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温室甜椒生长与产量预测模型 被引量:14

Model for simulation of growth and yield of greenhouse sweet pepper
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摘要 基于光温的作物生长模拟模型是进行温室作物和环境优化调控的有力工具。通过不同品种、不同生态地点的温室播期试验,定量分析辐射和温度对甜椒干物质分配和果实采收指数的影响,以及果实干物质量增长和鲜质量增长的关系,建立以辐热积为预测指标的甜椒干物质分配模型,并将其与光合作用驱动的干物质生产模型以及果实干物质量增长和鲜质量增长的定量关系相结合,建立温室甜椒生长动态与产量预测模型。利用与建模相独立的试验资料对模型进行检验,结果表明,模型对Venlo型连栋温室和日光温室中种植的不同品种甜椒的干物质生产与分配和产量的预测结果较好,建立的模型参数少且易获取,实用性较强,可以为中国温室甜椒生产中光温的管理提供决策支持。 Crop growth simulation models are useful tools in optimizing greenhouse crop and climate management. In order to quantify the effects of radiation and temperature on greenhouse sweet pepper (Capsicum annuum L.) growth and yield, experiments with 2 cultivars and different sowing dates were conducted in a multi-span Venlo-type plastic greenhouse located in Shanghai and a Chinese traditional solar greenhouse located in Shi He Zi, Xingqiang, China. The product of thermal effectiveness and PAR (TEP) was used as the predicting index, and the effects of radiation and temperature on dry matter partitioning and fruit harvest index were quantified based on the experimental data. And the relationship between dry weight and fresh weight of the fruits was derived according to the experimental data. A model for greenhouse sweet pepper growth and yield simulation was developed by integrating those quantitative relationships with a general photosynthesis driven biomass production model. Independent experimental data were used to validate the model. The results show that the model developed in this study gives satisfactory predictions of the growth and yield of sweet pepper grown in both the multi-span Venlo-type greenhouse and the solar greenhouse. The model developed in this study can be used for light and temperature management for greenhouse sweet pepper production.
出处 《农业工程学报》 EI CAS CSCD 北大核心 2009年第10期241-246,共6页 Transactions of the Chinese Society of Agricultural Engineering
基金 国家自然科学基金项目(30771262) 国家"十一.五"863计划项目(2006AA10Z218) 江苏省自然科学基金重点项目(BK2007720)
关键词 模型 温室 生长 甜椒 干物质生产 干物质分配 models greenhouses growth sweet pepper biomass production dry matter partitioning
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参考文献19

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二级参考文献56

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