147 related articles for article (PubMed ID: 19176551)
1. QMSim: a large-scale genome simulator for livestock.
Sargolzaei M; Schenkel FS
Bioinformatics; 2009 Mar; 25(5):680-1. PubMed ID: 19176551
[TBL] [Abstract][Full Text] [Related]
2. Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score.
Aguilar I; Misztal I; Johnson DL; Legarra A; Tsuruta S; Lawlor TJ
J Dairy Sci; 2010 Feb; 93(2):743-52. PubMed ID: 20105546
[TBL] [Abstract][Full Text] [Related]
3. Optimization of breeding program design through stochastic simulation with kernel regression.
Hassanpour A; Geibel J; Simianer H; Pook T
G3 (Bethesda); 2023 Dec; 13(12):. PubMed ID: 37742059
[TBL] [Abstract][Full Text] [Related]
4. deepGBLUP: joint deep learning networks and GBLUP framework for accurate genomic prediction of complex traits in Korean native cattle.
Lee HJ; Lee JH; Gondro C; Koh YJ; Lee SH
Genet Sel Evol; 2023 Jul; 55(1):56. PubMed ID: 37525091
[TBL] [Abstract][Full Text] [Related]
5. The long-term effects of genomic selection: 2. Changes in allele frequencies of causal loci and new mutations.
Wientjes YCJ; Bijma P; van den Heuvel J; Zwaan BJ; Vitezica ZG; Calus MPL
Genetics; 2023 Aug; 225(1):. PubMed ID: 37506255
[TBL] [Abstract][Full Text] [Related]
6. Impact of kinship matrices on genetic gain and inbreeding with optimum contribution selection in a genomic dairy cattle breeding program.
Gautason E; Sahana G; Guldbrandtsen B; Berg P
Genet Sel Evol; 2023 Jul; 55(1):48. PubMed ID: 37460999
[TBL] [Abstract][Full Text] [Related]
7. Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study.
Jang S; Tsuruta S; Leite NG; Misztal I; Lourenco D
Genet Sel Evol; 2023 Jul; 55(1):49. PubMed ID: 37460964
[TBL] [Abstract][Full Text] [Related]
8. A simulation framework for reciprocal recurrent selection-based hybrid breeding under transparent and opaque simulators.
Zhang Z; Wang L
Front Plant Sci; 2023; 14():1174168. PubMed ID: 37441181
[TBL] [Abstract][Full Text] [Related]
9. Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds.
Eiríksson JH; Su G; Strandén I; Christensen OF
Genet Sel Evol; 2023 Jul; 55(1):45. PubMed ID: 37407936
[TBL] [Abstract][Full Text] [Related]
10. An effective hyper-parameter can increase the prediction accuracy in a single-step genetic evaluation.
Neshat M; Lee S; Momin MM; Truong B; van der Werf JHJ; Lee SH
Front Genet; 2023; 14():1104906. PubMed ID: 37359380
[TBL] [Abstract][Full Text] [Related]
11. Genetic gain and inbreeding from simulation of different genomic mating schemes for pig improvement.
Zhao F; Zhang P; Wang X; Akdemir D; Garrick D; He J; Wang L
J Anim Sci Biotechnol; 2023 Jun; 14(1):87. PubMed ID: 37309010
[TBL] [Abstract][Full Text] [Related]
12. SIMplyBee: an R package to simulate honeybee populations and breeding programs.
Obšteter J; Strachan LK; Bubnič J; Prešern J; Gorjanc G
Genet Sel Evol; 2023 May; 55(1):31. PubMed ID: 37161307
[TBL] [Abstract][Full Text] [Related]
13. Selective genotyping to implement genomic selection in beef cattle breeding.
Esrafili Taze Kand Mohammaddiyeh M; Rafat SA; Shodja J; Javanmard A; Esfandyari H
Front Genet; 2023; 14():1083106. PubMed ID: 37007975
[TBL] [Abstract][Full Text] [Related]
14. The impact of genotyping strategies and statistical models on accuracy of genomic prediction for survival in pigs.
Liu T; Nielsen B; Christensen OF; Lund MS; Su G
J Anim Sci Biotechnol; 2023 Jan; 14(1):1. PubMed ID: 36593522
[TBL] [Abstract][Full Text] [Related]
15. Ghat: an R package for identifying adaptive polygenic traits.
Mahmoud M; Tost M; Ha NT; Simianer H; Beissinger T
G3 (Bethesda); 2023 Feb; 13(2):. PubMed ID: 36454082
[TBL] [Abstract][Full Text] [Related]
16. Fuzzy Logic as a Strategy for Combining Marker Statistics to Optimize Preselection of High-Density and Sequence Genotype Data.
Ling A; Hay EH; Aggrey SE; Rekaya R
Genes (Basel); 2022 Nov; 13(11):. PubMed ID: 36421775
[TBL] [Abstract][Full Text] [Related]
17. Optimizing the Construction and Update Strategies for the Genomic Selection of Pig Reference and Candidate Populations in China.
Wei X; Zhang T; Wang L; Zhang L; Hou X; Yan H; Wang L
Front Genet; 2022; 13():938947. PubMed ID: 35754832
[TBL] [Abstract][Full Text] [Related]
18. Improvement of Genomic Predictions in Small Breeds by Construction of Genomic Relationship Matrix Through Variable Selection.
Mancin E; Mota LFM; Tuliozi B; Verdiglione R; Mantovani R; Sartori C
Front Genet; 2022; 13():814264. PubMed ID: 35664297
[TBL] [Abstract][Full Text] [Related]
19. Predictive performances of animal models using different multibreed relationship matrices in systems with rotational crossbreeding.
Poulsen BG; Ostersen T; Nielsen B; Christensen OF
Genet Sel Evol; 2022 Apr; 54(1):25. PubMed ID: 35387581
[TBL] [Abstract][Full Text] [Related]
20. Accuracy of Genomic Selection for Important Economic Traits of Cashmere and Meat Goats Assessed by Simulation Study.
Yan X; Zhang T; Liu L; Yu Y; Yang G; Han Y; Gong G; Wang F; Zhang L; Liu H; Li W; Yan X; Mao H; Li Y; Du C; Li J; Zhang Y; Wang R; Lv Q; Wang Z; Zhang J; Liu Z; Wang Z; Su R
Front Vet Sci; 2022; 9():770539. PubMed ID: 35372544
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]