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首页> 外文会议>International Symposium on Plant Growth Modeling, Simulation, Visualization and their Applications; 20031013-20031016; Beijing; CN >Invited Talk. A Photosynthesis-driven Tomato Model: Two Case Studies
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Invited Talk. A Photosynthesis-driven Tomato Model: Two Case Studies

机译：邀请谈话。光合作用驱动的番茄模型：两个案例研究

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摘要

A photosynthesis-driven model for potential crop growth and yield in tomato, TOMSIM, was used in two case studies: (1) determination of the number of fruits per truss that results in maximum fruit yield for different greenhouse climatic conditions, cultivation practices and crop characteristics, and (2) studying the effect of salinity stress on optimum fruit number for maximum yield. Crop growth rate is simulated as daily crop gross assimilation rate minus maintenance respiration rate, multiplied by a conversion factor for assimilates to dry mass. Dry matter distribution is simulated based on the sink strength (demand for assimilates) of the plant organs, which is quantified by their potential growth rate, relative to the total sink strength of all sinks together. Within the plant, individual fruit trusses and vegetative units (three leaves and stem internodes between two trusses) are distinguished. Leaf area is simulated, based on simulated leaf dry mass and specific leaf area (SLA). SLA depends on the day of the year, being lowest in summer. Number of fruits per truss is an input to the model, hence, flower and/or fruit abortion is not simulated. Fruit yield is expected to show an optimum response to fruit load, as a higher fruit load increases partitioning to the fruit, possibly at the expense of total crop growth, because of reduced leaf area index (LAI). Optimum fruit number per truss was lower at reduced global radiation level, when no CO_2-enrichment was applied, with earlier leaf picking, reduced SLA and larger potential fruit size. Salinity stress was implemented in the model as a reduction in SLA with increased salinity. Yield was strongly reduced as LAI was reduced. Optimum fruit number per truss decreased linearly with increasing salinity. At higher salinity levels maintaining optimum fruit numbers (less than seven) resulted in a reduction in yield loss, compared to maintaining a fixed number of seven fruits per truss. The model enables to quantify the relations between fruit load, total dry mass production and fruit yield under different conditions. It can evaluate conditions that cannot be attained experimentally, which may be important in theoretical studies.
机译：在两个案例研究中使用了光合作用驱动的番茄潜在作物生长和产量模型，即TOMSIM：（1）确定每个桁架上的果实数量，从而在不同的温室气候条件，耕作方式和农作物下获得最大的果实产量（2）研究盐分胁迫对最佳果实数的影响，以实现最大产量。将作物生长速率模拟为每日作物总同化速率减去维持呼吸速率，再乘以同化物转化为干重的转换因子。基于植物器官的汇强度（对同化物的需求）来模拟干物质分布，该强度由植物潜在的增长率相对于所有汇合在一起的总汇强度来量化。在植物中，区分出单个的水果桁架和营养单元（两个桁架之间的三片叶子和茎间节）。根据模拟的叶片干燥质量和比叶面积（SLA）对叶面积进行模拟。 SLA取决于一年中的哪一天，夏季最低。每个桁架上的水果数量是模型的输入，因此，不会模拟花朵和/或水果的流产。由于较高的果实载量增加了对果实的分配，预计果实产量将表现出对果实载量的最佳响应，这可能是由于降低了叶面积指数（LAI）而以作物总生长为代价。当未施加CO_2-富集时，在降低全球辐射水平下，每个桁架的最佳果实数较低，而且叶片采摘较早，SLA降低且潜在果实尺寸更大。在该模型中实现了盐度压力，因为盐度增加导致SLA降低。随着LAI的减少，产量大大降低。每个桁架的最佳果实数随盐度的增加呈线性下降。在较高的盐度水平下，与保持每个桁架中固定的七个水果数量相比，保持最佳的水果数量（小于七个）可减少产量损失。该模型能够量化在不同条件下水果负荷，总干重产量和水果产量之间的关系。它可以评估无法通过实验获得的条件，这在理论研究中可能很重要。

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