Leveraging probability concepts for cultivar recommendation in multi-environment trials.

Dias, Kaio O G; Dos Santos, Jhonathan P R; Krause, Matheus D; Piepho, Hans-Peter; Guimarães, Lauro J M; Pastina, Maria M; Garcia, Antonio A F

Dias, Kaio O G; Dos Santos, Jhonathan P R; Krause, Matheus D; Piepho, Hans-Peter; Guimarães, Lauro J M; Pastina, Maria M; Garcia, Antonio A F.

Afiliación

Dias KOG; Department of Genetics, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, SP, Brazil.
Dos Santos JPR; Department of General Biology, Federal University of Viçosa, Viçosa, Brazil.
Krause MD; Department of Genetics, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, SP, Brazil.
Piepho HP; Department of Agronomy, Iowa State University, Ames, IA, USA.
Guimarães LJM; Biostatistics Unit, University of Hohenheim, Stuttgart, Germany.
Pastina MM; Embrapa Maize and Sorghum, Sete Lagoas, MG, Brazil.
Garcia AAF; Embrapa Maize and Sorghum, Sete Lagoas, MG, Brazil.

Theor Appl Genet ; 135(4): 1385-1399, 2022 Apr.

Article en En | MEDLINE | ID: mdl-35192008

Asunto(s)

Ambiente; Fitomejoramiento; Teorema de Bayes; Genotipo; Fitomejoramiento/métodos; Probabilidad

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ambiente / Fitomejoramiento Tipo de estudio: Prognostic_studies Idioma: En Revista: Theor Appl Genet Año: 2022 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Alemania

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