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 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - 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.2020.9(9): 1943-1952
DOI: https://doi.org/10.20546/ijcmas.2020.909.244


Study of Quantitative Traits and Association for Yield and its Components in Black Gram (Vigna mungo (L.) Hepper) Genotypes
Alle N. Sarath C. Reddy*, Gabrial M. Lal and V. Siva Krishna
Department of Genetics and Plant Breeding, Naini Agriculture Institute,Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, Uttar Pradesh, India
*Corresponding author
Abstract:

The present investigation was undertaken in 23 genotypes of blackgram [Vigna mungo (L.) Hepper] to study the genetic variability parameters, correlation and path analysis during Kharif, 2019 in Randomized Block Design with three replications. The observations were recorded for fourteen quantitative characters to study genetic variability, heritability, genetic advance, correlation and path analysis. The analysis of variance indicated significant differences among twenty three genotypes for all the characters studied. On the basis of mean performance, the highest seed yield per plant was observed for the blackgram genotypes SU-Urd-23 followed by VBN-6, SU-Urd-34 and SU-Urd-33.The estimates of PCV for all characters were higher than the estimates of GCV indicating the presence of environmental component along with genetic component. High GCV and PCV were observed for number of clusters per plant, number of pods per plant, harvest index, seed yield per plant indicating high variability for these traits. High heritability coupled with high genetic advance as per cent of mean was recorded for plant height, number of clusters per plant, number of pods per plant and harvest index. This indicates the preponderance of additive gene action and hence phenotypic selection would be more effective for further improvement of these traits. Correlation association studies revealed that the characters number of clusters per plant, number of pods per plant, number of pods per cluster, number of seeds per pod and harvest index showed significant and positive correlation with seed yield per plant indicating that selection based on these characters would bring about simultaneous improvement in the seed yield. Path analysis revealed that number of clusters per plant, number of pods per plant, number of pods per cluster and harvest index hadtrue relationship by establishing significant positive associations and positive direct effects on seed yield per plant.


Keywords: Black gram [Vigna mungo (L.) Hepper], GCV, PCV, Variability, Heritability, Genetic Advance, Correlation and Path analysis
Download this article as Download

How to cite this article:

Alle N. Sarath, C. Reddy, Gabrial M. Lal and Siva Krishna, V. 2020. Study of Quantitative Traits and Association for Yield and its Components in Black Gram (Vigna mungo (L.) Hepper) Genotypes.Int.J.Curr.Microbiol.App.Sci. 9(9): 1943-1952. doi: https://doi.org/10.20546/ijcmas.2020.909.244