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 2018 - IJCMAS--ICV 2018: 95.39 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

Indexed in



National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2018: 95.39
For more details click here

See Guidelines to Authors
Current Issues

Original Research Articles

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(6): 1815-1820
DOI: https://doi.org/10.20546/ijcmas.2018.706.216


Genetic Variability, Character Association and Path Analysis of Seed Yield and Its Contributing Traits in Field pea (Pisum sativum L. var. arvense)
Kanhaiya Lal*, Rajesh Kumar, Shiv Prakash Shrivastav, Ashok Kumar and Yogendra Singh
Department of Genetics and Plant Breeding, Narendra Deva University of Agriculture and Technology, Kumarganj, Faizabad -224 229 (U.P.), India
*Corresponding author
Abstract:

One hundred twenty field pea (Pisum sativum L. var. arvense) genotypes were evaluated with four check varieties viz., Ambika, Rachna, HFP 8909 and HUDP 15 to assess the genetic variability, association of different yield traits and direct & indirect effects of these traits on seed yield. Analysis of variance (ANOVA) revealed significant differences among all the genotypes for majority of the traits except number of primary branches per plant. The genotypes showed moderate to high level of genotypic coefficient of variance (GCV) and phenotypic coefficient of variance (PCV). The magnitudes of phenotypic coefficient of variance (PCV) for all the characters were slightly higher than their corresponding genotypic coefficient of variance (GCV), indicated very less environmental influence on the expression of the characters. Higher estimate of GCV (30.414) was recorded for number of seeds per pod followed by seed yield per plant (28.874). Correlation analysis indicated that seed yield per plant exhibited highly significant and positive correlation with harvest index, seeds per pod, pod length and 100-seed weight. Path analysis indicated that the highest positive and direct effect on seed yield per plant was exerted by harvest index and seeds per pod. Highly positive indirect effect on seed yield per plant was exerted by harvest index via seeds per pod, pod length and biological yield per plant. The characters identified above as important direct and indirect yield components can be used in formulation of selection strategy in field pea for selection of high yielding genotypes.


Keywords: Field pea (Pisum sativum L. var. arvense), Genetic variability, Character association and Path coefficient
Download this article as Download

How to cite this article:

Kanhaiya Lal, Rajesh Kumar, Shiv Prakash Shrivastav, Ashok Kumar and Yogendra Singh. 2018. Genetic Variability, Character Association and Path Analysis of Seed Yield and Its Contributing Traits in Field pea (Pisum sativum L. var. arvense).Int.J.Curr.Microbiol.App.Sci. 7(6): 1815-1820. doi: https://doi.org/10.20546/ijcmas.2018.706.216