• DocumentCode
    603628
  • Title

    Crop systems biology as an avenue to bridge applied crop science and fundamental plant biology

  • Author

    Xinyou Yin ; Struik, P.C.

  • Author_Institution
    Dept. of Plant Sci., Wageningen Univ., Wageningen, Netherlands
  • fYear
    2012
  • fDate
    Oct. 31 2012-Nov. 3 2012
  • Firstpage
    15
  • Lastpage
    17
  • Abstract
    Plant biologists, agronomists and breeders alike have been constantly facing challenges in narrowing genotype-phenotype gaps. Plant systems biology, as first recognized, seems to target those phenotypes at molecular, sub-cellular, or cellular levels. To emphasize the importance of bridging this gap for understanding and directionally modifying phenotypes relevant to the real-world challenges for agriculture, the concept `crop systems biology´ seems more appropriate. This new concept acknowledges the complementarity of the roles of modern plant biology, traditional crop physiology and advanced crop modelling in improving yield and resource use efficiencies of major crops. As a first step, biochemical modules of photosynthesis and molecular marker-based quantitative trait locus information were incorporated into existing crop models. These case studies underline that current modelling shows promise in studying complex crop traits. For further progress, crop models should be upgraded based on understandings of complicated phenomena at lower organizational levels. We expect that this crop systems biology approach will ultimately be instrumental in realizing the expected roles of in silico modelling in narrowing genotype-crop phenotype gaps, and in understanding genotype-by-environment interactions at crop level.
  • Keywords
    agriculture; biochemistry; biotechnology; botany; cellular biophysics; crops; photosynthesis; agriculture; agronomist; biochemical module; breeder; crop modelling; crop physiology; crop science; crop systems biology; crop trait; genotype-by-environment interaction; genotype-phenotype gap; molecular level; molecular marker-based quantitative trait locus information; organizational level; photosynthesis; plant biology; plant systems biology; subcellular level; complex traits; crop physiology; genotype-phenotype relationships; modelling; systems biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Plant Growth Modeling, Simulation, Visualization and Applications (PMA), 2012 IEEE Fourth International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0067-4
  • Type

    conf

  • DOI
    10.1109/PMA.2012.6524806
  • Filename
    6524806