"/> , B. Baisakh and D. Swain" /> Study on Genetic Variability, Correlation and Path Coefficient Analysis for Yield and Component Traits in Greengram
Follow
International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2022 - IJCMAS--ICV 2022: 95.28 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020] For more details click here

Login as a Reviewer


See Guidelines to Authors
Current Issues
Download Publication Certificate

Original Research Articles                      Volume : 7, Issue:10, October, 2018

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(10): 3429-3436
DOI: https://doi.org/10.20546/ijcmas.2018.710.398


Study on Genetic Variability, Correlation and Path Coefficient Analysis for Yield and Component Traits in Greengram
Narmada Varma*, B. Baisakh and D. Swain
Department of Plant Breeding and Genetics, College of Agriculture, Orissa University of Agriculture and Technology, Bhubaneswar-751003, Odisha, India
*Corresponding author
Abstract:

Genetic variability is the prime objective for crop improvement fraternity. Higher the amount of variation for a character greater will be the scope of its improvement through selection. Fifty six genotypes of greengram were evaluated in RBD for estimation of genetic variability, heritability, genetic advance, correlation coefficient and path coefficient analysis for yield and component traits. The genotypes showed wide and highly significant variation in all these traits. Seed yield of the genotype varied from 1.8 to 6.1 g/plant. PCV and GCV estimates were high for primary branches per plant. Plant height, pods per plant, days to 50% flowering, and maturity had high heritability with high genetic advance which indicated additive gene effect. Correlation studies indicated that plant height, clusters per plant, pods per plant, pod length, and 100 seed weight showed positive correlation with yield. Pods per plant had highest direct positive effect on yield followed by 100 seed weight.


Keywords: Genetic variability, Correlation, Path coefficient analysis

Download this article as Download

How to cite this article:

Narmada Varma, P., B. Baisakh and Swain, D. 2018. Study on Genetic Variability, Correlation and Path Coefficient Analysis for Yield and Component Traits in Greengram.Int.J.Curr.Microbiol.App.Sci. 7(10): 3429-3436. doi: https://doi.org/10.20546/ijcmas.2018.710.398
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

Citations