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.
132 related articles for article (PubMed ID: 17612477)
1. An approximate multitrait model for genetic evaluation in dairy cattle with a robust estimation of genetic trends. Lassen J; Sørensen MK; Madsen P; Ducrocq V Genet Sel Evol; 2007; 39(4):353-67. PubMed ID: 17612477 [TBL] [Abstract][Full Text] [Related]
2. A stochastic simulation study on validation of an approximate multitrait model using preadjusted data for prediction of breeding values. Lassen J; Sørensen MK; Madsen P; Ducrocq V J Dairy Sci; 2007 Jun; 90(6):3002-11. PubMed ID: 17517742 [TBL] [Abstract][Full Text] [Related]
3. A comparison of methods to calculate a total merit index using stochastic simulation. Pfeiffer C; Fuerst-Waltl B; Schwarzenbacher H; Steininger F; Fuerst C Genet Sel Evol; 2015 May; 47(1):36. PubMed ID: 25934497 [TBL] [Abstract][Full Text] [Related]
4. A stochastic simulation study on using different models for prediction of breeding values while changing the breeding goal. Lassen J; Sørensen MK; Madsen P; Ducrocq V Animal; 2007 Jun; 1(5):631-6. PubMed ID: 22444462 [TBL] [Abstract][Full Text] [Related]
5. Validation of an approximate REML algorithm for parameter estimation in a multitrait, multiple across-country evaluation model: a simulation study. Tarrés J; Liu Z; Ducrocq V; Reinhardt F; Reents R J Dairy Sci; 2007 Oct; 90(10):4846-55. PubMed ID: 17881708 [TBL] [Abstract][Full Text] [Related]
6. Sequential estimation of genetic and phenotypic parameters in multitrait mixed model analysis. Lin CY; Lee AJ J Dairy Sci; 1986 Oct; 69(10):2696-703. PubMed ID: 3805450 [TBL] [Abstract][Full Text] [Related]
7. Stochastic dynamic simulation modeling including multitrait genetics to estimate genetic, technical, and financial consequences of dairy farm reproduction and selection strategies. Kaniyamattam K; Elzo MA; Cole JB; De Vries A J Dairy Sci; 2016 Oct; 99(10):8187-8202. PubMed ID: 27497901 [TBL] [Abstract][Full Text] [Related]
9. Improving genetic evaluation using a multitrait single-step genomic model for ability to resume cycling after calving, measured by activity tags in Holstein cows. Ismael A; Løvendahl P; Fogh A; Lund MS; Su G J Dairy Sci; 2017 Oct; 100(10):8188-8196. PubMed ID: 28780110 [TBL] [Abstract][Full Text] [Related]
10. 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]
11. Evaluation of methods for computing approximate accuracies of predicted breeding values in maternal random regression models for growth traits in beef cattle. Sánchez JP; Misztal I; Bertrand JK J Anim Sci; 2008 May; 86(5):1057-66. PubMed ID: 18203980 [TBL] [Abstract][Full Text] [Related]
12. Genetic analysis of the Israeli Holstein dairy cattle population for production and nonproduction traits with a multitrait animal model. Weller JI; Ezra E J Dairy Sci; 2004 May; 87(5):1519-27. PubMed ID: 15291001 [TBL] [Abstract][Full Text] [Related]
13. Accounting for heterogeneous variances in multitrait evaluation of Jersey type traits. Gengler N; Wiggans GR; Thornton LL; Wright JR; Druet T J Dairy Sci; 2006 Aug; 89(8):3143-51. PubMed ID: 16840631 [TBL] [Abstract][Full Text] [Related]
14. Prediction accuracy of direct and indirect approaches, and their relationships with prediction ability of calibration models. Belay TK; Dagnachew BS; Boison SA; Ådnøy T J Dairy Sci; 2018 Jul; 101(7):6174-6189. PubMed ID: 29605329 [TBL] [Abstract][Full Text] [Related]
15. Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traits. Aliloo H; Pryce JE; González-Recio O; Cocks BG; Hayes BJ Genet Sel Evol; 2016 Feb; 48():8. PubMed ID: 26830030 [TBL] [Abstract][Full Text] [Related]
16. Direct multitrait selection realizes the highest genetic response for ratio traits. Zetouni L; Henryon M; Kargo M; Lassen J J Anim Sci; 2017 May; 95(5):1921-1925. PubMed ID: 28726996 [TBL] [Abstract][Full Text] [Related]
17. Evaluation of breeding strategies for polledness in dairy cattle using a newly developed simulation framework for quantitative and Mendelian traits. Scheper C; Wensch-Dorendorf M; Yin T; Dressel H; Swalve H; König S Genet Sel Evol; 2016 Jun; 48(1):50. PubMed ID: 27357942 [TBL] [Abstract][Full Text] [Related]
18. Genetic analysis of persistency in the israeli holstein population by the multitrait animal model. Weller JI; Ezra E; Leitner G J Dairy Sci; 2006 Jul; 89(7):2738-46. PubMed ID: 16772593 [TBL] [Abstract][Full Text] [Related]
19. Genetic parameters for milk production traits and breeding goals for Gir dairy cattle in Brazil. Prata MA; Faro LE; Moreira HL; Verneque RS; Vercesi Filho AE; Peixoto MG; Cardoso VL Genet Mol Res; 2015 Oct; 14(4):12585-94. PubMed ID: 26505409 [TBL] [Abstract][Full Text] [Related]
20. Variance component and breeding value estimation for genetic heterogeneity of residual variance in Swedish Holstein dairy cattle. Rönnegård L; Felleki M; Fikse WF; Mulder HA; Strandberg E J Dairy Sci; 2013 Apr; 96(4):2627-2636. PubMed ID: 23415533 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]