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首页> 外文期刊>Annals of Botany >Correlation between dynamic tomato fruit-set and source-sink ratio: a common relationship for different plant densities and seasons?
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Correlation between dynamic tomato fruit-set and source-sink ratio: a common relationship for different plant densities and seasons?

机译:动态番茄坐果与源库比的相关性:不同植物密度和季节的共同关系?

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Background and Aims It is widely accepted that fruit-set in plants is related to source-sink ratio. Despite its critical importance to yield, prediction of fruit-set remains an ongoing problem in crop models. Functional-structural plant models are potentially able to simulate organ-level plasticity of plants. To predict fruit-set, the quantitative link between source-sink ratio and fruit-set probability is analysed here via a functional-structural plant model, GreenLab.Methods Two experiments, each with four plant densities, were carried out in a solar greenhouse during two growth seasons (started in spring and autumn). Dynamic fruit-set probability was estimated by frequent observation on inflorescences. Source and sink parameter values were obtained by fitting GreenLab outputs for the biomass of plant parts (lamina, petiole, internode, fruit), at both organ and plant level, to corresponding destructive measurements at six dates from real plants. The dynamic source-sink ratio was calculated as the ratio between biomass production and plant demand (sum of all organ sink strength) per growth cycle, both being outputs of the model.Key Results and Conclusions Most sink parameters were stable over multiple planting densities and seasons. From planting, source-sink ratio increased in the vegetative stage and reached a peak after fruit-set commenced, followed by a decrease of leaf appearance rate. Fruit-set probability was correlated with the source-sink ratio after the appearance of flower buds. The relationship between fruit-set probability and the most correlated source-sink ratio could be quantified by a single regression line for both experiments. The current work paves the way to predicting dynamic fruit-set using a functional structure model.
机译:背景和目的植物的坐果率与源库​​比有关。尽管对产量至关重要,但是预测果实的定型仍然是作物模型中的一个持续问题。功能结构植物模型可能能够模拟植物的器官水平可塑性。为了预测坐果,我们通过功能结构植物模型GreenLab分析了源库比和坐果概率之间的定量联系。方法在日光温室中,进行了两个实验,每个实验具有四种植物密度。两个生长季节(从春季和秋季开始)。通过经常观察花序估计动态坐果概率。源和汇参数值是通过将GreenLab输出用于器官和植物水平的植物部分(叶片,叶柄,节间,果实)的生物量与来自真实植物的六个日期的相应破坏性测量值拟合而获得的。动态源库比计算为每个生长周期生物量产量与植物需求(所有器官库强度的总和)之比,均为模型的输出。关键结果和结论多数库参数在多种种植密度下均稳定。季节。从种植开始,营养阶段的源库比增加,并在坐果开始后达到峰值,随后叶片出现率下降。出现花芽后,坐果概率与源库比相关。在两个实验中,都可以通过一条回归线来量化坐果概率和最相关的源库比之间的关系。当前的工作为使用功能结构模型预测动态坐果铺平了道路。

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