Genome-wide association studies of 14 agronomic traits in rice landraces

被引：0

作者：

Xuehui Huang

Xinghua Wei

Tao Sang

Qiang Zhao

Qi Feng

Yan Zhao

Canyang Li

Chuanrang Zhu

Tingting Lu

Zhiwu Zhang

Meng Li

Danlin Fan

Yunli Guo

Ahong Wang

Lu Wang

Liuwei Deng

Wenjun Li

Yiqi Lu

Qijun Weng

Kunyan Liu

Tao Huang

Taoying Zhou

Yufeng Jing

Wei Li

Zhang Lin

Edward S Buckler

Qian Qian

Qi-Fa Zhang

Jiayang Li

Bin Han

机构：

[1] National Center for Gene Research,Department of Plant Biology

[2] Institute of Plant Physiology and Ecology,undefined

[3] Shanghai Institutes for Biological Sciences,undefined

[4] Chinese Academy of Sciences,undefined

[5] CAS Key Laboratory of Genome Sciences and Information,undefined

[6] Beijing Institute of Genomics,undefined

[7] Chinese Academy of Sciences,undefined

[8] State Key Laboratory of Rice Biology,undefined

[9] China National Rice Research Institute,undefined

[10] Chinese Academy of Agricultural Sciences,undefined

[11] Michigan State University,undefined

[12] Institute for Genomic Diversity,undefined

[13] Cornell University,undefined

[14] National Center for Soybean Improvement,undefined

[15] State Key Laboratory of Crop Genetics and Germplasm Enhancement,undefined

[16] College of Agriculture,undefined

[17] Nanjing Agricultural University,undefined

[18] US Department of Agriculture–Agricultural Research Service,undefined

[19] National Key Laboratory of Crop Genetic Improvement,undefined

[20] National Center for Plant Gene Research (Wuhan),undefined

[21] Huazhong Agricultural University,undefined

[22] National Center for Plant Gene Research,undefined

[23] Institute of Genetics and Developmental Biology,undefined

[24] Chinese Academy of Sciences,undefined

来源：

Nature Genetics | 2010年 / 42卷

关键词：

D O I：

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中图分类号：

学科分类号：

摘要：

Bin Han and colleagues performed low-coverage sequencing of 517 rice landraces and constructed a high-density haplotype map of the rice genome. They have used this resource to carry out genome-wide association studies for 14 agronomic traits and identify 80 loci with strong association signals.

引用

页码：961 / 967

页数：6

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