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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 11, Issue:1, January, 2022

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.2022.11(1): 368-374
DOI: https://doi.org/10.20546/ijcmas.2022.1101.044


Genotypic and Phenotypic Correlation Coefficient Study to Identify Best Yield and Yield Attributing Trait for Selection in Maize (Zea mays L.)
Rumit Patel1*, Dipak A. Patel2, Dinesh J. Parmar3 and Praful Sondarava1
1Department of Genetics and Plant Breeding, B. A. College of Agriculture, Anand Agricultural University, Anand - 388 110, India
2Department of Agricultural Biotechnology, Centre of Excellence in Biotechnology,
Anand Agricultural University, Anand - 388 110, India
3Department of Agricultural Statistics, B. A. College of Agriculture,
Anand Agricultural University, Anand - 388 110, India
*Corresponding author
Abstract:

Selection based on perseperformance may not prove effective because yield is a complex trait, whereas selection based on its component character would prove more effective. In this study, plant height, ear height, number of kernels per row, number of kernels per ear, shelling percentage and test weight all had significant and positive associations with grain yield per plant at genotypic and phenotypic levels. General results of correlation studies suggested that grain yield per plant had positive and significant correlation with plant height, ear height, number of kernels per ear, number of kernels per row, ear weight, shelling percent and test weight. While days to 50 per cent tasseling and days to 50 per cent silking established negative but nonsignificant association in at both genotypic and phenotypic levels.


Keywords: Genotypic correlation, Phenotypic correlation, Maize

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How to cite this article:

Rumit Patel, Dipak A. Patel, Dinesh J. Parmar and Praful Sondarava. 2022. Genotypic and Phenotypic Correlation Coefficient Study to Identify Best Yield and Yield Attributing Trait for Selection in Maize (Zea mays L.).Int.J.Curr.Microbiol.App.Sci. 11(1): 368-374. doi: https://doi.org/10.20546/ijcmas.2022.1101.044
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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