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Parametrization of five classical plant growth models applied to sugar beet and comparison of their predictive capacity on root yield and total biomass

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  • Baey, Charlotte
  • Didier, Anne
  • Lemaire, Sébastien
  • Maupas, Fabienne
  • Cournède, Paul-Henry

Abstract

A wide range of models have been proposed and developed for modelling sugar beet growth, each of them with different degrees of complexity and modelling assumptions. Many of them are used to predict crop production or yield, even when they were not originally designed for this purpose, and even though their predictive capacity has never been properly evaluated.

Suggested Citation

  • Baey, Charlotte & Didier, Anne & Lemaire, Sébastien & Maupas, Fabienne & Cournède, Paul-Henry, 2014. "Parametrization of five classical plant growth models applied to sugar beet and comparison of their predictive capacity on root yield and total biomass," Ecological Modelling, Elsevier, vol. 290(C), pages 11-20.
    • Handle: RePEc:eee:ecomod:v:290:y:2014:i:c:p:11-20
    DOI: 10.1016/j.ecolmodel.2013.11.003
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    References listed on IDEAS

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    1. Wu, Qiong-Li & Cournède, Paul-Henry & Mathieu, Amélie, 2012. "An efficient computational method for global sensitivity analysis and its application to tree growth modelling," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 35-43.
    2. Baey, Charlotte & Didier, Anne & Lemaire, Sébastien & Maupas, Fabienne & Cournède, Paul-Henry, 2013. "Modelling the interindividual variability of organogenesis in sugar beet populations using a hierarchical segmented model," Ecological Modelling, Elsevier, vol. 263(C), pages 56-63.
    3. Cariboni, J. & Gatelli, D. & Liska, R. & Saltelli, A., 2007. "The role of sensitivity analysis in ecological modelling," Ecological Modelling, Elsevier, vol. 203(1), pages 167-182.
    4. Mailhol, Jean Claude & Olufayo, Ayorinde A. & Ruelle, Pierre, 1997. "Sorghum and sunflower evapotranspiration and yield from simulated leaf area index," Agricultural Water Management, Elsevier, vol. 35(1-2), pages 167-182, December.
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    1. De Laporte, Aaron & Ripplinger, David, 2016. "The effects of opportunity costs, supply chain logistics and carbon balances on advanced biofuel production," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235852, Agricultural and Applied Economics Association.
    2. Anar, Mohammad J. & Lin, Zhulu & Hoogenboom, Gerrit & Shelia, Vakhtang & Batchelor, William D. & Teboh, Jasper M. & Ostlie, Michael & Schatz, Blaine G. & Khan, Mohamed, 2019. "Modeling growth, development and yield of Sugarbeet using DSSAT," Agricultural Systems, Elsevier, vol. 169(C), pages 58-70.
    3. Khaembah, E.N. & Brown, H.E. & Zyskowski, R. & Chakwizira, E. & de Ruiter, J.M. & Teixeira, E.I., 2017. "Development of a fodder beet potential yield model in the next generation APSIM," Agricultural Systems, Elsevier, vol. 158(C), pages 23-38.
    4. Hamidreza Kamali & Shahrokh Zand-Parsa, 2017. "Estimation of Sugar Beet Yield and its Dry Matter Partitioning Under Different Irrigation and Nitrogen Levels," Modern Applied Science, Canadian Center of Science and Education, vol. 11(1), pages 143-143, September.
    5. De Laporte, Aaron V. & Ripplinger, David G., 2019. "The effects of site selection, opportunity costs and transportation costs on bioethanol production," Renewable Energy, Elsevier, vol. 131(C), pages 73-82.

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