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High Resolution Consensus Mapping of Quantitative Trait Loci for Fiber Strength,Length and Micronaire on Chromosome 25 of the Upland Cotton (Gossypium hirsutum L.)
Authors:Zhen Zhang  Junwen Li  Jamshed Muhammad  Juan Cai  Fei Jia  Yuzhen Shi  Juwu Gong  Haihong Shang  Aiying Liu  Tingting Chen  Qun Ge  Koffi Kibalou Palanga  Quanwei Lu  Xiaoying Deng  Yunna Tan  Wei Li  Linyang Sun  Wankui Gong  Youlu Yuan
Institution:1. State Key Laboratory of Cotton Biology, Key Laboratory of biological and genetic breeding of cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.; 2. Anyang Collage of Technology, Anyang, 455000, Henan, China.; USDA-ARS-SRRC, UNITED STATES,
Abstract:Cotton (Gossypium hirsutum L.) is an important agricultural crop that provides renewable natural fiber resources for the global textile industry. Technological developments in the textile industry and improvements in human living standards have increased the requirement for supplies and better quality cotton. Upland cotton 0–153 is an elite cultivar harboring strong fiber strength genes. To conduct quantitative trait locus (QTL) mapping for fiber quality in 0–153, we developed a population of 196 recombinant inbred lines (RILs) from a cross between 0–153 and sGK9708. The fiber quality traits in 11 environments were measured and a genetic linkage map of chromosome 25 comprising 210 loci was constructed using this RIL population, mainly using simple sequence repeat markers and single nucleotide polymorphism markers. QTLs were identified across diverse environments using the composite interval mapping method. A total of 37 QTLs for fiber quality traits were identified on chromosome 25, of which 17 were stably expressed in at least in two environments. A stable fiber strength QTL, qFS-chr25-4, which was detected in seven environments and was located in the marker interval between CRI-SNP120491 and BNL2572, could explain 6.53%–11.83% of the observed phenotypic variations. Meta-analysis also confirmed the above QTLs with previous reports. Application of these QTLs could contribute to improving fiber quality and provide information for marker-assisted selection.
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