Using pre-selected variants from large-scale whole-genome sequence data for single-step genomic predictions in pigs

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource, 1 online resource.

Language: Englisch

Bibliographic citation: Using pre-selected variants from large-scale whole-genome sequence data for single-step genomic predictions in pigs ; volume:55 ; number:1 ; day:26 ; month:7 ; year:2023 ; pages:1-14 ; date:12.2023
Genetics, selection, evolution ; 55, Heft 1 (26.7.2023), 1-14, 12.2023

Creator: Jang, Sungbong
Ros-Freixedes, Roger
Hickey, John M.
Chen, Ching-Yi
Holl, Justin
Herring, William O.
Misztal, Ignacy
Lourenco, Daniela

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12711-023-00831-0

URN: urn:nbn:de:101:1-2023102710424589099513

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:45 AM CEST

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Jang, Sungbong
Ros-Freixedes, Roger
Hickey, John M.
Chen, Ching-Yi
Holl, Justin
Herring, William O.
Misztal, Ignacy
Lourenco, Daniela
SpringerLink (Online service)

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Using pre-selected variants from large-scale whole-genome sequence data for single-step genomic predictions in pigs

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Other Objects (12)

Sparse single-step method for genomic evaluation in pigs

Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP

Correction: Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP

A computationally efficient method for approximating reliabilities in large-scale single-step genomic prediction

Efficient large-scale single-step evaluations and indirect genomic prediction of genotyped selection candidates

A human genome-wide library of local phylogeny predictions for whole-genome inference problems

Weighted single-step GWAS and gene network analysis reveal new candidate genes for semen traits in pigs

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Papyrus: a large-scale curated dataset aimed at bioactivity predictions

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Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population

Sparse single-step method for genomic evaluation in pigs

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Correction: Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP

A computationally efficient method for approximating reliabilities in large-scale single-step genomic prediction

Efficient large-scale single-step evaluations and indirect genomic prediction of genotyped selection candidates

A human genome-wide library of local phylogeny predictions for whole-genome inference problems

Weighted single-step GWAS and gene network analysis reveal new candidate genes for semen traits in pigs

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Papyrus: a large-scale curated dataset aimed at bioactivity predictions

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Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population

Sparse single-step method for genomic evaluation in pigs

Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP

Correction: Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP

A computationally efficient method for approximating reliabilities in large-scale single-step genomic prediction

Efficient large-scale single-step evaluations and indirect genomic prediction of genotyped selection candidates

A human genome-wide library of local phylogeny predictions for whole-genome inference problems

Weighted single-step GWAS and gene network analysis reveal new candidate genes for semen traits in pigs

Whole-genome analysis reveals distinct adaptation signatures to diverse environments in Chinese domestic pigs

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