These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
170 related articles for article (PubMed ID: 36414135)
1. The effect of high-density genotypic data and different methods on joint genomic prediction: A case study in large white pigs. Zhao W; Zhang Z; Ma P; Wang Z; Wang Q; Zhang Z; Pan Y Anim Genet; 2023 Feb; 54(1):45-54. PubMed ID: 36414135 [TBL] [Abstract][Full Text] [Related]
2. Factors affecting the accuracy of genomic prediction in joint pig populations. Zhao W; Zhang Z; Wang Z; Ma P; Pan Y; Wang Q; Zhang Z Animal; 2023 Oct; 17(10):100980. PubMed ID: 37797495 [TBL] [Abstract][Full Text] [Related]
3. Using imputation-based whole-genome sequencing data to improve the accuracy of genomic prediction for combined populations in pigs. Song H; Ye S; Jiang Y; Zhang Z; Zhang Q; Ding X Genet Sel Evol; 2019 Oct; 51(1):58. PubMed ID: 31638889 [TBL] [Abstract][Full Text] [Related]
4. Weighted Genomic Best Linear Unbiased Prediction for Carcass Traits in Hanwoo Cattle. Lopez BI; Lee SH; Park JE; Shin DH; Oh JD; de Las Heras-Saldana S; van der Werf J; Chai HH; Park W; Lim D Genes (Basel); 2019 Dec; 10(12):. PubMed ID: 31817753 [TBL] [Abstract][Full Text] [Related]
5. Empirical comparison between different methods for genomic prediction of number of piglets born alive in moderate sized breeding populations. Fangmann A; Sharifi RA; Heinkel J; Danowski K; Schrade H; Erbe M; Simianer H J Anim Sci; 2017 Apr; 95(4):1434-1443. PubMed ID: 28464085 [TBL] [Abstract][Full Text] [Related]
6. Genomic prediction based on preselected single-nucleotide polymorphisms from genome-wide association study and imputed whole-genome sequence data annotation for growth traits in Duroc pigs. Zhang Y; Zhuang Z; Liu Y; Huang J; Luan M; Zhao X; Dong L; Ye J; Yang M; Zheng E; Cai G; Wu Z; Yang J Evol Appl; 2024 Feb; 17(2):e13651. PubMed ID: 38362509 [TBL] [Abstract][Full Text] [Related]
7. Integrating large-scale meta-analysis of genome-wide association studies improve the genomic prediction accuracy for combined pig populations. Cai X; Zhang W; Gao N; Wei C; Wu X; Si J; Gao Y; Li J; Yin T; Zhang Z J Anim Breed Genet; 2024 Aug; ():. PubMed ID: 39215551 [TBL] [Abstract][Full Text] [Related]
8. Using genomic selection to improve the accuracy of genomic prediction for multi-populations in pigs. Yin C; Zhou P; Wang Y; Yin Z; Liu Y Animal; 2024 Feb; 18(2):101062. PubMed ID: 38211414 [TBL] [Abstract][Full Text] [Related]
9. Genomic Prediction Using Multi-trait Weighted GBLUP Accounting for Heterogeneous Variances and Covariances Across the Genome. Karaman E; Lund MS; Anche MT; Janss L; Su G G3 (Bethesda); 2018 Nov; 8(11):3549-3558. PubMed ID: 30194089 [TBL] [Abstract][Full Text] [Related]
11. Expanding the application of haplotype-based genomic predictions to the wild: A case of antibody response against Teladorsagia circumcincta in Soay sheep. Vahedi SM; Salek Ardetani S; Brito LF; Karimi K; Pahlavan Afshari K; Banabazi MH BMC Genomics; 2023 Jun; 24(1):335. PubMed ID: 37330501 [TBL] [Abstract][Full Text] [Related]
12. Genome-wide association study and prediction of genomic breeding values for fatty-acid composition in Korean Hanwoo cattle using a high-density single-nucleotide polymorphism array. Bhuiyan MSA; Kim YK; Kim HJ; Lee DH; Lee SH; Yoon HB; Lee SH J Anim Sci; 2018 Sep; 96(10):4063-4075. PubMed ID: 30265318 [TBL] [Abstract][Full Text] [Related]
13. Pre-selecting markers based on fixation index scores improved the power of genomic evaluations in a combined Yorkshire pig population. Ye S; Song H; Ding X; Zhang Z; Li J Animal; 2020; 14(8):1555-1564. PubMed ID: 32209149 [TBL] [Abstract][Full Text] [Related]
14. Genomic evaluation of feed efficiency component traits in Duroc pigs using 80K, 650K and whole-genome sequence variants. Zhang C; Kemp RA; Stothard P; Wang Z; Boddicker N; Krivushin K; Dekkers J; Plastow G Genet Sel Evol; 2018 Apr; 50(1):14. PubMed ID: 29625549 [TBL] [Abstract][Full Text] [Related]
15. Predictive ability of multi-population genomic prediction methods of phenotypes for reproduction traits in Chinese and Austrian pigs. Wang X; Zhang Z; Du H; Pfeiffer C; Mészáros G; Ding X Genet Sel Evol; 2024 Jun; 56(1):49. PubMed ID: 38926647 [TBL] [Abstract][Full Text] [Related]
16. Impact of genotype imputation on the performance of GBLUP and Bayesian methods for genomic prediction. Chen L; Li C; Sargolzaei M; Schenkel F PLoS One; 2014; 9(7):e101544. PubMed ID: 25025158 [TBL] [Abstract][Full Text] [Related]
17. Design of a low-density SNP chip for the main Australian sheep breeds and its effect on imputation and genomic prediction accuracy. Bolormaa S; Gore K; van der Werf JH; Hayes BJ; Daetwyler HD Anim Genet; 2015 Oct; 46(5):544-56. PubMed ID: 26360638 [TBL] [Abstract][Full Text] [Related]
18. Alternative SNP weighting for single-step genomic best linear unbiased predictor evaluation of stature in US Holsteins in the presence of selected sequence variants. Fragomeni BO; Lourenco DAL; Legarra A; VanRaden PM; Misztal I J Dairy Sci; 2019 Nov; 102(11):10012-10019. PubMed ID: 31495612 [TBL] [Abstract][Full Text] [Related]
19. Performances of Adaptive MultiBLUP, Bayesian regressions, and weighted-GBLUP approaches for genomic predictions in Belgian Blue beef cattle. Gualdrón Duarte JL; Gori AS; Hubin X; Lourenco D; Charlier C; Misztal I; Druet T BMC Genomics; 2020 Aug; 21(1):545. PubMed ID: 32762654 [TBL] [Abstract][Full Text] [Related]
20. Use of gene expression and whole-genome sequence information to improve the accuracy of genomic prediction for carcass traits in Hanwoo cattle. de Las Heras-Saldana S; Lopez BI; Moghaddar N; Park W; Park JE; Chung KY; Lim D; Lee SH; Shin D; van der Werf JHJ Genet Sel Evol; 2020 Sep; 52(1):54. PubMed ID: 32993481 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]