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.
215 related articles for article (PubMed ID: 37028956)
21. Effect of genotyped cows in the reference population on the genomic evaluation of Holstein cattle. Uemoto Y; Osawa T; Saburi J Animal; 2017 Mar; 11(3):382-393. PubMed ID: 27515004 [TBL] [Abstract][Full Text] [Related]
22. Genomic Loci Affecting Milk Production in German Black Pied Cattle (DSN). Korkuć P; Arends D; May K; König S; Brockmann GA Front Genet; 2021; 12():640039. PubMed ID: 33763120 [TBL] [Abstract][Full Text] [Related]
23. Accuracy of genomic breeding values in multi-breed dairy cattle populations. Hayes BJ; Bowman PJ; Chamberlain AC; Verbyla K; Goddard ME Genet Sel Evol; 2009 Nov; 41(1):51. PubMed ID: 19930712 [TBL] [Abstract][Full Text] [Related]
24. Reliability of genomic prediction for German Holsteins using imputed genotypes from low-density chips. Segelke D; Chen J; Liu Z; Reinhardt F; Thaller G; Reents R J Dairy Sci; 2012 Sep; 95(9):5403-5411. PubMed ID: 22916947 [TBL] [Abstract][Full Text] [Related]
25. Improving Genomic Predictions in Multi-Breed Cattle Populations: A Comparative Analysis of BayesR and GBLUP Models. Ma H; Li H; Ge F; Zhao H; Zhu B; Zhang L; Gao H; Xu L; Li J; Wang Z Genes (Basel); 2024 Feb; 15(2):. PubMed ID: 38397242 [TBL] [Abstract][Full Text] [Related]
26. Comparison of genomic predictions using genomic relationship matrices built with different weighting factors to account for locus-specific variances. Su G; Christensen OF; Janss L; Lund MS J Dairy Sci; 2014 Oct; 97(10):6547-59. PubMed ID: 25129495 [TBL] [Abstract][Full Text] [Related]
27. 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]
28. Multibreed genomic evaluation for production traits of dairy cattle in the United States using single-step genomic best linear unbiased predictor. Cesarani A; Lourenco D; Tsuruta S; Legarra A; Nicolazzi EL; VanRaden PM; Misztal I J Dairy Sci; 2022 Jun; 105(6):5141-5152. PubMed ID: 35282922 [TBL] [Abstract][Full Text] [Related]
29. High-density marker imputation accuracy in sixteen French cattle breeds. Hozé C; Fouilloux MN; Venot E; Guillaume F; Dassonneville R; Fritz S; Ducrocq V; Phocas F; Boichard D; Croiseau P Genet Sel Evol; 2013 Sep; 45(1):33. PubMed ID: 24004563 [TBL] [Abstract][Full Text] [Related]
30. Genomic prediction using different estimation methodology, blending and cross-validation techniques for growth traits and visual scores in Hereford and Braford cattle. Campos GS; Reimann FA; Cardoso LL; Ferreira CER; Junqueira VS; Schmidt PI; Braccini Neto J; Yokoo MJI; Sollero BP; Boligon AA; Cardoso FF J Anim Sci; 2018 Jun; 96(7):2579-2595. PubMed ID: 29741705 [TBL] [Abstract][Full Text] [Related]
31. Utility of multi-omics data to inform genomic prediction of heifer fertility traits. Tahir MS; Porto-Neto LR; Reverter-Gomez T; Olasege BS; Sajid MR; Wockner KB; Tan AWL; Fortes MRS J Anim Sci; 2022 Dec; 100(12):. PubMed ID: 36239447 [TBL] [Abstract][Full Text] [Related]
32. Estimation of genomic breeding values for residual feed intake in a multibreed cattle population. Khansefid M; Pryce JE; Bolormaa S; Miller SP; Wang Z; Li C; Goddard ME J Anim Sci; 2014 Aug; 92(8):3270-83. PubMed ID: 25074450 [TBL] [Abstract][Full Text] [Related]
33. Genomic analyses of claw disorders in Holstein cows: Genetic parameters, trait associations, and genome-wide associations considering interactions of SNP and heat stress. Sölzer N; May K; Yin T; König S J Dairy Sci; 2022 Oct; 105(10):8218-8236. PubMed ID: 36028345 [TBL] [Abstract][Full Text] [Related]
34. Within- and across-breed genomic prediction using whole-genome sequence and single nucleotide polymorphism panels. Iheshiulor OO; Woolliams JA; Yu X; Wellmann R; Meuwissen TH Genet Sel Evol; 2016 Feb; 48():15. PubMed ID: 26895843 [TBL] [Abstract][Full Text] [Related]
35. Prediction accuracies and genetic parameters for test-day traits from genomic and pedigree-based random regression models with or without heat stress interactions. Bohlouli M; Alijani S; Naderi S; Yin T; König S J Dairy Sci; 2019 Jan; 102(1):488-502. PubMed ID: 30343923 [TBL] [Abstract][Full Text] [Related]
36. Strategies and utility of imputed SNP genotypes for genomic analysis in dairy cattle. Khatkar MS; Moser G; Hayes BJ; Raadsma HW BMC Genomics; 2012 Oct; 13():538. PubMed ID: 23043356 [TBL] [Abstract][Full Text] [Related]
37. Genomic prediction in French Charolais beef cattle using high-density single nucleotide polymorphism markers. Gunia M; Saintilan R; Venot E; Hozé C; Fouilloux MN; Phocas F J Anim Sci; 2014 Aug; 92(8):3258-69. PubMed ID: 24948648 [TBL] [Abstract][Full Text] [Related]
38. Genome-Wide Association Study Using Whole-Genome Sequence Data for Fertility, Health Indicator, and Endoparasite Infection Traits in German Black Pied Cattle. Wolf MJ; Yin T; Neumann GB; Korkuć P; Brockmann GA; König S; May K Genes (Basel); 2021 Jul; 12(8):. PubMed ID: 34440337 [TBL] [Abstract][Full Text] [Related]
39. Herd clustering strategies and corresponding genetic evaluations based on social-ecological characteristics for a local endangered cattle breed. Herold J; Brügemann K; König S Arch Anim Breed; 2021; 64(1):187-198. PubMed ID: 34109268 [TBL] [Abstract][Full Text] [Related]
40. Genomic predictions for economically important traits in Brazilian Braford and Hereford beef cattle using true and imputed genotypes. Piccoli ML; Brito LF; Braccini J; Cardoso FF; Sargolzaei M; Schenkel FS BMC Genet; 2017 Jan; 18(1):2. PubMed ID: 28100165 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]