Genetic variability and divergence studies in mungbean (Vigna radiata) under rainfed conditions

Abstract

Twenty three genotypes of moongbean were evaluated in two different environments for variability stability performance. The present investigation was conducted to provide information on the nature and magnitude of genetic variability and divergence among 23 genotypes of mungbean under different environments. It was measured by seed yield/plant under rainfed conditions during kharif 2016 and 2017. Seed yield/plant showed significant correlation with number of seeds/pod and negative correlation with days to maturity. These genotypes were divided into five clusters on the basis of D2 statistics. Maximum inter cluster distance was exhibited by cluster IV and intra-cluster distance by cluster I. Hence, the genotypes of cluster III & IV shall be utilized for the hybridization programme for the development of high yielding varieties (HYVs) of mungbean.

Assessment of genetic variability in blackgram (Vigna mungo) under rainfed conditions of Jammu and Kashmir

“…Mean value of seed yield/plant revealed that genotype PU-15-2 acquired maximum contribution (8.27 g) while NU-1 was found extremely poor with the lowest contribution (4.12 g). Similar outcomes have been published by Kumar et al (2020) for days to 50% flowering (DTF), plant height (PH), number of branches/plant (NOBP), pod length (PL), number of seeds/pod (NSPP), and seed yield/plant (SYPP).…”

“…Ten out of the 30 genotypes demonstrated below-average performance suggesting an early flowering in blackgram. Kumar et al (2020) published similar results with respect to days to 50% flowering. Genotype PU-13-05 exhibited the highest number of branches/plant (8.53), while PU-15-26 least (4.17).…”

“…Mean performance for DTM ranged from 80.44 all the remaining traits had high to modest magnitude of coefficients of variation. Kumar et al (2020) exhibited high PCV for number of branches/plant, pod length and seed yield/plant had a moderate PCV. Characters, viz.…”

“…Any successful breeding programme must consider the associated inheritance of numerous quantitative features through the assessment of genetic parameters including phenotypic coefficient of variance (PCV) and genotypic coefficient of variance (GCV), heritability and genetic advance percentage of mean (GAM) (Bhagat et al 2023). To enhance seed output and its constituent parts, it was previously needed to investigate the extent and nature of genetic variability in the population prior to initiating any plant breeding programme (Kumar et al 2020). Till date no variety has been released by Sher-e-Kashmir University of Agriculture Sciences and Technology, Jammu, Jammu and Kashmir and this study would help us in developing a base for first new variety of urdbean to Jammu and Kashmir.…”

Adaptation and Selection Early and High Yielding Production of Some Exotic Rice Genotyps Under Egyption Conditions

“…MSG= Mean squares of genotypes; MSE = Mean squares of error; r = Number of replications. Phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) was estimated according to Burton, (1952) and Kumar et al, (1985) Broad sense heritability (h 2 b ) was evaluated following the methods described by Acquaah (2017) as follows:…”