FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4379056266> ?p ?o ?g. }

• W4379056266 endingPage "4859" @default.
• W4379056266 startingPage "4847" @default.
• W4379056266 abstract "The objectives of this study were to investigate the computational performance and the predictive ability and bias of a single-step SNP BLUP model (ssSNPBLUP) in genotyped young animals with unknown-parent groups (UPG) for type traits, using national genetic evaluation data from the Japanese Holstein population. The phenotype, genotype, and pedigree data were the same as those used in a national genetic evaluation of linear type traits classified between April 1984 and December 2020. In the current study, 2 data sets were prepared: the full data set containing all entries up to December 2020 and a truncated data set ending with December 2016. Genotyped animals were classified into 3 types: sires with classified daughters (S), cows with records (C), and young animals (Y). The computing performance and prediction accuracy of ssSNPBLUP were compared for the following 3 groups of genotyped animals: sires with classified daughters and young animals (SY); cows with records and young animals (CY); and sires with classified daughters, cows with records, and young animals (SCY). In addition, we tested 3 parameters of residual polygenic variance in ssSNPBLUP (0.1, 0.2, or 0.3). Daughter yield deviations (DYD) for the validation bulls and phenotypes adjusted for all fixed effects and random effects other than animal and residual (Yadj) for the validation cows were obtained using the full data set from the pedigree-based BLUP model. The regression coefficients of DYD for bulls (or Yadj for cows) on the genomic estimated breeding value (GEBV) using the truncated data set were used to measure the inflation of the predictions of young animals. The coefficient of determination of DYD on GEBV was used to measure the predictive ability of the predictions for the validation bulls. The reliability of the predictions for the validation cows was calculated as the square of the correlation between Yadj and GEBV divided by heritability. The predictive ability was highest in the SCY group and lowest in the CY group. However, minimal difference was found in predictive abilities with or without UPG models using different parameters of residual polygenic variance. The regression coefficients approached 1.0 as the parameter of residual polygenic variance increased, but regression coefficients were mostly similar regardless of the use of UPG across the groups of genotyped animals. The ssSNPBLUP model, including UPG, was demonstrated as feasible for implementation in the national evaluation of type traits in Japanese Holsteins." @default.
• W4379056266 created "2023-06-02" @default.
• W4379056266 creator A5012507852 @default.
• W4379056266 creator A5013776748 @default.
• W4379056266 creator A5080829747 @default.
• W4379056266 creator A5092069507 @default.
• W4379056266 date "2023-07-01" @default.
• W4379056266 modified "2023-09-25" @default.
• W4379056266 title "Application of single-step single nucleotide polymorphism best linear unbiased predictor model with unknown-parent groups for type traits in Japanese Holsteins" @default.
• W4379056266 cites W1978208556 @default.
• W4379056266 cites W1985051119 @default.
• W4379056266 cites W2032428058 @default.
• W4379056266 cites W2041000916 @default.
• W4379056266 cites W2061696836 @default.
• W4379056266 cites W2062672606 @default.
• W4379056266 cites W2067715889 @default.
• W4379056266 cites W2113803735 @default.
• W4379056266 cites W2132501280 @default.
• W4379056266 cites W2133289541 @default.
• W4379056266 cites W2162851056 @default.
• W4379056266 cites W2164345668 @default.
• W4379056266 cites W2197513341 @default.
• W4379056266 cites W2395745953 @default.
• W4379056266 cites W2601497245 @default.
• W4379056266 cites W2615434453 @default.
• W4379056266 cites W2793320226 @default.
• W4379056266 cites W2899291580 @default.
• W4379056266 cites W2953114318 @default.
• W4379056266 cites W2955708320 @default.
• W4379056266 cites W3026122844 @default.
• W4379056266 cites W3040228870 @default.
• W4379056266 cites W3096000939 @default.
• W4379056266 cites W3120916043 @default.
• W4379056266 cites W4212792754 @default.
• W4379056266 cites W4241494029 @default.
• W4379056266 doi "https://doi.org/10.3168/jds.2022-22541" @default.
• W4379056266 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37268563" @default.
• W4379056266 hasPublicationYear "2023" @default.
• W4379056266 type Work @default.
• W4379056266 citedByCount "0" @default.
• W4379056266 crossrefType "journal-article" @default.
• W4379056266 hasAuthorship W4379056266A5012507852 @default.
• W4379056266 hasAuthorship W4379056266A5013776748 @default.
• W4379056266 hasAuthorship W4379056266A5080829747 @default.
• W4379056266 hasAuthorship W4379056266A5092069507 @default.
• W4379056266 hasBestOaLocation W43790562661 @default.
• W4379056266 hasConcept C103545067 @default.
• W4379056266 hasConcept C104317684 @default.
• W4379056266 hasConcept C105795698 @default.
• W4379056266 hasConcept C135763542 @default.
• W4379056266 hasConcept C144024400 @default.
• W4379056266 hasConcept C149923435 @default.
• W4379056266 hasConcept C153209595 @default.
• W4379056266 hasConcept C154945302 @default.
• W4379056266 hasConcept C2776977481 @default.
• W4379056266 hasConcept C2908647359 @default.
• W4379056266 hasConcept C33923547 @default.
• W4379056266 hasConcept C41008148 @default.
• W4379056266 hasConcept C48921125 @default.
• W4379056266 hasConcept C54355233 @default.
• W4379056266 hasConcept C81917197 @default.
• W4379056266 hasConcept C86803240 @default.
• W4379056266 hasConceptScore W4379056266C103545067 @default.
• W4379056266 hasConceptScore W4379056266C104317684 @default.
• W4379056266 hasConceptScore W4379056266C105795698 @default.
• W4379056266 hasConceptScore W4379056266C135763542 @default.
• W4379056266 hasConceptScore W4379056266C144024400 @default.
• W4379056266 hasConceptScore W4379056266C149923435 @default.
• W4379056266 hasConceptScore W4379056266C153209595 @default.
• W4379056266 hasConceptScore W4379056266C154945302 @default.
• W4379056266 hasConceptScore W4379056266C2776977481 @default.
• W4379056266 hasConceptScore W4379056266C2908647359 @default.
• W4379056266 hasConceptScore W4379056266C33923547 @default.
• W4379056266 hasConceptScore W4379056266C41008148 @default.
• W4379056266 hasConceptScore W4379056266C48921125 @default.
• W4379056266 hasConceptScore W4379056266C54355233 @default.
• W4379056266 hasConceptScore W4379056266C81917197 @default.
• W4379056266 hasConceptScore W4379056266C86803240 @default.
• W4379056266 hasIssue "7" @default.
• W4379056266 hasLocation W43790562661 @default.
• W4379056266 hasLocation W43790562662 @default.
• W4379056266 hasOpenAccess W4379056266 @default.
• W4379056266 hasPrimaryLocation W43790562661 @default.
• W4379056266 hasRelatedWork W1808093461 @default.
• W4379056266 hasRelatedWork W2002128513 @default.
• W4379056266 hasRelatedWork W2018059626 @default.
• W4379056266 hasRelatedWork W2025111268 @default.
• W4379056266 hasRelatedWork W2053116229 @default.
• W4379056266 hasRelatedWork W2053995684 @default.
• W4379056266 hasRelatedWork W2120283276 @default.
• W4379056266 hasRelatedWork W2260983608 @default.
• W4379056266 hasRelatedWork W2562359147 @default.
• W4379056266 hasRelatedWork W2576495038 @default.
• W4379056266 hasVolume "106" @default.
• W4379056266 isParatext "false" @default.
• W4379056266 isRetracted "false" @default.
• W4379056266 workType "article" @default.