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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 8, Issue:6, June, 2019

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.2019.8(6): 1529-1534
DOI: https://doi.org/10.20546/ijcmas.2019.806.184


Genomic Selection in Crop Improvement – An Overview
Nenavath Krishna Kumar Rathod1*, Noor E. Mujjassim2, M. Mallik3 and S.D. Nehru4
1Division of Genetics, Indian Agricultural Research Institute, Pusa Campus, New Delhi, India
2Department of Genetics and Plant Breeding, University of Agricultural Sciences, GKVK, Bengaluru, Karnataka, India
3Division of Genetics, Indian Agricultural Research Institute, Pusa Campus, New Delhi, India
4AICRP on Sunflower, UAS, GKVK, Bengaluru, Karnataka, India
*Corresponding author
Abstract:

Genomic selection (GS) is a form of marker-assisted selection in which genetic markers covering the whole genome are used so that all quantitative trait loci (QTL) are in linkage disequilibrium with at least one marker. With advances in molecular biology and marker technology, a new era of molecular breeding has emerged that has greatly accelerated the pace of plant breeding. Whole-genome prediction models estimate all marker effects in all loci and capture small QTL effects. Here, we review difference between MAS and Genomic selection (GS) along with GS models with respect to both the prediction accuracy and genetic gain from selection.


Keywords: Genomic selection, Linkage disequilibrium, Polymorphism

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How to cite this article:

Nenavath Krishna Kumar Rathod, Noor E. Mujjassim, M. Mallik and Nehru, S.D. 2019. Genomic Selection in Crop Improvement – An Overview.Int.J.Curr.Microbiol.App.Sci. 8(6): 1529-1534. doi: https://doi.org/10.20546/ijcmas.2019.806.184
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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