Dry matter partitioning in tomato: Validation of a dynamic simulation model
Dry matter partitioning in tomato: Validation of a dynamic simulation model
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DOI：
10.1006/anbo.1996.0009
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发表时间：
1996-01-01
期刊：
影响因子：
4.2
通讯作者：
Heuvelink, E
中科院分区：
文献类型：
--
作者：
Heuvelink, E
验证了温室番茄干物质在生殖器官和营养器官之间以及各果架间分配的动态模拟模型。该模型是作物生长模型TOMSIM的一部分，并基于这样的假设，即干物质的分配由植物器官的库强度调节，库强度由植物器官的潜在生长速率来量化，即非限制同化物供应时的生长速率。在植物内部，单个果架被区分开来，并且架的下沉强度被描述为其发育阶段的函数。桁架的发展速度只是温度的函数。所有的桁架都采用相同的潜在生长曲线，与每个桁架的果实数量成正比。在该模型的一个简单版本中，营养植物部分被集中在一起，作为一个具有恒定下沉强度的下沉。在一个更详细的版本中，营养体汇强度是由营养单元(两个桁架之间的三片叶子和茎节间)的汇强度之和来计算的。该模型在6个温室试验中得到了验证，这些试验涵盖了种植日期、种植密度、每个桁架的果实数(开花期修剪)、拆除桁架(开花期每隔一秒移除一次桁架)、单枝和双枝植物以及在17、20或23摄氏度的气候室内进行的温度试验。地上干重的每日增加、平均日气温和每个桁架的座果数都被输入到该模型中。无论是简单的模型还是更详细的模型都表明，在石灰上分配到果实中的干物质的测量部分与模拟部分具有很好的一致性。对于简单版本的模型，模拟的与被划分为水果(16个数据集)的测量分数相关的直线的斜率在0.92到1.11之间变化，平均为1.04，这意味着这个分数被高估了4%。对于详细的模型，这些数字略好一些：分别为0.89、1.08和1.01。温度试验表明，温度对生殖库强与营养库强之比没有重要的直接影响。模拟的桁架生长曲线与测量结果符合得很好，尽管两个模型都高估了植物下部桁架(1-3号桁架)的最终干重(平均为17%)。基于器官汇强度的干物质分配建模是一种很有前途的方法，因为它是一种通用、动态和灵活的方法，在一系列条件下的测量和模拟之间显示出良好的一致性。然而，只要不模拟每个果架(花和/或果实败育)的果实数量，该模型的适用性仍然有限，因为这是植物生长的主要反馈机制。(C)1996年植物学公司年鉴
A model for dynamic simulation of dry matter distribution between reproductive and vegetative plant parts and the distribution among individual fruit trusses in glasshouse tomato, is validated. The model is part of the crop growth model TOMSIM and is based on the hypothesis that dry matter distribution is regulated by the sink strengths of the plant organs, quantified by their potential growth rates, i.e. the growth rates at non-limiting assimilate supply. Within the plant, individual fruit trusses are distinguished and sink strength of a truss is described as a function of its development stage. Truss development rate is a function of temperature only. The same potential growth curve, proportional to the number of fruits per truss, is adopted for all trusses. In a simple version of the model, vegetative plant parts are lumped together as one sink with a constant sink strength. In a more detailed version, vegetative sink strength is calculated as the sum of sink strengths of vegetative units (three leaves and stem internodes between two trusses).The model was validated for six glasshouse experiments, covering effects of planting date, plant density, number of fruits per truss (pruning at anthesis), truss removal (every second truss removed at anthesis), single- and double-shoot plants and a temperature experiment conducted in climate rooms at 17, 20 or 23 degrees C. Daily increase in aboveground dry weight, average daily temperatures and number of set fruits per truss were inputs to the model. Both the simple and the more detailed model showed good agreement between measured and simulated fraction of dry matter partitioned into the fruits over lime. For the simple version of the model, the slope of the lines relating simulated to measured fraction partitioned into the fruits (16 data sets), varied between 0.92 and 1.11, on average it was 1.04, implying 4% over-estimation for this fraction. For the detailed model these numbers were slightly better: 0.89, 1.08 and 1.01, respectively. The temperature experiment revealed no important direct influence of temperature on the ratio between generative and vegetative sink strength. Simulated truss growth curves showed reasonable agreement with the measurements, although both models over-estimated (17% on average) final dry weight of the lower trusses (truss 1-3) on a plant. Modelling dry matter partitioning based on sink strengths of organs is promising, as it is a general, dynamic and flexible approach, showing good agreement between measurements and simulation for a range of conditions. Applicability of the model is, however, still limited as long as the number of fruits per truss (flower and/or fruit abortion) is not simulated, as this is a major feedback mechanism in plant growth. (C) 1996 Annals of Botany Company