Haplotype-based breeding : A new insight in crop improvement

Copyright © 2024. Published by Elsevier B.V.

Bibliographische Detailangaben
Veröffentlicht in:Plant science : an international journal of experimental plant biology. - 1985. - 346(2024) vom: 15. Sept., Seite 112129
1. Verfasser: Sivabharathi, R C (VerfasserIn)
Weitere Verfasser: Rajagopalan, Veera Ranjani, Suresh, R, Sudha, M, Karthikeyan, G, Jayakanthan, M, Raveendran, M
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:Plant science : an international journal of experimental plant biology
Schlagworte:Journal Article Review Candidate gene GWAS Haplotype Linkage disequilibrium
Beschreibung
Zusammenfassung:Copyright © 2024. Published by Elsevier B.V.
Haplotype-based breeding (HBB) is one of the cutting-edge technologies in the realm of crop improvement due to the increasing availability of Single Nucleotide Polymorphisms identified by Next Generation Sequencing technologies. The complexity of the data can be decreased with fewer statistical tests and a lower probability of spurious associations by combining thousands of SNPs into a few hundred haplotype blocks. The presence of strong genomic regions in breeding lines of most crop species facilitates the use of haplotypes to improve the efficiency of genomic and marker-assisted selection. Haplotype-based breeding as a Genomic Assisted Breeding (GAB) approach harnesses the genome sequence data to pinpoint the allelic variation used to hasten the breeding cycle and circumvent the challenges associated with linkage drag. This review article demonstrates ways to identify candidate genes, superior haplotype identification, haplo-pheno analysis, and haplotype-based marker-assisted selection. The crop improvement strategies that utilize superior haplotypes will hasten the breeding progress to safeguard global food security
Beschreibung:Date Completed 15.07.2024
Date Revised 15.07.2024
published: Print-Electronic
Citation Status MEDLINE
ISSN:1873-2259
DOI:10.1016/j.plantsci.2024.112129