The objective of this study was to determine phenotypic variation for yield and yield-related traits among cowpea genotypes and select best candidate genotypes for breeding. Hundred cowpea genotypes were evaluated across two environments using an alpha lattice design with two replications. The pooled data were subjected to analysis of variance, correlation and principal component analyses (PCA). Significant differences were observed among cowpea genotypes for assessed traits. PCA revealed three principal components contributing to 77.75% of the total variation. Grain yield was significantly correlated with most of the traits. The genotypic coefficient of variation was relatively higher, whereas the phenotypic coefficient of variation values were moderate for branch number, seed number per pod, and high for seed number per plant and pod weight per plant. Heritability and genetic advance values respectively ranged from 37.27% to 97.2% and 73.3% to 2242.6% for the studied traits. High direct path coefficient value of 0.71 for pod weight per plant with highly significant correlation with grain yield was observed. The study identified cowpea genotypes such as Glenda RV 465, RV 574, RV 115, RV 28, RV 419, RV 28, RV 419, RV 213, RV 550, RV 470, RV 111, RV 315 and RV 550 with better responses for yield and yield-related traits.

这项研究的目的是确定cow豆基因型之间的产量和与产量相关的性状的表型变异，并选择最佳的候选基因型进行育种。使用带有两次重复的alpha格子设计，在两个环境中评估了一百个cow豆的基因型。对合并的数据进行方差分析，相关性分析和主成分分析（PCA）。cow豆基因型之间在评估性状上观察到显着差异。PCA揭示了三个主要成分，占总变化的77.75％。籽粒产量与大多数性状显着相关。基因型的变异系数相对较高，而表型的变异系数值在分支数，单荚种子数，每株植物的种子数和每株植物的豆荚重量都很高。研究性状的遗传力和遗传进展值分别为37.27％至97.2％和73.3％至2242.6％。观察到每株豆荚重量的直接路径系数值为0.71，与籽粒产量高度相关。该研究确定了cow豆基因型，例如Glenda RV 465，RV 574，RV 115，RV 28，RV 419，RV 28，RV 419，RV 213，RV 550，RV 470，RV 111，RV 315和RV 550。产量和与产量相关的性状。