JCR-QTL mapping for fiber quality and yield-related traits across multiple generations in segregating population of CCRI 70
Sep 4, 2019

Biomol - Biotech-Asia Biotechnology JCR Fiber Quality

Journal of Cotton Reseach


[Background] Cotton is a significant economic crop that plays an indispensable role in many domains. Gossypium hirsutum L. is the most important fiber crop worldwide and contributes to more than 95% of global cotton production. Identifying stable quantitative trait locus (QTLs) controlling fiber quality and yield related traits are necessary prerequisites for marker-assisted selection (MAS).

[Results] A genetic linkage map was constructed with 312 simple sequence repeat (SSR) loci and 35 linkage groups using JoinMap 4.0; the map spanned 1 929.9 cM, with an average interval between two markers of 6.19 cM, and covered approximately 43.37% of the cotton genome. A total of 74 QTLs controlling fiber quality and 41 QTLs controlling yield-related traits were identified in 4 segregating generations. These QTLs were distributed across 20 chromosomes and collectively explained 1.01%~27.80% of the observed phenotypic variations. In particular, 35 stable QTLs could be identified in multiple generations, 25 common QTLs were consistent with those in previous studies, and 15 QTL clusters were found in 11 chromosome segments.

[Conclusion] These studies provide a theoretical basis for improving cotton yield and fiber quality for molecular marker-assisted selection.

[Title] QTL mapping for fiber quality and yield-related traits across multiple generations in segregating population of CCRI 70

[Authors] DENG Xiaoying, GONG Juwu, LIU Aiying, SHI Yuzhen, GONG Wankui, GE Qun, LI Junwen, SHANG Haihong, WU Yuxiang & YUAN Youlu

Journal of Cotton Research. 2019, 2:13

https://doi.org/10.1186/s42397-019-0029-y

https://jcottonres.biomedcentral.com/articles/10.1186/s42397-019-0029-y
Be the first to comment this