Variability, correlation and path coefficient analysis of yield attributing traits in different genotypes of Mung bean (Vigna radiata L.) in Rupandehi, Nepal
Journal Title: International Journal of Experimental Research and Review - Year 2017, Vol 13, Issue 5
Abstract
An experiment was conducted in RCBD design with four replications and seven treatments to estimate the genetic variability, correlation and path coefficient analysis of yield attributing traits in seven genotypes of mung bean at IAAS, Paklihawa Campus, Agronomy farm, Rupandehi, Nepal. During the research time of summer season 2017, the traits data were first recorded, and variation was analyzed using descriptive statistics, genetic parameters, correlation and path coefficient analysis. Mean, Range, Genotypic coefficient of variance, Phenotype coefficient of variance, Heritability, genetic advance, genetic advance as percentage of mean, correlation and path coefficient analysis were conducted for yield and yield component in 7 genotypes of Mungbean. Highest mean estimates coupled with highest range for primary branches, secondary branches, days to 50% flowering and biological yield, Number of pod per plant, grain weight per plant. Yield was positive and significant correlated with primary branch, secondary branch, biological yield and grain weight. Biological yield, pod length, days to 50% flowering and no. of grains per pod contributed maximum positive and direct effect on yield indicating these four traits should be given emphasis while selecting high yielding mungbean cultivar for irrigated condition.
Authors and Affiliations
Sunil Ghimire; Arun Khanal; Ganga Ram Kohar; Bimala Acharya; Anu Basnet; Pragya Kandel; Binita Subedi; Kshitiz Dhakal
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