Stability analysis for yield and some of yield component traits in cowpea [Vigna unguiculata (L.) Walp] germplasm in hot arid climate

Abstract

The present study carried out to identify cowpea genotypes suitable for summer season in arid and semi-arid zones of India appeared important for its sustained increase the cultivation. Thirty-eight accessions of cowpea including 3 checks (V-585, FTC-27, GC-3) were evaluated during five consecutive (2012 - 2016) kharif seasons to estimate stability of performance for nine quantitative traits. The G × E interaction variance was significant for all the observed characters except peduncle length and plant height, suggesting that yield was inconsistent in different years. However, the present study revealed that the genotype C-863 with higher mean performance with compared to check, non-significant deviation from regression line and regression coefficient less than unity was most suitable for favourable environments for the characters like seed yield per plant and number of clusters per plant. The genotypes C-863, C-1085, C-956 for seed yield per plant, C-1013 and C-1126 for number of pods per plant, C-1133 for number of clusters per plant and C-863 and C-1089 for number of peduncles per plant may be effectively used for future cowpea breeding programmes.

Stability analysis of yield and yield attributing traits in advanced breeding lines of cowpea [Vigna unguiculata(L.) Walp.]

“…The non-linear component of G × E interactio deviations) was found to be significant against pooled error for all the traits which indicated the unpredictable portion of environments influencing these traits. The results obtained in the present st agreement with earlier findings of El-Shaieny et al (2015), Singh et al (2018) and Manivannan et al (20 presence of a substantial amount of genotype × environment interaction. To verify the presence of varia components of G × E interaction, stability analysis was carried out as per Eberhart and Russell's (1966) m the characters taken for study.…”

“…The genotypes GC5 and GC 1910 had regression coefficient near to unity, while the least deviation from regression was observed in GC 1802. Similar results were also obtained earlier byPatel and Jain (2012) andSingh et al (2018). It is evident that GC 1801 and GC 1805 had above average stability and can be explored for rich environments, while genotypes GC 1903 was adapted to low performance environments (Fig.4).…”

“…The genotypes GC5 and GC 1910 had regression coefficient near to unity, while the least deviation from regression was observed in GC 1802. Similar results were also obtained earlier byPatel and Jain (2012) andSingh et al (2018). It is evident that https://doi.org/10.37992/2022.1303.118 Manish Sharma et al,…”

Stability Analysis for Agro-morphological and Physio-biochemical Traits in Mungbean [Vigna radiata (L.) Wilzeck] under Arid Environment

“…Significant G  E interactions revealed the varying performance of genotypes in different environments for all characters except pod length. Similar findings were earlier reported by Lal et al (2013), Win et al (2018, Wankhede and Najan (2019), Baraki et al (2020) and Singh et al (2020) in mungbean.…”

Assessment of Genetic variability among ethidium bromide-derived genotypes of cowpea (Vigna unguiculata (L.) Walp) at M7 generation

“…The high positive correlations observed between the number of pods per plant, the number of seeds per plant, and the seed yield per plant suggest that they are interdependent and should be considered together when breeding for improved seed yield in crop such as cowpea (16). The strong positive correlation between these traits also indicates that selection for one trait may result in indirect improvement of the other traits (17). Therefore, selection of the number of pods per plant makes a positive contribution to seed yield, and selection of seeds per plant also makes a positive contribution to seed yield.…”