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Vol. 8, Issue 6 (2019)

Correlation and path coefficient analysis for yield and yield components in blackgram (Vigna mungo (L.) Hepper)

Author(s):
Shalini Ch and GM Lal
Abstract:
Genetic variability and correlations among 82 genotypes of blackgram was assessed for twelve quantitative traits. These genotypes along with two national checks ‘T-9’ and ‘Shekhar-2’ were evaluated Field Experimentation Centre of Genetics and Plant Breeding, SHUATS, Prayagraj, Uttar Pradesh, India. Wide range of variability was observed for quantitative traits The variability study indicated high to moderate phenotypic and genotypic coefficient of variation accompanied by high heritability and genetic advance as percent of mean for traits like number of clusters/plant, number of pods/cluster, primary branches/plant, harvest index and seed yield/plant indicating their importance in selection for yield improvement. Seed yield/ plant showed strong positive correlation with number of clusters/plant, number of pods/cluster and harvest index, these traits has also showed positive direct effect on seed yield indicated scope for improvement through selection of these traits.
Pages: 65-68  |  183 Views  17 Downloads
How to cite this article:
Shalini Ch and GM Lal. Correlation and path coefficient analysis for yield and yield components in blackgram (<em>Vigna mungo </em>(L.) Hepper). The Pharma Innovation Journal. 2019; 8(6): 65-68.
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