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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here
ICV 2022: 95.28
Index Copernicus ICI Journals Master List 2022 - IJCMAS--ICV 2022: 95.28
For more details click here
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Original Research Articles                      Volume : 9, Issue:8, August, 2020
PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
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Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
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Int.J.Curr.Microbiol.App.Sci.2020.9(8): 3372-3375
DOI: https://doi.org/10.20546/ijcmas.2020.908.389


Application of Correlation Analysis in Conventional Plant Breeding and Genome Wide Association Mapping
Praveen Kumar1* and Mainu Hazarika2
1Lovely Professional University-Phagwara (Punjab), India
2Assam Agricultural University-Jorhat (Assam), India
*Corresponding author
Abstract:

Information on correlation of yield and its component attributes and their direct and indirect effects on grain yield are of paramount significance. Correlation in combination with path analysis would give a better insight into cause and effect relationship between different pairs of characters. It is also helpful to study the correlation in genome wide association mapping to deep insights the linkage, direction and magnitude of each and every traits of grain yield and its components traits.


Keywords: Conventional Plant Breeding, Genome Wide Association Mapping

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How to cite this article:

Praveen Kumar and Mainu Hazarika. 2020. Application of Correlation Analysis in Conventional Plant Breeding and Genome Wide Association Mapping.Int.J.Curr.Microbiol.App.Sci. 9(8): 3372-3375. doi: https://doi.org/10.20546/ijcmas.2020.908.389
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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