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 *

289 related articles for article (PubMed ID: 31003608)

  • 1. Review: New sensors and data-driven approaches-A path to next generation phenomics.
    Roitsch T; Cabrera-Bosquet L; Fournier A; Ghamkhar K; Jiménez-Berni J; Pinto F; Ober ES
    Plant Sci; 2019 May; 282():2-10. PubMed ID: 31003608
    [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. 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]  

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

  • 5. Designing Experiments for Physiological Phenomics.
    Thompson A; Kantar M; Rainey K
    Methods Mol Biol; 2022; 2539():159-170. PubMed ID: 35895203
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Accelerating Climate Resilient Plant Breeding by Applying Next-Generation Artificial Intelligence.
    Harfouche AL; Jacobson DA; Kainer D; Romero JC; Harfouche AH; Scarascia Mugnozza G; Moshelion M; Tuskan GA; Keurentjes JJB; Altman A
    Trends Biotechnol; 2019 Nov; 37(11):1217-1235. PubMed ID: 31235329
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Root phenotyping: from component trait in the lab to breeding.
    Kuijken RC; van Eeuwijk FA; Marcelis LF; Bouwmeester HJ
    J Exp Bot; 2015 Sep; 66(18):5389-401. PubMed ID: 26071534
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Towards recommendations for metadata and data handling in plant phenotyping.
    Krajewski P; Chen D; Ćwiek H; van Dijk AD; Fiorani F; Kersey P; Klukas C; Lange M; Markiewicz A; Nap JP; van Oeveren J; Pommier C; Scholz U; van Schriek M; Usadel B; Weise S
    J Exp Bot; 2015 Sep; 66(18):5417-27. PubMed ID: 26044092
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Plant phenomics and high-throughput phenotyping: accelerating rice functional genomics using multidisciplinary technologies.
    Yang W; Duan L; Chen G; Xiong L; Liu Q
    Curr Opin Plant Biol; 2013 May; 16(2):180-7. PubMed ID: 23578473
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. 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]  

  • 17. [Development and application of the plant phenomics analysis platform].
    Hu WJ; Ling HQ; Fu XD
    Yi Chuan; 2019 Nov; 41(11):1060-1066. PubMed ID: 31735708
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Enzyme activity profiling for physiological phenotyping within functional phenomics: plant growth and stress responses.
    Jammer A; Akhtar SS; Amby DB; Pandey C; Mekureyaw MF; Bak F; Roth PM; Roitsch T
    J Exp Bot; 2022 Sep; 73(15):5170-5198. PubMed ID: 35675172
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Next generation breeding.
    Barabaschi D; Tondelli A; Desiderio F; Volante A; Vaccino P; Valè G; Cattivelli L
    Plant Sci; 2016 Jan; 242():3-13. PubMed ID: 26566820
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Translating High-Throughput Phenotyping into Genetic Gain.
    Araus JL; Kefauver SC; Zaman-Allah M; Olsen MS; Cairns JE
    Trends Plant Sci; 2018 May; 23(5):451-466. PubMed ID: 29555431
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.