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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:1, January, 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(1): 826-832
DOI: https://doi.org/10.20546/ijcmas.2020.901.089


Genetic Variability, Correlation and Path coefficient analysis for Yield and Quality traits in Wheat (Triticum aestivum L.)
Priti Kumari*, Nitish De, Anand Kumarand Anjali Kumari
Department of Plant Breeding and Genetics, Bihar Agricultural University, Sabour (Bhagalpur)-813210, Bihar, India
*Corresponding author
Abstract:

The present study was aimed to estimate the extent of genetic variability for grain yield & its components, genetic association, path coefficient analysis in thirty two diverse genotypes of hexaploid wheat (Triticum aestivum L.) at wheat section of Bihar Agricultural University, Sabour during Rabi season 2017-18.High values of phenotypic and genotypic coefficients of variation were higher for important traits including seed yield per plant, 1000-grain weight per spike, respectively. High heritability were recorded for zinc content, iron content,1000-grain weight, grain yield per plant, days to maturity, grain weight per spike, days to 50%flowering and biological yield. High heritability coupled with high genetic advance were recorded for 1000-grain weight, grain yield per plant grain weight per spike and biological yield indicating that these characters are governed by additive gene effects and directional selection for these traits would be more effective . Grain yield per plant showed positive and significant association with grain weight per spike, biological yield, harvest index, 1000 grain weight, days to maturity and grain yield per plant and positive and significant association with days to 50% flowering, number of effective tillers per plant and it was significantly and negatively associated with protein content and iron content. Path analysis revealed that biological yield had highest direct positive effect on grain yield followed by harvest index, grain weight per spike, number of effective tillers per plant, protein content and days to 50% flowering would be quite effective in improving grain. The present study has clearly indicated the need for giving due weight age to grain weight per spike, biological yield, harvest index, 1000 grain weight and grain yield per plant for improving grain yield in wheat. The above mention traits should be given due emphasis for future wheat genetic improvement because they possess high genetic variance, heritability coupled with high genetic correlation among themselves which may yield high genetic advance under proper selection pressure in a breeding programme.


Keywords: Triticumaestivum L., Genetic variability, Correlation coefficient and path analysis

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How to cite this article:

Priti Kumari, Nitish De, Anand Kumarand Anjali Kumari. 2020. Genetic Variability, Correlation and Path coefficient analysis for Yield and Quality traits in Wheat (Triticum aestivum L.). Int.J.Curr.Microbiol.App.Sci. 9(1): 826-832. doi: https://doi.org/10.20546/ijcmas.2020.901.089
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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