171 related articles for article (PubMed ID: 31088906)
1. Genomic Selection for Yield and Seed Composition Traits Within an Applied Soybean Breeding Program.
Stewart-Brown BB; Song Q; Vaughn JN; Li Z
G3 (Bethesda); 2019 Jul; 9(7):2253-2265. PubMed ID: 31088906
[TBL] [Abstract][Full Text] [Related]
2. Genomic selection and association mapping in rice (Oryza sativa): effect of trait genetic architecture, training population composition, marker number and statistical model on accuracy of rice genomic selection in elite, tropical rice breeding lines.
Spindel J; Begum H; Akdemir D; Virk P; Collard B; Redoña E; Atlin G; Jannink JL; McCouch SR
PLoS Genet; 2015 Feb; 11(2):e1004982. PubMed ID: 25689273
[TBL] [Abstract][Full Text] [Related]
3. Genome-wide association study, genomic prediction and marker-assisted selection for seed weight in soybean (Glycine max).
Zhang J; Song Q; Cregan PB; Jiang GL
Theor Appl Genet; 2016 Jan; 129(1):117-30. PubMed ID: 26518570
[TBL] [Abstract][Full Text] [Related]
4. Genomic selection performs as effectively as phenotypic selection for increasing seed yield in soybean.
Bandillo NB; Jarquin D; Posadas LG; Lorenz AJ; Graef GL
Plant Genome; 2023 Mar; 16(1):e20285. PubMed ID: 36447395
[TBL] [Abstract][Full Text] [Related]
5. Genotyping by sequencing for genomic prediction in a soybean breeding population.
Jarquín D; Kocak K; Posadas L; Hyma K; Jedlicka J; Graef G; Lorenz A
BMC Genomics; 2014 Aug; 15(1):740. PubMed ID: 25174348
[TBL] [Abstract][Full Text] [Related]
6. Performance of genomic prediction within and across generations in maritime pine.
Bartholomé J; Van Heerwaarden J; Isik F; Boury C; Vidal M; Plomion C; Bouffier L
BMC Genomics; 2016 Aug; 17(1):604. PubMed ID: 27515254
[TBL] [Abstract][Full Text] [Related]
7. Cassava yield traits predicted by genomic selection methods.
Andrade LRB; Sousa MBE; Oliveira EJ; Resende MDV; Azevedo CF
PLoS One; 2019; 14(11):e0224920. PubMed ID: 31725759
[TBL] [Abstract][Full Text] [Related]
8. Training set design in genomic prediction with multiple biparental families.
Zhu X; Leiser WL; Hahn V; Würschum T
Plant Genome; 2021 Nov; 14(3):e20124. PubMed ID: 34302722
[TBL] [Abstract][Full Text] [Related]
9. Genomic selection of soybean (Glycine max) for genetic improvement of yield and seed composition in a breeding context.
Miller MJ; Song Q; Li Z
Plant Genome; 2023 Dec; 16(4):e20384. PubMed ID: 37749946
[TBL] [Abstract][Full Text] [Related]
10. Early prediction of biomass in hybrid rye based on hyperspectral data surpasses genomic predictability in less-related breeding material.
Galán RJ; Bernal-Vasquez AM; Jebsen C; Piepho HP; Thorwarth P; Steffan P; Gordillo A; Miedaner T
Theor Appl Genet; 2021 May; 134(5):1409-1422. PubMed ID: 33630103
[TBL] [Abstract][Full Text] [Related]
11. Genome-Wide Association Study of Yield Component Traits in Intermediate Wheatgrass and Implications in Genomic Selection and Breeding.
Bajgain P; Zhang X; Anderson JA
G3 (Bethesda); 2019 Aug; 9(8):2429-2439. PubMed ID: 31147390
[TBL] [Abstract][Full Text] [Related]
12. Genomic selection of seed weight based on low-density SCAR markers in soybean.
Shu YJ; Yu DS; Wang D; Bai X; Zhu YM; Guo CH
Genet Mol Res; 2013 Jul; 12(3):2178-88. PubMed ID: 23884761
[TBL] [Abstract][Full Text] [Related]
13. The accuracy of prediction of genomic selection in elite hybrid rye populations surpasses the accuracy of marker-assisted selection and is equally augmented by multiple field evaluation locations and test years.
Wang Y; Mette MF; Miedaner T; Gottwald M; Wilde P; Reif JC; Zhao Y
BMC Genomics; 2014 Jul; 15(1):556. PubMed ID: 24997166
[TBL] [Abstract][Full Text] [Related]
14. Genomic Prediction of Seed Quality Traits Using Advanced Barley Breeding Lines.
Nielsen NH; Jahoor A; Jensen JD; Orabi J; Cericola F; Edriss V; Jensen J
PLoS One; 2016; 11(10):e0164494. PubMed ID: 27783639
[TBL] [Abstract][Full Text] [Related]
15. Phenomic selection in wheat breeding: identification and optimisation of factors influencing prediction accuracy and comparison to genomic selection.
Robert P; Auzanneau J; Goudemand E; Oury FX; Rolland B; Heumez E; Bouchet S; Le Gouis J; Rincent R
Theor Appl Genet; 2022 Mar; 135(3):895-914. PubMed ID: 34988629
[TBL] [Abstract][Full Text] [Related]
16. Genomic predictability of interconnected biparental maize populations.
Riedelsheimer C; Endelman JB; Stange M; Sorrells ME; Jannink JL; Melchinger AE
Genetics; 2013 Jun; 194(2):493-503. PubMed ID: 23535384
[TBL] [Abstract][Full Text] [Related]
17. Genomic prediction of optimal cross combinations to accelerate genetic improvement of soybean (
Miller MJ; Song Q; Fallen B; Li Z
Front Plant Sci; 2023; 14():1171135. PubMed ID: 37235007
[TBL] [Abstract][Full Text] [Related]
18. Genomic selection across multiple breeding cycles in applied bread wheat breeding.
Michel S; Ametz C; Gungor H; Epure D; Grausgruber H; Löschenberger F; Buerstmayr H
Theor Appl Genet; 2016 Jun; 129(6):1179-89. PubMed ID: 27067826
[TBL] [Abstract][Full Text] [Related]
19. Combining genetic resources and elite material populations to improve the accuracy of genomic prediction in apple.
Cazenave X; Petit B; Lateur M; Nybom H; Sedlak J; Tartarini S; Laurens F; Durel CE; Muranty H
G3 (Bethesda); 2022 Mar; 12(3):. PubMed ID: 34893831
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]