Statistical Genetics Division- Scientific Staff

Principal Scientist & Head, Division of Statistical Genetics

Room No. 112, Training & Administrative Block, ICAR-IASRI

Official E-mail:         lm.bhar@icar.gov.in
Phone (O).:                25848720
Research interests:   Statistical Genetics, Design of experiments, Statistical Modelling
Courses  Offered:    Regression Analysis (AS-603) and Statistical Genetics(AS-566)

 

Dr. L. M. Bhar

Important projects:

            Ongoing:

Sr No. Title of the project Project team Duration Funding agency
1 Development of Rank Based Stability Measures for Selecting Genotypes Prakash Kumar, A K  Paul, Samarendra Das, L M Bhar 10.09.2015 to 31.08.2017 ICAR-IASRI, New Delhi
2

Stochastic differential equation models and their applications to agriculture.

 

 Prajneshu, Himadri Ghosh, L M Bhar 6.11.2015 to 05.11.2018 DST
3 Study of Long Memory and Periodicities in Climate Variables in Different Agro-Climatic Zones of India Ranjit Paul, L M Bhar, A K Paul 19.04.2017 to 18.05.2020 ICAR-IASRI, New Delhi

            Completed:

Sr No. Title of the project Project team Duration Funding agency
1 Designs for Mixture Experiments in Agriculture Krishan Lal, VK Gupta, PK Batra, Lalmohan Bhar 2.5  years ICAR-IASRI, New Delhi
2 A Study on Multiple Bio-assays L M Bhar and V K Gupta 1.5 years National Professor Fund
3 Analysis of Experimental Designs with t-Family of Error Distribution Krishan Lal, Rajender Parsad , VK Gupta and Lalmohan Bhar 2  years ICAR-IASRI, New Delhi
4 Designs for Single Factor and Multifactor Experiments and Their Application in Agricultural System Research (A scheme under National Professor (ICAR)) V K Gupta and L M Bhar 9 years National Professor Fund
5 Strengthening Statistical Computing in NARS (Under NAIP) Rajender Parsad, PK Malhotra , VK Mahajan, Seema Jaggi, Samir Farooqui, Ramasubramanian V, LM Bhar, AK Paul and N Sivaramane 3 years NAIP
6  Planning, designing and analysis of data relating to experiments for AICRP on long-term fertilizer experiments L M Bhar From IASRI 1 year 1 month ICAR-IASRI, New Delhi
7 Development of forecasting methodology for fish production from ponds of upland N Okendro Singh, Sanjeev Panwar , LM Bhar and Ranjana Agrawal 2 years 6 months ICAR-IASRI, New Delhi
8 Outliers in designed experiments. LM Bhar, Rajender Parsad, VK Gupta 3  years AP Cess Fund, ICAR
9 Development of weather based forewarning system for crop pests and diseases. Ranjana Agrawal, SC Mehta, LM Bhar, Amrender Kumar 3 years NATP
10 Modeling of forecasting of crop yield using weather parameters and agricultural inputs (Funded through AP Cess Fund, ICAR). Ranjana Agrawal, Asha Saksena, LM Bhar, Amrender Kumar, Madan Mohan,YS  Kesava Rao 2 years AP Cess Fund, ICAR
11 Forecasting fish production from ponds L M Bhar, S S Walia and A K Roy 2 years ICAR-IASRI, New Delhi
12 Development of Forewarning System of Potato Aphids T P Trivedi, R C Jain, L M Bhar and S C Mehta 2 years NCIPM

Important Publications

  1. Bhar, L. M. and Sankalpa Ojha (2017): Influence Measures in Blocked Designs of Experiments with Correlated Errors, Communications in Statistics – Theory and Methods, 46 (5), 2411-2434.
  2. Bhar, L. M. (2016). Efficient block designs for symmetric parallel line assays, Cogent Mathematics, 3(1), 1 – 11.
  3. Bhar, L. M. (2013). A diagnostic tool for detecting outliers in experimental data, Model Assisted Statistics and Applications, 8(1),61-68.
  4. Bhar, L. M. (2013). Robustness of Variance Balanced Block Designs. Sankhya B. DOI: 1007/s13571-013-0073-4.
  5. Bhar, L. M. and Dey, A. (2003). Robustness of nested balanced incomplete block designs against missing data. Journal of Indian Society of Agricultural Statistics, 56(1), 25 – 38.
  6. Bhar, L. M. and Gupta, V. K. (2003). Study of outliers under variance – inflation model in experimental designs. Journal of Indian Society of Agricultural Statistics, 56(2), 142 – 154.
  7. Bhar, L. M. and Amitava Dey(2003). Robustness of Block Designs for Diallel Crosses Against Missing Data. Communications in Statistics – Theory and Methods, 32(1), 193 –213.
  8. Bhar, L. M. and Amitava Dey (2002). Triallel-Cross Block Designs That Are Robust Against Missing observations. Utilitas Mathematica, 65, 231-242.
  9. Bhar, L. M. and V. K. Gupta (2002). Robust Row-Column Designs for Complete Diallel Cross Experiments. Metrika, 56, 83 – 90.
  10. Bhar, L. M. and Gupta, V. K. (2001). A useful statistic for studying outliers in experimental designs. Sankhya, B63, 338-350.

Books

  1. Gupta, V. K., Prasad, R., Bhar, L. M. and Mandal, B. N. (2016). Statistical Analysis of Agricultural Experiments (Part-I; Single Factor Experiments). ICAR-Indian Agricultural Statistics Research Institute, New Delhi. ISBN Number: 987-93- 5265-859-6
  2. Sud, U. C., Hukum Chandra, Bhar, L. M. and Sarkar, S. K. (2015). Statistics and Informatics in Agricultural Research. Published by Indian Society of Agricultural Statistics.
  3. Bhar, L. M. (2015). Regression analysis diagnostics and remedial measures. pp. 245-270 In: Rajni Jain and S S Raju Edition. Decision support system in agriculture using quantitative analysis, Agrotech Publishing Academy, ISBN: 978-81-8321-395-0

Principal Scientist

111B, Training & Administrative Block, ICAR-IASRI

Official E-mail:        Amrit.Paul@icar.gov.in
Phone (O).:                25847121 extn-4167
Research interests:  Statistical Genetics and Modelling
Courses  Offered:    Advanced Statistical Genetics (AS-602), Seminar (AS-691), Advanced  Statistical Methods for Population Genetics (AS-665), Statistical Genetics(AS-566) and Senior Certificate Course Paper VI Statistical Genetics

 

Dr. Amrit Kumar Paul

Important projects:

            Ongoing:

Sr No. Title of the project Project team Duration Funding agency
1.

Development of Rank Based Stability Measures for Selecting Genotypes.

 

 Prakash kumar*, A.K. Paul,  Samarendra Das and L.M. Bhar

10.09.2015 to

31.08.2017

 ICAR-IASRI, New Delhi
5. Study of Long Memory and Periodicities in Climate Variables in Different Agro-Climatic Zones of India Ranjit Paul, L M Bhar, A K Paul 19.04.2017 to 18.05.2020 ICAR-IASRI, New Delhi

 

Completed:

Sr No. Title of the project Project team Duration Funding agency
1. Estimation of Heritability under correlated errors A.K.Paul* and S.D.Wahi 04.01.2014 to 03.01.2016 ICAR-IASRI, New Delhi
2. Estimation of Breeding Value Using Longitudinal Data *U.K. Pradhan, P.K.  Meher, A.R. Rao and A.K. Paul 23.04.2014 to 31.12.2016 ICAR-IASRI, New Delhi

 

Important Publications

  1. Paul, AK, Singh, S, Singh, KN, Kumar, A and Singh, NO (2012). Modelling for body growth of crossbred piglets. Indian Journal of Animal Sciences 82 (9): 1098–1099(NARS rating 6.6)
  2. Das, T Kand Paul, A K and Yaduraju, N T (2013). Density-effect and economic threshold of purple nutsedge (Cyperus rotundus) in soybean. Journal of Pest Science. 1-10. ISSN 1612-4766
  3. Paul, AK, Paul, RK and Alam, Wasi (2013). Effect of non-normality and inadmissible estimates on estimation of heritability. Indian Journal of Animal Science, 83 (12), 1355–1357.
  4. Behera, S.K.. Paul, A.K., Wahi, S.D., Iqbal, M.A. Das, Samarendra, Paul, R.K., Alam Wasi and Kumar, Anil (2014). Estimation of Heritability of Mastitis Disease. Using Moment Estimators. J. Agricult. Stat. Sci. Vol. 10, Supplement 1, pp. 243-247.
  5. Paul, A. K., Paul, R. K., Das, S., Behera, S. K. and Dhandapani, A. (2015), On some development of new nonparametric stability measures. Indian Journal of Agricultural Sciences, 85(8), 113-117.
  6. Paul, A. K., Paul, R. K., Prabhakaran, V. T., Singh, I. and Dhandapani, A. (2015). Performance of parametric and non-parametric stability measures. Journal of the Indian Society of Agricultural Statistics, 69(3), 289-299
  7. Das Samarendra, Meher P.K., Pradhan U.K., Paul A.K. (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.
  8. Das, Samarendra, Paul A.K., Wahi S.D., Raman R.K. (2016). A comparative study of various classification techniques in multivariate skew-normal data. of the Ind. Soc. of Ag. Stat. 69 (3): 271-280.
  9. Paul, A.K., Paul, R.K., Singh, N.M.D., Wahi, S.D. and Singh, N.O. (2016). Genetic variability of growth curve parameters in goats: application of bootstrap techniques. Journal of the Indian Society of Agricultural Statistics, 70(3), 211-218
  10. Paul, A. K., Paul, R. K., Das, S., Behera, S. K. and Dhandapani, A. (2015), On some development of new nonparametric stability measures. Indian Journal of Agricultural Sciences, 85(8), 113-117.

 

Book chapters   published:

  1. K. Paul and A.K. Paul (2014) Nonlinear Time-Series Analysis: An Application of GARCH and EGARCH Models in Agriculture,.In: A.K.Roy (eds.).Emerging Technologies of the 21st Century. New India Publishing Agency, 101,Vikash Surya Plaza, New Delhi-110034,India, ISBN 978-93-83305-33-9:890p
  2. K. Paul and R.K. Paul (2014) Nonlinear Growth Models under Heteroscedastic and Autocorelated Error Structure,. In: A.K.Roy (eds.).Emerging Technologies of the 21st Century. New India Publishing Agency, 101,Vikash Surya Plaza, New Delhi-110034,India, ISBN 978-93-83305-33-9:890p
  3. Paul,Amrit Kumar(2006) Some Study of Heritability of All or None Traits in Livestocks. In: A.K. Roy, A.Antony and N.Sarangi (Eds.). Bioinformatics and Statistics in Fisheries Research, Vol-II pp: 467-482 published by Central Institute of Freshwater Aquaculture, Kausalyaganga, Bhubaneswar-751002
  4. Paul,Amrit Kumar(2006)Selection Strategies For More than One Characters in Livestock. In: A.K. Roy, A.Antony and N.Sarangi (Eds.). Bioinformatics and Statistics in Fisheries Research, Vol-II Vol-II pp-445-457.published by Central Institute of Freshwater Aquaculture, Kausalyaganga, Bhubaneswar-751002
  5. Ghosh, Himadri and Paul Amrit Kumar (2005). Estimation of variance components in diallel cross design. Chapter IV in the book entitled Recent Advances in Mating Designs edited by L.S.Kaushik and R.C.Hasija. Dhanpat Rai & Co.

Principal Scientist & DRC Secretary

09 (Old Building) Sample Survey Block, ICAR-IASRI

Official E-mail:       himadri.ghosh@icar.gov.in 

Phone (O).:               9311504010   Ext. 4298
Research interests:  Nonlinear-Nonparametric Time-Series/Spatial Modelling, Stochastic Volatility, Fuzzy Methodology, Statistical Learning Theory, Optimal Design of Diallel Cross Experiments.
Courses  Offered:    Mathematical Methods (AS-550) and  Stochastic  Process (AS-607).

Dr. Himadari Ghosh

Important projects:

Ongoing:

            Sr. No. Title of the project Project team Duration Funding agency
1. Stochastic differential equation models and their applications to agriculture Prajneshu, Ghosh, Himadri and L.M. Bhar 6.11.2015  to 5.11.2018 Science and Engineering Research Board, Department of Science and Technology, Government of India.
2. Development of methodology for nonparametric modelling of time-series data and its application in Agriculture. Ghosh, Himadri  and Pal, S. 06.06.2015 to 05.12.2017 ICAR-IASRI

 

 

Completed:

Sr. No. Title of the project Project team Duration Funding agency
1

A study on STAR and SV families of nonlinear time-series models for describing cyclicity and volatility in Agriculture.

 

 Gurung Bishal and Ghosh, Himadri  and Paul, R. K. 21.05.2013 to 22.05.2015 ICAR-IASRI
2.

A study on modeling and forecasting of time-series with long memory process.

 

 Paul, R. K., Ghosh, Himadri  and Gurung Bishal May, 2013 to April, 2015 ICAR-IASRI
3.

Development of Methodology of Estimation of compound Growth Rate and Its Web Based Solutions. I.A.S.R.I., New Delhi.

 

 Pal, S., Ghosh, Himadri and Prajneshu 25.04.2011 to 24.10.2013 ICAR-IASRI
4.

Development of Weather-based Crop Yield Forecasting Models using GARCH and Wavelet Techniques. I.A.S.R.I., New Delhi.

 

 Paul, R. K., Ghosh, Himadri and Prajneshu October, 2011 to June, 2013 ICAR-IASRI
5. A study of Stochastic Volatility Models Through Particle Filtering. Gurung Bishal and Ghosh,  Himadri 2013 ICAR-IASRI

 

 

Awards and Honours:

  • Shyama Prasad Memorial Award for  standing first in B.Sc. (Statistics Honours).
  • Professor R.C. Bose Memorial Award for standing first in M.Sc. (Part-I).
  • Young Scientist Award of Indian Society of Agricultural Statistics in 2002.
  • Best Poster presentation Awards in “Mathematical Sciences” section of Indian Science Congress during 2004 and 2009.
  • Bhargavi and Professor C.R. Rao Award for Best Poster Presentation in International Conference on Frontiers of Interface Between Statistics and Sciences during Dec. 30, 2009 – Jan 2, 2010 at C.R. Rao Advanced Institute of Mathematics, Statistics and Computer Science, University of Hyderabad Campus, India.
  • Best paper Award in the field of Applied Statistics for the years 2008 and 2009 of the Journal of Indian Society of Agricultural Statistics.
  • Bose-NandiAward for the best publication in the section “Applications of Statistics” of the Calcutta Statistical Association Bulletin for the year 2008.
  • Co-authors of Best papers in G. R. Seth Memorial Young Scientist Award by Indian Society of Agricultural Statistics in the International Conference on Statistics and Informatics in Agricultural Research during 18-20 December, 2012 at IASRI, New Delhi and at Banaras Hindu University, Varanasi during 18-20 December, 2013 .
  • SCHOLARSHIPS: CSIR-UGC JRF scholarship for carrying out research at Burdwan University during March, 1995 to October, 1997.

 

Important publications:

  1. Ghosh, Himadri (2017). Nonorthogonal optimal partial diallel cross designs for consistent estimation of heritability. Journal of Japan Statistical Society 47(1): 37-48
  2. Ghosh, Himadri and Prajneshu (2017) Gompertz growth model in random environment with time-dependent diffusion. Journal of Statistical Theory and Practice.
  3. Ghosh, Himadri, Chowdhury, Sumit, and Prajneshu (2016). An improved – fuzzy time series method of forecasting based on L-R fuzzy sets and its application. Appl. Stat., 43,1128-1139
  4. Ranganath, H.K., Ghosh, Himadri and Prajneshu (2016)Nonlinear Exponential Autoregressive Time-Series Model with Moving Average Errors: An Application”. Int. J. Agricult. Stat. Sci., Vol. 12, 409-414
  5. Ghosh, Himadri, Gurung, B. and Prajneshu (2015) Fitting EXPAR models through the extended Kalman filter.  Sankhya, Series B, 77-B, Part 1, 27-44
  6. Himadri Ghosh, B. Gurung, and Prajneshu (2015) Kalman filter-based modelling and forecasting of stochastic volatility with threshold. Appl. Stat.,42, 492–507
  7. Ghosh, Himadri, Prajneshu and Samanta, S. (2014). Fitting of SETARMA nonlinear time-series model through Genetic algorithm and development of out-of-sample forecasts. Statistics, 48, 1166-1184
  8. Ghosh, Himadri and Prajneshu (2011). Statistical learning theory for fitting multimodal distribution to rainfall data: an application. J. Appl. Stat., 38, 2533-2545
  9. Ghosh, Himadri, Paul, R.K. and Prajneshu (2010). Wavelet frequency domain approach for statistical modelling of Indian monsoon rainfall time-series data. J. Statl. Th. Prac., 4, 813-825

Ghosh, Himadri, Paul, R.K. and Prajneshu (2010). Nonlinear time series       modeling and forecasting for periodic and ARCH effects. J. Statl. Th. Prac., 4, 27-44

Scientist

302, Training & Administrative Block, ICAR-IASRI

Official E-mail:     ranjit.paul@icar.gov.in, ranjitstat@gmail.com

Phone (O).:               25847121 extn-4163
Research interests:  Statistical Modelling, Time series, Climate change, Long memory.
Courses  Offered:    Statistical Methods(AS-561), Regression Analysis (AS-603), Advanced Statistical Methods(AS-562), Statistical Modeling(AS-570), Forecasting Techniques (AS-667).

Dr. Ranjit Kumar Paul

Important projects:

                Ongoing:

Sr No. Title of the project Project team Duration Funding agency
1. Gene Selection for Classification of Crop Gene Expression Data Samarendra Das, Prabina Kumar Meher Ranjit Kumar Paul and U. K. Pradhan 20/09/2015 to 19/09/2018 IASRI, New Delhi, India
2 Creation of Policy and Strategy Cell (PSC) at ICAR-NIAP for Doubling Farmers’ Income in India by 2021-22: Estimating Farm Income and Facilitating the Implementation of Strategic Framework, Raka Saxena (NIAP), Naveen P. Singh (NIAP), Usha Ahuja (NIAP) and Ranjit Kumar  Paul (IASRI) 31.03.2017 to 31.03.2022 Ministry of Agriculture and Farmers’ Welfare
3 Study of Long Memory and Periodicities in Climate Variables in Different Meteorological Subdivisions of India Ranjit Kumar  Paul, L M Bhar And A K Paul 19.04.2017-18.05.2020 IASRI, New Delhi, India
4 Modelling insect pests and diseases under climate change and development  of digital tools for pest management S Vennila (NCIPM), M N Bhat (NCIPM), Niranjan Singh (NCIPM), Ranjit Kumar Paul (IASRI), M Prabhakar (CRIDA) and M S Rao (CRIDA) 20.06.2017-31.03.2020 National Initiative on climate resilient agriculture (NICRA), Government of India

 

Completed:

Sr No. Title of the project Project team Duration Funding agency
1. Development of weather based crop yield forecasting models based on GARCH and Wavelet techniques Ranjit Kumar Paul, Himadri Ghosh and Prajneshu October, 2011 to June, 2013 IASRI, New Delhi, India
2 Enhancing Resilience of Agriculture to Climate Change through Institutions, Technologies and Policies Ranjit Kumar Paul August, 2011 to March, 2014 National Initiative on climate resilient agriculture (NICRA), Government of India
3 Study of Commodity Price Forecast based on time series data February, 2013 to February, 2015. IASRI, New Delhi, India
4

A study on STAR and SV families of nonlinear time-series models for describing cyclicity and volatility in Agriculture.

 

 Gurung Bishal and Ghosh, Himadri  and Paul, R. K. 21.05.2013 to 22.05.2015 ICAR-IASRI
5 A study on modelling and forecasting of time-series with long memory processes Ranjit Kumar Paul, Himadri Ghosh and Bishal Gurung May, 2013 to April, 2015 IASRI, New Delhi, India
6 A study of some parametric nonlinear time-series models for describing cyclicity or volatility Bishal Gurung, Himadri Ghosh and Ranjit Kumar Paul May, 2013 to April, 2015. IASRI, New Delhi, India
7 Network Project on Market Intelligence

Raka Saxena (NIAP), Pavitra S (NIAP) and Ranjit Kumar Paul

(IASRI)

 13.02.2014 to 31.03.2017 ICAR
8 Network Project on “Impact Assessment of Agricultural Research and Development” Ranjit Kumar Paul 12.01.2015 to 31.03.2017

ICAR

 

 
9 Impact of ICT on Agricultural Education in India Rajni Jain (NIAP) Anshu Bhardwaj (IASRI) and Ranjit Kumar Paul (IASRI) 08.04.2016 to 31.03.2017 ICAR

 

 

Awards and honours:

  1. Awarded by “Jawaharlal Nehru Gold Medal” given by IASRI.
  2. Awarded by “ B. R. Murthy Award” for the best student of the batch `2004-2006′ given by IASRI
  3. Ranked first in Ph.D. Entrance examination 2006 of Indian Agricultural Research Institute (I.A.R.I.)
  4. Awarded CSIR NET with JRF.
  5. Awarded the R. Seth Memorial Young Scientist Award by Indian Society of Agricultural Statistics in the International Conference on Statistics and Informatics in Agricultural Research during 18-20 December, 2012 at IASRI, New Delhi.
  6. Co-author of a paper for R. Seth Memorial Young Scientist Award in 2013.
  7. Awarded Young Scientist Award by Society for Applications of Statistics in Agriculture and Allied Sciences (SASAA) in March 2016
  8. Best poster award in the agricultural science congress at NDRI, Karnal 2015 for the following paper:

Raka Saxena, Anil Kumar, S Pavithra, Ranjit Kumar Paul, Kavita Pal, Simmi Rana & Sonia Chauhan. (2015). The intensity of market infrastructure for linking the smallholder farmers to markets: Evidences from selected markets of Uttarakhand

  1. Received K. Desai Award for best paper by Indian Society of Agricultural Economics in 2016 for the following paper:

Wani, M. H., Paul, R. K., Bazaz, N. H. and Manzoor, M. (2015). Market Integration and Price Forecasting of Apple in India. Indian Journal of Agricultural Economics, 70 (2), 169-181.

  1. Received the Young Scientist Award in Social Science for the biennium 2015-16 by National Academy of Agricultural Sciences (NAAS)
  2. Received ICAR Lal Bahadur Shastri Outstanding Young Scientist Award in Social Sciences for 2016.

 

Important publications :

  1. Paul, R.K. (2017). Modelling long memory in maximum and minimum temperature series in India. Mausam, 68 (2), 317-326
  2. Gurung, B., Singh, K.N., Paul, R. K., Panwar, S., Gurung, B. & Lepcha, L. (2017). An Alternative Method for Forecasting Price Volatility by Combining Models. Communications in Statistics – Simulation and Computation, 46 (6), 4627-4636
  3. Paul, R. K., Rana, S. and Saxena, R. (2016). Effectiveness of price forecasting techniques for capturing asymmetric volatility for onion in selected markets of Delhi. Indian Journal of Agricultural Sciences, 86 (3): 303–309
  4. Paul, R.K., Saxena, R. and Bhat, S.A. (2016). How Price Signals in Pulses are Transmitted across Regions and Value Chain? Examining Horizontal and Vertical Market Price Integration for Major Pulses in India. Agricultural Economics Research Review, 29: 75-86.
  5. Paul, R. K. (2015). ARIMAX-GARCH-WAVELET Model for forecasting volatile data. Model Assisted Statistics and Application, 10(3), 243-252.
  6. Paul, R.K. and Birthal, P.S. (2015). Investigating rainfall trend over India using wavelet technique. Journal of Water and Climate Change, 7(2), 365-378.
  7. Paul, R.K., Birthal, P.S., Paul, A.K. and Gurung, B. (2015). Temperature trend in different agro-climatic zones in India. Mausam, 66(4), 841-846
  8. Paul, R. K., Sinha, K. (2015). Spatial Market Integration among Major Coffee Markets in India. Journal of the Indian Society of Agricultural Statistics, 69(3), 281-287
  9. Paul, R. K. (2014). Forecasting Wholesale Price of Pigeon Pea Using Long Memory Time-Series Models. Agricultural Economics Research Review, 27(2), 167-176.
  10. Paul, R. K., Prajneshu, and Ghosh, H. (2013). Wavelet Frequency Domain Approach for Modelling and Forecasting of Indian Monsoon Rainfall Time-Series Data. Journal of the Indian Society of Agricultural Statistics, 67 (3), 319-327

 

      Books

  1. Manual on Price Forecasting Techniques (2015): Edited by Raka Saxena, Pavithra S. Ranjit Kumar Paul, Sanjay Chayal and Shikha Chaurasia. Published by NIAP, New Delhi
  2. Paul, R. K., and Bhar, L. (2012). Robust Analysis of Agricultural Field Experiments. Lap Lambart academic publishing, Germany, ISBN 978-3-659-26408-5

Scientist

307, Training & Administrative Block, ICAR-IASRI

Official E-mail:     Prabina.meher@icar.gov.in

Phone (O).:               9310714631 extn-4157
Research interests:  Statistical Genetics and Bioinformatics.
Courses  Offered: Probability Theory (AS-560), Statistical Methods (AS-561)and Statistical Inference(AS-563)

Mr. Prabina Kumar Meher

Important projects:

Ongoing:

S. No.

Project  title

 

 Duration Project leader* and associates
1. A study on sequence encoding based approaches for splice site prediction in agricultural  species 01.01.2016 to 31.12.2017 *P.K. Meher, Prakash   Kumar and A.R. Rao
2.

Gene selection for classification of crop gene expression data

 

 30.10.2015 to 19.10.2018

Samarendra Das,

**P.K. Meher, R.K. Paul

and Prakash Kumar
3.

Elucidating the mechanism of pashmina fibre development: An OMICS approach.

(External funded)

 01.07.2015 to 30.06.2018

SKUST: Nazir A. Ganai

NDRI : Jai K. Kaushik

IASRI: A.R.Rao, P.K. Meher

 

  • **P.K.Meher will be P.I. from 09.08.2017 onwards.

Completed Projects:

S. No.

 

Project  title

 

 Project leader * and associates
1.

Estimation of Breeding Value Using Longitudinal Data (2016)

 

 *U.K. Pradhan, P.K.  Meher, A.R. Rao and A.K. Paul

 

Awards and Honours:

  • G.R. Seth Memorial Young Scientist Award from Indian Society of Agricultural Statistics, 2016.
  • MN Das Memorial Young Scientist appreciation certificate from Society of Statistics, Computers and Applications for the year 2016-17.
  • Nehru Memorial Gold Medal from Indian Agricultural Statistics Research Institute, 2010.
  • V.R. Murthy Award from Indian Agricultural Statistics Research Institute, 2010.
  • ICAR Junior Research Fellowship (2007-2009).
  • INSPIRE fellowship from Department of Science and Technology (DST), Ministry of Science and Technology, Government of India (2009-2012).

Important Publications:

  1. Meher P.K., 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.
  2. Meher, P.K., Sahu,T.K., Saini, V. and Rao, A.R. (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.
  3. Meher, P.K., Sahu, T.K., Rao, A.R. and Wahi, S.D. (2014). A statistical approach for 5’ splice site prediction using short sequence motifs and without encoding sequence data. BMC Bioinformatics, 15: 362.
  4. Meher, P.K., Sahu,T.K. and Rao, A.R. (2016). Identification of species based on DNA barcode using k-mer feature vector and Random forest classifier. Gene, 592: 316–324.
  5. Meher, P.K., Sahu, T.K., Rao, A.R.,Wahi, S.D. (2016). A computational approach for prediction of donor splice sites with improved accuracy. Journal of Theoretical Biology, 404: 285–294.
  6. Meher, P.K., Sahu, T.K. and Rao, A.R. (2016). Prediction of donor splice sites using random forest with a new sequence encoding approach. BioData Mining, 9: 4.
  7. Meher, P.K., Sahu, T.K., Rao, A.R.,Wahi, S.D. (2016). Identification of donor splice sites using support vector machine: a computational approach based on positional, compositional and dependency features. Algorithms for Molecular Biology, 11:16.
  8. Meher, P.K., Sahu, T.K., Rao, A.R. and Wahi, S.D. (2016). Discriminating coding from non-coding regions based on codon structure and methylation-mediated substitution: An application in rice and cattle. Computers and Electronics in Agriculture, 129: 66–73.
  9. Jaiswal, V., Gahlau,t V.,Meher, P.K., Mir, R.R., Jaiswal, J.P., Rao, A.R., Balyan, H.S. and Gupta, P.K. (2016). Genome wide single locus single trait, multi-locus and multi-trait association mapping for some important agronomic traits in common wheat ( aestivum l.). PLoS ONE, 11(7): e0159343.
  10. 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 Aluminum Stress in Soybean (Glycine max L.). PLoS ONE 12(1): e0169605.

Scientist

403, Training & Administrative Block, ICAR-IASRI

Official E-mail:     Prakash.kumar@icar.gov.in

Phone (O).:               8800877135 extn-4160
Research interests:  Agricultural Statistics, Statistical Genetics, Design of Experiment, Statistical Modelling, Statistical Programming in SAS/R, Bioinformatics.
Courses  Offered: Basic Statistical Methods (AS-501) and  Senior Certificate Course  Paper VI Statistical Genetics

Mr. Prakash Kumar

     Important projects:

Ongoing:

S. No.

 

Project  title

 

 Duration Project leader* and associates
1.

Development of Rank Based Stability Measures for Selecting Genotypes.

 

 10.09.2015 to 31.08.2017 Prakash kumar*, A.K. Paul,  Samarendra Das and L.M. Bhar
2.

Gene selection for classification of crop gene expression data

 

 30.10.2015 to 19.10.2018

Samarendra Das,

**P.K. Meher, R.K. Paul

and Prakash Kumar

 

Awards and Honours:

  • SCHOLARSHIPS: ICAR JRF scholarship for carrying out research at P G School, Indian Agricultural Research Institute, New Delhi during August, 2010 to July, 2012.
  • SCHOLARSHIPS: IARI scholarship for carrying out Ph.D research at P G School, Indian Agricultural Research Institute, New Delhi during August, 2012 to July, 2014.
  • ICAR-SRF for Ph.D Admission (2017).

Important publications:       

  1. Kumar, P., Lal, K., Parsad, R. and Gupta, V.K. (2016). Block Designs with Nested Row-Column for Factorial Experiments, Communications in Statistics – Theory and Methods, DOI: 10.1080/03610926.2016.1161800.

Paritosh Kumar, Ravinder Kaur, Archna Suman, Alpana Singh and Prakash Kumar. (2017). Nickel Bioremediation by Different Wetland Macrophytes Root Associated Bacteria. Chemical Science Review and Letters. 6(22), 987-994.

Scientist

409, Training & Administrative Block, ICAR-IASRI

Official E-mail: himadri.roy@icar.gov.in

Phone (O).:        9013846158

Research interests:  Population genetics, Quantitative genetics, statistical genomics

Courses  Offered: Basic Statistical Methods in Agriculture (PGS-504),   Statistical Genetics(AS-566)  and   Senior Certificate Course Paper VI Statistical Genetics

Dr. Himadri Shekhar Roy

Important publications :

  1. Roy, H. S., Paul, R. K., Bhar, L. M., Arya, P. (2016). Application of INAR model on the pest population dynamics in Agriculture. Journal of Crop and Weed, 12(2), 96-101
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