BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

177 related articles for article (PubMed ID: 37965378)

  • 1. Integrating genome-wide association study into genomic selection for the prediction of agronomic traits in rice (
    Zhang Y; Zhang M; Ye J; Xu Q; Feng Y; Xu S; Hu D; Wei X; Hu P; Yang Y
    Mol Breed; 2023 Nov; 43(11):81. PubMed ID: 37965378
    [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. Comparison of Models and Whole-Genome Profiling Approaches for Genomic-Enabled Prediction of Septoria Tritici Blotch, Stagonospora Nodorum Blotch, and Tan Spot Resistance in Wheat.
    Juliana P; Singh RP; Singh PK; Crossa J; Rutkoski JE; Poland JA; Bergstrom GC; Sorrells ME
    Plant Genome; 2017 Jul; 10(2):. PubMed ID: 28724084
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Genome-wide association study and genomic prediction for yield and grain quality traits of hybrid rice.
    Yu P; Ye C; Li L; Yin H; Zhao J; Wang Y; Zhang Z; Li W; Long Y; Hu X; Xiao J; Jia G; Tian B
    Mol Breed; 2022 Apr; 42(4):16. PubMed ID: 37309463
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Genome-wide association mapping and genomic prediction of agronomical traits and breeding values in Iranian wheat under rain-fed and well-watered conditions.
    Rabieyan E; Bihamta MR; Moghaddam ME; Mohammadi V; Alipour H
    BMC Genomics; 2022 Dec; 23(1):831. PubMed ID: 36522726
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Genomic Prediction for Grain Yield and Yield-Related Traits in Chinese Winter Wheat.
    Ali M; Zhang Y; Rasheed A; Wang J; Zhang L
    Int J Mol Sci; 2020 Feb; 21(4):. PubMed ID: 32079240
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Evaluation of genomic selection methods for predicting fiber quality traits in Upland cotton.
    Islam MS; Fang DD; Jenkins JN; Guo J; McCarty JC; Jones DC
    Mol Genet Genomics; 2020 Jan; 295(1):67-79. PubMed ID: 31473809
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Early Selection Enabled by the Implementation of Genomic Selection in
    Sousa TV; Caixeta ET; Alkimim ER; Oliveira ACB; Pereira AA; Sakiyama NS; Zambolim L; Resende MDV
    Front Plant Sci; 2018; 9():1934. PubMed ID: 30671077
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Genomic selection of agronomic traits in hybrid rice using an NCII population.
    Xu Y; Wang X; Ding X; Zheng X; Yang Z; Xu C; Hu Z
    Rice (N Y); 2018 May; 11(1):32. PubMed ID: 29748895
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluation of RR-BLUP Genomic Selection Models that Incorporate Peak Genome-Wide Association Study Signals in Maize and Sorghum.
    Rice B; Lipka AE
    Plant Genome; 2019 Mar; 12(1):. PubMed ID: 30951091
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Genome-wide association study-based identification genes influencing agronomic traits in rice (Oryza sativa L.).
    Wang A; Jiang Y; Shu X; Zha Z; Yin D; Liu Y; Zhang D; Xu D; Jiao C; Jia X; Ye X; Li S; Deng Q; Wang S; Zhu J; Liang Y; Zou T; Liu H; Wang L; Zhu J; Li P; Zhang Z; Zheng A
    Genomics; 2021 May; 113(3):1396-1406. PubMed ID: 33711454
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Exploring the areas of applicability of whole-genome prediction methods for Asian rice (Oryza sativa L.).
    Onogi A; Ideta O; Inoshita Y; Ebana K; Yoshioka T; Yamasaki M; Iwata H
    Theor Appl Genet; 2015 Jan; 128(1):41-53. PubMed ID: 25341369
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Optimizing genomic selection of agricultural traits using K-wheat core collection.
    Kang Y; Choi C; Kim JY; Min KD; Kim C
    Front Plant Sci; 2023; 14():1112297. PubMed ID: 37389296
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-omics-based prediction of hybrid performance in canola.
    Knoch D; Werner CR; Meyer RC; Riewe D; Abbadi A; Lücke S; Snowdon RJ; Altmann T
    Theor Appl Genet; 2021 Apr; 134(4):1147-1165. PubMed ID: 33523261
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Genomic predictions can accelerate selection for resistance against Piscirickettsia salmonis in Atlantic salmon (Salmo salar).
    Bangera R; Correa K; Lhorente JP; Figueroa R; Yáñez JM
    BMC Genomics; 2017 Jan; 18(1):121. PubMed ID: 28143402
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Genome-wide prediction models that incorporate de novo GWAS are a powerful new tool for tropical rice improvement.
    Spindel JE; Begum H; Akdemir D; Collard B; Redoña E; Jannink JL; McCouch S
    Heredity (Edinb); 2016 Apr; 116(4):395-408. PubMed ID: 26860200
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.