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Identification of genetic variants associated with maize flowering time using an extremely large multi-genetic background population.
Li, Yong-Xiang; Li, Chunhui; Bradbury, Peter J; Liu, Xiaolei; Lu, Fei; Romay, Cinta M; Glaubitz, Jeffrey C; Wu, Xun; Peng, Bo; Shi, Yunsu; Song, Yanchun; Zhang, Dengfeng; Buckler, Edward S; Zhang, Zhiwu; Li, Yu; Wang, Tianyu.
  • Li YX; Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 10008, China.
  • Li C; Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 10008, China.
  • Bradbury PJ; Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA.
  • Liu X; Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA.
  • Lu F; Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA.
  • Romay CM; Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA.
  • Glaubitz JC; Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA.
  • Wu X; Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 10008, China.
  • Peng B; Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 10008, China.
  • Shi Y; Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 10008, China.
  • Song Y; Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 10008, China.
  • Zhang D; Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 10008, China.
  • Buckler ES; Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA.
  • Zhang Z; United States Department of Agriculture-Agricultural Research Service, Ithaca, NY, 14853, USA.
  • Li Y; Department of Animal Science, Northeast Agricultural University, Harbin, Heilongjiang, 150030, China.
  • Wang T; Department of Crop and Soil Sciences, Washington State University, Pullman, WA, 99164, USA.
Plant J ; 86(5): 391-402, 2016 06.
Article en En | MEDLINE | ID: mdl-27012534
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Variación Genética / Zea mays / Estudio de Asociación del Genoma Completo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2016 Tipo del documento: Article
Texto completo
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XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Variación Genética / Zea mays / Estudio de Asociación del Genoma Completo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2016 Tipo del documento: Article