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Genomic prediction based on data from three layer lines using non-linear regression models

Genomic prediction based on data from three layer lines using non-linear regression models

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_wageningen_narcis_oai_library_wur_nl_wurpubs_481024

Genomic prediction based on data from three layer lines using non-linear regression models

About this item

Full title

Genomic prediction based on data from three layer lines using non-linear regression models

Publisher

France: Springer-Verlag

Journal title

Genetics selection evolution (Paris), 2014-11, Vol.46 (1), p.75-75, Article 75

Language

English

Formats

Publication information

Publisher

France: Springer-Verlag

More information

Scope and Contents

Contents

BACKGROUND: Most studies on genomic prediction with reference populations that include multiple lines or breeds have used linear models. Data heterogeneity due to using multiple populations may conflict with model assumptions used in linear regression methods. METHODS: In an attempt to alleviate potential discrepancies between assumptions of linear...

Alternative Titles

Full title

Genomic prediction based on data from three layer lines using non-linear regression models

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_wageningen_narcis_oai_library_wur_nl_wurpubs_481024

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_wageningen_narcis_oai_library_wur_nl_wurpubs_481024

Other Identifiers

ISSN

1297-9686,0999-193X

E-ISSN

1297-9686

DOI

10.1186/s12711-014-0075-3

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