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Construction of a High‐Density Genetic Map and Its Application to QTL Identification for Fiber Strength in Upland Cotton
Author(s) -
Zhang Zhen,
Ge Qun,
Liu Aiying,
Li Junwen,
Gong Juwu,
Shang Haihong,
Shi Yuzhen,
Chen Tingting,
Wang Yanling,
Palanga Koffi Kibalou,
Muhammad Jamshed,
Lu Quanwei,
Deng Xiaoying,
Tan Yunna,
Liu Ruixian,
Zou Xianyan,
Rashid Harun,
Iqbal Muhammad Sajid,
Gong Wankui,
Yuan Youlu
Publication year - 2017
Publication title -
crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 147
eISSN - 1435-0653
pISSN - 0011-183X
DOI - 10.2135/cropsci2016.06.0544
Subject(s) - quantitative trait locus , biology , population , fiber , single nucleotide polymorphism , microbiology and biotechnology , agronomy , genetics , gene , genotype , materials science , composite material , demography , sociology
Cotton ( Gossypium sp.) is an important worldwide cash crop that provides a competitive renewable natural fiber supply for the demands of textile industry. The development of new textile technologies and the improvement of living standards increase the demands for both fiber quantity and fiber quality. ‘0–153’ is an upland cotton cultivar with excellent fiber quality derived from Asiatic cotton sources, especially with regards to fiber strength. To identify quantitative trait loci (QTLs) for fiber strength in this line, a recombinant inbred line population consisting of 196 lines was developed from a cross between it and ‘sGK9708’. A genetic linkage map consisting of 2393 loci was constructed using this recombinant inbred line population, with single nucleotide polymorphism (SNP) markers from the IntlCottonSNPConsortium_70k chip. Quantitative trait loci for fiber strength were detected across 11 environments using both single‐environment and combined multiple‐environment models. A total of 63 QTLs controlling fiber strength were detected by the single‐environment model. Sixteen QTLs were identified by the combined multiple‐environment model. These QTLs could make a contribution to the improvement of fiber quality via marker‐assisted selection and provide useful information for QTL fine mapping and functional gene research activities as well.