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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
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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

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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(7): 1560-1565
DOI: https://doi.org/10.20546/ijcmas.2018.707.184


Detection of GxE Interaction using Regression and Cross Over approach in the Germplasm of Cowpea [Vigna unguiculata (L.)] in the Hot -arid Climate of Rajasthan, India
Om Vir Singh*, Neelam Shekhawat, Kartar Singh and R. Gowthami
National Bureau of Plant Genetic Resources, Regional Station, Jodhpur, India
*Corresponding author
Abstract:

Thirty two accessions of cowpea along with checks were evaluated in six seasons i.e. Summer and Kharif of the year 2012, 2013 and 2014 for eight quantitative traits and data were subjected to regression analysis and also the analysis to detect the presence of crossover and non-crossover interactions. Four accessions IC 52110, IC 219594, IC 39897 and IC 202891 were identified to be promising using regression analysis, whereas six accessions IC 39897, IC 202891, IC 20645, IC 202707, IC 202848, and IC 39947 against standard check GC 3 were identified as potential ones by using crossover and non-crossover interactions concept. Of these accessions IC 39897 has been identified as high yielding accessions having specific adaptability and responsiveness to specific environment both by regression analysis and crossover and non-crossover interactions concept.


Keywords: Cowpea, Hot arid climate, Accession x environment interaction, Crossover and non-crossover interactions, Regression analysis
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How to cite this article:

Om Vir Singh, Neelam Shekhawat, Kartar Singh and Gowthami, R. 2018. Detection of GxE Interaction using Regression and Cross Over approach in the Germplasm of Cowpea [Vigna unguiculata (L.)] in the Hot -arid Climate of Rajasthan, India.Int.J.Curr.Microbiol.App.Sci. 7(7): 1560-1565. doi: https://doi.org/10.20546/ijcmas.2018.707.184