Unravelling the genetic variability, correlation and explore the structure of genetic divergence in the RIL population of cotton (Gossypium hirsutum L.) derived from the cross RHAP 12 x RHAP 15

K. SAINATH; B. P. MARUTHI PRASAD; B. R. PATIL; M. AKSHAYA

doi:10.61475/JFS.2025.v38i4.07

K. SAINATH Department of Genetics and Plant Breeding, College of Agriculture, Dharwad University of Agricultural Sciences, Dharwad - 580 005, India
B. P. MARUTHI PRASAD Department of Genetics and Plant Breeding, College of Agriculture, Dharwad University of Agricultural Sciences, Dharwad - 580 005, India
B. R. PATIL Department of Genetics and Plant Breeding, College of Agriculture, Dharwad University of Agricultural Sciences, Dharwad - 580 005, India
M. AKSHAYA Department of Genetics and Plant Breeding, College of Agriculture, Dharwad University of Agricultural Sciences, Dharwad - 580 005, India

DOI: https://doi.org/10.61475/JFS.2025.v38i4.07

Keywords: Correlation, Genotypic coefficient of variation (GCV), Phenotypic coefficient of variation (PCA), Recombinant inbred lines

Abstract

The nature and magnitude of genetic variability, correlation and principal component analysis were estimated inthe 142 RIL populations of cotton developed by hybridization between RAHP 12 and RAHP 15 by considering 10 quantitative and 6 fibre quality traits to reveal the considerable amount of diversity among these RILs. The 142 RILs alongthe check variety (MCU 5, Sahana, DHH 263, Binds, RHAP 12 and HBS 144) were evaluated in augmented design at the University of Agricultural Sciences, Dharwad during kharif 2021. The variability studies indicated that a high estimate ofphenotypic coefficient of variation (PCA) and genotypic coefficient of variation (GCV) was observed for sympodialbranches per plant, whereas the character plant height, number of monopodia per plant, number of bolts per plant and boll Weight showed moderate GCV and PCV and also high heritability was evident in plant height, number of monopodia perplant, number of bolls per plant, seed cotton yield and ginning output. The correlation coefficient indicated that the numberof bolls per plant, boll weight and lint yield per plant were significantly associated with seed cotton yield, suggesting thatone or more yield traits can be used as selection criteria to improve the seed cotton yield. Five principal componentsshowed an eigenvalue of more than one with an accumulated variability of 75.96%. The principal component with thehighest variability was mostly related to boll weight and seed index.