493 related articles for article (PubMed ID: 31495630)
1. Controlling bias in genomic breeding values for young genotyped bulls.
Tsuruta S; Lourenco DAL; Masuda Y; Misztal I; Lawlor TJ
J Dairy Sci; 2019 Nov; 102(11):9956-9970. PubMed ID: 31495630
[TBL] [Abstract][Full Text] [Related]
2. Assigning unknown parent groups to reduce bias in genomic evaluations of final score in US Holsteins.
Tsuruta S; Misztal I; Lourenco DA; Lawlor TJ
J Dairy Sci; 2014 Sep; 97(9):5814-21. PubMed ID: 24997668
[TBL] [Abstract][Full Text] [Related]
3. 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]
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. Application of single-step single nucleotide polymorphism best linear unbiased predictor model with unknown-parent groups for type traits in Japanese Holsteins.
Osawa T; Masuda Y; Saburi J; Hirumachi K
J Dairy Sci; 2023 Jul; 106(7):4847-4859. PubMed ID: 37268563
[TBL] [Abstract][Full Text] [Related]
6. Are evaluations on young genotyped animals benefiting from the past generations?
Lourenco DA; Misztal I; Tsuruta S; Aguilar I; Lawlor TJ; Forni S; Weller JI
J Dairy Sci; 2014; 97(6):3930-42. PubMed ID: 24679931
[TBL] [Abstract][Full Text] [Related]
7. Development of genomic predictions for Angus cattle in Brazil incorporating genotypes from related American sires.
Campos GS; Cardoso FF; Gomes CCG; Domingues R; de Almeida Regitano LC; de Sena Oliveira MC; de Oliveira HN; Carvalheiro R; Albuquerque LG; Miller S; Misztal I; Lourenco D
J Anim Sci; 2022 Feb; 100(2):. PubMed ID: 35031806
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Comparison of genomic predictions for lowly heritable traits using multi-step and single-step genomic best linear unbiased predictor in Holstein cattle.
Guarini AR; Lourenco DAL; Brito LF; Sargolzaei M; Baes CF; Miglior F; Misztal I; Schenkel FS
J Dairy Sci; 2018 Sep; 101(9):8076-8086. PubMed ID: 29935829
[TBL] [Abstract][Full Text] [Related]
10. Genomic prediction ability for beef fatty acid profile in Nelore cattle using different pseudo-phenotypes.
Chiaia HLJ; Peripolli E; de Oliveira Silva RM; Feitosa FLB; de Lemos MVA; Berton MP; Olivieri BF; Espigolan R; Tonussi RL; Gordo DGM; de Albuquerque LG; de Oliveira HN; Ferrinho AM; Mueller LF; Kluska S; Tonhati H; Pereira ASC; Aguilar I; Baldi F
J Appl Genet; 2018 Nov; 59(4):493-501. PubMed ID: 30251238
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Assessing the impact of natural service bulls and genotype by environment interactions on genetic gain and inbreeding in organic dairy cattle genomic breeding programs.
Yin T; Wensch-Dorendorf M; Simianer H; Swalve HH; König S
Animal; 2014 Jun; 8(6):877-86. PubMed ID: 24703184
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Short communication: genomic evaluations of final score for US Holsteins benefit from the inclusion of genotypes on cows.
Tsuruta S; Misztal I; Lawlor TJ
J Dairy Sci; 2013 May; 96(5):3332-5. PubMed ID: 23477821
[TBL] [Abstract][Full Text] [Related]
16. Application of genomic evaluation to dairy cattle in New Zealand.
Winkelman AM; Johnson DL; Harris BL
J Dairy Sci; 2015 Jan; 98(1):659-75. PubMed ID: 25468702
[TBL] [Abstract][Full Text] [Related]
17. Genomic evaluation of a relatively small dairy cattle population by combination with a larger population.
Weller JI; Stoop WM; Eding H; Schrooten C; Ezra E
J Dairy Sci; 2015 Jul; 98(7):4945-55. PubMed ID: 25935250
[TBL] [Abstract][Full Text] [Related]
18. Accuracy of breeding values in small genotyped populations using different sources of external information-A simulation study.
Andonov S; Lourenco DAL; Fragomeni BO; Masuda Y; Pocrnic I; Tsuruta S; Misztal I
J Dairy Sci; 2017 Jan; 100(1):395-401. PubMed ID: 28341049
[TBL] [Abstract][Full Text] [Related]
19. Correcting for base-population differences and unknown parent groups in single-step genomic predictions of Norwegian Red cattle.
Belay TK; Eikje LS; Gjuvsland AB; Nordbø Ø; Tribout T; Meuwissen T
J Anim Sci; 2022 Sep; 100(9):. PubMed ID: 35752161
[TBL] [Abstract][Full Text] [Related]
20. Bias in genomic predictions by mating practices for linear type traits in a large-scale genomic evaluation.
Tsuruta S; Lawlor TJ; Lourenco DAL; Misztal I
J Dairy Sci; 2021 Jan; 104(1):662-677. PubMed ID: 33162076
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
