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Quantitative trait loci mapping and genetic dissection for lint percentage in upland cotton (Gossypium hirsutum)

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Abstract

Lint percentage is an important character of cotton yield components and it is also correlated with cotton fibre development. In this study, we used a high lint percentage variety, Baimian1, and a low lint percentage, TM-1 genetic standard for Gossypium hirsutum, as parents to construct a mapping populations in upland cotton (G. hirsutum). A quantitative trait locus/loci (QTL) analysis of lint percentage was performed by using two mapping procedures; composite interval mapping (CIM), inclusive composite interval mapping (ICIM) and the F2:3 populations in 2 years. Six main-effect QTL (M-QTL) for lint percentage (four significant and two suggestive) were detected in both years by CIM, and were located on chr. 3, chr. 19, chr. 26 and chr. 5/chr. 19. Of the six QTL, marker intervals and favourable gene sources of the significant M-QTL, qLP-3(2010) and qLP-3(2011) were consistent. These QTL were also detected by ICIM, and therefore, should preferentially be used for marker-assisted selection (MAS) of lint percentage. Another M-QTL, qLP-19(2010), was detected by two mapping procedures, and it could also be a candidate for MAS. We detected the interaction between two M-QTL and environment, and 11 epistatic QTL (E-QTL) and their interaction with environment by using ICIM. The study also found two EST-SSRs, NAU1187 and NAU1255, linked to M-QTL for lint percentage that could be candidate markers affecting cotton fibre development.

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Acknowledgements

This work was supported by Grants from High-tech Program 863 (2012AA101108), National Natural Science Foundation (31371677), National Major Project of Transgenic Breeding (2012ZX08013007-001-004), Natural Science Research Project of Henan Province (2010A210006).

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Authors and Affiliations

  1. Beijing Key Laboratory of Plant Resources Research and Development, Beijing Technology and Business University, Beijing, 100048, People’s Republic of China

    MIN WANG

  2. Henan Institute of Science and Technology, Xinxiang, 453003, Henan, People’s Republic of China

    CHENGQI LI & QINGLIAN WANG

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  1. MIN WANG
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Correspondence to QINGLIAN WANG.

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[Wang M., Li C. and Wang Q. 2014 Quantitative trait loci mapping and genetic dissection for lint percentage in upland cotton (Gossypium hirsutum). J. Genet. 93, xx–xx]

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WANG, M., LI, C. & WANG, Q. Quantitative trait loci mapping and genetic dissection for lint percentage in upland cotton (Gossypium hirsutum). J Genet 93, 371–378 (2014). https://doi.org/10.1007/s12041-014-0385-9

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