Estimation of Genetic Variability for Grain Yield and Its Contributing Traits in Black Gram [Vigna mungo (L.) Hepper]

The present investigation was conducted during Kharif 2024 at the Organic Research Farm (HRF), Karguanji, Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Bundelkhand University, Jhansi (U.P.), to assess the genetic variability, heritability, genetic advance, and correlation among thirteen morphological and yield-contributing traits in twelve black gram (Vigna mungo L.) genotypes. Analysis of variance revealed highly significant differences among genotypes for all the traits studied, indicating the presence of considerable genetic variability. The widest range of variation was observed for number of pods per plant (19.27–54.73), followed by harvest index (15.47–42.60%) and plant height (24.41–44.50 cm). Genotypic and phenotypic correlation analysis revealed that seed yield per plant was positively and significantly correlated with number of pods per plant, number of seeds per pod, biological yield per plant, and harvest index, suggesting that these traits are major contributors to yield and should be emphasized during selection. Among the evaluated genotypes, T-65, Shekhar-1, KU-321, IPU-09-16, Azad Urd-1, and KU-99-22 were identified as superior performers for seed yield. These genotypes hold potential for use in future breeding and hybridization programs aimed at yield improvement in black gram.

Authors

Institutions

Publication Details

Journal
Asian Journal of Research in Agriculture and Forestry
Published
2025-08-11
DOI
https://doi.org/10.9734/ajraf/2025/v11i3431
Primary Topic
Agricultural pest management studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimation of Genetic Variability for Grain Yield and Its Contributing Traits in Black Gram [Vigna mungo (L.) Hepper]

Mousmi Syed, Eshu Sahu, Mahipat Singh, Subhi Singh
1 links
Asian Journal of Research in Agriculture and Forestry
Agricultural pest management studies
article

Estimation of Genetic Variability for Grain Yield and Its Contributing Traits in Black Gram [Vigna mungo (L.) Hepper]

Mousmi Syed, Eshu Sahu, Mahipat Singh, Subhi Singh
article en

Abstract

The present investigation was conducted during Kharif 2024 at the Organic Research Farm (HRF), Karguanji, Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Bundelkhand University, Jhansi (U.P.), to assess the genetic variability, heritability, genetic advance, and correlation among thirteen morphological and yield-contributing traits in twelve black gram (Vigna mungo L.) genotypes. Analysis of variance revealed highly significant differences among genotypes for all the traits studied, indicating the presence of considerable genetic variability. The widest range of variation was observed for number of pods per plant (19.27–54.73), followed by harvest index (15.47–42.60%) and plant height (24.41–44.50 cm). Genotypic and phenotypic correlation analysis revealed that seed yield per plant was positively and significantly correlated with number of pods per plant, number of seeds per pod, biological yield per plant, and harvest index, suggesting that these traits are major contributors to yield and should be emphasized during selection. Among the evaluated genotypes, T-65, Shekhar-1, KU-321, IPU-09-16, Azad Urd-1, and KU-99-22 were identified as superior performers for seed yield. These genotypes hold potential for use in future breeding and hybridization programs aimed at yield improvement in black gram.

Asian Journal of Research in Agriculture and ForestryVol. 11(3)
Bundelkhand University (IN)
Zero hunger
Openalex Percentile: Top 85%
Agricultural pest management studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.