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Identification of optimal prediction models using multi-omic data for selecting hybrid rice.
Wang, Shibo; Wei, Julong; Li, Ruidong; Qu, Han; Chater, John M; Ma, Renyuan; Li, Yonghao; Xie, Weibo; Jia, Zhenyu.
Afiliación
  • Wang S; Department of Botany & Plant Sciences, University of California, Riverside, CA, USA.
  • Wei J; College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
  • Li R; Department of Botany & Plant Sciences, University of California, Riverside, CA, USA.
  • Qu H; Department of Botany & Plant Sciences, University of California, Riverside, CA, USA.
  • Chater JM; Department of Botany & Plant Sciences, University of California, Riverside, CA, USA.
  • Ma R; Department of Mathematics, Bowdoin College, Brunswick, ME, USA.
  • Li Y; Department of Neuroscience, University of British Columbia, Vancouver, BC, Canada.
  • Xie W; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Jia Z; Department of Botany & Plant Sciences, University of California, Riverside, CA, USA. zhenyuj@ucr.edu.
Heredity (Edinb) ; 123(3): 395-406, 2019 09.
Article en En | MEDLINE | ID: mdl-30911139
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Oryza / Semillas / Quimera / Carácter Cuantitativo Heredable / Máquina de Vectores de Soporte / Modelos Genéticos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Heredity (Edinb) Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Oryza / Semillas / Quimera / Carácter Cuantitativo Heredable / Máquina de Vectores de Soporte / Modelos Genéticos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Heredity (Edinb) Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos