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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:12, December, 2020

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(12): 379-386
DOI: https://doi.org/10.20546/ijcmas.2020.912.048


Transgressive Segregation and Interrelationship Analysis in Soybean
B. A. Tagad*, V. S. Girase, Rohini Y. Patil and V. V. Bhavsar
Department of Botany, College of Agriculture, (M S), Dhule, India
*Corresponding author
Abstract:

Soybean is economically the most important bean in the world, providing vegetable protein for millions of the people and ingredients for hundreds of chemical products. The aim of this study was to identify the superior transgressive segregants and estimate the correlation coefficient between seed yield, and yield components. Six generations of a crosses were evaluated at Botany Section Farm, College of Agriculture, Dhule (Maharashtra) during Kharif, 2019. The field experiment was arranged in a randomized block design (RBD) with non-replicated fashion. In general, the highest proportion of transgressive segregants were recorded for plant height (28) followed by grain yield per plant (26), number of pods per plant (15), number of seeds per pod (10),100-grain weight (10) and number of primary branches(3). The most promising transgressive segregants observed in F2 generation were Plant No.379 of this cross. Phenotypic correlation of grain yield per plant with nine other characters studied in F2generation of this cross indicated, significant and positive correlations with three other characters viz; number of primary branches per plant, number of pods per plant, number of seeds per pod. These characters also showed significant and positive correlation among themselves uniformly. From the above observations the improvement in grain yield of soybean appears to be possible by selection through aforesaid characters.


Keywords: Transgressive segregation, Correlation coefficient, Soybean

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How to cite this article:

Tagad, B. A., V. S. Girase, Rohini Y. Patil and Bhavsar, V. V. 2020. Transgressive Segregation and Interrelationship Analysis in Soybean.Int.J.Curr.Microbiol.App.Sci. 9(12): 379-386. doi: https://doi.org/10.20546/ijcmas.2020.912.048
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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