Assessment of Genetic Parameters for Yield and Its Associated Traits in Greengram [Vigna radiata (L.) Wilczek]

Abstract

Greengram is India's most significant legume crop, and because there is relatively little genetic variety, increasing productivity demands increased attention in research for the development of superior cultivars. During Kharif 2020-21, an experiment was conducted to the evaluation of the genetic parameters for yield and their associated attributes for thirty-nine Mungbean genotypes. Using a Randomised Block Design (RBD), all genotypes were sown in three replications. The observations on various quantitative characters were recorded, and the genetic parameters, PCV, GCV, heritability(bs), and genetic advance, along with the analysis of variances, were estimated. According to ANOVA, almost all genotypes exhibited significant variances for all characters. The highest GCV and PCV was found to be pod length (cm), number of pods cluster-1, number of primary branches plant-1, biological yield plant-1 as well as seed yield plant-1. The heritability was recorded high for pod length (cm) followed by number of primary branches plant-1, number of pods cluster-1, days to pod initiation, number of seeds pod-1, days to 50% flowering, seed yield plant-1, biological yield plant-1, number of effective pods plant-1. The character’s days to flower initiation, total number of pods plant-1, harvest index and number of clusters plant-1 revealed medium genetic advance. High heritability(bs) coupled high genetic advance as percent of mean was observed for pod length (cm), number of branches plant-1, number of pods cluster-1, days to pod initiation, number of seeds pod-1, days to 50% flowering, seed yield plant-1, biological yield plant-1 and number of effective pods plant-1.

Evaluation of Genetic Parameters for Yield and its Attributing Traits in Green gram [Vigna radiata (L.) Wilczek]

“…Moderate GCV values observed for number of seeds per pod (16.12%), plant height (14.8%), harvest index (14.08%), pod length (11.33%) and days to 50% flowering (10.11%), while low GCV values were observed days to maturity (5.41%). These observations are in agreement with the findings of Wesly et al [6], Sineka et al [7], Parsaniya et al [8] and Prajapati et al [9].…”

“…The similar kind of results were also reported by Wesly et al[6], Parsaniya et al[8] and Prajapati et al[9].…”

Assessment of Genetic Variability, Heritability and Genetic Advance for Seed Yield and Its Contributing Traits in Greengram [Vigna radiata (L.) Wilczek]

“…The majority of the features examined in this study demonstrated high to moderate genetic progress as a percentage of mean together with high estimates of heritability. [10,11] This may be explained by the high selective value and preponderance of additive gene action, which means that selection pressure can be profitably applied to certain features to improve them logically. The similar kinds of results were also reported by Muthuswamy et al (2022), Parsaniya et al [7] and Rahangdale et al [8].…”

Understanding the Genetic Architecture of Yield and Associated Traits in Soybean (Glycine max L.): Implications for Crop Improvement

“…Johanson et al (1955) had pointed out that the heritability estimates along with genetic advance were more useful than heritability estimates alone in predicting the response to selection. The early reports on high genetic advance as a per cent of mean was recorded for days to 50% flowering Rahaman et al [15], Sonkamble et al [19], Koraddi and Basavaraja [24], for plant height (cm) Ningwal et al ( 2023), Rahaman et al [15], Saicharan et al [17], Nayana and Fakrudin [14], Sonkamble et al [19], Koraddi and Basavaraja [24], Prajapati et al [27], for days to maturity Sonkamble et al [19], for number of primary branches per plants Ningwal et al (2023), Rahaman et al [15], Jandong et al [13], Nayana and Fakrudin [14], Sonkamble et al [19], Guleria et al [23], for number of clusters per plants Nayana and Fakrudin [14], for number of pods per clusters Nayana and Fakrudin [14], for number of pods per plants Ningwal et al (2023), Sahoo et al…”