BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

428 related articles for article (PubMed ID: 30548574)

  • 1. Converging phenomics and genomics to study natural variation in plant photosynthetic efficiency.
    van Bezouw RFHM; Keurentjes JJB; Harbinson J; Aarts MGM
    Plant J; 2019 Jan; 97(1):112-133. PubMed ID: 30548574
    [TBL] [Abstract][Full Text] [Related]  

  • 2. High-throughput phenotyping for crop improvement in the genomics era.
    Mir RR; Reynolds M; Pinto F; Khan MA; Bhat MA
    Plant Sci; 2019 May; 282():60-72. PubMed ID: 31003612
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Plant phenomics: High-throughput technology for accelerating genomics.
    Pasala R; Pandey BB
    J Biosci; 2020; 45():. PubMed ID: 32975238
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Crop Phenomics and High-Throughput Phenotyping: Past Decades, Current Challenges, and Future Perspectives.
    Yang W; Feng H; Zhang X; Zhang J; Doonan JH; Batchelor WD; Xiong L; Yan J
    Mol Plant; 2020 Feb; 13(2):187-214. PubMed ID: 31981735
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal crops.
    Furbank RT; Jimenez-Berni JA; George-Jaeggli B; Potgieter AB; Deery DM
    New Phytol; 2019 Sep; 223(4):1714-1727. PubMed ID: 30937909
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The role of phenomics and genomics in delineating the genetic basis of complex traits in millets.
    Jadhav Y; Thakur NR; Ingle KP; Ceasar SA
    Physiol Plant; 2024; 176(3):e14349. PubMed ID: 38783512
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Plant phenomics and the need for physiological phenotyping across scales to narrow the genotype-to-phenotype knowledge gap.
    Großkinsky DK; Svensgaard J; Christensen S; Roitsch T
    J Exp Bot; 2015 Sep; 66(18):5429-40. PubMed ID: 26163702
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Crop breeding for a changing climate: integrating phenomics and genomics with bioinformatics.
    Marsh JI; Hu H; Gill M; Batley J; Edwards D
    Theor Appl Genet; 2021 Jun; 134(6):1677-1690. PubMed ID: 33852055
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Applying the latest advances in genomics and phenomics for trait discovery in polyploid wheat.
    Borrill P; Harrington SA; Uauy C
    Plant J; 2019 Jan; 97(1):56-72. PubMed ID: 30407665
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Exploiting Natural Variation to Discover Candidate Genes Involved in Photosynthesis-Related Traits.
    de Oliveira Silva FM; de Ávila Silva L; Araújo WL; Zsögön A; Nunes-Nesi A
    Methods Mol Biol; 2017; 1653():125-135. PubMed ID: 28822130
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Genetics as a key to improving crop photosynthesis.
    Theeuwen TPJM; Logie LL; Harbinson J; Aarts MGM
    J Exp Bot; 2022 May; 73(10):3122-3137. PubMed ID: 35235648
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Plant Phenomics, From Sensors to Knowledge.
    Tardieu F; Cabrera-Bosquet L; Pridmore T; Bennett M
    Curr Biol; 2017 Aug; 27(15):R770-R783. PubMed ID: 28787611
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Natural genetic variation in plant photosynthesis.
    Flood PJ; Harbinson J; Aarts MG
    Trends Plant Sci; 2011 Jun; 16(6):327-35. PubMed ID: 21435936
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Computational aspects underlying genome to phenome analysis in plants.
    Bolger AM; Poorter H; Dumschott K; Bolger ME; Arend D; Osorio S; Gundlach H; Mayer KFX; Lange M; Scholz U; Usadel B
    Plant J; 2019 Jan; 97(1):182-198. PubMed ID: 30500991
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Phenomics and genomics of finger millet: current status and future prospects.
    Sood S; Joshi DC; Chandra AK; Kumar A
    Planta; 2019 Sep; 250(3):731-751. PubMed ID: 30968267
    [TBL] [Abstract][Full Text] [Related]  

  • 16. High-Throughput Phenotyping Methods for Breeding Drought-Tolerant Crops.
    Kim M; Lee C; Hong S; Kim SL; Baek JH; Kim KH
    Int J Mol Sci; 2021 Jul; 22(15):. PubMed ID: 34361030
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Genomics-based strategies for the use of natural variation in the improvement of crop metabolism.
    Scossa F; Brotman Y; de Abreu E Lima F; Willmitzer L; Nikoloski Z; Tohge T; Fernie AR
    Plant Sci; 2016 Jan; 242():47-64. PubMed ID: 26566824
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Genetic and genomic resources of sorghum to connect genotype with phenotype in contrasting environments.
    Boyles RE; Brenton ZW; Kresovich S
    Plant J; 2019 Jan; 97(1):19-39. PubMed ID: 30260043
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Natural genetic variation for acclimation of photosynthetic light use efficiency to growth irradiance in Arabidopsis.
    van Rooijen R; Aarts MG; Harbinson J
    Plant Physiol; 2015 Apr; 167(4):1412-29. PubMed ID: 25670817
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Applications of Artificial Intelligence in Climate-Resilient Smart-Crop Breeding.
    Khan MHU; Wang S; Wang J; Ahmar S; Saeed S; Khan SU; Xu X; Chen H; Bhat JA; Feng X
    Int J Mol Sci; 2022 Sep; 23(19):. PubMed ID: 36232455
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.