Utilizing Variants Identified with Multiple Genome-Wide Association Study Methods Optimizes Genomic...
Utilizing Variants Identified with Multiple Genome-Wide Association Study Methods Optimizes Genomic Selection for Growth Traits in Pigs
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Full title
Author / Creator
Zhang, Ruifeng , Zhang, Yi , Liu, Tongni , Jiang, Bo , Li, Zhenyang , Qu, Youping , Chen, Yaosheng and Li, Zhengcao
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Improving the prediction accuracies of economically important traits in genomic selection (GS) is a main objective for researchers and breeders in the livestock industry. This study aims at utilizing potentially functional SNPs and QTLs identified with various genome-wide association study (GWAS) models in GS of pig growth traits. We used three wel...
Alternative Titles
Full title
Utilizing Variants Identified with Multiple Genome-Wide Association Study Methods Optimizes Genomic Selection for Growth Traits in Pigs
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_bcfdbb8f538d4ecc994eb9e933e5e3dc
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bcfdbb8f538d4ecc994eb9e933e5e3dc
Other Identifiers
ISSN
2076-2615
E-ISSN
2076-2615
DOI
10.3390/ani13040722
