Review and Progress

Role of Genetic Mapping in Understanding Cotton Fiber Quality Trait  

Wenzhong  Huang , Zhongmei  Hong
CRO Service Station, Sanya Tihitar SciTech Breeding Service Inc., Sanya, 572025, Hainan, China
Author    Correspondence author
Cotton Genomics and Genetics, 2024, Vol. 15, No. 5   
Received: 19 Sep., 2024    Accepted: 18 Oct., 2024    Published: 27 Oct., 2024
© 2024 BioPublisher Publishing Platform
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

With the advancement of molecular breeding technologies, genetic maps have become a crucial tool in un-covering the genetic basis of cotton fiber quality and have played a key role in trait improvement. This study reviews the applications of genetic maps in the research of cotton fiber quality traits, highlighting the pro-gress in quantitative trait locus (QTL) mapping, genome-wide association studies (GWAS), and mark-er-assisted selection (MAS). It also explores how genetic maps reveal the genetic mechanisms related to cot-ton fiber quality and enhance breeding efficiency. The study finds that genetic maps provide essential tools and methods for understanding and improving cotton fiber traits. Through precise localization of genes con-trolling fiber traits, genetic maps offer valuable molecular markers for molecular breeding in cotton, advanc-ing the development of high-quality cotton varieties. With the development of high-density genomic maps and genomic selection (GS) technologies, genetic maps are expected to play an even more significant role in future cotton improvement. The integration of genetic maps with gene editing technologies could further ac-celerate the precision and efficiency of cotton breeding.

Keywords
Gossypium species; Comparative genomics; Gene editing; Genomic selection; Fiber quality
[Full-Text HTML]
Cotton Genomics and Genetics
• Volume 15
View Options
. PDF
. HTML
Associated material
. Readers' comments
Other articles by authors
. Wenzhong  Huang
. Zhongmei  Hong
Related articles
. Gossypium species
. Comparative genomics
. Gene editing
. Genomic selection
. Fiber quality
Tools
. Post a comment