Yumin Huang

School of Life Science, Xiamen University, Xiamen, 361102, Fujian, China
Author    Correspondence author
Molecular Plant Breeding, 2024, Vol. 15, No. 5   doi: 10.5376/mpb.2024.15.0029
Received: 17 Sep., 2024    Accepted: 17 Oct., 2024    Published: 28 Oct., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Huang Y.M., 2024, Systematic analysis of QTLs for rice yield and quality: from mapping to application, Molecular Plant Breeding, 15(5): 308-316 (doi: 10.5376/mpb.2024.15.0029)

Rice (Oryza sativa L.) is a major food crop crucial to global food security, and its yield and quality are the most important traits for improvement. This study examines the quantitative trait loci (QTL) associated with rice yield and quality, details their localization, mechanism, and application in breeding programs, and explores the historical development of QTL mapping techniques, from traditional two-parent hybridization to advanced methods such as genome-wide association studies (GWAS). The genetic mechanisms and regulatory pathways of key QTLS affecting yield components such as grain number, panicle length, biomass, grain size, amylose content, aroma and other quality traits were discussed. By analyzing previous studies, this study highlights the successful identification and application of these QTLS in the breeding of high-yield and high-quality rice varieties, and illustrates how QTL data can be integrated into breeding strategies through marker-assisted selection (MAS) and genomic selection (GS). The purpose of this study is to provide some scientific basis for the next research.

Rice yield; Rice quality; Quantitative trait loci (QTL); Marker-assisted selection (MAS); Genomic selection (GS)