Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture

Abelardo Montesinos-López; Osval A. Montesinos-López; Daniel Gianola; José Crossa; Carlos M. Hernández-Suárez

doi:10.1534/g3.118.200740

Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture

Abelardo Montesinos-López, Osval A. Montesinos-López, Daniel Gianola, View ORCID ProfileJosé Crossa and Carlos M. Hernández-Suárez

G3: Genes, Genomes, Genetics December 1, 2018 vol. 8 no. 12 3813-3828; https://doi.org/10.1534/g3.118.200740

Open Access

Abelardo Montesinos-López

*Departamento de Matemáticas, Centro Universitario de Ciencias Exactas e Ingenierías (CUCEI), Universidad de Guadalajara, 44430, Guadalajara, Jalisco, México

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Osval A. Montesinos-López

†Facultad de Telemática, Universidad de Colima, 28040, Colima, México

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For correspondence: oamontes1@ucol.mx j.crossa@cgiar.org

Daniel Gianola

‡Departments of Animal Sciences, Dairy Science, and Biostatistics and Medical Informatics, University of Wisconsin-Madison, 53706, Madison, Wisconsin

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José Crossa

§International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, 06600, Ciudad de México, México

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ORCID record for José Crossa
For correspondence: oamontes1@ucol.mx j.crossa@cgiar.org

Carlos M. Hernández-Suárez

**Facultad de Ciencias, Universidad de Colima, 28040, Colima, Colima, México

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Supplemental material available at Figshare: https://doi.org/10.6084/m9.figshare.7146758

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Volume 8 Issue 12, December 2018

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Genomic Prediction

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Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture

Abelardo Montesinos-López, Osval A. Montesinos-López, Daniel Gianola, View ORCID ProfileJosé Crossa and Carlos M. Hernández-Suárez

G3: Genes, Genomes, Genetics December 1, 2018 vol. 8 no. 12 3813-3828; https://doi.org/10.1534/g3.118.200740

Open Access

Abelardo Montesinos-López

*Departamento de Matemáticas, Centro Universitario de Ciencias Exactas e Ingenierías (CUCEI), Universidad de Guadalajara, 44430, Guadalajara, Jalisco, México

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Osval A. Montesinos-López

†Facultad de Telemática, Universidad de Colima, 28040, Colima, México

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For correspondence: oamontes1@ucol.mx j.crossa@cgiar.org

Daniel Gianola

‡Departments of Animal Sciences, Dairy Science, and Biostatistics and Medical Informatics, University of Wisconsin-Madison, 53706, Madison, Wisconsin

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José Crossa

§International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, 06600, Ciudad de México, México

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ORCID record for José Crossa
For correspondence: oamontes1@ucol.mx j.crossa@cgiar.org

Carlos M. Hernández-Suárez

**Facultad de Ciencias, Universidad de Colima, 28040, Colima, Colima, México

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Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture

Abelardo Montesinos-López, Osval A. Montesinos-López, Daniel Gianola, View ORCID ProfileJosé Crossa and Carlos M. Hernández-Suárez

G3: Genes, Genomes, Genetics December 1, 2018 vol. 8 no. 12 3813-3828; https://doi.org/10.1534/g3.118.200740

Open Access

Abelardo Montesinos-López

*Departamento de Matemáticas, Centro Universitario de Ciencias Exactas e Ingenierías (CUCEI), Universidad de Guadalajara, 44430, Guadalajara, Jalisco, México

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Osval A. Montesinos-López

†Facultad de Telemática, Universidad de Colima, 28040, Colima, México

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For correspondence: oamontes1@ucol.mx j.crossa@cgiar.org

Daniel Gianola

‡Departments of Animal Sciences, Dairy Science, and Biostatistics and Medical Informatics, University of Wisconsin-Madison, 53706, Madison, Wisconsin

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José Crossa

§International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, 06600, Ciudad de México, México

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ORCID record for José Crossa
For correspondence: oamontes1@ucol.mx j.crossa@cgiar.org

Carlos M. Hernández-Suárez

**Facultad de Ciencias, Universidad de Colima, 28040, Colima, Colima, México

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Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture

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Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture

Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture

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