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Modelling indeterminate development, dry matter partitioning and the effect of nitrogen supply in tomato with the generic STICS crop-soil model

机译:使用通用STICS作物-土壤模型对番茄的不确定发育,干物质分配和氮素供应效应进行建模

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In crop models, yield depends on complex interactions between biomass production, crop development and assimilate partitioning, particularly with crop species exhibiting indeterminate patterns of development and submitted to limiting soil resources. The present study aimed at: (i) evaluating the adaptability of the STICS model based on the boxcartrain approach for the simulation of the fruit development and growth of tomato cultivars with different growth habits and (ii) evaluating the hypothesis that both carbon and nitrogen limitations alter fruit setting. Four experiments were carried out to test the model, one on a vine type tomato cultivar grown in a greenhouse and three on bush type tomato cultivars grown in open field, at the experimental station Panguilemo that belongs to Talca University in Chile. Total dry matter, nitrogen uptake, leaf area index and fruit number were satisfactorily simulated (model efficiency (EF) >82%), whereas the fruit dry matter production was predicted with a lower precision (EF=63%). The simulations showed that the indeterminate growth features incorporated in the STICS model were appropriate to simulate the crop growth and development for both the vine and bush types of tomato cultivars. Introducing a stress nitrogen index in the algorithm to calculate fruit set improved the quality of prediction of the fruit number
机译:在作物模型中,产量取决于生物量生产,作物发育和同化分配之间的复杂相互作用,特别是对于表现出不确定的发育模式并限制土壤资源的作物物种而言。本研究旨在:(i)基于盒式运输方法评估STICS模型的适应性,以模拟具有不同生长习惯的番茄品种的果实发育和生长,以及(ii)评估碳和氮限制的假说更改水果设置。在智利塔尔卡大学的Panguilemo实验站,进行了四个实验来测试该模型,一个在温室中种植的葡萄型番茄品种,另一个在空地中种植的灌木型番茄品种,三个实验。令人满意地模拟了总干物质,氮的吸收,叶面积指数和果实数(模型效率(EF)> 82%),而预测的果实干物质产量则精度较低(EF = 63%)。模拟表明,纳入STICS模型的不确定的生长特征适用于模拟番茄品种的藤蔓和灌木丛的作物生长和发育。在算法中引入胁迫氮指数来计算坐果率,提高了预测果实数的质量

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