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PEACH:桃树生殖与营养生长的模拟模型

PEACH: A simulation model of reproductive and vegetative growth in peach trees.

作者信息

Grossman Y L, DeJong T M

机构信息

Department of Pomology, University of California, Davis, CA 95616, USA.

出版信息

Tree Physiol. 1994 Apr;14(4):329-45. doi: 10.1093/treephys/14.4.329.

DOI:10.1093/treephys/14.4.329
PMID:14967690
Abstract

The hypothesis that carbohydrate partitioning is driven by competition among individual plant organs, based on each organ's growth potential, was used to develop a simulation model of the carbon supply and demand for reproductive and vegetative growth in peach trees. In the model, photosynthetic carbon assimilation is simulated using daily minimum and maximum temperature and solar radiation as inputs. Carbohydrate is first partitioned to maintenance respiration, then to leaves, fruits, stems and branches, then to the trunk. Root activity is supported by residual carbohydrate after aboveground growth. Verification of the model was carried out with field data from trees that were thinned at different times. In general, the model predictions corresponded to field data for fruit and vegetative growth. The model predicted that resource availability limited fruit and stem growth during two periods of fruit growth, periods that had been identified in earlier experimental studies as resource-limited growth periods. The model also predicted that there were two periods of high carbohydrate availability for root activity. The fit between model predictions and field data supports the initial hypothesis that plants function as collections of semiautonomous, interacting organs that compete for resources based on their growth potentials.

摘要

基于各器官生长潜力,认为碳水化合物分配受单个植物器官间竞争驱动的假说,被用于构建一个桃树生殖生长和营养生长碳供求的模拟模型。在该模型中,以日最低和最高温度及太阳辐射作为输入参数来模拟光合碳同化。碳水化合物首先分配用于维持呼吸作用,然后分配给叶片、果实、茎和枝,接着分配给树干。地上部分生长后的剩余碳水化合物为根系活动提供支持。利用不同时间进行疏果处理的树木的田间数据对模型进行验证。总体而言,模型预测结果与果实和营养生长的田间数据相符。该模型预测,在果实生长的两个时期,资源可利用性限制了果实和茎的生长,这两个时期在早期实验研究中已被确定为资源受限生长时期。该模型还预测,有两个时期根系活动的碳水化合物可利用性较高。模型预测结果与田间数据之间的契合度支持了最初的假说,即植物如同相互作用的半自主器官的集合体,基于其生长潜力竞争资源。

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