Indian Journal of Genetics and Plant Breeding (The)
SCOPUSWeb of Science
  • Year: 2026
  • Volume: 85
  • Issue: 4Supplementary

Identification of potential alleles contributing for yield attributing traits in common bean (Phaseolus vulgaris L.) grown under Western Himalayan Kashmir Valley

  • Author:
  • Mohammad Maqbool Pakhtoon$, Ankit Agrawal1*, Aaqif Zafar2, Jebi Sudan3, Parvaze Ahmad Sofi2, Sajad Majeed Zargar3*
  • Total Page Count: 11
  • Page Number: 754 to 764

1Present address: Department of Life Sciences, Rabindranath Tagore University, Raisen464 993, Madhya Pradesh, India

2Division of Genetics & Plant Breeding, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir (SKUAST-K), Shalimar190 025, Kashmir, India

3Proteomics Laboratory, Division of Plant Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir (SKUAST-K), Shalimar190 025, Kashmir, India

*Corresponding Author: Sajad Majeed Zargar, Proteomics Laboratory, Division of Plant Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir (SKUAST-K), Shalimar190 025, Kashmir, India, E-mail: smzargar@skuastkashmir.ac.in; maqboolbiotech@gmail.com; ankit.agrawal@aisectuniversity.ac.in

Abstract

Common bean is increasingly recognized as a highly beneficial global food source due to its rich nutritional and medicinal properties. The present study assessed the genetic variability among unexplored common bean germplasm using morphological parameters. Phenotypic coefficient of variation values were consistently greater than genotypic coefficient of variation values in both the locations, Wadura and Shuhama emphasized the significant variation. For genotyping and association analysis, 100 SSR markers spanning all chromosomes were employed, which resulted in the amplification of 534 alleles, with an average of 5.34 alleles per marker. The Polymorphism Information Content (PIC) values ranged from 0.5325 to 0.8926, averaging 0.7553. Using both the Mixed Linear Model (MLM) and General Linear Model (GLM) approaches, 4 SSR markers were found to be associated with days to flowering, number of pods per plant, and harvest index, explaining 14–48% of phenotypic variation. Notably, markers BM185 and BMB742 were identified as common in both models. The findings provide valuable genetic insights that can support breeding programs focused on enhancing yield-related traits in the North-Indian Himalayan region.

Keywords

Common bean, morphological parameters, coefficient of variation, association analysis, polymorphism information content