Genotyping strategies for single-step genomic predictions in a simulated sheep population under different scenarios of pedigree error types.

Saved in:
Bibliographic Details
Title: Genotyping strategies for single-step genomic predictions in a simulated sheep population under different scenarios of pedigree error types.
Authors: Rocha AO; Department of Animal Sciences, Purdue University, West Lafayette, IN, United States., Gloria LS; The Pig Improvement Company, Genus PIC, Hendersonville, TN, United States., Araujo AC; AcuFast Swine, AcuFast™, Saskatoon, SK, Canada., Wen H; Department of Animal Sciences, Purdue University, West Lafayette, IN, United States., Wilson CS; USDA, ARS, Range Sheep Production Efficiency Research Unit, Dubois, ID, United States., Freking BA; USDA, ARS, Roman L. Hruska U.S. Meat Animal Research Center, Clay Center, NE, United States., Murphy TW; USDA, ARS, Roman L. Hruska U.S. Meat Animal Research Center, Clay Center, NE, United States., Burke JM; USDA, ARS, Dale Bumpers Small Farms Research Center, Booneville, AR, United States., Lewis RM; Department of Animal Science, University of Nebraska-Lincoln, Lincoln, NE, United States., Brito LF; Department of Animal Sciences, Purdue University, West Lafayette, IN, United States.
Source: Frontiers in genetics [Front Genet] 2025 Nov 10; Vol. 16, pp. 1697103. Date of Electronic Publication: 2025 Nov 10 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101560621 Publication Model: eCollection Cited Medium: Print ISSN: 1664-8021 (Print) Linking ISSN: 16648021 NLM ISO Abbreviation: Front Genet Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1664-8021
DOI:10.3389/fgene.2025.1697103