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PLoS One. 2015 Jun 25;10(6):e0130742. doi: 10.1371/journal.pone.0130742. eCollection 2015.

QTL Mapping for Fiber and Yield Traits in Upland Cotton under Multiple Environments.

Author information

1
National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University. Wuhan 430070, Hubei, China.

Abstract

A population of 178 recombinant inbred lines (RILs) was developed using a single seed descendant from a cross between G. hirsutum. acc DH962 and G. hirsutum. cv Jimian5, was used to construct a genetic map and to map QTL for fiber and yield traits. A total of 644 polymorphic loci were used to construct a final genetic map, containing 616 loci and spanning 2016.44 cM, with an average of 3.27 cM between adjacent markers. Statistical analysis revealed that segregation distortion in the intraspecific population was more serious than that in the interspecific population. The RIL population and the two parents were phenotyped under 8 environments (two locations, six years), revealing a total of 134 QTL, including 64 for fiber qualities and 70 for yield components, independently detected in seven environments, explaining 4.40-15.28% of phenotypic variation (PV). Among the 134 QTL, 9 common QTL were detected in more than one environment, and 22 QTL and 19 new QTL were detected in combined analysis (E9). A total of 26 QTL hotspot regions were observed on 13 chromosomes and 2 larger linkage groups, and some QTL clusters related to fiber qualities or yield components were also observed. The results obtained in the present study suggested that to map accurate QTL in crops with larger plant types, such as cotton, phenotyping under multiple environments is necessary to effectively apply the obtained results in molecular marker-assisted selection breeding and QTL cloning.

PMID:
26110526
PMCID:
PMC4481505
DOI:
10.1371/journal.pone.0130742
[Indexed for MEDLINE]
Free PMC Article

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