Research Insight

Meta-Analysis of Yield-Related Genetic Markers in Cotton  

Shanjun Zhu , Mengting Luo
Institute of Life Science, Jiyang College of Zhejiang A&F University, Zhuji, 311800, Zhejiang, China
Author    Correspondence author
Field Crop, 2024, Vol. 7, No. 6   
Received: 08 Nov., 2024    Accepted: 12 Dec., 2024    Published: 25 Dec., 2024
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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.
Abstract

This study presents a meta-analysis of yield-related genetic markers in cotton, focusing on their historical development, current applications, and future prospects. Advances in genetic marker technologies, including the use of SSRs, SNPs, and high-throughput sequencing, are explored, alongside their association with key yield traits such as boll size, lint weight, and plant height. Marker-assisted selection (MAS) and genomic selection (GS) are evaluated for their roles in improving breeding efficiency. A case study highlights the successful implementation of MAS in cotton breeding programs and the associated challenges. This analysis identifies significant markers and consistent quantitative trait loci (QTLs) across diverse studies, providing insights into emerging trends and practical applications. The study concludes by emphasizing the integration of advanced technologies, the importance of collaborative research, and actionable recommendations to enhance the role of genetic markers in sustainable cotton breeding. These findings offer valuable guidance for researchers and breeders aiming to address future challenges in cotton productivity.

Keywords
Cotton breeding; Genetic markers; Marker-assisted selection; Yield improvement; Quantitative trait loci (QTLs)
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