scholarly journals Dissecting the genetic basis of fiber quality and yield traits in interspecific backcross populations of Gossypium hirsutum × Gossypium barbadense

2019 ◽  
Vol 294 (6) ◽  
pp. 1385-1402 ◽  
Author(s):  
Yuzhen Shi ◽  
Aiying Liu ◽  
Junwen Li ◽  
Jinfa Zhang ◽  
Baocai Zhang ◽  
...  
Crop Science ◽  
2005 ◽  
Vol 45 (1) ◽  
pp. cropsci2005.0123a ◽  
Author(s):  
Jean-Marc Lacape ◽  
Trung-Bieu Nguyen ◽  
Brigitte Courtois ◽  
Jean-Louis Belot ◽  
Marc Giband ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Wenfeng Pei ◽  
Jikun Song ◽  
Wenkui Wang ◽  
Jianjiang Ma ◽  
Bing Jia ◽  
...  

Cotton is the most important fiber crop and provides indispensable natural fibers for the textile industry. Micronaire (MIC) is determined by fiber fineness and maturity and is an important component of fiber quality. Gossypium barbadense L. possesses long, strong and fine fibers, while upland cotton (Gossypium hirsutum L.) is high yielding with high MIC and widely cultivated worldwide. To identify quantitative trait loci (QTLs) and candidate genes for MIC in G. barbadense, a population of 250 backcross inbred lines (BILs), developed from an interspecific cross of upland cotton CRI36 × Egyptian cotton (G. barbadense) Hai7124, was evaluated in 9 replicated field tests. Based on a high-density genetic map with 7709 genotyping-by-sequencing (GBS)-based single-nucleotide polymorphism (SNP) markers, 25 MIC QTLs were identified, including 12 previously described QTLs and 13 new QTLs. Importantly, two stable MIC QTLs (qMIC-D03-2 on D03 and qMIC-D08-1 on D08) were identified. Of a total of 338 genes identified within the two QTL regions, eight candidate genes with differential expression between TM-1 and Hai7124 were identified. Our research provides valuable information for improving MIC in cotton breeding.


PLoS ONE ◽  
2016 ◽  
Vol 11 (12) ◽  
pp. e0166970 ◽  
Author(s):  
Hantao Wang ◽  
Cong Huang ◽  
Wenxia Zhao ◽  
Baosheng Dai ◽  
Chao Shen ◽  
...  

2020 ◽  
Author(s):  
Hongge Li ◽  
Zhaoe Pan ◽  
Shoupu He ◽  
Yinhua Jia ◽  
Xiaoli Geng ◽  
...  

Abstract Background: Upland cotton (Gossypium hirsutum) accounts for more than 90% of annual world cotton output due to its high yield potential. However, yield traits and fiber quality traits exhibit negative correlations in most cases. Here, we constructed four F2 populations, using two normal lines and two introgression lines, for simultaneously detection the genetic basis underlying complex traits such as yield and fiber quality in upland cotton. Subsequently, the phenotyping of 8 agronomic and economic traits along with quantitative trait loci (QTL) mapping was implemented. Results: Extensive phenotype variations and transgressive segregation were found across segregation populations. Four genetic maps were constructed with the length of 585.97cM, 752.45cM, 752.45cM and 1163.66cM. The mapping resulted in the identification 50 QTLs (27 were for fiber quality traits and 16 for yield traits) across four populations. Multiple QTLs having the common maker, such as qBW4 and qBW2, or residing in the same QTL cluster, such as qLP9 and qFL9-1, were prioritized for further research. Conclusions: These findings will provide insight into the genetic basis of simultaneous improvement of yield and fiber quality in upland cotton breeding.


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