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Bayesian modelling of phosphorus content in wheat grain using hyperspectral reflectance data.
Pacheco-Gil, Rosa Angela; Velasco-Cruz, Ciro; Pérez-Rodríguez, Paulino; Burgueño, Juan; Pérez-Elizalde, Sergio; Rodrigues, Francelino; Ortiz-Monasterio, Ivan; Del Valle-Paniagua, David Hebert; Toledo, Fernando.
Afiliação
  • Pacheco-Gil RA; Biometrics and Statistics Unit, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, México. r.a.pacheco@cgiar.org.
  • Velasco-Cruz C; Socioeconomics, Statistics and Informatics Department, Colegio de Postgraduados, Texcoco, México.
  • Pérez-Rodríguez P; Socioeconomics, Statistics and Informatics Department, Colegio de Postgraduados, Texcoco, México.
  • Burgueño J; Biometrics and Statistics Unit, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, México.
  • Pérez-Elizalde S; Socioeconomics, Statistics and Informatics Department, Colegio de Postgraduados, Texcoco, México.
  • Rodrigues F; Lincoln Agritech Ltd, Lincoln University, Canterbury, New Zealand.
  • Ortiz-Monasterio I; Integrated Development Program, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, México.
  • Del Valle-Paniagua DH; Socioeconomics, Statistics and Informatics Department, Colegio de Postgraduados, Texcoco, México.
  • Toledo F; Biometrics and Statistics Unit, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, México.
Plant Methods ; 19(1): 6, 2023 Jan 20.
Article em En | MEDLINE | ID: mdl-36670477
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Plant Methods Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Plant Methods Ano de publicação: 2023 Tipo de documento: Article