文献类型： 外文期刊

作者： Jia, Yinhua ¹ ; Sun, Xiwei ¹ ; Sun, Junling ¹ ; Pan, Zhaoe ¹ ; Wang, Xiwen ¹ ; He, Shoupu ¹ ; Xiao, Songhua ¹ ; Shi, Weijun ¹ ; Zhou, Zhongli ¹ ; Pang, Baoyin ¹ ; Wang, Liru ¹ ; Liu, Jianguang ¹ ; Ma, Jun ¹ ; Du, Xiongming ¹ ; Zhu, Jun ¹ ;

作者机构： 1.Institute of Cotton Research of Chinese Academy of Agricultural Sciences (ICR, CAAS), State Key Laboratory of Cotton Biology, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang, China

2.Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou, China

3.Institute of industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China

4.Economic Crop Research Institute, Xinjiang Academy of Agricultural Science, Urumqi1, China

期刊名称：PLOS ONE （ 影响因子：3.24； 五年影响因子：3.788 ）

ISSN： 1932-6203

年卷期： 2014 年 9 卷 5 期

页码：

收录情况： SCI

摘要： Improving yield is a major objective for cotton breeding schemes, and lint yield and its three component traits (boll number, boll weight and lint percentage) are complex traits controlled by multiple genes and various environments. Association mapping was performed to detect markers associated with these four traits using 651 simple sequence repeats (SSRs). A mixed linear model including epistasis and environmental interaction was used to screen the loci associated with these four yield traits by 323 accessions of Gossypium hirsutum L. evaluated in nine different environments. 251 significant loci were detected to be associated with lint yield and its three components, including 69 loci with individual effects and all involved in epistasis interactions. These significant loci explain similar to 62.05% of the phenotypic variance (ranging from 49.06% similar to 72.29% for these four traits). It was indicated by high contribution of environmental interaction to the phenotypic variance for lint yield and boll numbers, that genetic effects of SSR loci were susceptible to environment factors. Shared loci were also observed among these four traits, which may be used for simultaneous improvement in cotton breeding for yield traits. Furthermore, consistent and elite loci were screened with -Log(10) (P-value) >8.0 based on predicted effects of loci detected in different environments. There was one locus and 6 pairs of epistasis for lint yield, 4 loci and 10 epistasis for boll number, 15 loci and 2 epistasis for boll weight, and 2 loci and 5 epistasis for lint percentage, respectively. These results provided insights into the genetic basis of lint yield and its components and may be useful for marker-assisted breeding to improve cotton production.