Applications of Machine Learning Methods to Genomic Selection in Breeding Wheat for Rust Resistance-Reference-Cited by-同舟云学术

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Applications of Machine Learning Methods to Genomic Selection in Breeding Wheat for Rust Resistance

Published:2018-07 Issue:2 Volume:11 Page:170104
ISSN:1940-3372
Container-title:The Plant Genome
language:en
Short-container-title:Plant Genome

Author:

González‐Camacho Juan Manuel¹,Ornella Leonardo²,Pérez‐Rodríguez Paulino¹,Gianola Daniel³,Dreisigacker Susanne⁴,Crossa José⁴

Affiliation:

1. Statistics and Computer Science Graduate ProgramColegio de Postgraduados, Montecillo, TexcocoMéxicoCP56230

2. NIDERASA 2600 VenadoTuertoArgentina

3. Dep. of Animal Sciences, Dairy Science, and Biostatistics and Medical InformaticsUniv. of WisconsinMadisonWI

4. Biometrics and Statistics Unit, International Maize and Wheat Improvement Center (CIMMYT)Apdo.México City

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science,Genetics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.3835/plantgenome2017.11.0104

Reference69 articles.

1. Breeding schemes for the implementation of genomic selection in wheat ( Triticum spp . )

2. Genomewide Selection when Major Genes Are Known

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