1.石河子大学农学院;2.华中农业大学作物遗传改良全国重点实验室;3.新疆维吾尔自治区农业科学院作物研究所
国家重点研发计划 (2023YFD2301200);国家自然基金-地区基金项目 (NO.32260510);自治区重大科技专项(2022A03004);自治区现代农业产业技术体系专项基金(XJARS-03-16);八师石河子市科技局-重点领域科技攻关(2022NY01)
The Fund for National Key Research and Development Program of China (2023YFD2301203-05); The National Natural Science Foundation of China (NO.32260510); Science and Technology Major Project of the Department of Science and Technology of Xinjiang Uygur Autonomous region (2022A03004-1); Supported by the earmarked fund for XJARS-03-16; The Key Project for Science and Technology Development of Shihezi city, Xinjiang Production and Construction Crops (2022NY01)
【目的】本研究利用黄褐棉导入系BC5S5群体,对棉花进行产量和纤维品质的QTL定位,期望通过分子育种技术将黄褐棉的优良基因用于陆地棉的改良,为陆地棉产量和纤维品质的研究奠定基础。【方法】本研究对BC5S5群体进行产量和纤维品质性状进行测定和QTL定位。测定的产量性状为:单铃皮棉重、单铃籽棉重、衣分;测定的纤维品质性状为纤维长度、纤维强度、马克隆值、成熟度、纤维整齐度、短纤维率、纤维伸长率、含水率。【结果】研究表明:1.产量性状受基因控制较明显,受环境影响较小。纤维品质性状受环境和基因互作影响显著,受环境影响大于基因型。2.产量性状与纤维品质性状之间无明显的相关性。3.共检测到80个QTL,63个与纤维品质相关的QTLs,17个与产量性状相关的QTLs,分布在21条染色体上。其中qLW-A06-1、qMCF-A12-1、qFS-A13-1、qSW-A10-1和qSW-D06-1在多个环境中被检测到。4. 鉴定到4个多效性位点A10:88383565、D06:36287101、D06:55819963和D13:60179605,四个位点均与短纤维率(SFC)相关。在ChrA01(2个)、ChrA10(2个)、ChrA13(1个)、ChrD04(1个)和ChrD06(2个)上定位到了8个QTL簇,调控多个纤维品质和产量性状。
[Objective] In this study, QTL mapping of cotton yield and fiber quality was conducted by using BC5S5 population of G.mustelinum L. importing line. It is expected that the excellent genes of G.mustelinum L. can be used for the improvement of Gossypium hirsutum L. through molecular breeding technology, which will lay a foundation for the study of yield and fiber quality of Gossypium hirsutum L.[Methods] In this study, the yield and fiber quality characters of BC5S5 population were determined and QTL was located. The yield characters were as follows: seed cotton weight per boll, lint weight per boll and lint percentage; The measured fiber quality characteristics were fiber length, fiber strength, micronaire value, maturity correction factor, fiber uniformity, short fiber content, fiber elongation and total water content. [Results] The results showed as follows: 1. Yield traits were obviously controlled by genes and less influenced by environment. Fiber quality traits were significantly influenced by the interaction between environment and gene, and were? more influenced by environment than genotype. 2. There was no significant correlation between yield traits and fiber quality traits. 3. A total of 80 QTLs were detected, including 63 QTLs related to fiber quality and 17 QTLs related to yield traits, distributed on 21 chromosomes. Among them, qLW-A06-1, qMCF-A12-1, qFS-A13-1, qSW-A10-1 and qSW-D06-1 were detected in multiple environments. 4. Four polymorphic loci A10:88383565, D06:36287101, D06:55819963 and D13:60179605 were identified, all of which were related to short fiber percentage (SFC). Eight QTL clusters were identified on ChrA01 (2), ChrA10 (2), ChrA13 (1), ChrD04 (1) and ChrD06 (2), which regulated multiple fiber quality and yield traits.
