• DocumentCode
    2283216
  • Title

    Assessment of the Role of initial conditions in the setting of heterogeneity of functional Traits in a population of oilseed rape plants

  • Author

    Mathieu, Alessandro ; Jullien, A. ; Ney, B. ; Allirand, J. ; Rui Qi

  • Author_Institution
    UMR EGC INRA, AgroParisTech, Thiverval-Grignon, France
  • fYear
    2012
  • fDate
    Oct. 31 2012-Nov. 3 2012
  • Firstpage
    278
  • Lastpage
    281
  • Abstract
    Individual plant models have been developed in recent years to satisfy different objectives. However most of them focus on average plant and do not integrate the variability observed in cultivated fields. Population scale models are often based on very simplified representation of the plant, and most of them remain theoretical. The objective of this work is to use an experimental design to select the main variables driving plant growth in order to use them as key factors in a plant population scale model. Destructive and non-destructive measurements were carried out from February to June. Measured variables are commonly used in such models. In our experimental conditions, local density has little impact on model outputs. On the contrary, the plant initial size is highly correlated to final height, dry mass and number of ramifications. This result confirms that variability within the field is very dependent on plant development at the first stages.
  • Keywords
    agriculture; crops; cultivated field; dry mass; functional trait; heterogeneity setting; local density; nondestructive measurement; oilseed rape plant population; plant development; plant final height; plant growth; plant initial size; plant model; plant population scale model; plant representation; ramification number; distribution; heterogeneity; oilseed rape; plant model; plant population;
  • 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.2012.6524846
  • Filename
    6524846