332 related articles for article (PubMed ID: 35870886)
21. Accounting for trait architecture in genomic predictions of US Holstein cattle using a weighted realized relationship matrix.
Tiezzi F; Maltecca C
Genet Sel Evol; 2015 Apr; 47(1):24. PubMed ID: 25886167
[TBL] [Abstract][Full Text] [Related]
22. Comparison of conventional BLUP and single-step genomic BLUP evaluations for yearling weight and carcass traits in Hanwoo beef cattle using single trait and multi-trait models.
Mehrban H; Lee DH; Naserkheil M; Moradi MH; Ibáñez-Escriche N
PLoS One; 2019; 14(10):e0223352. PubMed ID: 31609979
[TBL] [Abstract][Full Text] [Related]
23. Application of Bayesian genomic prediction methods to genome-wide association analyses.
Wolc A; Dekkers JCM
Genet Sel Evol; 2022 May; 54(1):31. PubMed ID: 35562659
[TBL] [Abstract][Full Text] [Related]
24. Genomic Prediction of Additive and Non-additive Effects Using Genetic Markers and Pedigrees.
de Almeida Filho JE; Guimarães JFR; Fonsceca E Silva F; Vilela de Resende MD; Muñoz P; Kirst M; de Resende Júnior MFR
G3 (Bethesda); 2019 Aug; 9(8):2739-2748. PubMed ID: 31263059
[TBL] [Abstract][Full Text] [Related]
25. Gene based markers improve precision of genome-wide association studies and accuracy of genomic predictions in rice breeding.
Anilkumar C; Muhammed Azharudheen TP; Sah RP; Sunitha NC; Devanna BN; Marndi BC; Patra BC
Heredity (Edinb); 2023 May; 130(5):335-345. PubMed ID: 36792661
[TBL] [Abstract][Full Text] [Related]
26. Multi-trait Genomic Prediction Model Increased the Predictive Ability for Agronomic and Malting Quality Traits in Barley (
Bhatta M; Gutierrez L; Cammarota L; Cardozo F; Germán S; Gómez-Guerrero B; Pardo MF; Lanaro V; Sayas M; Castro AJ
G3 (Bethesda); 2020 Mar; 10(3):1113-1124. PubMed ID: 31974097
[TBL] [Abstract][Full Text] [Related]
27. Lodgepole Pine Cambium (Pinus contorta Dougl. ex Loud. var. latifolia Engelm. ex S. Wats.): a springtime first peoples' food in British Columbia.
Dilbone M; Turner NJ; von Aderkas P
Ecol Food Nutr; 2013; 52(2):130-47. PubMed ID: 23445392
[TBL] [Abstract][Full Text] [Related]
28. Genomic prediction in maize breeding populations with genotyping-by-sequencing.
Crossa J; Beyene Y; Kassa S; Pérez P; Hickey JM; Chen C; de los Campos G; Burgueño J; Windhausen VS; Buckler E; Jannink JL; Lopez Cruz MA; Babu R
G3 (Bethesda); 2013 Nov; 3(11):1903-26. PubMed ID: 24022750
[TBL] [Abstract][Full Text] [Related]
29. A Multiple-Trait Bayesian Lasso for Genome-Enabled Analysis and Prediction of Complex Traits.
Gianola D; Fernando RL
Genetics; 2020 Feb; 214(2):305-331. PubMed ID: 31879318
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. Multiple-trait QTL mapping and genomic prediction for wool traits in sheep.
Bolormaa S; Swan AA; Brown DJ; Hatcher S; Moghaddar N; van der Werf JH; Goddard ME; Daetwyler HD
Genet Sel Evol; 2017 Aug; 49(1):62. PubMed ID: 28810834
[TBL] [Abstract][Full Text] [Related]
32. Integrating genome-wide association mapping of additive and dominance genetic effects to improve genomic prediction accuracy in Eucalyptus.
Tan B; Ingvarsson PK
Plant Genome; 2022 Jun; 15(2):e20208. PubMed ID: 35441826
[TBL] [Abstract][Full Text] [Related]
33. Genetic Dissection of Grain Yield of Maize and Yield-Related Traits Through Association Mapping and Genomic Prediction.
Ma J; Cao Y
Front Plant Sci; 2021; 12():690059. PubMed ID: 34335658
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Meta-analysis of genome-wide association from genomic prediction models.
Bernal Rubio YL; Gualdrón Duarte JL; Bates RO; Ernst CW; Nonneman D; Rohrer GA; King A; Shackelford SD; Wheeler TL; Cantet RJ; Steibel JP
Anim Genet; 2016 Feb; 47(1):36-48. PubMed ID: 26607299
[TBL] [Abstract][Full Text] [Related]
36. Genome-enabled prediction of meat and carcass traits using Bayesian regression, single-step genomic best linear unbiased prediction and blending methods in Nelore cattle.
Lopes FB; Baldi F; Passafaro TL; Brunes LC; Costa MFO; Eifert EC; Narciso MG; Rosa GJM; Lobo RB; Magnabosco CU
Animal; 2021 Jan; 15(1):100006. PubMed ID: 33516009
[TBL] [Abstract][Full Text] [Related]
37. Modeling genotype × environment interaction for single and multitrait genomic prediction in potato (Solanum tuberosum L.).
Cuevas J; Reslow F; Crossa J; Ortiz R
G3 (Bethesda); 2023 Feb; 13(2):. PubMed ID: 36477309
[TBL] [Abstract][Full Text] [Related]
38. Variation in water potential, hydraulic characteristics and water source use in montane Douglas-fir and lodgepole pine trees in southwestern Alberta and consequences for seasonal changes in photosynthetic capacity.
Andrews SF; Flanagan LB; Sharp EJ; Cai T
Tree Physiol; 2012 Feb; 32(2):146-60. PubMed ID: 22318220
[TBL] [Abstract][Full Text] [Related]
39. Factors affecting the accuracy of genomic prediction in joint pig populations.
Zhao W; Zhang Z; Wang Z; Ma P; Pan Y; Wang Q; Zhang Z
Animal; 2023 Oct; 17(10):100980. PubMed ID: 37797495
[TBL] [Abstract][Full Text] [Related]
40. Comparison of genomic predictions using genomic relationship matrices built with different weighting factors to account for locus-specific variances.
Su G; Christensen OF; Janss L; Lund MS
J Dairy Sci; 2014 Oct; 97(10):6547-59. PubMed ID: 25129495
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
