BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

215 related articles for article (PubMed ID: 34356544)

  • 1. Genomic Selection for End-Use Quality and Processing Traits in Soft White Winter Wheat Breeding Program with Machine and Deep Learning Models.
    Sandhu KS; Aoun M; Morris CF; Carter AH
    Biology (Basel); 2021 Jul; 10(7):. PubMed ID: 34356544
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multi-Trait Multi-Environment Genomic Prediction for End-Use Quality Traits in Winter Wheat.
    Sandhu KS; Patil SS; Aoun M; Carter AH
    Front Genet; 2022; 13():831020. PubMed ID: 35173770
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multitrait machine- and deep-learning models for genomic selection using spectral information in a wheat breeding program.
    Sandhu K; Patil SS; Pumphrey M; Carter A
    Plant Genome; 2021 Nov; 14(3):e20119. PubMed ID: 34482627
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep Learning for Predicting Complex Traits in Spring Wheat Breeding Program.
    Sandhu KS; Lozada DN; Zhang Z; Pumphrey MO; Carter AH
    Front Plant Sci; 2020; 11():613325. PubMed ID: 33469463
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Accuracy of genomic selection for grain yield and agronomic traits in soft red winter wheat.
    Lozada DN; Mason RE; Sarinelli JM; Brown-Guedira G
    BMC Genet; 2019 Nov; 20(1):82. PubMed ID: 31675927
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Ridge regression and deep learning models for genome-wide selection of complex traits in New Mexican Chile peppers.
    Lozada DN; Sandhu KS; Bhatta M
    BMC Genom Data; 2023 Dec; 24(1):80. PubMed ID: 38110866
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Enhancing the potential of phenomic and genomic prediction in winter wheat breeding using high-throughput phenotyping and deep learning.
    Kaushal S; Gill HS; Billah MM; Khan SN; Halder J; Bernardo A; Amand PS; Bai G; Glover K; Maimaitijiang M; Sehgal SK
    Front Plant Sci; 2024; 15():1410249. PubMed ID: 38872880
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Environment characterization and genomic prediction for end-use quality traits in soft white winter wheat.
    Aoun M; Carter A; Thompson YA; Ward B; Morris CF
    Plant Genome; 2021 Nov; 14(3):e20128. PubMed ID: 34396703
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Improving Wheat Yield Prediction Using Secondary Traits and High-Density Phenotyping Under Heat-Stressed Environments.
    Rahman MM; Crain J; Haghighattalab A; Singh RP; Poland J
    Front Plant Sci; 2021; 12():633651. PubMed ID: 34646280
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Using machine learning to realize genetic site screening and genomic prediction of productive traits in pigs.
    Xiang T; Li T; Li J; Li X; Wang J
    FASEB J; 2023 Jun; 37(6):e22961. PubMed ID: 37178007
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Genomic Prediction and Genome-Wide Association Studies of Flour Yield and Alveograph Quality Traits Using Advanced Winter Wheat Breeding Material.
    Kristensen PS; Jensen J; Andersen JR; Guzmán C; Orabi J; Jahoor A
    Genes (Basel); 2019 Aug; 10(9):. PubMed ID: 31480460
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Genomic Selection for Processing and End-Use Quality Traits in the CIMMYT Spring Bread Wheat Breeding Program.
    Battenfield SD; Guzmán C; Gaynor RC; Singh RP; Peña RJ; Dreisigacker S; Fritz AK; Poland JA
    Plant Genome; 2016 Jul; 9(2):. PubMed ID: 27898810
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Application of Genomic Selection at the Early Stage of Breeding Pipeline in Tropical Maize.
    Beyene Y; Gowda M; Pérez-Rodríguez P; Olsen M; Robbins KR; Burgueño J; Prasanna BM; Crossa J
    Front Plant Sci; 2021; 12():685488. PubMed ID: 34262585
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Genomic selection for agronomic traits in a winter wheat breeding program.
    Ficht A; Konkin DJ; Cram D; Sidebottom C; Tan Y; Pozniak C; Rajcan I
    Theor Appl Genet; 2023 Mar; 136(3):38. PubMed ID: 36897431
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Genetic architecture of end-use quality traits in soft white winter wheat.
    Aoun M; Carter AH; Morris CF; Kiszonas AM
    BMC Genomics; 2022 Jun; 23(1):440. PubMed ID: 35701755
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat.
    Fei S; Hassan MA; Xiao Y; Su X; Chen Z; Cheng Q; Duan F; Chen R; Ma Y
    Precis Agric; 2023; 24(1):187-212. PubMed ID: 35967193
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Genomic Selection in Winter Wheat Breeding Using a Recommender Approach.
    Lozada DN; Carter AH
    Genes (Basel); 2020 Jul; 11(7):. PubMed ID: 32664601
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.