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Genome-wide identification of genes enabling accurate prediction of hybrid performance from parents across environments and populations for gene-based breeding in maize.
Zhang, Meiping; Liu, Yun-Hua; Wang, Yinglei; Sze, Sing-Hoi; Scheuring, Chantel F; Qi, Xiaoli; Ekinci, Ozge; Pekar, Jacob; Murray, Seth C; Zhang, Hong-Bin.
Afiliação
  • Zhang M; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA. Electronic address: mpzhang@tamu.edu.
  • Liu YH; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA. Electronic address: jessicaliu55@gmail.com.
  • Wang Y; Department of Computer Science, Cornell University, Ithaca, NY 14853, USA. Electronic address: yw287@cornell.edu.
  • Sze SH; Department of Computer Science and Engineering and Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX 77843, USA. Electronic address: shsze@cs.tamu.edu.
  • Scheuring CF; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA. Electronic address: c-scheuring@tamu.edu.
  • Qi X; College of Life Science, Jiamusi University, Jiamusi, Heilongjiang 154007, China. Electronic address: qixiaoli3@tom.com.
  • Ekinci O; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA. Electronic address: oekinci.2918@tamu.edu.
  • Pekar J; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA. Electronic address: jacob.pekar@outlook.com.
  • Murray SC; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA. Electronic address: sethmurray@tamu.edu.
  • Zhang HB; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA. Electronic address: hbz7049@tamu.edu.
Plant Sci ; 324: 111424, 2022 Nov.
Article em En | MEDLINE | ID: mdl-35995113
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Zea mays / Melhoramento Vegetal Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Plant Sci Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Zea mays / Melhoramento Vegetal Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Plant Sci Ano de publicação: 2022 Tipo de documento: Article