103 related articles for article (PubMed ID: 28651561)
1. The effect of mislabeled phenotypic status on the identification of mutation-carriers from SNP genotypes in dairy cattle.
Biffani S; Pausch H; Schwarzenbacher H; Biscarini F
BMC Res Notes; 2017 Jun; 10(1):230. PubMed ID: 28651561
[TBL] [Abstract][Full Text] [Related]
2. Use of SNP genotypes to identify carriers of harmful recessive mutations in cattle populations.
Biscarini F; Schwarzenbacher H; Pausch H; Nicolazzi EL; Pirola Y; Biffani S
BMC Genomics; 2016 Nov; 17(1):857. PubMed ID: 27809787
[TBL] [Abstract][Full Text] [Related]
3. "Noisy beets": impact of phenotyping errors on genomic predictions for binary traits in Beta vulgaris.
Biscarini F; Nazzicari N; Broccanello C; Stevanato P; Marini S
Plant Methods; 2016; 12():36. PubMed ID: 27437026
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Application of neural networks with back-propagation to genome-enabled prediction of complex traits in Holstein-Friesian and German Fleckvieh cattle.
Ehret A; Hochstuhl D; Gianola D; Thaller G
Genet Sel Evol; 2015 Mar; 47(1):22. PubMed ID: 25886037
[TBL] [Abstract][Full Text] [Related]
7. Short communication: relationship of call rate and accuracy of single nucleotide polymorphism genotypes in dairy cattle.
Cooper TA; Wiggans GR; VanRaden PM
J Dairy Sci; 2013 May; 96(5):3336-9. PubMed ID: 23497995
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Predicting haplotype carriers from SNP genotypes in Bos taurus through linear discriminant analysis.
Biffani S; Dimauro C; Macciotta N; Rossoni A; Stella A; Biscarini F
Genet Sel Evol; 2015 Feb; 47(1):4. PubMed ID: 25651874
[TBL] [Abstract][Full Text] [Related]
10. Semi-supervised learning for genomic prediction of novel traits with small reference populations: an application to residual feed intake in dairy cattle.
Yao C; Zhu X; Weigel KA
Genet Sel Evol; 2016 Nov; 48(1):84. PubMed ID: 27821057
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Application of Bayesian least absolute shrinkage and selection operator (LASSO) and BayesCπ methods for genomic selection in French Holstein and Montbéliarde breeds.
Colombani C; Legarra A; Fritz S; Guillaume F; Croiseau P; Ducrocq V; Robert-Granié C
J Dairy Sci; 2013 Jan; 96(1):575-91. PubMed ID: 23127905
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Genomic predictions can accelerate selection for resistance against Piscirickettsia salmonis in Atlantic salmon (Salmo salar).
Bangera R; Correa K; Lhorente JP; Figueroa R; Yáñez JM
BMC Genomics; 2017 Jan; 18(1):121. PubMed ID: 28143402
[TBL] [Abstract][Full Text] [Related]
15. Genome-wide prediction using Bayesian additive regression trees.
Waldmann P
Genet Sel Evol; 2016 Jun; 48(1):42. PubMed ID: 27286957
[TBL] [Abstract][Full Text] [Related]
16. Confirmation of a non-synonymous SNP in PNPLA8 as a candidate causal mutation for Weaver syndrome in Brown Swiss cattle.
Kunz E; Rothammer S; Pausch H; Schwarzenbacher H; Seefried FR; Matiasek K; Seichter D; Russ I; Fries R; Medugorac I
Genet Sel Evol; 2016 Mar; 48():21. PubMed ID: 26992691
[TBL] [Abstract][Full Text] [Related]
17. The genomic evaluation system in the United States: past, present, future.
Wiggans GR; Vanraden PM; Cooper TA
J Dairy Sci; 2011 Jun; 94(6):3202-11. PubMed ID: 21605789
[TBL] [Abstract][Full Text] [Related]
18. Genomic prediction using imputed whole-genome sequence data in Holstein Friesian cattle.
van Binsbergen R; Calus MP; Bink MC; van Eeuwijk FA; Schrooten C; Veerkamp RF
Genet Sel Evol; 2015 Sep; 47(1):71. PubMed ID: 26381777
[TBL] [Abstract][Full Text] [Related]
19. Strategy for the simulation and analysis of longitudinal phenotypic and genomic data in the context of a temperature × humidity-dependent covariate.
Yin T; Pimentel EC; König V Borstel U; König S
J Dairy Sci; 2014; 97(4):2444-54. PubMed ID: 24485687
[TBL] [Abstract][Full Text] [Related]
20. Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traits.
Aliloo H; Pryce JE; González-Recio O; Cocks BG; Hayes BJ
Genet Sel Evol; 2016 Feb; 48():8. PubMed ID: 26830030
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]