Work

MULTIVARIATE AND ASSOCIATION ANALYSIS OF YIELD-CONTRIBUTING TRAITS IN GROUNDNUT (Arachis hypogaea L.)

Year: 2026

Type: article

Abstract: Analysis of variance showed significant differences among fifteen groundnut genotypes for ten evaluated traits in a randomised complete block design during Kharif 2024. Dry pod yield exhibited moderate variability, heritability and genetic advance, indicating good potential for selection-based improvement. Days to first flowering, days to 50% flowering, initial plant stand, shelling percentage, SMK% and dry pod yield were positively associated with kernel yield, with dry pod yield exerting the highest direct effect, followed by shelling percentage. Principal component analysis explained 81.22% of the total variability through three components, with major contributions from dry pod yield, days to 50% flowering, kernel yield, and SMK%. Genotypes K 2682, K 2683, K 2685, K 2686, K 2684 and K 2687 showed superior performance and should be evaluated in multi-location trials to assess stability. Integrating phenotypic selection with multivariate analysis can enhance selection efficiency and support the development of high-yielding, stable groundnut varieties

Source: PLANT ARCHIVES

DOI: 10.51470/plantarchives.2026.v26.supplement-2.140