BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

199 related articles for article (PubMed ID: 31974097)

  • 1. 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]  

  • 2. Multi-trait genomic prediction using in-season physiological parameters increases prediction accuracy of complex traits in US wheat.
    Shahi D; Guo J; Pradhan S; Khan J; Avci M; Khan N; McBreen J; Bai G; Reynolds M; Foulkes J; Babar MA
    BMC Genomics; 2022 Apr; 23(1):298. PubMed ID: 35413795
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-Trait Multi-Environment Genomic Prediction of Agronomic Traits in Advanced Breeding Lines of Winter Wheat.
    Gill HS; Halder J; Zhang J; Brar NK; Rai TS; Hall C; Bernardo A; Amand PS; Bai G; Olson E; Ali S; Turnipseed B; Sehgal SK
    Front Plant Sci; 2021; 12():709545. PubMed ID: 34490011
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multi-Trait Genomic Prediction Improves Predictive Ability for Dry Matter Yield and Water-Soluble Carbohydrates in Perennial Ryegrass.
    Arojju SK; Cao M; Trolove M; Barrett BA; Inch C; Eady C; Stewart A; Faville MJ
    Front Plant Sci; 2020; 11():1197. PubMed ID: 32849742
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-Trait Genomic Prediction Models Enhance the Predictive Ability of Grain Trace Elements in Rice.
    Muvunyi BP; Zou W; Zhan J; He S; Ye G
    Front Genet; 2022; 13():883853. PubMed ID: 35812754
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of malting quality traits in barley based on genome-wide marker data to assess the potential of genomic selection.
    Schmidt M; Kollers S; Maasberg-Prelle A; Großer J; Schinkel B; Tomerius A; Graner A; Korzun V
    Theor Appl Genet; 2016 Feb; 129(2):203-13. PubMed ID: 26649866
    [TBL] [Abstract][Full Text] [Related]  

  • 7. (Quasi) multitask support vector regression with heuristic hyperparameter optimization for whole-genome prediction of complex traits: a case study with carcass traits in broilers.
    Alves AAC; Fernandes AFA; Lopes FB; Breen V; Hawken R; Gianola D; Rosa GJM
    G3 (Bethesda); 2023 Aug; 13(8):. PubMed ID: 37216670
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Improving accuracies of genomic predictions for drought tolerance in maize by joint modeling of additive and dominance effects in multi-environment trials.
    Dias KODG; Gezan SA; Guimarães CT; Nazarian A; da Costa E Silva L; Parentoni SN; de Oliveira Guimarães PE; de Oliveira Anoni C; Pádua JMV; de Oliveira Pinto M; Noda RW; Ribeiro CAG; de Magalhães JV; Garcia AAF; de Souza JC; Guimarães LJM; Pastina MM
    Heredity (Edinb); 2018 Jul; 121(1):24-37. PubMed ID: 29472694
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Genomic Prediction with Pedigree and Genotype × Environment Interaction in Spring Wheat Grown in South and West Asia, North Africa, and Mexico.
    Sukumaran S; Crossa J; Jarquin D; Lopes M; Reynolds MP
    G3 (Bethesda); 2017 Feb; 7(2):481-495. PubMed ID: 27903632
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Breeding progress, genotypic and environmental variation and correlation of quality traits in malting barley in German official variety trials between 1983 and 2015.
    Laidig F; Piepho HP; Rentel D; Drobek T; Meyer U
    Theor Appl Genet; 2017 Nov; 130(11):2411-2429. PubMed ID: 28821914
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Resource allocation optimization with multi-trait genomic prediction for bread wheat (Triticum aestivum L.) baking quality.
    Lado B; Vázquez D; Quincke M; Silva P; Aguilar I; Gutiérrez L
    Theor Appl Genet; 2018 Dec; 131(12):2719-2731. PubMed ID: 30232499
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Accuracy of across-environment genome-wide prediction in maize nested association mapping populations.
    Guo Z; Tucker DM; Wang D; Basten CJ; Ersoz E; Briggs WH; Lu J; Li M; Gay G
    G3 (Bethesda); 2013 Feb; 3(2):263-72. PubMed ID: 23390602
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Increased Predictive Accuracy of Multi-Environment Genomic Prediction Model for Yield and Related Traits in Spring Wheat (
    Tomar V; Singh D; Dhillon GS; Chung YS; Poland J; Singh RP; Joshi AK; Gautam Y; Tiwari BS; Kumar U
    Front Plant Sci; 2021; 12():720123. PubMed ID: 34691100
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Selection of trait-specific markers and multi-environment models improve genomic predictive ability in rice.
    Bhandari A; Bartholomé J; Cao-Hamadoun TV; Kumari N; Frouin J; Kumar A; Ahmadi N
    PLoS One; 2019; 14(5):e0208871. PubMed ID: 31059529
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Genomic Prediction with Genotype by Environment Interaction Analysis for Kernel Zinc Concentration in Tropical Maize Germplasm.
    Mageto EK; Crossa J; Pérez-Rodríguez P; Dhliwayo T; Palacios-Rojas N; Lee M; Guo R; San Vicente F; Zhang X; Hindu V
    G3 (Bethesda); 2020 Aug; 10(8):2629-2639. PubMed ID: 32482728
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Mapping of agronomic traits, disease resistance and malting quality in a wide cross of two-row barley cultivars.
    Goddard R; de Vos S; Steed A; Muhammed A; Thomas K; Griggs D; Ridout C; Nicholson P
    PLoS One; 2019; 14(7):e0219042. PubMed ID: 31314759
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Impact of the 7-bp deletion in HvGA20ox2 gene on agronomic important traits in barley (Hordeum vulgare L.).
    Teplyakova S; Lebedeva M; Ivanova N; Horeva V; Voytsutskaya N; Kovaleva O; Potokina E
    BMC Plant Biol; 2017 Nov; 17(Suppl 1):181. PubMed ID: 29143605
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Genome-based trait prediction in multi- environment breeding trials in groundnut.
    Pandey MK; Chaudhari S; Jarquin D; Janila P; Crossa J; Patil SC; Sundravadana S; Khare D; Bhat RS; Radhakrishnan T; Hickey JM; Varshney RK
    Theor Appl Genet; 2020 Nov; 133(11):3101-3117. PubMed ID: 32809035
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.