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Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat.
Krause, Margaret R; González-Pérez, Lorena; Crossa, José; Pérez-Rodríguez, Paulino; Montesinos-López, Osval; Singh, Ravi P; Dreisigacker, Susanne; Poland, Jesse; Rutkoski, Jessica; Sorrells, Mark; Gore, Michael A; Mondal, Suchismita.
Afiliação
  • Krause MR; Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, New York, 14853.
  • González-Pérez L; Global Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Ciudad de México, 06600, México.
  • Crossa J; Global Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Ciudad de México, 06600, México.
  • Pérez-Rodríguez P; Colegio de Postgraduados, CP 56230, Montecillos, Edo. de México, Mexico.
  • Montesinos-López O; Facultad de Telemática, Universidad de Colima, Colima, Colima, 28040, México.
  • Singh RP; Global Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Ciudad de México, 06600, México.
  • Dreisigacker S; Global Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Ciudad de México, 06600, México.
  • Poland J; Department of Plant Pathology, Kansas State University, Manhattan, Kansas, 66506.
  • Rutkoski J; International Rice Research Institute (IRRI), DAPO Box 7777, Metro Manila, 1301, Philippines.
  • Sorrells M; Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, New York, 14853.
  • Gore MA; Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, New York, 14853.
  • Mondal S; Global Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Ciudad de México, 06600, México S.Mondal@cgiar.org.
G3 (Bethesda) ; 9(4): 1231-1247, 2019 04 09.
Article em En | MEDLINE | ID: mdl-30796086
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Triticum / Melhoramento Vegetal Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Mexico Idioma: En Revista: G3 (Bethesda) Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Triticum / Melhoramento Vegetal Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Mexico Idioma: En Revista: G3 (Bethesda) Ano de publicação: 2019 Tipo de documento: Article