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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:11, November, 2018

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(11): 1792-1803
DOI: https://doi.org/10.20546/ijcmas.2018.711.204


Stability Analysis for Grain Yield and Yield Attributing Traits in Basmati Rice Varieties
C. Visalakshi Chandra* and Indra Deo
Department of Genetics and Plant breeding, G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India
*Corresponding author
Abstract:

A field experiment was conducted to evaluate 30 basmati rice genotypes for their stability for yield and yield attributing traits over three growing seasons. Fifteen randomly selected plants were sampled in the middle row of each plot and were used for the analysis. The study indicated that environment + (genotype x environment) was significant for all the characters studied thereby validating the distinctness of the environments considered. The GXE (linear) was highly significant for all the traits considered. This implies that the genotypes varied in linear response to the environments and hence the behaviour of the genotypes could be predicted over environments more accurately. Based on stability parameters and mean, UPR 2825-30-1-2, UPR 3717-4-1-1, Hansraj, IR 36 and IR 64 were found to be stable for yield in all the three environments considered.


Keywords: Rice, Stability, Yield attributing traits, Stability parameters

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How to cite this article:

Visalakshi Chandra, C. and Indra Deo. 2018. Stability Analysis for Grain Yield and Yield Attributing Traits in Basmati Rice Varieties.Int.J.Curr.Microbiol.App.Sci. 7(11): 1792-1803. doi: https://doi.org/10.20546/ijcmas.2018.711.204
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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