Indian Journal of Agricultural Research
SCOPUSWeb of Science
  • Year: 2026
  • Volume: 59
  • Issue: 7

Comprehensive Assessment of Genetic Variability and Selection Strategies in Oat Germplasm for Improved Fodder and Seed Yield in N-W Himalayan Mid-hill Environments

  • Author:
  • Rajni Devi1*, V.K. Sood1, Anuradha2, Amit Rana1, Ajeta Katoch1, Shilpa Kamal3, Abhishek Kumar1
  • Total Page Count: 9
  • Page Number: 1022 to 1030

1Department of Genetics and Plant Breeding, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, Himachal Pradesh, India.

2Department of Vegetable Science and Floriculture, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, Himachal Pradesh, India.

3Department of Floriculture and Landscape Architecture, University of Horticulture and Forestry, Nauni-173 230, Solan, Himachal Pradesh, India.

Corresponding Author: Rajni Devi, Department of Genetics and Plant Breeding, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, Himachal Pradesh, India. Email: rajnidevi037@gmail.com

Abstract

Oat is an important dual purpose annual cereal crop with high adaptability and enhanced nutritional value. Expanding population and squeezing arable land has led to competition for utilization of land for food grains and fodder which necessitates intensified efforts toward more efficient forage production. Hence studying genetic variability in oats becomes crucial for selection of resilient genotypes with traits tailored for resilience and high yield by ensuring crop productivity in varying environmental conditions.

A total of 121 oat germplasm lines were evaluated for sixteen traits using simple lattice design for three years to study genetic variability, trait inter-relationships and conduct principal component and cluster analyses.

Substantial genetic variability was observed for fodder yield and component traits. High coefficients of variation for flag leaf area alongwith its high heritability and genetic advance, underscore its suitability for selection while, moderate GA for tillers per plant and 1000-seed weight, suggested hybridization coupled with selection. Fodder yield displayed significant and positive correlations with multiple traits suggesting effective selection. Path coefficient and principal component analysis identified days to 50% flowering, plant height, leaves per plant, biological and seed yield, dry matter and crude protein yield as optimal selection indices for enhancing fodder yield. Cross-breeding among diverse genotypes from specific clusters within the evaluated panel offers promising avenues for future oat breeding and yield improvement programmes.

Keywords

Avena sativa, Genetic diversity, Germplasm, Heritability, Principal component analysis