Association and Path Analysis of Yield and Its Component Traits for Yield Maximization in Green Gram: A Recent Study

In ten genetically diverse genotypes of green gramme (Vigna radiata L.) and their 24 F2 (segregating) populations, an analysis was done to determine the correlation coefficients among thirteen quantitative traits and to examine the direct and indirect effects of various yield contributing traits on grain yield. The results of the association study show that there is a highly significant and positive correlation between grain yield per plant and traits like number of days until flowering, number of pods per cluster, number of clusters per plant, number of pods per plant, and biological yield per plant (g), suggesting that these traits may be improved simultaneously. However, yield per plant for parents showed a significant negative correlation with primary branches per plant and harvest index at both the genotypic and phenotypic levels. The harvest index showed a negative connection with most of the features at both the genotypic and phenotypic levels. According to route analysis, biological yield per plant, harvest index, and seeds per pod all had a significant direct impact in the intended direction. Biological yield per plant, harvest index, seeds per pod, and clusters per plant may all be improved to maximise seed output per plant. High yielding cultivars can be created by using hybridization followed by direct and indirect selection for these features.

Author(s) Details:

Pushpendra Singh,
Krishi Vigyan Kendra, Piparsama Road, Shivpuri (M.P.), India.

Surendra Singh,
Brahmanand P.G. College, Rath (Hamirpur), Uttar Pradesh, India.

M. K. Bhargava,
Krishi Vigyan Kendra, Piparsama Road, Shivpuri (M.P.), India.

Please see the link here:

Keywords: Green gram, yield, genotypic, phenotypic, correlation coefficient, path analysis.

Leave a Reply

Your email address will not be published.

Previous post Study about an Inventory of Flora in Um Dom Island (Khartoum State), Sudan
Next post Role of Salicylic Acid Application in Production and Postharvest Management of Pears (Pyrus Spp.)