Pharmacognosy

Journal of Pharmacognosy and Phytochemistry

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Journal of Pharmacognosy and Phytochemistry

Vol. 8, Special Issue 3 (2019)

Estimation of variability through genetic parameters and identification of superior pure lines for yield attributing traits in green gram [Vigna radiata (L.)]

Author(s): Pavan K, Reddy P and Chandra Mohan Mehta
Abstract: The entire paper attempts to estimate the variability through genetic parameters and identification of superior pure lines for yield attributing traits in green gram [Vignaradiata (L.)] This analysis of data revealed that, existence of highly significant difference among the pure lines for all the traits. The phenotypic coefficient of variation and genotypic coefficient of variation were comparatively high for seed yield per plant, harvest index, pods per plant, cluster per plant, pods per cluster, seeds per pod, pod length and secondary branches. Heritability and genetic advance as per mean estimates were higher for harvest index followed by pods per plant, seed yield per plant, plant height and number of productive branches per plant. The heritability estimates accompanied with genetic advance indicated the predominance of additive gene action. With respect to findings of the experimental work, pure lines viz., HUM-16, Kopergan, Pusa Vishal and LM-05 were identified as superior with respect to yield attributing traits.
Pages: 55-61  |  509 Views  7 Downloads
How to cite this article:
Pavan K, Reddy P and Chandra Mohan Mehta. Estimation of variability through genetic parameters and identification of superior pure lines for yield attributing traits in green gram [Vigna radiata (L.)]. 2019; 8(3S): 55-61.
Journal of Pharmacognosy and Phytochemistry