Enhancing breeding strategies for selection of yield and yield-attributing traits in brinjal through analysis of genetic variability parameters

Le résumé fourni par la source

The present research investigation was carried out to estimate the genetic variability parameters among 42 genotypes of brinjal at Horticulture Research Centre, SVPUA & T, Meerut (U.P.), India, during 2 consecutive Kharif seasons 2022 and 2023, using a 3-replication randomized complete block design. According to the analysis of variance, all the characteristics under study exhibited sufficient variability. For each character, it was found that the Phenotypic Coefficient of Variations (PCV) was greater than the related Genotypic Coefficient of Variations (GCV). For the characteristics of fruit yield per plot, fruit yield/ha, fruit yield/plant, fruit weight, fruit length, number of fruits/plant, fruit girth, pedicle length and number of primary branches, it was discovered that both GCV and PCV were high. High heritability estimates were observed for all traits under study. The fruit yield per ha, fruit yield per plot, fruit yield per plant, fruit weight, fruit length, number of fruits per plant, fruit girth, pedicle length, number of primary branches and plant height were shown to have the highest genetic improvements as a percentage of the mean. As additive gene action controls these characteristics, direct selection is the better method for enhancing these traits genetically.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.