285 related articles for article (PubMed ID: 31826882)
1. Optimizing Low-Cost Genotyping and Imputation Strategies for Genomic Selection in Atlantic Salmon.
Tsairidou S; Hamilton A; Robledo D; Bron JE; Houston RD
G3 (Bethesda); 2020 Feb; 10(2):581-590. PubMed ID: 31826882
[TBL] [Abstract][Full Text] [Related]
2. Genotype Imputation To Improve the Cost-Efficiency of Genomic Selection in Farmed Atlantic Salmon.
Tsai HY; Matika O; Edwards SM; Antolín-Sánchez R; Hamilton A; Guy DR; Tinch AE; Gharbi K; Stear MJ; Taggart JB; Bron JE; Hickey JM; Houston RD
G3 (Bethesda); 2017 Apr; 7(4):1377-1383. PubMed ID: 28250015
[TBL] [Abstract][Full Text] [Related]
3. Genomic predictions can accelerate selection for resistance against Piscirickettsia salmonis in Atlantic salmon (Salmo salar).
Bangera R; Correa K; Lhorente JP; Figueroa R; Yáñez JM
BMC Genomics; 2017 Jan; 18(1):121. PubMed ID: 28143402
[TBL] [Abstract][Full Text] [Related]
4. Genomic prediction of host resistance to sea lice in farmed Atlantic salmon populations.
Tsai HY; Hamilton A; Tinch AE; Guy DR; Bron JE; Taggart JB; Gharbi K; Stear M; Matika O; Pong-Wong R; Bishop SC; Houston RD
Genet Sel Evol; 2016 Jun; 48(1):47. PubMed ID: 27357694
[TBL] [Abstract][Full Text] [Related]
5. Genome wide association and genomic prediction for growth traits in juvenile farmed Atlantic salmon using a high density SNP array.
Tsai HY; Hamilton A; Tinch AE; Guy DR; Gharbi K; Stear MJ; Matika O; Bishop SC; Houston RD
BMC Genomics; 2015 Nov; 16():969. PubMed ID: 26582102
[TBL] [Abstract][Full Text] [Related]
6. Evaluation of low-density SNP panels and imputation for cost-effective genomic selection in four aquaculture species.
Kriaridou C; Tsairidou S; Fraslin C; Gorjanc G; Looseley ME; Johnston IA; Houston RD; Robledo D
Front Genet; 2023; 14():1194266. PubMed ID: 37252666
[TBL] [Abstract][Full Text] [Related]
7. Genome-Wide Association Study and Cost-Efficient Genomic Predictions for Growth and Fillet Yield in Nile Tilapia (
Yoshida GM; Lhorente JP; Correa K; Soto J; Salas D; Yáñez JM
G3 (Bethesda); 2019 Aug; 9(8):2597-2607. PubMed ID: 31171566
[TBL] [Abstract][Full Text] [Related]
8. Practical implementation of cost-effective genomic selection in commercial pig breeding using imputation.
Cleveland MA; Hickey JM
J Anim Sci; 2013 Aug; 91(8):3583-92. PubMed ID: 23736050
[TBL] [Abstract][Full Text] [Related]
9. Multi-generational imputation of single nucleotide polymorphism marker genotypes and accuracy of genomic selection.
Toghiani S; Aggrey SE; Rekaya R
Animal; 2016 Jul; 10(7):1077-85. PubMed ID: 27076192
[TBL] [Abstract][Full Text] [Related]
10. Genomic selection using low density marker panels with application to a sire line in pigs.
Wellmann R; Preuß S; Tholen E; Heinkel J; Wimmers K; Bennewitz J
Genet Sel Evol; 2013 Jul; 45(1):28. PubMed ID: 23895218
[TBL] [Abstract][Full Text] [Related]
11. Genomic Prediction Using Low Density Marker Panels in Aquaculture: Performance Across Species, Traits, and Genotyping Platforms.
Kriaridou C; Tsairidou S; Houston RD; Robledo D
Front Genet; 2020; 11():124. PubMed ID: 32174974
[TBL] [Abstract][Full Text] [Related]
12. Genotype imputation from various low-density SNP panels and its impact on accuracy of genomic breeding values in pigs.
Grossi DA; Brito LF; Jafarikia M; Schenkel FS; Feng Z
Animal; 2018 Nov; 12(11):2235-2245. PubMed ID: 29706144
[TBL] [Abstract][Full Text] [Related]
13. Genotype Imputation to Improve the Cost-Efficiency of Genomic Selection in Rabbits.
Mancin E; Sosa-Madrid BS; Blasco A; Ibáñez-Escriche N
Animals (Basel); 2021 Mar; 11(3):. PubMed ID: 33805619
[TBL] [Abstract][Full Text] [Related]
14. The impact of reducing the frequency of animals genotyped at higher density on imputation and prediction accuracies using ssGBLUP1.
Sollero BP; Howard JT; Spangler ML
J Anim Sci; 2019 Jul; 97(7):2780-2792. PubMed ID: 31115442
[TBL] [Abstract][Full Text] [Related]
15. Use of whole-genome sequence data for fine mapping and genomic prediction of sea louse resistance in Atlantic salmon.
Onabanjo O; Meuwissen T; Aslam ML; Schmitt AO; Dagnachew B
Front Genet; 2024; 15():1381333. PubMed ID: 38706794
[TBL] [Abstract][Full Text] [Related]
16. The use of genomic information increases the accuracy of breeding value predictions for sea louse (Caligus rogercresseyi) resistance in Atlantic salmon (Salmo salar).
Correa K; Bangera R; Figueroa R; Lhorente JP; Yáñez JM
Genet Sel Evol; 2017 Jan; 49(1):15. PubMed ID: 28143593
[TBL] [Abstract][Full Text] [Related]
17. Diversity and linkage disequilibrium in farmed Tasmanian Atlantic salmon.
Kijas J; Elliot N; Kube P; Evans B; Botwright N; King H; Primmer CR; Verbyla K
Anim Genet; 2017 Apr; 48(2):237-241. PubMed ID: 27699807
[TBL] [Abstract][Full Text] [Related]
18. Potential of low-density genotype imputation for cost-efficient genomic selection for resistance to Flavobacterium columnare in rainbow trout (Oncorhynchus mykiss).
Fraslin C; Robledo D; Kause A; Houston RD
Genet Sel Evol; 2023 Aug; 55(1):59. PubMed ID: 37580697
[TBL] [Abstract][Full Text] [Related]
19. Accuracy of genotype imputation in sheep breeds.
Hayes BJ; Bowman PJ; Daetwyler HD; Kijas JW; van der Werf JH
Anim Genet; 2012 Feb; 43(1):72-80. PubMed ID: 22221027
[TBL] [Abstract][Full Text] [Related]
20. Genome-Wide Association and Genomic Selection for Resistance to Amoebic Gill Disease in Atlantic Salmon.
Robledo D; Matika O; Hamilton A; Houston RD
G3 (Bethesda); 2018 Mar; 8(4):1195-1203. PubMed ID: 29420190
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
