pubmed-article:20972439 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:20972439 | lifeskim:mentions | umls-concept:C0035567 | lld:lifeskim |
pubmed-article:20972439 | lifeskim:mentions | umls-concept:C2350277 | lld:lifeskim |
pubmed-article:20972439 | lifeskim:mentions | umls-concept:C0599883 | lld:lifeskim |
pubmed-article:20972439 | pubmed:issue | 11 | lld:pubmed |
pubmed-article:20972439 | pubmed:dateCreated | 2010-10-28 | lld:pubmed |
pubmed-article:20972439 | pubmed:abstractText | Uncovering the genetic basis of agronomic traits in crop landraces that have adapted to various agro-climatic conditions is important to world food security. Here we have identified ? 3.6 million SNPs by sequencing 517 rice landraces and constructed a high-density haplotype map of the rice genome using a novel data-imputation method. We performed genome-wide association studies (GWAS) for 14 agronomic traits in the population of Oryza sativa indica subspecies. The loci identified through GWAS explained ? 36% of the phenotypic variance, on average. The peak signals at six loci were tied closely to previously identified genes. This study provides a fundamental resource for rice genetics research and breeding, and demonstrates that an approach integrating second-generation genome sequencing and GWAS can be used as a powerful complementary strategy to classical biparental cross-mapping for dissecting complex traits in rice. | lld:pubmed |
pubmed-article:20972439 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:20972439 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:20972439 | pubmed:language | eng | lld:pubmed |
pubmed-article:20972439 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:20972439 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:20972439 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:20972439 | pubmed:month | Nov | lld:pubmed |
pubmed-article:20972439 | pubmed:issn | 1546-1718 | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:FuY PYP | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:AbeL ELE | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:RanL ALA | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:XXX | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:LiWenjunW | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:ZhangLinL | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:WangLuL | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:ZhaoYanY | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:FengQiQ | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:HuangTaoT | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:ZhaoQiangQ | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:LuYiqiY | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:FanDanlinD | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:WengQijunQ | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:LuTingtingT | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:MengLiL | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:SangTaoT | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:ZhangQi-FaQF | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:LiJiayangJ | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:BucklerEdward... | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:WeiXinghuaX | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:HuangXuehuiX | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:ZhuChuanrangC | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:WangAhongA | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:LiCanyangC | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:GuoYunliY | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:DengLiuweiL | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:LiuKunyanK | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:ZhouTaoyingT | lld:pubmed |
pubmed-article:20972439 | pubmed:author | pubmed-author:JingYufengY | lld:pubmed |
pubmed-article:20972439 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:20972439 | pubmed:volume | 42 | lld:pubmed |
pubmed-article:20972439 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:20972439 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:20972439 | pubmed:pagination | 961-7 | lld:pubmed |
pubmed-article:20972439 | pubmed:dateRevised | 2010-12-2 | lld:pubmed |
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pubmed-article:20972439 | pubmed:year | 2010 | lld:pubmed |
pubmed-article:20972439 | pubmed:articleTitle | Genome-wide association studies of 14 agronomic traits in rice landraces. | lld:pubmed |
pubmed-article:20972439 | pubmed:affiliation | National Center for Gene Research, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China. | lld:pubmed |
pubmed-article:20972439 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:20972439 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
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