International Journal of Bio-resource and Stress Management
  • Year: 2023
  • Volume: 14
  • Issue: 11

Exploring genetic variability, correlation and path analysis in fenugreek (Trigonella foenum-graecum L.) for crop improvement

  • Author:
  • Shivraj1, Pramod Kumar2, Rajneesh Kumar3,*, Shambhu Chouhan4, Aman Tutlani5
  • Total Page Count: 7
  • Page Number: 1523 to 1529

1Dept. of Genetics and Plant breeding, College of Agriculture, Agriculture University, Jodhpur, Rajasthan (342 304), India

2Dept. of Agricultural Economics, SKRAU, Bikaner, Rajasthan (334 006), India

3Dept. of Genetics and Plant Breeding, School of Agriculture, Lovely Professional University, Phagwara, Punjab (144 002), India

4Dept. of Agronomy, School of Agriculture, Lovely Professional University, Phagwara, Punjab (144 002), India

5Dept. of Genetics and Plant Breeding, Sher-e-Kashmir University of Agricultural Sciences & Technology of Kashmir, Srinagar (190 017), India

*Corresponding r4rajneesh1997@gmail.com

Online Published on 17 February, 2024.

Abstract

The present investigation has been carried out at Agricultural Research Station, Mandor, Jodhpur during month of rabi season (October, 2016-April, 2017) to evaluate 35 genotypes of fenugreek to assess extent of genetic variability, heritability, genetic advance with correlation and path coefficient for yield and its contributing characters. The material was planted in Randomized Block Design with three replications and observations were recorded on individual plant basis. Analysis of variance recorded significant between genotypes for the characters studies. The genotypic and phenotypic coefficient of variation was higher for seed yield plant−1 (g). High heritability (broad sense) coupled with high genetic advance as percentage of mean was observed for branches plant−1, no. of pods plant−1, pod length (cm), seeds pod−1, test weight (g) and seed yield plant−1 (g). The correlation analysis at genotypic and phenotypic level, seed yield plant−1 was positively significant correlated with branches plant−1, number of pods plant−1, test weight, harvest index, days to 50% flowering, pod length and seeds pod−1, but except days to maturity at phenotype level which was correlated with negative significance. Path coefficient analysis suggested that the highest positive direct effect on grain yield plant−1 was exerted by harvest index (%) followed by seeds pod−1, test weight, days to 50% flowering, plant height and branches plant−1. Number of pods plant−1, pod length (cm) and days to maturity contributed considerable negative direct effect on grain yield plant−1.

Keywords

PCV, GCV, Heritability, Genetic advance, Correlation and path analysis