227 related articles for article (PubMed ID: 32174974)
1. 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]
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. Prediction Accuracies of Genomic Selection for Nine Commercially Important Traits in the Portuguese Oyster (
Vu SV; Gondro C; Nguyen NTH; Gilmour AR; Tearle R; Knibb W; Dove M; Vu IV; Khuong LD; O'Connor W
Genes (Basel); 2021 Feb; 12(2):. PubMed ID: 33535381
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Accuracy of genomic selection for a sib-evaluated trait using identity-by-state and identity-by-descent relationships.
Vela-Avitúa S; Meuwissen TH; Luan T; Ødegård J
Genet Sel Evol; 2015 Feb; 47(1):9. PubMed ID: 25888184
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Strategies to improve the accuracy and reduce costs of genomic prediction in aquaculture species.
Song H; Hu H
Evol Appl; 2022 Apr; 15(4):578-590. PubMed ID: 35505889
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Genomic Selection for Growth Traits in Pacific Oyster (
Gutierrez AP; Matika O; Bean TP; Houston RD
Front Genet; 2018; 9():391. PubMed ID: 30283494
[TBL] [Abstract][Full Text] [Related]
11. Genome-Wide Association and Genomic Prediction of Growth Traits in the European Flat Oyster (
Peñaloza C; Barria A; Papadopoulou A; Hooper C; Preston J; Green M; Helmer L; Kean-Hammerson J; Nascimento-Schulze JC; Minardi D; Gundappa MK; Macqueen DJ; Hamilton J; Houston RD; Bean TP
Front Genet; 2022; 13():926638. PubMed ID: 35983410
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. The feasibility of using low-density marker panels for genotype imputation and genomic prediction of crossbred dairy cattle of East Africa.
Aliloo H; Mrode R; Okeyo AM; Ni G; Goddard ME; Gibson JP
J Dairy Sci; 2018 Oct; 101(10):9108-9127. PubMed ID: 30077450
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. A low-marker density implementation of genomic selection in aquaculture using within-family genomic breeding values.
Lillehammer M; Meuwissen TH; Sonesson AK
Genet Sel Evol; 2013 Oct; 45(1):39. PubMed ID: 24127852
[TBL] [Abstract][Full Text] [Related]
16. Design of a low-density SNP chip for the main Australian sheep breeds and its effect on imputation and genomic prediction accuracy.
Bolormaa S; Gore K; van der Werf JH; Hayes BJ; Daetwyler HD
Anim Genet; 2015 Oct; 46(5):544-56. PubMed ID: 26360638
[TBL] [Abstract][Full Text] [Related]
17. Genome-wide association study and prediction of genomic breeding values for fatty-acid composition in Korean Hanwoo cattle using a high-density single-nucleotide polymorphism array.
Bhuiyan MSA; Kim YK; Kim HJ; Lee DH; Lee SH; Yoon HB; Lee SH
J Anim Sci; 2018 Sep; 96(10):4063-4075. PubMed ID: 30265318
[TBL] [Abstract][Full Text] [Related]
18. Genomic predictions for economically important traits in Brazilian Braford and Hereford beef cattle using true and imputed genotypes.
Piccoli ML; Brito LF; Braccini J; Cardoso FF; Sargolzaei M; Schenkel FS
BMC Genet; 2017 Jan; 18(1):2. PubMed ID: 28100165
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Impact of Marker Pruning Strategies Based on Different Measurements of Marker Distance on Genomic Prediction in Dairy Cattle.
Ren D; Teng J; Diao S; Lin Q; Li J; Zhang Z
Animals (Basel); 2021 Jul; 11(7):. PubMed ID: 34359120
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]