115 related articles for article (PubMed ID: 22916948)
1. The impact of genotyping different groups of animals on accuracy when moving from traditional to genomic selection.
Pszczola M; Strabel T; van Arendonk JAM; Calus MPL
J Dairy Sci; 2012 Sep; 95(9):5412-5421. PubMed ID: 22916948
[TBL] [Abstract][Full Text] [Related]
2. Reliability of direct genomic values for animals with different relationships within and to the reference population.
Pszczola M; Strabel T; Mulder HA; Calus MP
J Dairy Sci; 2012 Jan; 95(1):389-400. PubMed ID: 22192218
[TBL] [Abstract][Full Text] [Related]
3. Effect of enlarging the reference population with (un)genotyped animals on the accuracy of genomic selection in dairy cattle.
Pszczola M; Mulder HA; Calus MP
J Dairy Sci; 2011 Jan; 94(1):431-41. PubMed ID: 21183054
[TBL] [Abstract][Full Text] [Related]
4. Genotyping strategies for genomic selection in small dairy cattle populations.
Jiménez-Montero JA; González-Recio O; Alenda R
Animal; 2012 Aug; 6(8):1216-24. PubMed ID: 23217224
[TBL] [Abstract][Full Text] [Related]
5. Genotyping more cows increases genetic gain and reduces rate of true inbreeding in a dairy cattle breeding scheme using female reproductive technologies.
Thomasen JR; Liu H; Sørensen AC
J Dairy Sci; 2020 Jan; 103(1):597-606. PubMed ID: 31733861
[TBL] [Abstract][Full Text] [Related]
6. Predicted accuracy of and response to genomic selection for new traits in dairy cattle.
Calus MP; de Haas Y; Pszczola M; Veerkamp RF
Animal; 2013 Feb; 7(2):183-91. PubMed ID: 23031684
[TBL] [Abstract][Full Text] [Related]
7. The impact of reducing the frequency of animals genotyped at higher density on imputation and prediction accuracies using ssGBLUP1.
Sollero BP; Howard JT; Spangler ML
J Anim Sci; 2019 Jul; 97(7):2780-2792. PubMed ID: 31115442
[TBL] [Abstract][Full Text] [Related]
8. The effect of using cow genomic information on accuracy and bias of genomic breeding values in a simulated Holstein dairy cattle population.
Dehnavi E; Mahyari SA; Schenkel FS; Sargolzaei M
J Dairy Sci; 2018 Jun; 101(6):5166-5176. PubMed ID: 29605309
[TBL] [Abstract][Full Text] [Related]
9. The value of cows in reference populations for genomic selection of new functional traits.
Buch LH; Kargo M; Berg P; Lassen J; Sørensen AC
Animal; 2012 Jun; 6(6):880-6. PubMed ID: 22558957
[TBL] [Abstract][Full Text] [Related]
10. Invited review: Genomic selection in dairy cattle: progress and challenges.
Hayes BJ; Bowman PJ; Chamberlain AJ; Goddard ME
J Dairy Sci; 2009 Feb; 92(2):433-43. PubMed ID: 19164653
[TBL] [Abstract][Full Text] [Related]
11. Application of selection index calculations to determine selection strategies in genomic breeding programs.
König S; Swalve HH
J Dairy Sci; 2009 Oct; 92(10):5292-303. PubMed ID: 19762847
[TBL] [Abstract][Full Text] [Related]
12. The impact of selective genotyping on the response to selection using single-step genomic best linear unbiased prediction.
Howard JT; Rathje TA; Bruns CE; Wilson-Wells DF; Kachman SD; Spangler ML
J Anim Sci; 2018 Nov; 96(11):4532-4542. PubMed ID: 30107560
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Review: Opportunities and challenges for small populations of dairy cattle in the era of genomics.
Schöpke K; Swalve HH
Animal; 2016 Jun; 10(6):1050-60. PubMed ID: 26957010
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Optimal strategies for the use of genomic selection in dairy cattle breeding programs.
Wensch-Dorendorf M; Yin T; Swalve HH; König S
J Dairy Sci; 2011 Aug; 94(8):4140-51. PubMed ID: 21787949
[TBL] [Abstract][Full Text] [Related]
17. Accuracy of predicting genomic breeding values for residual feed intake in Angus and Charolais beef cattle.
Chen L; Schenkel F; Vinsky M; Crews DH; Li C
J Anim Sci; 2013 Oct; 91(10):4669-78. PubMed ID: 24078618
[TBL] [Abstract][Full Text] [Related]
18. Accounting for population structure in selective cow genotyping strategies.
Perez BC; Balieiro JCC; Carvalheiro R; Tirelo F; Oliveira Junior GA; Dementshuk JM; Eler JP; Ferraz JBS; Ventura RV
J Anim Breed Genet; 2019 Jan; 136(1):23-39. PubMed ID: 30565335
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Effect of predictor traits on accuracy of genomic breeding values for feed intake based on a limited cow reference population.
Pszczola M; Veerkamp RF; de Haas Y; Wall E; Strabel T; Calus MP
Animal; 2013 Nov; 7(11):1759-68. PubMed ID: 23915541
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
