160 related articles for article (PubMed ID: 33733353)
1. Phenotype Prediction Under Epistasis.
Vojgani E; Pook T; Simianer H
Methods Mol Biol; 2021; 2212():105-120. PubMed ID: 33733353
[TBL] [Abstract][Full Text] [Related]
2. Accounting for epistasis improves genomic prediction of phenotypes with univariate and bivariate models across environments.
Vojgani E; Pook T; Martini JWR; Hölker AC; Mayer M; Schön CC; Simianer H
Theor Appl Genet; 2021 Sep; 134(9):2913-2930. PubMed ID: 34115154
[TBL] [Abstract][Full Text] [Related]
3. Genomic prediction using information across years with epistatic models and dimension reduction via haplotype blocks.
Vojgani E; Hölker AC; Mayer M; Schön CC; Simianer H; Pook T
PLoS One; 2023; 18(3):e0282288. PubMed ID: 37000811
[TBL] [Abstract][Full Text] [Related]
4. Modeling Epistasis in Genomic Selection.
Jiang Y; Reif JC
Genetics; 2015 Oct; 201(2):759-68. PubMed ID: 26219298
[TBL] [Abstract][Full Text] [Related]
5. Protocol for Construction of Genome-Wide Epistatic SNP Networks Using WISH-R Package.
Kadarmideen HN; Carmelo VAO
Methods Mol Biol; 2021; 2212():155-168. PubMed ID: 33733355
[TBL] [Abstract][Full Text] [Related]
6. Using markers with large effect in genetic and genomic predictions.
Lopes MS; Bovenhuis H; van Son M; Nordbø Ø; Grindflek EH; Knol EF; Bastiaansen JW
J Anim Sci; 2017 Jan; 95(1):59-71. PubMed ID: 28177367
[TBL] [Abstract][Full Text] [Related]
7. Parametric and nonparametric statistical methods for genomic selection of traits with additive and epistatic genetic architectures.
Howard R; Carriquiry AL; Beavis WD
G3 (Bethesda); 2014 Apr; 4(6):1027-46. PubMed ID: 24727289
[TBL] [Abstract][Full Text] [Related]
8. Use of multiple traits genomic prediction, genotype by environment interactions and spatial effect to improve prediction accuracy in yield data.
Tsai HY; Cericola F; Edriss V; Andersen JR; Orabi J; Jensen JD; Jahoor A; Janss L; Jensen J
PLoS One; 2020; 15(5):e0232665. PubMed ID: 32401769
[TBL] [Abstract][Full Text] [Related]
9. Effect of genetic architecture on the prediction accuracy of quantitative traits in samples of unrelated individuals.
Morgante F; Huang W; Maltecca C; Mackay TFC
Heredity (Edinb); 2018 Jun; 120(6):500-514. PubMed ID: 29426878
[TBL] [Abstract][Full Text] [Related]
10. Genomic Prediction and Genome-Wide Association Studies of Flour Yield and Alveograph Quality Traits Using Advanced Winter Wheat Breeding Material.
Kristensen PS; Jensen J; Andersen JR; Guzmán C; Orabi J; Jahoor A
Genes (Basel); 2019 Aug; 10(9):. PubMed ID: 31480460
[TBL] [Abstract][Full Text] [Related]
11. Bridging the gap between marker-assisted and genomic selection of heading time and plant height in hybrid wheat.
Zhao Y; Mette MF; Gowda M; Longin CF; Reif JC
Heredity (Edinb); 2014 Jun; 112(6):638-45. PubMed ID: 24518889
[TBL] [Abstract][Full Text] [Related]
12. Genome-wide prediction using Bayesian additive regression trees.
Waldmann P
Genet Sel Evol; 2016 Jun; 48(1):42. PubMed ID: 27286957
[TBL] [Abstract][Full Text] [Related]
13. Using imputation-based whole-genome sequencing data to improve the accuracy of genomic prediction for combined populations in pigs.
Song H; Ye S; Jiang Y; Zhang Z; Zhang Q; Ding X
Genet Sel Evol; 2019 Oct; 51(1):58. PubMed ID: 31638889
[TBL] [Abstract][Full Text] [Related]
14. International bull evaluations by genomic BLUP with a prediction population.
Fragomeni B; Masuda Y; Bradford HL; Lourenco DAL; Misztal I
J Dairy Sci; 2019 Mar; 102(3):2330-2335. PubMed ID: 30639016
[TBL] [Abstract][Full Text] [Related]
15. Random forest estimation of genomic breeding values for disease susceptibility over different disease incidences and genomic architectures in simulated cow calibration groups.
Naderi S; Yin T; König S
J Dairy Sci; 2016 Sep; 99(9):7261-7273. PubMed ID: 27344385
[TBL] [Abstract][Full Text] [Related]
16. Genomic prediction ability for beef fatty acid profile in Nelore cattle using different pseudo-phenotypes.
Chiaia HLJ; Peripolli E; de Oliveira Silva RM; Feitosa FLB; de Lemos MVA; Berton MP; Olivieri BF; Espigolan R; Tonussi RL; Gordo DGM; de Albuquerque LG; de Oliveira HN; Ferrinho AM; Mueller LF; Kluska S; Tonhati H; Pereira ASC; Aguilar I; Baldi F
J Appl Genet; 2018 Nov; 59(4):493-501. PubMed ID: 30251238
[TBL] [Abstract][Full Text] [Related]
17. Genomic prediction of breeding values using previously estimated SNP variances.
Calus MP; Schrooten C; Veerkamp RF
Genet Sel Evol; 2014 Sep; 46(1):52. PubMed ID: 25928875
[TBL] [Abstract][Full Text] [Related]
18. WISH-R- a fast and efficient tool for construction of epistatic networks for complex traits and diseases.
Carmelo VAO; Kogelman LJA; Madsen MB; Kadarmideen HN
BMC Bioinformatics; 2018 Jul; 19(1):277. PubMed ID: 30064383
[TBL] [Abstract][Full Text] [Related]
19. Empirical and deterministic accuracies of across-population genomic prediction.
Wientjes YC; Veerkamp RF; Bijma P; Bovenhuis H; Schrooten C; Calus MP
Genet Sel Evol; 2015 Feb; 47(1):5. PubMed ID: 25885467
[TBL] [Abstract][Full Text] [Related]
20. An efficient unified model for genome-wide association studies and genomic selection.
Li H; Su G; Jiang L; Bao Z
Genet Sel Evol; 2017 Aug; 49(1):64. PubMed ID: 28836943
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
