161 related articles for article (PubMed ID: 36932324)
1. Genomic evaluation for two-way crossbred performance in cattle.
Mei Q; Liu H; Zhao S; Xiang T; Christensen OF
Genet Sel Evol; 2023 Mar; 55(1):17. PubMed ID: 36932324
[TBL] [Abstract][Full Text] [Related]
2. Single-step genomic evaluation with metafounders for feed conversion ratio and average daily gain in Danish Landrace and Yorkshire pigs.
Fu C; Ostersen T; Christensen OF; Xiang T
Genet Sel Evol; 2021 Oct; 53(1):79. PubMed ID: 34620083
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Genomic evaluation for a three-way crossbreeding system considering breed-of-origin of alleles.
Sevillano CA; Vandenplas J; Bastiaansen JWM; Bergsma R; Calus MPL
Genet Sel Evol; 2017 Oct; 49(1):75. PubMed ID: 29061123
[TBL] [Abstract][Full Text] [Related]
5. 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]
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. A breed-of-origin of alleles model that includes crossbred data improves predictive ability for crossbred animals in a multi-breed population.
Guillenea A; Lund MS; Evans R; Boerner V; Karaman E
Genet Sel Evol; 2023 May; 55(1):34. PubMed ID: 37189059
[TBL] [Abstract][Full Text] [Related]
8. Multibreed genomic evaluation for production traits of dairy cattle in the United States using single-step genomic best linear unbiased predictor.
Cesarani A; Lourenco D; Tsuruta S; Legarra A; Nicolazzi EL; VanRaden PM; Misztal I
J Dairy Sci; 2022 Jun; 105(6):5141-5152. PubMed ID: 35282922
[TBL] [Abstract][Full Text] [Related]
9. Assessment of the genomic prediction accuracy for feed efficiency traits in meat-type chickens.
Liu T; Luo C; Wang J; Ma J; Shu D; Lund MS; Su G; Qu H
PLoS One; 2017; 12(3):e0173620. PubMed ID: 28278209
[TBL] [Abstract][Full Text] [Related]
10. A bivariate genomic model with additive, dominance and inbreeding depression effects for sire line and three-way crossbred pigs.
Christensen OF; Nielsen B; Su G; Xiang T; Madsen P; Ostersen T; Velander I; Strathe AB
Genet Sel Evol; 2019 Aug; 51(1):45. PubMed ID: 31426753
[TBL] [Abstract][Full Text] [Related]
11. Detecting effective starting point of genomic selection by divergent trends from best linear unbiased prediction and single-step genomic best linear unbiased prediction in pigs, beef cattle, and broilers.
Abdollahi-Arpanahi R; Lourenco D; Misztal I
J Anim Sci; 2021 Sep; 99(9):. PubMed ID: 34390341
[TBL] [Abstract][Full Text] [Related]
12. Comparison of conventional BLUP and single-step genomic BLUP evaluations for yearling weight and carcass traits in Hanwoo beef cattle using single trait and multi-trait models.
Mehrban H; Lee DH; Naserkheil M; Moradi MH; Ibáñez-Escriche N
PLoS One; 2019; 14(10):e0223352. PubMed ID: 31609979
[TBL] [Abstract][Full Text] [Related]
13. Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus.
Lourenco DA; Tsuruta S; Fragomeni BO; Masuda Y; Aguilar I; Legarra A; Bertrand JK; Amen TS; Wang L; Moser DW; Misztal I
J Anim Sci; 2015 Jun; 93(6):2653-62. PubMed ID: 26115253
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Evaluation of Genome-Enabled Prediction for Carcass Primal Cut Yields Using Single-Step Genomic Best Linear Unbiased Prediction in Hanwoo Cattle.
Naserkheil M; Mehrban H; Lee D; Park MN
Genes (Basel); 2021 Nov; 12(12):. PubMed ID: 34946834
[TBL] [Abstract][Full Text] [Related]
16. Crossbreed evaluations in single-step genomic best linear unbiased predictor using adjusted realized relationship matrices.
Lourenco DA; Tsuruta S; Fragomeni BO; Chen CY; Herring WO; Misztal I
J Anim Sci; 2016 Mar; 94(3):909-19. PubMed ID: 27065253
[TBL] [Abstract][Full Text] [Related]
17. Accuracy of genomic predictions for feed efficiency traits of beef cattle using 50K and imputed HD genotypes.
Lu D; Akanno EC; Crowley JJ; Schenkel F; Li H; De Pauw M; Moore SS; Wang Z; Li C; Stothard P; Plastow G; Miller SP; Basarab JA
J Anim Sci; 2016 Apr; 94(4):1342-53. PubMed ID: 27135994
[TBL] [Abstract][Full Text] [Related]
18. Genomic predictions for crossbred dairy cattle.
VanRaden PM; Tooker ME; Chud TCS; Norman HD; Megonigal JH; Haagen IW; Wiggans GR
J Dairy Sci; 2020 Feb; 103(2):1620-1631. PubMed ID: 31837783
[TBL] [Abstract][Full Text] [Related]
19. Accuracies of genomic prediction of feed efficiency traits using different prediction and validation methods in an experimental Nelore cattle population.
Silva RM; Fragomeni BO; Lourenco DA; Magalhães AF; Irano N; Carvalheiro R; Canesin RC; Mercadante ME; Boligon AA; Baldi FS; Misztal I; Albuquerque LG
J Anim Sci; 2016 Sep; 94(9):3613-3623. PubMed ID: 27898889
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]