Applications of Machine Learning Methods to Genomic Selection in Breeding Wheat for Rust Resistance
Applications of Machine Learning Methods to Genomic Selection in Breeding Wheat for Rust Resistance
About this item
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Author / Creator
Publisher
United States: Crop Science Society of America
Journal title
Language
English
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Publication information
Publisher
United States: Crop Science Society of America
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Scope and Contents
Contents
Core Ideas
Genomic‐enabled prediction
Machine learning
Wheat breeding
Rust resistance
New methods and algorithms are being developed for predicting untested phenotypes in schemes commonly used in genomic selection (GS). The prediction of disease resistance in GS has its own peculiarities: a) there is consensus about the additive natu...
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Full title
Applications of Machine Learning Methods to Genomic Selection in Breeding Wheat for Rust Resistance
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TN_cdi_doaj_primary_oai_doaj_org_article_f8c15ddf041941009bdb2b4031ff8a9a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f8c15ddf041941009bdb2b4031ff8a9a
Other Identifiers
ISSN
1940-3372
E-ISSN
1940-3372
DOI
10.3835/plantgenome2017.11.0104
