157 related articles for article (PubMed ID: 36690938)
1. Reliabilities of estimated breeding values in models with metafounders.
Bermann M; Aguilar I; Lourenco D; Misztal I; Legarra A
Genet Sel Evol; 2023 Jan; 55(1):6. PubMed ID: 36690938
[TBL] [Abstract][Full Text] [Related]
2. Efficient approximation of reliabilities for single-step genomic best linear unbiased predictor models with the Algorithm for Proven and Young.
Bermann M; Lourenco D; Misztal I
J Anim Sci; 2022 Jan; 100(1):. PubMed ID: 34877603
[TBL] [Abstract][Full Text] [Related]
3. Metafounders are related to F
Garcia-Baccino CA; Legarra A; Christensen OF; Misztal I; Pocrnic I; Vitezica ZG; Cantet RJ
Genet Sel Evol; 2017 Mar; 49(1):34. PubMed ID: 28283016
[TBL] [Abstract][Full Text] [Related]
4. Invited review: Unknown-parent groups and metafounders in single-step genomic BLUP.
Masuda Y; VanRaden PM; Tsuruta S; Lourenco DAL; Misztal I
J Dairy Sci; 2022 Feb; 105(2):923-939. PubMed ID: 34799109
[TBL] [Abstract][Full Text] [Related]
5. Breeding value reliabilities for multiple-trait single-step genomic best linear unbiased predictor.
Ben Zaabza H; Taskinen M; Mäntysaari EA; Pitkänen T; Aamand GP; Strandén I
J Dairy Sci; 2022 Jun; 105(6):5221-5237. PubMed ID: 35400498
[TBL] [Abstract][Full Text] [Related]
6. Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups.
Macedo FL; Christensen OF; Astruc JM; Aguilar I; Masuda Y; Legarra A
Genet Sel Evol; 2020 Aug; 52(1):47. PubMed ID: 32787772
[TBL] [Abstract][Full Text] [Related]
7. Metafounders May Reduce Bias in Composite Cattle Genomic Predictions.
Kluska S; Masuda Y; Ferraz JBS; Tsuruta S; Eler JP; Baldi F; Lourenco D
Front Genet; 2021; 12():678587. PubMed ID: 34490031
[TBL] [Abstract][Full Text] [Related]
8. Applying the Metafounders Approach for Genomic Evaluation in a Multibreed Beef Cattle Population.
Junqueira VS; Lopes PS; Lourenco D; Silva FFE; Cardoso FF
Front Genet; 2020; 11():556399. PubMed ID: 33424914
[TBL] [Abstract][Full Text] [Related]
9. Removing data and using metafounders alleviates biases for all traits in Lacaune dairy sheep predictions.
Macedo FL; Astruc JM; Meuwissen THE; Legarra A
J Dairy Sci; 2022 Mar; 105(3):2439-2452. PubMed ID: 35033343
[TBL] [Abstract][Full Text] [Related]
10. Estimating genomic relationships of metafounders across and within breeds using maximum likelihood, pseudo-expectation-maximization maximum likelihood and increase of relationships.
Legarra A; Bermann M; Mei Q; Christensen OF
Genet Sel Evol; 2024 May; 56(1):35. PubMed ID: 38698347
[TBL] [Abstract][Full Text] [Related]
11. Alternative SNP weighting for single-step genomic best linear unbiased predictor evaluation of stature in US Holsteins in the presence of selected sequence variants.
Fragomeni BO; Lourenco DAL; Legarra A; VanRaden PM; Misztal I
J Dairy Sci; 2019 Nov; 102(11):10012-10019. PubMed ID: 31495612
[TBL] [Abstract][Full Text] [Related]
12. Genomic prediction of breeding values using previously estimated SNP variances.
Calus MP; Schrooten C; Veerkamp RF
Genet Sel Evol; 2014 Sep; 46(1):52. PubMed ID: 25928875
[TBL] [Abstract][Full Text] [Related]
13. Short communication: Calculating analytical reliabilities for single-step predictions.
Edel C; Pimentel ECG; Erbe M; Emmerling R; Götz KU
J Dairy Sci; 2019 Apr; 102(4):3259-3265. PubMed ID: 30738687
[TBL] [Abstract][Full Text] [Related]
14. Modeling missing pedigree in single-step genomic BLUP.
Bradford HL; Masuda Y; VanRaden PM; Legarra A; Misztal I
J Dairy Sci; 2019 Mar; 102(3):2336-2346. PubMed ID: 30638995
[TBL] [Abstract][Full Text] [Related]
15. Genomic predictions for yield traits in US Holsteins with unknown parent groups.
Cesarani A; Masuda Y; Tsuruta S; Nicolazzi EL; VanRaden PM; Lourenco D; Misztal I
J Dairy Sci; 2021 May; 104(5):5843-5853. PubMed ID: 33663836
[TBL] [Abstract][Full Text] [Related]
16. Accounting for population structure in genomic predictions of Eucalyptus globulus.
Callister AN; Bermann M; Elms S; Bradshaw BP; Lourenco D; Brawner JT
G3 (Bethesda); 2022 Aug; 12(9):. PubMed ID: 35920792
[TBL] [Abstract][Full Text] [Related]
17. Modeling missing pedigree with metafounders and validating single-step genomic predictions in a small dairy cattle population with a great influence of foreign genetics.
López-Correa RD; Legarra A; Aguilar I
J Dairy Sci; 2024 Jul; 107(7):4685-4692. PubMed ID: 38310956
[TBL] [Abstract][Full Text] [Related]
18. Metafounder approach for single-step genomic evaluations of Red Dairy cattle.
Kudinov AA; Mäntysaari EA; Aamand GP; Uimari P; Strandén I
J Dairy Sci; 2020 Jul; 103(7):6299-6310. PubMed ID: 32418688
[TBL] [Abstract][Full Text] [Related]
19. Technical note: Genomic evaluation for crossbred performance in a single-step approach with metafounders.
Xiang T; Christensen OF; Legarra A
J Anim Sci; 2017 Apr; 95(4):1472-1480. PubMed ID: 28464109
[TBL] [Abstract][Full Text] [Related]
20. Application of single-step genomic evaluation using multiple-trait random regression test-day models in dairy cattle.
Oliveira HR; Lourenco DAL; Masuda Y; Misztal I; Tsuruta S; Jamrozik J; Brito LF; Silva FF; Schenkel FS
J Dairy Sci; 2019 Mar; 102(3):2365-2377. PubMed ID: 30638992
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
