300 related articles for article (PubMed ID: 19704013)
1. The accuracy of Genomic Selection in Norwegian red cattle assessed by cross-validation.
Luan T; Woolliams JA; Lien S; Kent M; Svendsen M; Meuwissen TH
Genetics; 2009 Nov; 183(3):1119-26. PubMed ID: 19704013
[TBL] [Abstract][Full Text] [Related]
2. A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers.
Moser G; Tier B; Crump RE; Khatkar MS; Raadsma HW
Genet Sel Evol; 2009 Dec; 41(1):56. PubMed ID: 20043835
[TBL] [Abstract][Full Text] [Related]
3. Use of a Bayesian model including QTL markers increases prediction reliability when test animals are distant from the reference population.
Ma P; Lund MS; Aamand GP; Su G
J Dairy Sci; 2019 Aug; 102(8):7237-7247. PubMed ID: 31155255
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Accuracy of genomic prediction for milk production traits in the Chinese Holstein population using a reference population consisting of cows.
Ding X; Zhang Z; Li X; Wang S; Wu X; Sun D; Yu Y; Liu J; Wang Y; Zhang Y; Zhang S; Zhang Y; Zhang Q
J Dairy Sci; 2013 Aug; 96(8):5315-23. PubMed ID: 23746588
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Predictive ability of selected subsets of single nucleotide polymorphisms (SNPs) in a moderately sized dairy cattle population.
Weller JI; Glick G; Shirak A; Ezra E; Seroussi E; Shemesh M; Zeron Y; Ron M
Animal; 2014 Feb; 8(2):208-16. PubMed ID: 24433958
[TBL] [Abstract][Full Text] [Related]
8. Genomic predictions based on a joint reference population for the Nordic Red cattle breeds.
Zhou L; Heringstad B; Su G; Guldbrandtsen B; Meuwissen TH; Svendsen M; Grove H; Nielsen US; Lund MS
J Dairy Sci; 2014 Jul; 97(7):4485-96. PubMed ID: 24792791
[TBL] [Abstract][Full Text] [Related]
9. Application of multivariate single-step SNP best linear unbiased predictor model and revised SNP list for genomic evaluation of dairy cattle in Australia.
Konstantinov KV; Goddard ME
J Dairy Sci; 2020 Sep; 103(9):8305-8316. PubMed ID: 32622609
[TBL] [Abstract][Full Text] [Related]
10. Accuracy of genomic selection for a sib-evaluated trait using identity-by-state and identity-by-descent relationships.
Vela-Avitúa S; Meuwissen TH; Luan T; Ødegård J
Genet Sel Evol; 2015 Feb; 47(1):9. PubMed ID: 25888184
[TBL] [Abstract][Full Text] [Related]
11. Simultaneous fitting of genomic-BLUP and Bayes-C components in a genomic prediction model.
Iheshiulor OOM; Woolliams JA; Svendsen M; Solberg T; Meuwissen THE
Genet Sel Evol; 2017 Aug; 49(1):63. PubMed ID: 28836944
[TBL] [Abstract][Full Text] [Related]
12. Genome-enabled prediction of meat and carcass traits using Bayesian regression, single-step genomic best linear unbiased prediction and blending methods in Nelore cattle.
Lopes FB; Baldi F; Passafaro TL; Brunes LC; Costa MFO; Eifert EC; Narciso MG; Rosa GJM; Lobo RB; Magnabosco CU
Animal; 2021 Jan; 15(1):100006. PubMed ID: 33516009
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Breeding value estimation for fat percentage using dense markers on Bos taurus autosome 14.
de Roos AP; Schrooten C; Mullaart E; Calus MP; Veerkamp RF
J Dairy Sci; 2007 Oct; 90(10):4821-9. PubMed ID: 17881705
[TBL] [Abstract][Full Text] [Related]
15. Genomic analysis of dominance effects on milk production and conformation traits in Fleckvieh cattle.
Ertl J; Legarra A; Vitezica ZG; Varona L; Edel C; Emmerling R; Götz KU
Genet Sel Evol; 2014 Jun; 46(1):40. PubMed ID: 24962065
[TBL] [Abstract][Full Text] [Related]
16. Effects of number of training generations on genomic prediction for various traits in a layer chicken population.
Weng Z; Wolc A; Shen X; Fernando RL; Dekkers JC; Arango J; Settar P; Fulton JE; O'Sullivan NP; Garrick DJ
Genet Sel Evol; 2016 Mar; 48():22. PubMed ID: 26992471
[TBL] [Abstract][Full Text] [Related]
17. The impact of clustering methods for cross-validation, choice of phenotypes, and genotyping strategies on the accuracy of genomic predictions.
Baller JL; Howard JT; Kachman SD; Spangler ML
J Anim Sci; 2019 Apr; 97(4):1534-1549. PubMed ID: 30721970
[TBL] [Abstract][Full Text] [Related]
18. Comparison of methods for the implementation of genome-assisted evaluation of Spanish dairy cattle.
Jiménez-Montero JA; González-Recio O; Alenda R
J Dairy Sci; 2013 Jan; 96(1):625-34. PubMed ID: 23102955
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. An efficient unified model for genome-wide association studies and genomic selection.
Li H; Su G; Jiang L; Bao Z
Genet Sel Evol; 2017 Aug; 49(1):64. PubMed ID: 28836943
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
