Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics.

Togninalli, Matteo; Wang, Xu; Kucera, Tim; Shrestha, Sandesh; Juliana, Philomin; Mondal, Suchismita; Pinto, Francisco; Govindan, Velu; Crespo-Herrera, Leonardo; Huerta-Espino, Julio; Singh, Ravi P; Borgwardt, Karsten; Poland, Jesse

Togninalli, Matteo; Wang, Xu; Kucera, Tim; Shrestha, Sandesh; Juliana, Philomin; Mondal, Suchismita; Pinto, Francisco; Govindan, Velu; Crespo-Herrera, Leonardo; Huerta-Espino, Julio; Singh, Ravi P; Borgwardt, Karsten; Poland, Jesse.

Afiliação

Togninalli M; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Wang X; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Kucera T; Visium, Lausanne, Switzerland.
Shrestha S; Department of Plant Pathology, Kansas State University, Manhattan, KS, United States.
Juliana P; Department of Agricultural and Biological Engineering, IFAS Gulf Coast Research and Education Center, University of Florida, Wimauma, FL, United States.
Mondal S; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Pinto F; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Govindan V; Department of Machine Learning and Systems Biology, Max Planck Institute of Biochemistry, Martinsried, Germany.
Crespo-Herrera L; Department of Plant Pathology, Kansas State University, Manhattan, KS, United States.
Huerta-Espino J; Global Wheat Program, International Maize and Wheat Improvement Center, Texcoco, Estado de Mexico, Mexico.
Singh RP; Global Wheat Program, International Maize and Wheat Improvement Center, Texcoco, Estado de Mexico, Mexico.
Borgwardt K; Global Wheat Program, International Maize and Wheat Improvement Center, Texcoco, Estado de Mexico, Mexico.
Poland J; Global Wheat Program, International Maize and Wheat Improvement Center, Texcoco, Estado de Mexico, Mexico.

Bioinformatics ; 39(6)2023 06 01.

Article em En | MEDLINE | ID: mdl-37220903

Assuntos

Aprendizado Profundo; Fenômica; Triticum/genética; Melhoramento Vegetal/métodos; Seleção Genética; Fenótipo; Genótipo; Genômica/métodos; Grão Comestível/genética

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Fenômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suíça

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