首页> 外文会议>2016 IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications >Modeling bi-directional signals in complex branching structure: Application to the control of floral induction in apple trees
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Modeling bi-directional signals in complex branching structure: Application to the control of floral induction in apple trees

机译:复杂分支结构中的双向信号建模:在苹果树花诱导控制中的应用

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Flowering is a key process that determines yield in fruit trees, and a negative relationship between crop load and floral induction has been observed in many species. In apple tree, hormonal signals coming from seeds, which are assumed to be transported within the tree, are suspected to inhibit floral induction. To analyze the intertwined effects of tree architecture, crop load and inhibitory signal on floral induction we developed a generic model based on the L-system formalism. The model simulates both the basipetal and acropetal flux of the signal as well as its partitioning at each branching point and between successive metamers. First simulations on apple tree, using architectures generated by the MappleT model, showed that the model was able to reproduce well-known results of the literature, such as the variability in floral induction rate according to shoot length and type, and to reproduce experimental observations of the impact of crop load on floral induction. Moreover, the model also has the ability to simulate contrasted behavior in term of flowering patterns at the branch scale that could be related to genotypic characteristics. Although new experiments are needed to fully calibrate the model, it gives insights into interactions between plant development, architecture and floral induction that could be useful in the future for plant breeders and growers to adjust thinning intensity.
机译:开花是决定果树产量的关键过程,在许多物种中都观察到作物负荷与花诱导之间的负相关关系。在苹果树中,怀疑来自种子的荷尔蒙信号被假定在树内运输,被怀疑抑制花诱导。为了分析树木结构,作物负荷和抑制信号对花卉诱导的相互影响,我们开发了基于L系统形式主义的通用模型。该模型可模拟信号的基础通量和上肢通量,以及在每个分支点和连续的同分异构体之间的信号分配。使用MappleT模型生成的体系结构对苹果树进行的首次模拟表明,该模型能够重现文献的众所周知的结果,例如随枝长和类型而变化的花诱导率,以及重现实验观察结果。作物负荷对花诱导的影响此外,该模型还具有在可能与基因型特征相关的分支尺度上的开花模式上模拟相反行为的能力。尽管需要进行新的实验来完全校准模型,但它可以深入了解植物发育,构筑物和花诱导之间的相互作用,这可能在将来对植物育种者和种植者调整间伐强度有用。

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