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Research Article Open access CC BY 4.0

Genetic Variability, Correlation and Path Coefficient Analysis for Yield and Yield Components in Blackgram (Vigna mungo (L.) Hepper): Experimental Investigation

Lalam Gangadhar, Gaibriyal M. Lal, G. Roopa Lavanya, U. Karthik, K. Varaprasad

International Journal of Plant & Soil Science · pp. 519–531 · Published 10 Oct 2022

10.9734/ijpss/2022/v34i2331615

Abstract

The goal of the current study was to calculate the genotypic correlation and genetic variability for 13 quantitative traits among 25 black-gram genotypes. The genotypes PLU-429 and PL-416 had a high seed yield. High PCV and GCV values were found for the traits biological yield per plant, harvest index, number of primary branches per plant, and number of pods per plant. The parameters of number of major branches per plant, number of pods per plant, biological yield per plant, and harvest index were found to have high heritability along with high GAM. According to association studies, there was a significant and positive genotypic and phenotypic correlation coefficient for the variables like principal branches per plant, clusters per plant, pods per plant, and harvest index. According to a path analysis, primary branches per plant, clusters per plant, pods per plant, and harvest index both at the genotypic and phenotypic levels all contributed significantly to the highest positive direct effect. In order to improve black-gram, it would therefore be more fruitful to select the aforementioned attributes simultaneously.

Blackgram GCV PCV correlation path coefficient

Cited by 1

Potential of Seed Priming to Ameliorate Plant Productivity and Augment Active Nodulation in Vigna mungo for Sustainable Agriculture

Prajapati Divyansukumar, Sam A. Masih, Ann Maxton · Current Agriculture Research Journal · 2025

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