender ParsadJune 01-05, 2009International Training Programme orgainzed at Tashkent (as invited Consultant with Computer and Biometrics Services)
55Advances in Design and Analysis of ExperimentsRajender ParsadNovember 08-19, 2009International Training Programme, ICARDA, Syria (as invited Consultant with Computer and Biometrics Services)
56Advances in Data Analytical TechniquesRajender Parsad and  Lalmohan BharFebruary 08 - 28, 2007Centre of Advanced Studies in Agricultural Statistics and Computer Application
57Agricultural Information Management, Experimental Design and Data AnalysisRajender ParsadJune 29 - July 17, 2008International Training Programme at ICARDA Syria (as invited Consultant with Computer and Biometrics Services)
58Design and Analysis of Experiments for Rapeseed-Mustard Varietal Trials (in collaboration with Directorate of Rapeseed and Mustard, Bharatpur)Rajender ParsadMay 10-11, 2006Others For researchers of AICRP on Rapeseed and Mustard
59Design and Analysis of Farmers Participatory Research Trials (Collaboration with Rice-wheat Consortium for Indo-Gangetic Plains, CIMMYT)Rajender ParsadAugust 10-12, 2006Collaboration with Indo- Gangetic Plains, CIMMYT  and ICAR-IASRI, New Delhi
60Experimental Statistics for E.I. DuPont India Pvt. LtdRajender ParsadNovember 25-26, 2004E.I. DuPont India Pvt. Ltd. Under Resource Generation (First Training Programme for Pvt. Sector)
61Efficient Designing of Experiments and Analysis of Experimental DataRajender Parsad and  Seema JaggiMarch 05-25, 2003Centre of Advanced Studies in Agricultural Statistics and Computer Application
62Design and Analysis of Agricultural ExperimentsR. Srivastava and  Rajender ParsadSeptember 15 - October 05, 2000Centre of Advanced Studies in Agricultural Statistics and Computer Application
63Statistical methods for agricultural research with use of softwareSeema Jaggi and Cini Varghese21 daysCAFT
64Elementary data analysisCini Varghese and Susheel Kumar Sarkar11-15, March,Others
65Unit Level Data Repository from Researchers PerspectiveCourse Director:   Rajender Parsad Course  Co-Directors: Susheel Sarkar and Arpan BhowmikMarch 24-25, 2017ICAR Research Data Repository for Knowledge Management
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