Correlation and Path Analysis for Growth and Green Pod Yield of Cluster Bean (Cyamopsis Tetragonoloba L.)
BT Patil, P. D. Chatale, Vaishnavi G. Magar
Abstract
BT Patil, P. D. Chatale, Vaishnavi G. Magar
Abstract
Fifty genotypes of cluster bean [Cyamopsis tetragonoloba (L.) Taub] were evaluated to estimate correlation and path analysis for pod yield during Summer, 2014. Days to first flowering, days to 50% flowering and plant height had negative and significant correlation with green pod yield plot−1 at both genotypic and phenotypic levels. However, number of pod cluster−1, average weight of 50 pods, pod length had positive and highly significant association with green pod yield plot−1 at both genotypic and phenotypic levels indicating possibility of simultaneous selection of these traits to improve pod yield. Path analysis revealed that pod length, number of pods clusters−1, days to first flowering and diameter of pod had high direct effects on green pod yield plot−1 hence, for the improvement of pod yield and these traits would be rewarding during selection.
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Fifty genotypes of cluster bean [Cyamopsis tetragonoloba (L.) Taub] were evaluated to estimate correlation and path analysis for pod yield during Summer, 2014. Days to first flowering, days to 50% flowering and plant height had negative and significant correlation with green pod yield plot−1 at both genotypic and phenotypic levels. However, number of pod cluster−1, average weight of 50 pods, pod length had positive and highly significant association with green pod yield plot−1 at both genotypic and phenotypic levels indicating possibility of simultaneous selection of these traits to improve pod yield. Path analysis revealed that pod length, number of pods clusters−1, days to first flowering and diameter of pod had high direct effects on green pod yield plot−1 hence, for the improvement of pod yield and these traits would be rewarding during selection.
Key concepts: Point of delivery, Cyamopsis, Path analysis (statistics), Path coefficient, Horticulture, Yield (engineering), Biology, Agronomy