Education:B.Sc., PU, Chandigarh (1989); M.Sc., PAU, Ludhiana (1993); Ph.D., PAU, Ludhiana (1997)

Positions held:Assistant Statistician, PAU, Ludhiana (2001-2013), Senior Statistician (2013- 2016), Principal Statistician (2016- till date)

Field of Specialization: Quantitative techniques and Applied Statistics

Present Research Interests/Projects:

Research Interests/Projects Completed

• UGC funded competitive project on”Selection Intensity determination for varying proportions of selection in Non-normal populations”.
• UGC funded competitive project on “Statistical evaluation of regional disparities of socio-economic development in Punjab”.
• UGC funded competitive project on “Development of weather based prediction model for cotton leaf curl disease and its vector Bemisiatabaci in context to climate change”.

Ongoing Projects:

• DST funded competitive research project on “Statistical evaluation of regional inequalities in the socio-economic development among states of India”.

Selected Research Publications:

1. Barsalia R K, Brar K S, Singh Pritpal and Sandhu S ( 2025) Estimation of Combining Ability for Yield Traits in Groundnut using Genetic Variance-covariance among Relatives. Legume Research. 48(6): 1-6 (NAAS rating: 6.80)
2. Singh M, Nara Usha , Kaur K , Pandey V, Pathak D, Sangha M. K and Singh Pritpal (2024) Exploring GGE biplot, stability index, correlation, and clustering analysis for growth and seed yield-related traits in celery (Apium graveolens )  Journal of Applied Research on Medicinal and Aromatic Plants 40: 1-14 (NAAS rating: 9.40).
3. Kaur A, Gupta Neha, Sharma S, Singh Pritpal and Singh Sarvjeet (2022). Physiological and biochemical characterization of chickpea genotypes for cold tolerance at reproductive stage SouthAfrican Journal of Botany150: 488-99. (NAAS rating: 9.11).

1. Singh Pritpal and D Bhatia (2017) Incomplete block designs for plant breeding experiments. Agricultural Research J. 54(4): 607-11      (NAAS rating: 5.44).
2. Buttar D S and Singh Pritpal (2017) Cotton leaf curl disease (CLCuVD) predictive model based on environmental variables. Indian J of Agricultural Sciences 87(5): 113-16. (NAAS rating: 6.17)

6. Singh Pritpal,S.Grewal, M.Javed and A. Kaur(2016). Statistical evaluation of agricultural development in Punjab-A factor analytic approach. Indian J. of Economics and Development 12(1): 33-39.    (NAAS rating: 6.30).

Awards/Honours/Distinctions:          

• Recipient of University Merit Fellowship during Ph.D
• Awarded first position in poster presentation for research paper entitled “Wheat yield forecasting of Ludhiana district using statistical models.” in the National Conference on “Big Geospatial Data: Analytics, Modeling and Applications” held at Punjab remote Sensing Centre, Ludhiana during September 25-26, 2019.