Abstract
The objective of our work is to investigate the source-sink dynamics by applying the optimization methods to mathematical plant growth models. As a test case, maize is selected since it is one of the most widely cultivated cereals all over the world. An optimization problem with a single objective function on maximization of cob weight is investigated. The variables we optimized are specific parameters of the plant growth model related to plant genetics: cob sink variation. Promising observations can be obtained from the investigations. Firstly, the optimal results of our optimization problem revealed the dynamic interactions between sources and sinks. Secondly, the interaction between plant architecture and plant functioning is well established through optimization. Numerical study confirms that the proposed optimization approach could be a useful tool for genetic analysis and management control.
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© 2009 Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg
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Qi, R., Ma, YT., Hu, BG., de Reffye, P., Cournède, PH. (2009). New Approach for the Study of Source-Sink Dynamics on Maize. In: Cao, W., White, J.W., Wang, E. (eds) Crop Modeling and Decision Support. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01132-0_17
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DOI: https://doi.org/10.1007/978-3-642-01132-0_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01131-3
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