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

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
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 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(12): 3743-3748
DOI: https://doi.org/10.20546/ijcmas.2017.612.431


Association Analysis over Different Environments in Soybean [Glycine max (L.) Merrill]
E. Vijayakumar*, R. Sudhagar, C. Vanniarajan and J. Ramalingam
Department of Plant Breeding and Genetics, Agricultural College and Research Institute, Madurai, Tamil Nadu – 625 104, India
*Corresponding author
Abstract:

The correlation and path analysis gives better insight, into cause and effect relationship between different pairs of characters. The present study was carried out on 24 genotypes for eight quantitative characters in three environments. The genetic correlation study revealed that single plant yield showed positive significant correlation with plant height, days to 50% flowering, number of clusters per plant and number of pods per plant in all the three environments studied. On the other hand, hundred seed weight showed negative non-significant correlation with single plant yield on the environments studied. Path analysis revealed that number of pods per plant had the highest direct effect on the single plant yield and it was followed by the number of clusters per plant. Based on the association analysis characters like number of pods per plant, number of clusters per plant, plant height and days to 50% flowering should be given more consideration in breeding for higher grain yield in soybean.


Keywords: Correlation, Path analysis, Soybean
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How to cite this article:

Vijayakumar, E., R. Sudhagar, C. Vanniarajan and Ramalingam, J. 2017. Association Analysis over Different Environments in Soybean (Glycine max (L.) Merrill).Int.J.Curr.Microbiol.App.Sci. 6(12): 3743-3748. doi: https://doi.org/10.20546/ijcmas.2017.612.431