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 2019 - IJCMAS--ICV 2019: 96.39 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 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
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(10): 873-878
DOI: https://doi.org/10.20546/ijcmas.2020.910.104


Correlation and Path Coefficient Analysis in Blackgram [Vigna mungo (L.) Hepper] Across Seasons
Sidramappa*, P. H. Kuchanur, M. Shobharani, B. Arunkumar, S. A. Kulkarni, H. C. Sowmya, D. Sheela, Laxuman and S. Bharati 
University of Agricultural Sciences, Raichur-585401, Karnataka, India
*Corresponding author
Abstract:

Information on the mutual association of traits is important for effective selection in plant breeding programme. In present investigation, a number of phenological and other yield components traits and their relationship with yield as well as among themselves was examined using correlation analysis. Twenty-five blackgram genotypes of diverse nature including two local checks were evaluated during kharif and summer seasons across three locations to study the nature of association and direct and indirect effects of phenological and yield component traits on seed yield per plant. The data obtained over six environments were subjected to correlation and path coefficient analysis on pooled basis. Out of 10 characters six characters viz., plant height, number branches per plant, number of pods per plant, clusters per plant, pod length and 100-seed weight were highly significant and positively correlated with seed yield across seasons. The important yield related traits like branches per plant, pods per plant and clusters per plant exhibited significant positive association among themselves. The characters which showed high positive correlation with yield like branches per plant, clusters per plant, pods per plant showed high positive direct effects on yield. These results implied the association of these characters with yield is more valuable. Moreover, the indirect effects of these characters through each other are also positive and high indicating the inter-dependent interactions of these characters to form yield.


Keywords: Blackgram, Genotype, Seed yield, Association, Correlation, Path coefficient
Download this article as Download

How to cite this article:

Sidramappa, P. H. Kuchanur, M. Shobharani, B. Arunkumar, S. A. Kulkarni, H. C. Sowmya, D. Sheela, Laxuman and Bharati, S. 2020. Correlation and Path Coefficient Analysis in Blackgram [Vigna mungo (L.) Hepper] Across Seasons.Int.J.Curr.Microbiol.App.Sci. 9(10): 873-878. doi: https://doi.org/10.20546/ijcmas.2020.910.104