These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

217 related articles for article (PubMed ID: 27480157)

  • 1. Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.).
    Auinger HJ; Schönleben M; Lehermeier C; Schmidt M; Korzun V; Geiger HH; Piepho HP; Gordillo A; Wilde P; Bauer E; Schön CC
    Theor Appl Genet; 2016 Nov; 129(11):2043-2053. PubMed ID: 27480157
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Integration of genotypic, hyperspectral, and phenotypic data to improve biomass yield prediction in hybrid rye.
    Galán RJ; Bernal-Vasquez AM; Jebsen C; Piepho HP; Thorwarth P; Steffan P; Gordillo A; Miedaner T
    Theor Appl Genet; 2020 Nov; 133(11):3001-3015. PubMed ID: 32681289
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Genomic prediction in early selection stages using multi-year data in a hybrid rye breeding program.
    Bernal-Vasquez AM; Gordillo A; Schmidt M; Piepho HP
    BMC Genet; 2017 May; 18(1):51. PubMed ID: 28569139
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Calibration and validation of predicted genomic breeding values in an advanced cycle maize population.
    Auinger HJ; Lehermeier C; Gianola D; Mayer M; Melchinger AE; da Silva S; Knaak C; Ouzunova M; Schön CC
    Theor Appl Genet; 2021 Sep; 134(9):3069-3081. PubMed ID: 34117908
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multiple-trait- and selection indices-genomic predictions for grain yield and protein content in rye for feeding purposes.
    Schulthess AW; Wang Y; Miedaner T; Wilde P; Reif JC; Zhao Y
    Theor Appl Genet; 2016 Feb; 129(2):273-87. PubMed ID: 26561306
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Genome-based prediction of maize hybrid performance across genetic groups, testers, locations, and years.
    Albrecht T; Auinger HJ; Wimmer V; Ogutu JO; Knaak C; Ouzunova M; Piepho HP; Schön CC
    Theor Appl Genet; 2014 Jun; 127(6):1375-86. PubMed ID: 24723140
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Genome-based prediction of testcross values in maize.
    Albrecht T; Wimmer V; Auinger HJ; Erbe M; Knaak C; Ouzunova M; Simianer H; Schön CC
    Theor Appl Genet; 2011 Jul; 123(2):339-50. PubMed ID: 21505832
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development of genomic predictions for Angus cattle in Brazil incorporating genotypes from related American sires.
    Campos GS; Cardoso FF; Gomes CCG; Domingues R; de Almeida Regitano LC; de Sena Oliveira MC; de Oliveira HN; Carvalheiro R; Albuquerque LG; Miller S; Misztal I; Lourenco D
    J Anim Sci; 2022 Feb; 100(2):. PubMed ID: 35031806
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. Accuracy of predicting genomic breeding values for residual feed intake in Angus and Charolais beef cattle.
    Chen L; Schenkel F; Vinsky M; Crews DH; Li C
    J Anim Sci; 2013 Oct; 91(10):4669-78. PubMed ID: 24078618
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Genomic selection for productive traits in biparental cassava breeding populations.
    Torres LG; Vilela de Resende MD; Azevedo CF; Fonseca E Silva F; de Oliveira EJ
    PLoS One; 2019; 14(7):e0220245. PubMed ID: 31344109
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat.
    Rutkoski J; Poland J; Mondal S; Autrique E; Pérez LG; Crossa J; Reynolds M; Singh R
    G3 (Bethesda); 2016 Sep; 6(9):2799-808. PubMed ID: 27402362
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Genomic prediction of hybrid performance for agronomic traits in sorghum.
    Sapkota S; Boatwright JL; Kumar N; Myers M; Cox A; Ackerman A; Caughman W; Brenton ZW; Boyles RE; Kresovich S
    G3 (Bethesda); 2023 Apr; 13(4):. PubMed ID: 36454599
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Genomic prediction for hastening and improving efficiency of forward selection in conifer polycross mating designs: an example from white spruce.
    Lenz PRN; Nadeau S; Azaiez A; Gérardi S; Deslauriers M; Perron M; Isabel N; Beaulieu J; Bousquet J
    Heredity (Edinb); 2020 Apr; 124(4):562-578. PubMed ID: 31969718
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluation of the efficiency of genomic versus pedigree predictions for growth and wood quality traits in Scots pine.
    Calleja-Rodriguez A; Pan J; Funda T; Chen Z; Baison J; Isik F; Abrahamsson S; Wu HX
    BMC Genomics; 2020 Nov; 21(1):796. PubMed ID: 33198692
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Genomic prediction ability for yield-related traits in German winter barley elite material.
    Thorwarth P; Ahlemeyer J; Bochard AM; Krumnacker K; Blümel H; Laubach E; Knöchel N; Cselényi L; Ordon F; Schmid KJ
    Theor Appl Genet; 2017 Aug; 130(8):1669-1683. PubMed ID: 28534096
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.