266 related articles for article (PubMed ID: 29373745)
21. Genomic predictions in purebreds with a multibreed genomic relationship matrix1.
Steyn Y; Lourenco DAL; Misztal I
J Anim Sci; 2019 Nov; 97(11):4418-4427. PubMed ID: 31539424
[TBL] [Abstract][Full Text] [Related]
22. Accuracy of Igenity genomically estimated breeding values for predicting Australian Angus BREEDPLAN traits.
Boerner V; Johnston D; Wu XL; Bauck S
J Anim Sci; 2015 Feb; 93(2):513-21. PubMed ID: 25549982
[TBL] [Abstract][Full Text] [Related]
23. Genome-wide mapping of the dominance effects based on breed ancestry for semen traits in admixed Swiss Fleckvieh bulls.
Khayatzadeh N; Mészáros G; Utsunomiya YT; Schmitz-Hsu F; Seefried F; Schnyder U; Ferenčaković M; Garcia JF; Curik I; Sölkner J
J Dairy Sci; 2019 Dec; 102(12):11217-11224. PubMed ID: 31548062
[TBL] [Abstract][Full Text] [Related]
24. Synthesis of direct and maternal genetic components of economically important traits from beef breed-cross evaluations.
Roughsedge T; Thompson R; Villanueva B; Simm G
J Anim Sci; 2001 Sep; 79(9):2307-19. PubMed ID: 11583417
[TBL] [Abstract][Full Text] [Related]
25. Genomic predictions for crossbred dairy cattle.
VanRaden PM; Tooker ME; Chud TCS; Norman HD; Megonigal JH; Haagen IW; Wiggans GR
J Dairy Sci; 2020 Feb; 103(2):1620-1631. PubMed ID: 31837783
[TBL] [Abstract][Full Text] [Related]
26. Genomic prediction of simulated multibreed and purebred performance using observed fifty thousand single nucleotide polymorphism genotypes.
Kizilkaya K; Fernando RL; Garrick DJ
J Anim Sci; 2010 Feb; 88(2):544-51. PubMed ID: 19820059
[TBL] [Abstract][Full Text] [Related]
27. Genomic prediction of breeding values for carcass traits in Nellore cattle.
Fernandes Júnior GA; Rosa GJ; Valente BD; Carvalheiro R; Baldi F; Garcia DA; Gordo DG; Espigolan R; Takada L; Tonussi RL; de Andrade WB; Magalhães AF; Chardulo LA; Tonhati H; de Albuquerque LG
Genet Sel Evol; 2016 Jan; 48():7. PubMed ID: 26830208
[TBL] [Abstract][Full Text] [Related]
28. Accuracy of prediction of genomic breeding values for residual feed intake and carcass and meat quality traits in Bos taurus, Bos indicus, and composite beef cattle.
Bolormaa S; Pryce JE; Kemper K; Savin K; Hayes BJ; Barendse W; Zhang Y; Reich CM; Mason BA; Bunch RJ; Harrison BE; Reverter A; Herd RM; Tier B; Graser HU; Goddard ME
J Anim Sci; 2013 Jul; 91(7):3088-104. PubMed ID: 23658330
[TBL] [Abstract][Full Text] [Related]
29. The impact of training strategies on the accuracy of genomic predictors in United States Red Angus cattle.
Lee J; Kachman SD; Spangler ML
J Anim Sci; 2017 Aug; 95(8):3406-3414. PubMed ID: 28805929
[TBL] [Abstract][Full Text] [Related]
30. CRUMBLER: A tool for the prediction of ancestry in cattle.
Crum TE; Schnabel RD; Decker JE; Regitano LCA; Taylor JF
PLoS One; 2019; 14(8):e0221471. PubMed ID: 31449539
[TBL] [Abstract][Full Text] [Related]
31. Predicting heterosis for egg production traits in crossbred offspring of individual White Leghorn sires using genome-wide SNP data.
Amuzu-Aweh EN; Bovenhuis H; de Koning DJ; Bijma P
Genet Sel Evol; 2015 Apr; 47(1):27. PubMed ID: 25888417
[TBL] [Abstract][Full Text] [Related]
32. Genome-wide association and pathway analysis of carcass and meat quality traits in Piemontese young bulls.
Pegolo S; Cecchinato A; Savoia S; Di Stasio L; Pauciullo A; Brugiapaglia A; Bittante G; Albera A
Animal; 2020 Feb; 14(2):243-252. PubMed ID: 31414654
[TBL] [Abstract][Full Text] [Related]
33. Improving accuracy of genomic prediction in Brangus cattle by adding animals with imputed low-density SNP genotypes.
Lopes FB; Wu XL; Li H; Xu J; Perkins T; Genho J; Ferretti R; Tait RG; Bauck S; Rosa GJM
J Anim Breed Genet; 2018 Feb; 135(1):14-27. PubMed ID: 29345073
[TBL] [Abstract][Full Text] [Related]
34. Comparing genomic prediction accuracy from purebred, crossbred and combined purebred and crossbred reference populations in sheep.
Moghaddar N; Swan AA; van der Werf JH
Genet Sel Evol; 2014 Sep; 46(1):58. PubMed ID: 25927315
[TBL] [Abstract][Full Text] [Related]
35. Accuracy of direct genomic values derived from imputed single nucleotide polymorphism genotypes in Jersey cattle.
Weigel KA; de Los Campos G; Vazquez AI; Rosa GJ; Gianola D; Van Tassell CP
J Dairy Sci; 2010 Nov; 93(11):5423-35. PubMed ID: 20965358
[TBL] [Abstract][Full Text] [Related]
36. Accuracy of predicting genomic breeding values for carcass merit traits in Angus and Charolais beef cattle.
Chen L; Vinsky M; Li C
Anim Genet; 2015 Feb; 46(1):55-9. PubMed ID: 25393962
[TBL] [Abstract][Full Text] [Related]
37. Use of principal component approach to predict direct genomic breeding values for beef traits in Italian Simmental cattle.
Gaspa G; Pintus MA; Nicolazzi EL; Vicario D; Valentini A; Dimauro C; Macciotta NP
J Anim Sci; 2013 Jan; 91(1):29-37. PubMed ID: 23100576
[TBL] [Abstract][Full Text] [Related]
38. Non-additive genetic variation in growth, carcass and fertility traits of beef cattle.
Bolormaa S; Pryce JE; Zhang Y; Reverter A; Barendse W; Hayes BJ; Goddard ME
Genet Sel Evol; 2015 Apr; 47(1):26. PubMed ID: 25880217
[TBL] [Abstract][Full Text] [Related]
39. Multibreed genomic evaluations using purebred Holsteins, Jerseys, and Brown Swiss.
Olson KM; VanRaden PM; Tooker ME
J Dairy Sci; 2012 Sep; 95(9):5378-5383. PubMed ID: 22916944
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]
