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Genomic prediction of maize microphenotypes provides insights for optimizing selection and mining diversity.
Yu, Xiaoqing; Leiboff, Samuel; Li, Xianran; Guo, Tingting; Ronning, Natalie; Zhang, Xiaoyu; Muehlbauer, Gary J; Timmermans, Marja C P; Schnable, Patrick S; Scanlon, Michael J; Yu, Jianming.
Afiliação
  • Yu X; Department of Agronomy, Iowa State University, Ames, IA, USA.
  • Leiboff S; Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA.
  • Li X; Department of Agronomy, Iowa State University, Ames, IA, USA.
  • Guo T; Department of Agronomy, Iowa State University, Ames, IA, USA.
  • Ronning N; Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA.
  • Zhang X; Department of Plant Biology, University of Georgia, Athens, GA, USA.
  • Muehlbauer GJ; Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, USA.
  • Timmermans MCP; Center for Plant Molecular Biology, University of Tübingen, Tübingen, Germany.
  • Schnable PS; Department of Agronomy, Iowa State University, Ames, IA, USA.
  • Scanlon MJ; Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA.
  • Yu J; Department of Agronomy, Iowa State University, Ames, IA, USA.
Plant Biotechnol J ; 18(12): 2456-2465, 2020 12.
Article em En | MEDLINE | ID: mdl-32452105
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Zea mays / Genômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Zea mays / Genômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article