Genetic Variability, Correlation and Path Analysis in Mung Bean Genotypes (Vigna radiata L. Wilczek): An Experimental Investigation

Nalajala, Sindoora and Singh, N. Brajendra and Jeberson, M. Samuel and Sastry, E. V. D. and Yumnam, Sonika and Sinha, Bireshwar and Singh, Okendro (2022) Genetic Variability, Correlation and Path Analysis in Mung Bean Genotypes (Vigna radiata L. Wilczek): An Experimental Investigation. International Journal of Environment and Climate Change, 12 (11). pp. 1846-1854. ISSN 2581-8627

[thumbnail of 1204-Article Text-2141-1-10-20221008.pdf] Text
1204-Article Text-2141-1-10-20221008.pdf - Published Version

Download (843kB)

Abstract

Mung bean (Vigna radiata L. Wilczek) is one of the most important pulse crops due to the high content of protein as well as the ability to nitrogen fixation in soil. Seed yield is the most complex trait which highly influenced by other traits and also the environment. In this view, the study was aimed to evaluate the relationship between yield and yield attributing traits of sixty genotypes of Mung bean. The genotypes exhibited significant variability in respect to all the fourteen quantitative characters studied. Genetic variability studies showed presence of good amount of variation among the sixty genotypes. Highest PCV and GCV was recorded by seed yield followed by number of seeds per plant and primary branch length. The characters, seed yield per plant, number of seeds per plant, primary branch length, biological yield, harvest index, 100 seed weight, number of pods per plant, number of clusters per plant, plant height and number of primary branches had shown high heritability coupled with high genetic advance as percent mean. Seed yield per plant had shown highly significant and positive correlation with number of clusters per plant, number of pods per plant, pod length, number of seeds per pod, number of seeds per plant, biological yield and harvest index at both phenotypic and genotypic levels. Path analysis showed that biological yield and harvest index were the most important characters for yield improvement.

Item Type: Article
Subjects: Archive Digital > Geological Science
Depositing User: Unnamed user with email support@archivedigit.com
Date Deposited: 16 Jan 2023 11:01
Last Modified: 30 Dec 2023 13:38
URI: http://eprints.ditdo.in/id/eprint/13

Actions (login required)

View Item
View Item