Multi-Trait, Multi-Environment Genomic Prediction of Durum Wheat With Genomic Best Linear Unbiased Predictor and Deep Learning Methods.

Montesinos-López, Osval A; Montesinos-López, Abelardo; Tuberosa, Roberto; Maccaferri, Marco; Sciara, Giuseppe; Ammar, Karim; Crossa, José

Montesinos-López, Osval A; Montesinos-López, Abelardo; Tuberosa, Roberto; Maccaferri, Marco; Sciara, Giuseppe; Ammar, Karim; Crossa, José.

Afiliação

Montesinos-López OA; Facultad de Telemática, Universidad de Colima, Colima, Mexico.
Montesinos-López A; Departamento de Matemáticas, Centro Universitario de Ciencias Exactas e Ingenierías (CUCEI), Universidad de Guadalajara, Guadalajara, Mexico.
Tuberosa R; Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy.
Maccaferri M; Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy.
Sciara G; Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy.
Ammar K; Global Wheat Breeding Program, International Maize and Wheat Improvement Center (CIMMYT), Mexico City, Mexico.
Crossa J; Global Wheat Breeding Program, International Maize and Wheat Improvement Center (CIMMYT), Mexico City, Mexico.

Front Plant Sci ; 10: 1311, 2019.

Article em En | MEDLINE | ID: mdl-31787990

Palavras-chave

GBLUP; deep learning; durum wheat; genomic selection; multi-trait; univariate trait

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Plant Sci Ano de publicação: 2019 Tipo de documento: Article País de afiliação: México

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