Genetic Association among Yield and Other Physiological Characters in Mungbean (Vigna radiata (L.) Wilczek)
Journal Title: International Journal of Plant & Soil Science - Year 2016, Vol 13, Issue 3
Abstract
Aims: Owing to mungbean’s nutritional quality, short duration, high protein and suitability for multiple cropping systems, field experiments were planned to elicit information on morpho-physiological characters, with their interactions. Study Design: The present investigation consisted of 30 mungbean genotypes including one check in Randomized Block Design with three replications. Place and Duration of Study: The experiment was conducted in the Department of Genetics and Plant Breeding, Sam Higginbottom Institute of Agriculture Technology and Sciences, Allahabad, U.P, India. Methodology: The data was recorded for 14 characters to study the variability, heritability, genetic advance, correlation coefficient. Results: Genotype ABL 19 (8.23) was considered as best genotype for seed yield per plant followed by KM08-188 (8.10), (LC) K-851 (7.89). A close perusal of variability coefficients revealed that the differences between PCV and GCV was small indicating little influence of environment on the expression of the characters studied. High to moderate estimates of GCV and PCV were recorded for number of pods per plant, number of clusters per plant, seed yield per plant for morphological characters and peroxidase content for physiological characters. The plant characters plant height, number of clusters/plant, 100 seed weight and harvest index showed positive significant correlation for morphological characters, whereas leaf area index, net assimilation rate, dry matter production and protein content showed positive significant correlation for physiological characters. Conclusion: Thus, these traits are recognized as the efficient and potential for indirect selection for the improvement of mungbean productivity in the present experimental materials.
Authors and Affiliations
P. Keerthi Nandan, Ch. Shalini, G. R. Lavanya
Keywords
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- EP ID EP351442
- DOI 10.9734/IJPSS/2016/29530
- Views 76
- Downloads 0
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