Legume Research
Web of Science
  • Year: 2025
  • Volume: 48
  • Issue: 10

Assessment of Yield-contributing Traits and Genetic Variability in Field Pea (Pisum sativum L.) under Heat Stress using Halfdiallel Derived Genotypes

  • Author:
  • Aman Srivastava1, Shiva Nath1, Piyusha Singh1, Poonam Sharma2, Sonali Srivastava1, Anamish Tyagi1, Sujit Kumar Yadav3,*
  • Total Page Count: 8
  • Page Number: 1627 to 1634

1Department of Genetics and Plant Breeding, Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya-224 229, Uttar Pradesh, India

2Department of Genetics and Plant Breeding, Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, Himachal Pradesh, India

3Department of Genetics and Plant Breeding, Swami Keshawanand Rajasthan Agriculture University, Bikaner-334 006, Rajasthan, India

*Corresponding Author: Sujit Kumar Yadav, Department of Genetics and Plant Breeding, Swami Keshawanand Rajasthan Agriculture University, Bikaner-334006, Rajasthan, India, Email: sujit3773@gmail.com

Online published on 4 February, 2026.

Abstract

The field pea is a vital, nutrient-dense and extremely productive cool-season legume crop that is planted all over the world and used for food, feed and fodder. Breeders can speed up the creation of robust, high-yielding cultivars by using half-diallel mating to choose superior parents and possible hybrids.

This study was conducted for analyzing the genetic variability on 55 field pea accessions, encompassing both parental line and there F1 progeny (hybrids) which were raised in late-sown conditions using a randomized block design (RBD) at the Genetics and Plant breeding Farm of Acharya Narendra Deva University of Agriculture and Technology, Ayodhya, Uttar Pradesh, India, over two successive Rabi seasons of 2022-23 and 2023-24. Data for eleven quantitative traits were collected by selecting five plants per plot randomly. ANOVA, PCV and GCV, broad sense heritability (h2b), genetic advance as a percentage of mean, path analysis and correlation coefficient were evaluated using statistical and biometrical methods to investigate the genetic diversity among the field pea genotypes.

All traits showed a significant genetic variation, indicating scope for selection. All traits have higher PCV as compared to GCV, indicating environmental influences on their expression. Secondary branches/plant (27.838%) and primary branches/plant (21.005%) displayed the highest PCV values. Traits that showed significant variation across accessions had heritability ranging from 37.9% to 92.8%, suggesting low to high heritability. Seed yield per plant showed a positive correlation all traits except days to 50% flowering and days to maturity. A notable negative correlation was shown by seed yield plant-1 with days to 50% flowering and days to maturity. Path analysis identified biological yield, pods/plant, 100-seed weight and branches as having strong positive direct effects on yield, while days to flowering/maturity had negative direct effects. Based on these results, it is possible to enhance the yield components of late-sown peas by selecting for high biomass, pod number and seed weight.

Keywords

ANOVA, Correlation, GCV, Genetic advance, Half-diallel, Heat stress, Heritability