1410 related articles for article (PubMed ID: 25886167)
1. Accounting for trait architecture in genomic predictions of US Holstein cattle using a weighted realized relationship matrix.
Tiezzi F; Maltecca C
Genet Sel Evol; 2015 Apr; 47(1):24. PubMed ID: 25886167
[TBL] [Abstract][Full Text] [Related]
2. Accuracy of whole-genome prediction using a genetic architecture-enhanced variance-covariance matrix.
Zhang Z; Erbe M; He J; Ober U; Gao N; Zhang H; Simianer H; Li J
G3 (Bethesda); 2015 Feb; 5(4):615-27. PubMed ID: 25670771
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels.
Erbe M; Hayes BJ; Matukumalli LK; Goswami S; Bowman PJ; Reich CM; Mason BA; Goddard ME
J Dairy Sci; 2012 Jul; 95(7):4114-29. PubMed ID: 22720968
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Accuracy of prediction of simulated polygenic phenotypes and their underlying quantitative trait loci genotypes using real or imputed whole-genome markers in cattle.
Hassani S; Saatchi M; Fernando RL; Garrick DJ
Genet Sel Evol; 2015 Dec; 47():99. PubMed ID: 26698091
[TBL] [Abstract][Full Text] [Related]
8. Quantitative trait loci markers derived from whole genome sequence data increases the reliability of genomic prediction.
Brøndum RF; Su G; Janss L; Sahana G; Guldbrandtsen B; Boichard D; Lund MS
J Dairy Sci; 2015 Jun; 98(6):4107-16. PubMed ID: 25892697
[TBL] [Abstract][Full Text] [Related]
9. Empirical and deterministic accuracies of across-population genomic prediction.
Wientjes YC; Veerkamp RF; Bijma P; Bovenhuis H; Schrooten C; Calus MP
Genet Sel Evol; 2015 Feb; 47(1):5. PubMed ID: 25885467
[TBL] [Abstract][Full Text] [Related]
10. Predictive performance of genomic selection methods for carcass traits in Hanwoo beef cattle: impacts of the genetic architecture.
Mehrban H; Lee DH; Moradi MH; IlCho C; Naserkheil M; Ibáñez-Escriche N
Genet Sel Evol; 2017 Jan; 49(1):1. PubMed ID: 28093066
[TBL] [Abstract][Full Text] [Related]
11. Using selection index theory to estimate consistency of multi-locus linkage disequilibrium across populations.
Wientjes YC; Veerkamp RF; Calus MP
BMC Genet; 2015 Jul; 16():87. PubMed ID: 26187501
[TBL] [Abstract][Full Text] [Related]
12. Random forest estimation of genomic breeding values for disease susceptibility over different disease incidences and genomic architectures in simulated cow calibration groups.
Naderi S; Yin T; König S
J Dairy Sci; 2016 Sep; 99(9):7261-7273. PubMed ID: 27344385
[TBL] [Abstract][Full Text] [Related]
13. Improved precision of QTL mapping using a nonlinear Bayesian method in a multi-breed population leads to greater accuracy of across-breed genomic predictions.
Kemper KE; Reich CM; Bowman PJ; Vander Jagt CJ; Chamberlain AJ; Mason BA; Hayes BJ; Goddard ME
Genet Sel Evol; 2015 Apr; 47(1):29. PubMed ID: 25887988
[TBL] [Abstract][Full Text] [Related]
14. Genomic prediction of genetic merit using LD-based haplotypes in the Nordic Holstein population.
Cuyabano BC; Su G; Lund MS
BMC Genomics; 2014 Dec; 15(1):1171. PubMed ID: 25539631
[TBL] [Abstract][Full Text] [Related]
15. Using markers with large effect in genetic and genomic predictions.
Lopes MS; Bovenhuis H; van Son M; Nordbø Ø; Grindflek EH; Knol EF; Bastiaansen JW
J Anim Sci; 2017 Jan; 95(1):59-71. PubMed ID: 28177367
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Genomic best linear unbiased prediction method reflecting the degree of linkage disequilibrium.
Nishio M; Satoh M
J Anim Breed Genet; 2015 Oct; 132(5):357-65. PubMed ID: 25866073
[TBL] [Abstract][Full Text] [Related]
18. Including gene networks to predict calving difficulty in Holstein, Brown Swiss and Jersey cattle.
Tiezzi F; Arceo ME; Cole JB; Maltecca C
BMC Genet; 2018 Apr; 19(1):20. PubMed ID: 29609562
[TBL] [Abstract][Full Text] [Related]
19. Genome-wide association and genomic selection in animal breeding.
Hayes B; Goddard M
Genome; 2010 Nov; 53(11):876-83. PubMed ID: 21076503
[TBL] [Abstract][Full Text] [Related]
20. Comparative analysis of the GBLUP, emBayesB, and GWAS algorithms to predict genetic values in large yellow croaker (Larimichthys crocea).
Dong L; Xiao S; Wang Q; Wang Z
BMC Genomics; 2016 Jun; 17():460. PubMed ID: 27301965
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]