4.5 Article

Using three selected overlapping RILs to fine-map the yield component QTL on Chro.D8 in Upland cotton

期刊

EUPHYTICA
卷 176, 期 3, 页码 321-329

出版社

SPRINGER
DOI: 10.1007/s10681-010-0204-1

关键词

QTL fine-mapping; Yield components; RIL lines; Backcrossed progeny

资金

  1. High-tech program 863 [2006AA100 105]
  2. Jiangsu province key project [BE2008310, BG2006307]
  3. 111 Project [B08025]

向作者/读者索取更多资源

Cotton yield improvement is vital to fulfill rising global demands. The identification of major quantitative trait loci (QTL) for yield components was helpful in molecular marker-assisted selection (MAS) to improve cotton yield. We previously identified a densely populated QTL region for fiber qualities and yield components on chromosome D8 (Chro.D8) of Upland cotton from a (7235 x TM-1)RIL. In the present study, to fine-map yield component QTLs, we chose three overlapped recombinant inbred lines (RILs) with different intervals included the yield component QTLs, and backcrossed each line with TM-1 to develop three large sized mapping populations. Phenotypic data for yield components were collected in Nanjing (JES/NAU) and Xinjiang (BES/XJ) in 2006 and 2007. Three simple sequence repeat (SSR) genetic linkage maps on chro.D8 were constructed using 907 individuals in (7TR-133 x TM-1)F-2 (Pop A), 670 in (7TR-132 x TM-1)F-2 (Pop B), and 940 in (7TR-214 x TM-1)F-2 (Pop C). Three stable QTLs for boll size, two for lint percentage and one for boll number per plant,were detected on chro.D8 following analysis of three RIL backcrossed F-2/F-2:3 progeny at JES/NAU and BES/XJ although their cultivation practices differ greatly between these two cotton-growing regions. One QTL for boll number per plant exhibited a phenotypic variance (PV) of 5.6-10.1%, three QTLs for boll size exhibited 15.0-35.5% PV and two lint percentage QTLs exhibited 10.9-19.3% PV. Negative correlation between lint yield and fiber strength was confirmed.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据