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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:10, October, 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(10): 2523-2527
DOI: https://doi.org/10.20546/ijcmas.2020.910.303


Study of Genetic Variability in Wheat (Triticum aestivum L.)
Anand Kumar1*, Lokendra Singh1, Som Veer Singh2, Sarvendra Kumar1, Anjani Kumar Singh3, Kuldeep Yadav1, Rohit Kumar1 and Ajeet Jaiswal1
1Department of Genetics and Plant Breeding,
2Section of Rabi Cereal, Chandra Shekhar Azad University of Agriculture and Technology, Kanpur, India
3Department of Agriculture Economics, Chandra Shekhar Azad University of Agriculture and Technology, Kanpur
*Corresponding author
Abstract:

The present investigation was carried out with the objective to estimate genetic variability involving 65 genotypes (fifteen parents and fifty F1s crosses) grown in a randomized block design with three replications at crop research farm Nawabganj. The analysis of variance revealed the significant differences among the treatments for five characters out of eight characters indicating considerable variability among the genotypes for number of grain/spike, grain yield/plant (gm), test weight/1000 grain weight (gm), harvest index (%) and protein content. Variability also reflected based on mean, range, phenotypic coefficient of variation and genotypic coefficient of variation therefore selection of the parents under study based on morphological differences for different characters was validated through ANOVA and other parameters. The range varied from 54.20 to 71.80 for number of grains in parents and 56.60 to 66.06for number of grains/spike in F1 generation. Maximum phenotypic coefficient of variation (PCV) of traits grain yield/plant (gm) (36.76) for parents+F1s were generally higher than genotypic coefficients of variance (GCV) of traits grain yield/plant (gm) (36.72) indicating the presence of enough genetic variability in the material under study.


Keywords: Genetic variability, Wheat (Triticum aestivum L.), Randomized block design

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How to cite this article:

Anand Kumar, Lokendra Singh, Som Veer Singh, Sarvendra Kumar, Anjani Kumar Singh, Kuldeep Yadav, Rohit Kumar and Ajeet Jaiswal. 2020. Estimation of Genetic Variability in Wheat (Triticum aestivum L.).Int.J.Curr.Microbiol.App.Sci. 9(10): 2523-2527. doi: https://doi.org/10.20546/ijcmas.2020.910.303
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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