International Conference on
Statistics & Big data Bioinformatics in Agricultural Research

ICRISAT, Hyderabad, India

Extended Date for Abstract Submission : September 15, 2016

The International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)(http://www.icrisat.org) is organizing 70th Annual “International Conference on Statistics & Big Data Bioinformatics in Agricultural Research” at its headquarter ICRISAT, Patancheru, Telangana under annual meeting of Indian Society of Agricultural Statistics (ISAS)(http://isas.org.in). ISAS is the first society of statisticians with special interest in agriculture in India and is celebrating seven decades of its formation. Please see Conference Brochure for more details.

 

ISAS70 has various technical sessions on themes related to recent advances in statistics, phenotyping, bioinformatics, geo-statistics, data management and big data analytics. Delegates from different part of world will join this important event. Register now to become part of this important event.

 

Two parallel pre-conference workshops will also be organised on November 20, 2016.

  • Application of R in Bioinformatics
  • Breeding Data Management & Analysis using BMS & VSNi tools
Limited seats are available in these workshops with special discounts for students. Click here to register now.

   

David Bergvinson

Director General, ICRISAT, India

Dr. Bergvinson has a well-articulated passion for smallholder agriculture, and a strong desire to improve the lives of the hundreds of millions of impoverished small farmers and their families living in the semi-arid tropics of Asia and Sub-Saharan Africa. He regards himself as an agent of change, and he possesses a clear vision for how science and partnerships can come together to accelerate the pace of development in the world's poorest and most disadvantaged agrarian regions.

Trilochan Mohapatra

Secretary, DARE & Director General, ICAR, India

Dr. Trilochan Mohapatra holding the position of Secretary, Department of Agricultural Research and Education & Director General, ICAR. Prior to this he worked as Director-cum-Vice Chancellor of the Indian Agricultural Research Institute (IARI). Mohapatra is a scientist working in the area of molecular genetics and genomics. He has over 145 research papers in national and international journals of repute and several book chapters.His research accomplishments include development of the first high yielding Basmati rice variety resistant to bacterial leaf blight through molecular marker assisted selection, and physical mapping and genome sequencing of rice and tomato. His contribution to science is reflected from high h-index and i10 index.

Peter Carberry

Deputy Director General-Research, ICRISAT, India

Dr. Peter Carberry, an Australian national, is the Deputy Director General- Research, ICRISAT. Dr. Carberry received his PhD in Agriculture from the University of Sydney. Before joining ICRISAT, Peter was Chief Research Scientist and Partnership Leader (CSIRO-DFAT Africa Food Security Initiative), Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia. His expertise is in crop physiology and in the development and application of systems models. He is a key developer of the Agricultural Production Systems Simulator (APSIM) cropping systems model.

S. Ayyappan

Former Secretary (DARE) & DG-ICAR, India

Dr. Ayyappan is the former Secretary of the Department of Agricultural Research and Education (DARE) of the Ministry of Agriculture of India. From 2006 to 2008, Dr. Ayyappan served in the Ministry of Agriculture’s Department of Animal Husbandry, Dairying, and Fisheries as Founder-Chief Executive of the National Fisheries Development Board. It is where he established the Board’s infrastructure and programs, including the Expert Group on Deep Sea Fisheries. He has chaired numerous committees, working groups, and task forces in India’s Ministry of Agriculture. This includes the Expert Committee for Development of Freshwater Aquaculture (2000-2001), the Working Group to formulate the Model Bill for Inland Fisheries and Aquaculture (2004), and the Task Force on Aquaculture and Marine Biotechnology (2006-2009).

Reinhard Simon

Bioinformatics Scientist, CIP, Peru

Dr. Reinhard Simon is Data scientist with a biological background starting with farming to conducting field trials to working with farmers groups in seed production to applying molecular biology to breeding and genetic resources management and, as of late, using informatics for more effective use of field and lab data. Experience in data mining, machine learning, high performance computing, parallel computing and cloud computing. Google Scholar: http://scholar.google.com.pe/citations?user=NVEFblESICwJ

Joanna Kane-Potaka

Director-Strategic Marketing & Communication , ICRISAT, India

Ms. Joanna Kane-Potaka, an Australian national, is the Director of Strategic Marketing and Communication, ICRISAT. Ms. Potaka has a Master of Science degree in Global Marketing. Prior to joining ICRISAT, she was Director, Communications and Marketing Information and Knowledge Group, IWMI. She was also Head, Information Management and Marketing, Bioversity International and Information and Communications Leader, WorldFish Center. She began her career as an agricultural economist with the Australian Bureau of Agricultural and Resource Economics and later moved into market research in the agribusiness area of the Queensland Department of Primary Industries.

Saumyadipta Pyne

Professor, IIPH, India

Dr. Saumyadipta Pyne joined as Professor at the Indian Institute of Public Health, Hyderabad, in late 2015. Formerly, he held the prestigious PC Mahalanobis Chair while being Professor and Head of Bioinformatics, in CR Rao Advanced Institute of Mathematics, Statistics and Computer Science. He is also Remote Research Associate of Broad Institute of MIT and Harvard University, USA. Dr. Saumyadipta Pyne research interests include Big Data in Life Sciences and Health Informatics, Computational Statistics and High-dimensional Data Modeling. He is actively engaged in promoting Big Data research and training activities in India and abroad.

Fred van Eeuwijk

Professor, Wageningen University, The Netherlands

Dr. Fred van Eeuwijk is Professor in Applied Statistics, Wageningen University, The Netherlands. Dr. Eeuwijk studied Biology and Philosophy at Utrecht Univeristy in the Netherlands, where he graduated in 1985. He worked as a statistician at Plant Research International (1985-1996) , associate profeesor in Statistics at Wageningen University (1997-2000), associate professor in Plant Breeding at the same university (2001-2006) and in October 2006 full professor in Applied Statistics, again in Wageningen. He has more than 20 years of experience in the field of plant genetics and applied statistics. His main research topics include the statistical analysis of GXE and the development of QTL mapping methodology.

Medha Devare

Data and Knowledge Manager, CGIAR System Office, France.

Dr. Medha Devare is the Data and Knowledge Manager at the CGIAR System Office. She is a scientist with expertise in agronomy, microbial ecology, and bioinformatics tools, but is equally comfortable in the data and knowledge management arena, with experience in the development and application of standard vocabularies, ontologies, and semantic web tools and approaches. Medha works across CGIAR’s fifteen Centers and Research Programs to coordinate a consistent approach to Open Access and Open Data, and facilitate management and dissemination of CGIAR research outputs via FAIR principles (Findable, Accessible, Interoperable, Reusable).

Chandrashekhar Biradar

Principal Scientist, Head-Geoinformatics Unit, ICARDA, Amman, Jordan

Dr. Chandrashekhar Biradar is a principal agro-ecosystems scientist and head of the Geoinformatics Unit at ICARDA. He is distinguished scientist in the field of geospatial science, technology and application. He has multidisciplinary science and farming background with BSc in agricultural sciences, Masters in genetic engineering and PhD in remote sensing and environmental sciences. Then he severed as at post-doctoral fellow at IWMI, and research scientist at the Institute for the Study of Earth, Ocean and Space (EOS) at the University of New Hampshire, USA, and research professor at the University of Oklahoma, USA while working on number of federally funded projects. He has produced the first satellite sensor based innovative methods for mapping global croplands, water productivity, impact assessments, and dynamics of agri-food systems under changing climate and demography. He has authored/co-authored over 180 publications which include 51 peer reviewed journal publications, 18 books/chapters, over 100 other publications.

Kelly R Robbins

Quantitative Geneticist, Cornell University, USA

Dr. Kelly Robbins is the Director of the Genomic Open-source Breeding Informatics Initiative at Cornell University. Dr. Robbins studied Animal Breeding and Statistical Genetics at the University of Georgia where he graduated in 2007. He worked as a quantitative geneticist at Dow AgroSciences (2008-2015) where his research centered on the use of mixed models, Bayesian methodologies, and machine learning algorithms for the modeling of genomic data with applications in plant breeding and gene discovery. His current research focuses on the development of computation tools and databases for management and integration of genomic information into breeding programs focused on developing improved cultivars for South Asia and Sub-Saharan Africa.

Dietrich Borchardt

Sugarbeet Breeder at KWS in Einbeck, Germany

Dr. Dietrich Borchardt is working as Sugarbeet Breeder at KWS in Einbeck, Germany, and specialized in applied molecular breeding. Dr. Dietrich studied Agriculture in Kiel and Plant Breeding in Stuttgart Hohenheim. Since his PhD in 1994 on selection theory and optimizing breeding schemes, his main interest is to translate modern molecular techniques into breeding application. A strong technical development in combination with statistical tools in trait mapping strongly increased the power and efficiency of plant breeding.

U. C. Sud

Director IASRI, Pusa, New Delhi, India

Dr. U. C. Sud is presently working as Director ICAR-Indian Agricultural Statistics Research Institute (IASRI), Library Avenue, Pusa, New Delhi. Prior to joining as Director, ICAR-IASRI, he worked as Head, Division of Sample Survey, IASRI. His areas of interest include small area estimation, use of calibration approach for estimation of finite population parameters, methodology development for estimation of parameters relating to crop and livestock sectors.

Rajeev Gupta

Principal Scientist, Theme Leader-Genomics & Trait Discovery, ICRISAT, India

Dr. Rajeev Gupta, an American national, is a Principal Scientist and working as a Theme Leader for Trait Discovery and Pre-breeding at ICRISAT. Dr. Gupta has a PhD in Plant Molecular Biology from University of Cambridge. UK. Prior to joining ICRISAT, he was Research Scientist (Lead) at DuPont Pioneer, USA, since 2003, He also worked at the University of California, Berkeley, USA during  1997-2003 as Post-doctoral Researcher and Assistant Specialist. He worked as Research Fellow at the Punjab Agriculture University (PAU) and as Agricultural Development Officer, Punjab State Government, India during 1991-1993.

Jode Edwards

Research Geneticist, U.S. Department of Agriculture-Agricultural Research Service, U.S.A.

Dr. Jode Edwards is a Research Geneticist with the U.S. Department of Agriculture-Agricultural Research Service. Dr. Edwards’ research is in the area of Maize Quantitative Genetics with primary efforts in the areas of maize plant density response, genotype by environment interaction, and application of Bayesian Statistics to analysis of multi-environment plant breeding trials. Dr. Edwards’ work in Bayesian statistics is focused on using the Bayes paradigm to obtain optimal estimators and comparisons in data sets with heterogeneous data quality, heterogeneous stability of cultivars, and with unbalanced replication. He has done primary research on Bayes approaches in addition to regularly applying Bayesian approaches to his own research on plant density response and genotype by environment interaction.

Valentin Wimmer

Central statistic unit for KWS R&D in Einbeck, Germany

Dr. Valentin Wimmer is working within the central statistic unit for KWS R&D in Einbeck, Germany. His working areas include marker statistic applications (genomic prediction, genome-wide association studies, QTL mapping) as well as field trial analysis. He received B.Sc. and M.Sc. degrees in statistics from the university of Munich and a Ph.D. in plant breeding from the Technische Universität München. His dissertation was concerned with the efficiency of statistical methods for genome-based prediction. During his PhD, he designed and contributed to the synbreed R package providing a framework for the analysis of genomic prediction data.

Padam Singh

Director-Invision Communications and Research Private Limited, New Delhi, India

Dr. Padam Singh has held many important positions in Government of India. He has been a Member of National Statistical Commission, GOI during 2006-09. He has served as Additional DG ICMR during 1997-2004, and Director National Institute of Medical Statistics during 1987-97. He has worked as Joint Adviser, Planning Commission during 1979-87 and Professor of Statistics at PUSA Institute 1975-79. Dr. Padam Singh has been involved in the evaluation of National Programmes. He has steered many Operational Research studies of national relevance. The findings of his applied and operational research have been used in modifying national programmes. Has published over 100 research papers in journals of national and international repute.

Marcos Malosetti

Researcher-Wageningen University, Wageningen

Dr. Marcos Malosetti studied Agronomy in Universidad de la República, Uruguay where he graduated in 1996. He worked in the Plant Breeding group until 2000 where he started his postgraduate studies in the Netherlands. In 2002 obtained his MSc degree at Wageningen University, and in 2006 completed his PhD disertation at the same University. Since 1996 his activities involved research and teaching in the field of quantitative genetics applied to plant breeding, with a strong component on the development and use of statistical methods. The focus of the work has been on the analysis of complex data sets (i.e. multi-environment data, multiple traits data, etc), and its integration with molecular marker techniques with the objective of understanding the variation of quantitative traits.

Murari Singh

Senior Biometrician, ICARDA, Amman, Jordan

Dr. Murari Singh is the Senior Biometrician and Executive Assistant to the Deputy Director General – Research at the International Center for Agricultural Research for Dry Areas (ICARDA). He holds a Ph.D. in Agricultural Statistics, with a Major in Design of Experiments and Minors in Genetic Statistics and Agricultural Economics, from the Indian Agricultural Research Institute, New Delhi, India. He is a Professional Statistician accredited by Statistical Society of Canada. Over the past 38 years, he has served in various capacities, including assistant Professor, Associate Professor, Scientist, Statistician and Senior Biometrician – at three Indian institutions, three North American Universities and two CGIAR Centers.

K. N. Singh

Head, Forecasting and Agriculture Systems Modeling, ICAR-IASRI, New Delhi, India

Currently Dr. K. N. Singh is Head of Forecasting and Agriculture Systems Modeling division at ICAR-IASRI, New Delhi, he pursued Ph.D degree in Agricultural Statistics from ICAR- Indian agricultural Research Institute, New Delhi in 1991. Recently completed an international collaborative research project under EU-India framework of social research. Developed the first “Soil Test Crop Response Based Fertilizer Recommendation System” for Targeted Yield(s) of Crops, Soil test data generated through soil testing laboratories of the country have been used to prepare soil fertility maps of different states. Developed methodology for developing geo-referenced soil nutrient maps using GPS and GIS.

J. P. Singh Joorel

Dean, Faculty of Mathematical Sciences at University of Jammu, India

Dr. J. P. Singh is Dean, Faculty of Mathematical Sciences at University of Jammu, Tawi - Jammu, he pursued Ph.D degree from Institute of Social Sciences, Agra University, Agra. He has twenty nine years of Post Graduate teaching and research experience at various positions in different universities such as Jammu University, Jammu, J&K, Dr Y S Parmar University of Horticulture & Forestry, Solan, Himachal Pradesh, Panjab University, Chandigarh, Agra College, Agra, Uttar Pradesh etc.

Seema Jaggi

Head, Division of Design of Experiments, IASRI, New Delhi, India

Dr. Seema Jaggi is Head, Division of Design of Experiments and also working as Professor (Agricultural Statistics) and Incharge (Training Administration Cell), ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi -110 012. She has more than 24 years of experience on Block and row-column designs, optimal and robust designs for tests vs. control(s) comparisons, designs incorporating neighbour effects, crossover designs, mating-environmental designs, response surface designs, trend-free designs, statistical computing and statistical genomics. She has handled various national and international projects, guided more than 18 research scholars and have more than 100 publications to her credit.

Donghui Ma

Chief Executive Officer, VSN China / Biosci Thailand

Anil Rai

Head & Principal Scientist, Centre for Agricultural Bioinformatics, IASRI, New Delhi, India

Dr. Anil Rai is Head, Centre of Agricultural Bioinformatics at IASRI and also working as Scheme coordinator for "Network Project on Agricultural Bioinformatics and Computational Biology under Centre for Agricultural Bioinformatics Scheme" project. He has received Ph.D. for his research on agricultural statistics from Indian Agricultural Research Institute, New Delhi.

Hukum Chandra

ICAR- National Fellow & Principal Scientist at Indian Agricultural Statistics Research Institute, New Delhi, India

Dr. Hukum Chandra is ICAR- National Fellow & Principal Scientist at Indian Agricultural Statistics Research Institute, New Delhi, India. He did his PhD from the University of Southampton, United Kingdom and Post Doctorate Research from University of Wollongong, Australia. His main research areas include Sample Survey Design and Analysis, Small Area Estimation, Bootstrap Methods, Statistical Modelling and Data Analysis, Statistical Methodology for Improvement of Agricultural Statistics.

Himadri Ghosh

Principal Scientist, Division of Statistical Genetics, IASRI, New Delhi, India

Dr. Himadri Ghosh started his research carrier in the area of designing diallel cross experiments under Dr. M. N. Das. He explained the practical aspect of partial diallel cross which led to understand the subject in the light of random effects modelling of diallel cross experiment. The most heartening outcome of the work is that all the optimality results in case of fixed effects model have been shown to remain valid in random effects model. Perhaps, for the first time an unbiased estimator of ratio of variance components have been proposed.

Jens Möhring

Biostatistican, University of Hohenheim, Stuttgart, Germany

Dr. Möhring is associated scientists working in teaching and research in the Biostatistic unit at the University of Hohenheim, Stuttgart, Germany. After finishing his study of agriculture biology in 2003 he made his PhD in biostatistics in the work group of Prof. Piepho at the same university. His research interest are the optimization of field and experimental designs in cultivar and plant breeding science. He focuses on the application of mixed models on multi-environmental data and their sophisticated analysis as a pre-requirement for genetic (marker-based) analysis.

A. K. Choubey

Head, Division of Computer Applications, IASRI, New Delhi, India

Dr. A.K. Choubey is Head, Computer Applications Division at ICAR-Indian Agricultural Statistics Research Institute, New Delhi and also Project Investigator of the project entitled “Implementation of ICAR_ERP, Unified Communication and Web Hosting Solution in ICAR”. He has implemented variety of projects involving development of national level Close-User Group Networks, large databases, Information Systems, and Decision Support Systems using Business Intelligence techniques in agriculture sector.

Manoj Chacko

Assistant Professor, Department of Statistics at the University of Kerala, India

Dr. Manoj Chacko is working as Assistant Professor in the Department of Statistics at the University of Kerala, India. He received his Ph.D. in Statistics from the Department of Statistics, University of Kerala, Trivandrum in 2007. He did his Post-Doctoral research at University of Nevada Las Vegas, Nevada, USA in 2015. His research interests include Bayesian statistics, record values, order statistics and ranked set sampling.

Lal Mohan Bhar

Head, Division of Statistical Genetics, IASRI, New Delhi, India

Dr. Lal Mohan Bhar is Head, Division of Statistical Genetics, ICAR-IASRI, New Delhi. Primarily, he is interested in developing advanced statistical tools for agricultural research. He has developed many statistical models both linear and non-linear for forecasting various aspects in agriculture. Currently he is engaged in developing statistical techniques for prediction genomic values required in plant and animal breeding programmes.

Rajender Parsad

Principal Scientist, Division of Design of Experiments, IASRI, New Delhi, India

Dr. Rajender Parsad is a Principal Scientist and Former Head, Division of Design of Experiments at ICAR-Indian Agricultural Statistics Research Institute, New Delhi. He has made important and useful research contributions to both theoretical and applied aspects of Agricultural Statistics in general and Design of Experiments and Sampling Theory in particular. His research has received wide acceptance and appreciation both at National and International level.

Keith Gardner

Statistical Geneticist, NIAB, United Kingdom

Dr Keith Gardner is a statistical geneticist at NIAB in the UK. His work focuses on the genetic analysis of complex data sets in crops, including QTL mapping in multi-parent populations, association genetics and genomic selection. He is also involved in teaching quantitative and population genetics, as they apply to plant breeding. His PhD and his previous research experience were in evolutionary genetics, where he used large genetic datasets to address natural history and conservation questions.

Naga Manohar Velpuri

Senior Scientist, ASRC Federal, U.S.A.

Dr. Naga Manohar Velpuri is a Senior Scientist for ASRC Federal, contractor to the United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center and adjunct professor with South Dakota State University, USA. He earned his PhD for his research on the operational use of remote sensing and hydrologic modeling techniques for monitoring surface water bodies in the remote pastoral regions of Africa. His research interests are focused on the overlapping areas of agriculture, surface hydrology, remote sensing, and climate change. Current research projects broadly cover understanding (a) multi-scale watershed hydrologic processes (b) variability in surface water storage using multi-source satellite data (c) climate and human impacts on water resources availability (d) analysis of water availability and use in agriculture and (e) the use of big data analytics in remote sensing hydrology. Earlier he worked in several national and international organizations (SDSU, UNEP, IWMI, University of Cambridge, INCOIS, and NIRD) in various capacities. He has more than 40 publications in the form of peer-reviewed international journals, book chapters and research reports.

A. R. Rao

Principal Scientist, Centre for Agricultural Bioinformatics, IASRI, New Delhi, India

A. R. Rao is working as a Principal Scientist at Centre for Agricultural Bioinformatics (CABin), ICAR-Indian Agricultural Statistics Research Institute, New Delhi. He did his Ph.D. in Agricultural Statistics from ICAR-Indian Agricultural Research Institute (IARI), New Delhi and has got post-doctoral work experience in Bioinformatics from Cold Spring Harbor Laboratory, New York and University of Washington, Seattle, USA. He is Faculty Member and Research guide in the disciplines of Agricultural Statistics and Bioinformatics, Post Graduate School, Indian Agricultural Research Institute, New Delhi. His main research interests are Quantitative Genetics, Statistical Genomics, Bioinformatics and Computational Biology. He played a lead role in establishing centralized lab facilities and introducing the research, teaching and training activities in Bioinformatics at the Institute.

Tauqueer

Head, Division of Sample Surveys, IASRI, New Delhi, India

Dr. Tauqueer Ahmad is Head, Division of Sample Surveys at ICAR-IASRI, New Delhi, India and is handling survey component of a National level CHAMAN project as Project Leader. He has been instrumental in getting the on-going International project awarded to ICAR-IASRI by FAO of the United Nations as Co-Principal Investigator. He did his Ph.D. in agricultural statistics from ICAR-Indian Agricultural Research Institute, New Delhi. His area of specialization is sample surveys, remote sensing and GIS. He has more than 18 years of experience in conducting basic and applied research in the area of variance estimation in the context of sample survey, ranked set sampling, adaptive cluster sampling, development of sampling methodologies, impact assessment, post harvest losses, application of remote sensing and GIS in agricultural surveys etc.

B.V.S. Sisodia

Professor & Head, Department of Agricultural Statistics, N.D. University of Agriculture & Technology , Faizabad, India

Dr. B.V.S. Sisodia is presently working as Professor and Head, Department of Agricultural Statistics at Narendra Deva University of Agriculture & Technology, Kumarganj, Faizabad. Uttar Pradesh. Dr. Sisodia is the first one in the discipline of Agril. Statistics who received Jawahar Lal Nehru Award by ICAR in 1980 on his Ph.D. thesis work Entitled “on Prelirninary Test Estimators in Repeated Surveys”.

Sudeep Marwaha

Principal Scientist, Division of Computer Applications, IASRI, New Delhi, India

Dr. Sudeep Marwaha is a Principal Scientist and Professor (Computer Applications) in the Division of Computer Applications, ICAR-IASRI, New Delhi. He has over 17 years of experience in designing, development and implementation of national level Management Information Systems, Expert Systems, Enterprise Resource Planning (ERP) Systems. He is a Principal Investigator of many national level projects like Management System for Post Graduate Education, National Information System on Agriculture Education Network, Half Yearly Progress Monitoring System for ICAR Scientists, Agri Daksh- A tool for building online expert system in crops etc.

Muni Srivastava

Professor Emeritus, University of Toronto, Canada

Dr. Muni Srivastava is Professor Emeritus at the University of Toronto which he joined in 1963 and served as full professor from 1972 to 2001. He received his PhD in 1964 from Stanford University under the supervision of Professor Charles Stein. Since then his research and teaching interest were in diverse areas including sequential analysis, asymptotic methods robustness, quality control theory, Bayesian analysis and multivariate analysis.

Abhishek Rathore

Senior Scientist, Theme Leader-Statistics, Bioinformatics & Data Management, ICRISAT, India

Dr. Abhishek Rathore is working as a Senior Scientist (Biometrics) at International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), headquartered at Patancheru, Telangana, India with extensive experience in Design of Efficient Experimental Designs, Analysis of Experimental Data, Multi-Environment Analysis (GxE), Mixed Model Analysis, Nonlinear Statistical Modeling, Genome Wide Association Analysis (GWAS), QTL Mapping, Genetic Linkage Map Construction, Genomic Selection (GS), Marker Assisted Recurrent Selection (MARS), Programming in C, C++, Database Development, Management and Sharing. Excellent knowledge of statistical software including SAS, GenStat and R.

Days Remaining & Conference Sessions

Opening Session

  • Ralph W Cummings Auditorium
  • 08:30 - 09:30

Design of Experiments & Phenotyping

  • Ralph W Cummings Auditorium
  • 09:30 - 11:30

Bioinformatics

  • Ralph W Cummings Auditorium
  • 11:30 - 13:30

Data Science Teaching & Scientific Communication

  • Ralph W Cummings Auditorium
  • 14:30 - 16:30

Open Sources Statistical Computing

  • Ralph W Cummings Auditorium
  • 16:30 - 18:30

Big Data Analytics

  • Ralph W Cummings Auditorium
  • 09:00 - 11:00

Statistical Genetics & Genomics

  • Ralph W Cummings Auditorium
  • 11:00 - 13:00

Genomic Selection & Genome-Wide Association Mapping

  • Ralph W Cummings Auditorium
  • 14:00 - 16:00

Bayesian Statistics

  • Ralph W Cummings Auditorium
  • 16:00 - 18:00

Geostatistics & Remote Sensing

  • Ralph W Cummings Auditorium
  • 08:00 - 10:00

Statistical Modelling & Forecasting

  • Ralph W Cummings Auditorium
  • 10:00 - 12:00

Data Management

  • Ralph W Cummings Auditorium
  • 13:00 - 15:00

Advances in Statistical Sampling

  • Ralph W Cummings Auditorium
  • 15:00 - 17:00

Plenary Session

  • Ralph W Cummings Auditorium
  • 17:00 - 18:00

Regular Registrations After August 31, 2016

  • Students

    Special fee for Students from around the world

    ₹ 4,000
  • Delegates (DC)

    Special fee for Delegates from DC

    ₹ 6,000
  • Delegates (Non DC)

    Click below to register for Delegates from Non DC

    ₹ 10,000

Sponsors

ICAR

The Indian Council of Agricultural Research (ICAR) is an autonomous organisation under the Department of Agricultural Research and Education (DARE), Ministry of Agriculture and Farmers Welfare , Government of India. Formerly known as Imperial Council of Agricultural Research, it was established on 16 July 1929 as a registered society under the Societies Registration Act, 1860 in pursuance of the report of the Royal Commission on Agriculture. The ICAR has its headquarters at New Delhi. The Council is the apex body for co-ordinating, guiding and managing research and education in agriculture including horticulture, fisheries and animal sciences in the entire country. With 101 ICAR institutes and 71 agricultural universities spread across the country this is one of the largest national agricultural systems in the world.The ICAR has played a pioneering role in ushering Green Revolution and subsequent developments in agriculture in India through its research and technology development that has enabled the country to increase the production.

ICRISAT

The International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) is a non-profit, non-political organization that conducts agricultural research for development in Asia and sub-Saharan Africa with a wide array of partners throughout the world. Covering 6.5 million square kilometers of land in 55 countries, the semi-arid or dryland tropics has over 2 billion people, and 644 million of these are the poorest of the poor. ICRISAT and its partners help empower these poor people to overcome poverty, hunger and a degraded environment through better agriculture. ICRISAT is headquartered in Hyderabad, Telangana, India, with two regional hubs and six country offices in sub-Saharan Africa. It belongs to the Consortium of Centers supported by the Consultative Group on International Agricultural Research (CGIAR). ICRISAT conducts research on five highly nutritious, drought-tolerant crops – chickpea, pigeonpea, pearl millet, sorghum and groundnut. It also develops sustainable management of semi-arid tropic (SAT) systems through efficient and sustainable management of natural resources.

VSNi

VSN International Ltd (VSNi) is a data analysis and statistical software development company, providing comprehensive statistical and data analysis to a variety of different markets. We focus our products primarily on the biological and life sciences industry: GenStat – which offers a vast range of statistical techniques for both the novice and the experienced user. ASReml  – specifically designed for fitting mixed models for large datasets, with unmatched model flexibility and high speed. Based in the UK, VSNi is becoming one of the world leaders in data analysis solutions, with a thriving international user base across more than 100 countries. Across the world, the VSNi Group is helping customers to realise the importance of these advancements and more importantly to solve real world problems. Our employees and collaborators; drawn principally from the fields of academia, technology and data analytics, are in the UK, China, New Zealand, Thailand, Australia, USA, Netherlands, Mexico and Philippines.

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