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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 6, Issue:6, June, 2017

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.2017.6(6): 2405-2408
DOI: https://doi.org/10.20546/ijcmas.2017.606.285


Parent Progeny Regression and Correlation Analysis in Segregating Population of Black Gram (Vigna mungo (L.) Hepper)
Rakesh Gandi* and N. Shunmughavalli
Agricultural College and Research Institute, Killikulam (TNAU), India
*Corresponding author
Abstract:

In the present investigation, nine crosses of black gram (Vigna mungo L.) were evaluated in F2and F3generations for the effective selection for yield and yield components. The segregating generation of the crosses included were PU 06-20 x VBN 4, IPU 2006-01 x ADT3, IPU 2006-01 x VBN 4, IPU 2006-01 x TNY LOCAL, IPU 02-33 x VBN 4, IPU 02-33 x VBN 4, IPU 02-33 x TNY LOCAL, WBG 26 x VBN 3, MASH 114 x VBN 3 and MASH 114 x TNY LOCAL. One way of ascertaining the influence of environment on different characters is parent-progeny regression. In the present study all characters exhibited non-significant both positive and negative direction. This indicated that there is no relationship between F2 values and its progeny mean.


Keywords: Black gram, Correlation and Regression

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How to cite this article:

Rakesh Gandi and Shunmughavalli, N. 2017. Parent Progeny Regression and Correlation Analysis in Segregating Population of Black Gram (Vigna mungo (L.)Hepper).Int.J.Curr.Microbiol.App.Sci. 6(6): 2405-2408. doi: https://doi.org/10.20546/ijcmas.2017.606.285
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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