YOGENDER KUMAR*, SATYAWAN ARYA, SACHIN AND DEEPAK KAUSHIK
Department of Genetics and Plant Breeding
CCS Haryana Agricultural University, Hisar-125 004 (Haryana), India
*(e-mail : yogenderkgulia@gmail.com)
(Received: 2 August 2025; Accepted: 12 September 2025)
SUMMARY
Barley being a nutri-rich and hardy crop fitted well in the North-Western Indian cropping system. Screening of the diverse germplasm and developing a definite set of traits for their evaluation became crucial to get the elite barley varieties. This study aimed to develop a regression model that fitted the dependent variable sufficiently well to account for the total variability. The study evaluated 10 quantitative traits of 71 barley genotypes under timely sown irrigated conditions during crop season 2023-24 at the Research Area, Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar. The experiment was planted in Randomized Block Design (RBD) with four replications. Each genotype occupied a plot size of 6.9 m2. The yield was found to be explained by harvest index and biological yield per plot. Multiple regression analysis revealed 95.80% of the variability, explained by the studied quantitative traits. The stepwise regression analysis retained a total of two traits viz., harvest index and biological yield per plot, resulted in the development of two yield prediction models. Model 2 was found to be the most reliable predictor of yield in barley as it explained 95.60% of the total variability.
Key words: Barley, regression, yield traits