Vol. 9, Issue 5, Part D (2025)

The current study, conducted during the rabi season of 2022 at the CRC, College of Agriculture, SVPUA&T, Meerut, aimed to evaluate the agronomic traits of 150 wheat genotypes obtained from the Division of Genetics and Plant Breeding, IARI, New Delhi. An augmented block design was utilized for the experiment, with a plot size of 2 x 1.5 m² and row-to-row and plant-to-plant spacing of 25 cm and 5 cm, respectively. The analysis of variance (ANOVA) revealed significant differences (p<0.01) across all traits, indicating the influence of environmental factors and treatment conditions on trait variability. Notably, traits such as days to booting (DTB), days to flowering (DTF), flag leaf area (FLA), and plant height (PH) displayed substantial genetic variation. Mean performance analysis identified genotype 4 as the top performer for leaf area, total grain weight, and plant weight, while genotype 45 exhibited early booting and flowering traits. Correlation analysis highlighted significant relationships among traits, with strong positive correlations among critical yield components, including DTB, DTF, and plant maturity. These findings underscore the importance of genetic selection and the intricate interplay of traits in wheat breeding programs aimed at enhancing yield and stress resilience. The study offers valuable insights for future breeding efforts to optimize wheat performance in varying environmental conditions.