作物学报2017,Vol.43Issue(12):1784-1790,7.DOI:10.3724/SP.J.1006.2017.01784
基于陆地棉背景的海岛棉染色体片段导入系产量性状QTL定位
QTL Mapping for Yield Components in Gossypium barbadense Chromosome Segment Introgression Lines Based on Gossypium hirsutum Background
摘要
Abstract
Cotton yield is divided into seed cotton yield and lint yield. High lint yield is always the primary breeding goal in cot-ton. Lint yield consists of three components, including boll number per plant, lint percentage and boll weight. Of them, lint per-centage has the highest heritability and is a most important target in breeding for increasing lint yield. Selection of yield compo-nents such as boll number and boll weight is easily affected by environmental factors in temporary segregating populations. It is testified that it is one of efficient methods to map the yield component QTLs and develop the elite lines in molecular breeding by using chromosome segment introgression lines (CSILs). In the present study, we developed a set of CSILs using G. hirsutumacc TM-1 as a recurrent parent and G. barbadense cv. Hai 7124 as a non-recurrent parent through the molecular markers as-sisted-selection. Here, we identified 28 QTLs for yield components under seven environments. Much more QTLs were enriched on Dt subgenome than on At subgenome. The chromosome segments introgressed from G. barbadense have different effects on yields in G. hirsutum background. There were 16 QTLs showing positive additive effects, implying these chromosome segments introgressed from G. barbadense could be used to improve yield components, while 12 QTLs showing negative additive effects, decreasing yield components. Lint percentage in IL008 line anchored with the SSR markers NAU2573 and NAU3576 was sig-nificantly higher than that of the recurrent parent TM-1 under six environments. Therefore, the CSIL IL008 could be used in mo-lecular breeding to improve the lint yield in G. hirsutum.关键词
导入系/产量/QTL定位/加性效应Key words
CSILs/Yield/QTL mapping/Additive Effect引用本文复制引用
朱协飞,王鹏,司占峰,张天真..基于陆地棉背景的海岛棉染色体片段导入系产量性状QTL定位[J].作物学报,2017,43(12):1784-1790,7.基金项目
本研究由国家现代农业产业技术体系建设专项(CARS-18-01)和国家重点研发计划项目(2016YFD0101400)专项资助.This study was supported by the China Agriculture Research System (CARS-18-01) and the National Key R&D Program of China (2016YFD0101400). (CARS-18-01)