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The Application of Genome-Wide Association Studies in Plant Breeding
Book chapter

The Application of Genome-Wide Association Studies in Plant Breeding

Niranjan Thakur, Krishnananda Pralhad Ingle, Rutwik Barmukh, Niranjani Gnanapragasam, Yashoda Jadhav, Pramod Sargar and Swapnil Baraskar
Plant Molecular Breeding in Genomics Era, pp.113-148
Advances in Plant Breeding Strategies, Vol. 3, Springer Nature Switzerland
2024

Abstract

Crops Genomic selection GWAS Marker-assisted selection Next-generation sequencing Quantitative trait locus
Originally devised and notably effective in human disease genetics, genome-wide association studies (GWASGenome-wide association studies (GWAS)), also known as association mappingAssociation mapping, have now found widespread adoption across various fields in the realm of plants. Over the past decade, several thousand studies have been published, spanning multiple crop species. The GWAS analysis comprises a well-orchestrated suite of elements, encompassing germplasm selectionGermplasm selection, precise phenotyping, high-throughput genotypingHigh-throughput genotyping, and rigorous statistical analysis. These collective efforts unveil genetic insights into the traits of interest. The applications of GWASGenome-wide association studies (GWAS) paint a vivid canvas of its potential. It acts as a treasure map for Quantitative Trait LociQuantitative Trait Loci (QTLs)(QTLs), guides Genomic SelectionGenomic selection (GS) (GS) and Marker-Assisted Selection (MAS)Marker-assisted selection (MAS), unravels complex trait architectures, and unveils candidate genes associated with target traits. When seamlessly integrated with omicsOmics data, it weaves a holistic narrative of molecular understanding. The identification of such important QTLs holds paramount importance from the standpoint of plant breeders. This chapter presents a detailed landscape of GWAS in plant breedingPlant breeding, illuminated by numerous successful case studies, and heralds a promising future for the role of GWAS in enhancing crop plants.

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