These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
117 related articles for article (PubMed ID: 39096598)
1. Impact of truncating historical data on prediction ability of dairy sheep selection candidates. Granado-Tajada I; Ugarte E Animal; 2024 Aug; 18(8):101245. PubMed ID: 39096598 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
6. Assessment of accuracy of genomic prediction for French Lacaune dairy sheep. Baloche G; Legarra A; Sallé G; Larroque H; Astruc JM; Robert-Granié C; Barillet F J Dairy Sci; 2014 Feb; 97(2):1107-16. PubMed ID: 24315320 [TBL] [Abstract][Full Text] [Related]
7. Within- and across-breed genomic predictions and genomic relationships for Western Pyrenees dairy sheep breeds Latxa, Manech, and Basco-Béarnaise. Legarra A; Baloche G; Barillet F; Astruc JM; Soulas C; Aguerre X; Arrese F; Mintegi L; Lasarte M; Maeztu F; Beltrán de Heredia I; Ugarte E J Dairy Sci; 2014 May; 97(5):3200-12. PubMed ID: 24630656 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. Genomic selection of milk fatty acid composition in Sarda dairy sheep: Effect of different phenotypes and relationship matrices on heritability and breeding value accuracy. Cesarani A; Gaspa G; Correddu F; Cellesi M; Dimauro C; Macciotta NPP J Dairy Sci; 2019 Apr; 102(4):3189-3203. PubMed ID: 30799105 [TBL] [Abstract][Full Text] [Related]
10. Differing genetic trend estimates from traditional and genomic evaluations of genotyped animals as evidence of preselection bias in US Holsteins. Masuda Y; VanRaden PM; Misztal I; Lawlor TJ J Dairy Sci; 2018 Jun; 101(6):5194-5206. PubMed ID: 29573806 [TBL] [Abstract][Full Text] [Related]
11. Methods for genomic evaluation of a relatively small genotyped dairy population and effect of genotyped cow information in multiparity analyses. Lourenco DA; Misztal I; Tsuruta S; Aguilar I; Ezra E; Ron M; Shirak A; Weller JI J Dairy Sci; 2014 Mar; 97(3):1742-52. PubMed ID: 24472123 [TBL] [Abstract][Full Text] [Related]
12. Genotyping strategies for maximizing genomic information in evaluations of the Latxa dairy sheep breed. Granado-Tajada I; Varona L; Ugarte E J Dairy Sci; 2021 Jun; 104(6):6861-6872. PubMed ID: 33773777 [TBL] [Abstract][Full Text] [Related]
13. Boundaries for genotype, phenotype, and pedigree truncation in genomic evaluations in pigs. Bussiman F; Chen CY; Holl J; Bermann M; Legarra A; Misztal I; Lourenco D J Anim Sci; 2023 Jan; 101():. PubMed ID: 37584978 [TBL] [Abstract][Full Text] [Related]
14. Validation of single-step genomic predictions using the linear regression method for milk yield and heat tolerance in a Thai-Holstein population. Sungkhapreecha P; Misztal I; Hidalgo J; Lourenco D; Buaban S; Chankitisakul V; Boonkum W Vet World; 2021 Dec; 14(12):3119-3125. PubMed ID: 35153401 [TBL] [Abstract][Full Text] [Related]
15. Including genomic information in the genetic evaluation of production and reproduction traits in South African Merino sheep. Nel C; Gurman P; Swan A; van der Werf J; Snyman M; Dzama K; Olivier W; Scholtz A; Cloete S J Anim Breed Genet; 2024 Jan; 141(1):65-82. PubMed ID: 37787180 [TBL] [Abstract][Full Text] [Related]
16. Exploring the inclusion of genomic information and metafounders in Latxa dairy sheep genetic evaluations. Granado-Tajada I; Legarra A; Ugarte E J Dairy Sci; 2020 Jul; 103(7):6346-6353. PubMed ID: 32359986 [TBL] [Abstract][Full Text] [Related]
17. Accounting for genomic pre-selection in national BLUP evaluations in dairy cattle. Patry C; Ducrocq V Genet Sel Evol; 2011 Aug; 43(1):30. PubMed ID: 21851619 [TBL] [Abstract][Full Text] [Related]
18. Genomic evaluation of Brown Swiss dairy cattle with limited national genotype data and integrated external information. Luštrek B; Vandenplas J; Gorjanc G; Potočnik K J Dairy Sci; 2021 May; 104(5):5738-5754. PubMed ID: 33685705 [TBL] [Abstract][Full Text] [Related]
19. Low-density SNP panel for efficient imputation and genomic selection of milk production and technological traits in dairy sheep. Marina H; Pelayo R; Gutiérrez-Gil B; Suárez-Vega A; Esteban-Blanco C; Reverter A; Arranz JJ J Dairy Sci; 2022 Oct; 105(10):8199-8217. PubMed ID: 36028350 [TBL] [Abstract][Full Text] [Related]
20. Improving the accuracy of genomic evaluation for linear body measurement traits using single-step genomic best linear unbiased prediction in Hanwoo beef cattle. Naserkheil M; Lee DH; Mehrban H BMC Genet; 2020 Dec; 21(1):144. PubMed ID: 33267771 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]