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基于辐热积的日光温室不同茬次袋培番茄干物质模型比较
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引用本文:王丹丹,吕振宁,李 坚,马金明,孙周平.基于辐热积的日光温室不同茬次袋培番茄干物质模型比较[J].西北农业学报,2018,27(2):238~243
DOI:10.7606/j.issn.1004-1389.2018.02.011
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作者单位
王丹丹,吕振宁,李 坚,马金明,孙周平 (1.设施园艺省部共建教育部重点实验室沈阳 1108662.环渤海湾地区设施蔬菜优质高效生产协同创新中心沈阳 1108663.沈阳农业大学 园艺学院沈阳 1108664.江苏绿巷现代农业发展有限公司江苏宿迁 223800) 
基金项目:“十三五”国家重点研发计划(2016YFD0201004)。
中文摘要:为了探究东北地区日光温室基质袋培番茄干物质生产及分配与温室环境辐热积关系,在番茄全生育期建立并比较基于辐热积的冬春茬与秋冬茬番茄干物质生产模型。结果表明,利用累积辐热积与干物质总量得到的拟合模型模拟效果较好,其冬春茬和秋冬茬单株绝对误差分别为5.12 g和9.67 g,单株剩余标准误差分别为9.46 g和15.02 g,决定系数分别为0.98和0.96,说明冬春茬的模型模拟效果优于秋冬茬。通过累积辐热积与干物质总量模型及干物质分配关系,比较模拟累积辐热积对番茄根、茎、叶、果干物质分配影响的结果表明,2个茬次的番茄叶片和果实的分配指数变化趋势明显不同,而茎和根的分配指数变化趋势比较一致和稳定。
中文关键词:番茄  累积辐热积  干物质生产  分配指数  模拟模型
 
Comparison of Dry Matter Partitioning Model of Tomato Cultivated with Growth-bag during Different Growing Seasons Based on Product of Thermal Effectiveness and Photosynthesis Active Radiation in Solar Greenhouse
Abstract:To explore the relationship between dry matter production and product of thermal effectiveness(TEP) and photosynthesis active radiation of greenhouse environment in northeast China,we established and compared dry matter production models of tomato based on the product of thermal effectiveness and photosynthesis active radiation during winter-spring and autumn-winter growing seasons.The results showed that the fitted model simulating TEP and total dry matter obtained good results,the mean absolute error was 5.12 g and 9.67 g per plant,respectively; root mean square error was 9.46 g and 15.02 g per plant,respectively; and the determination coefficient was 0.98 and 0.96,respectively,which inferred that the winter-spring model was better than the autumn-winter model.Using two established models,we compared the effect of TEP on distribution of dry matter among root,stem,leaf and fruit of tomato.The results showed that there were different trends in the partitioning indexes of leaf and fruit between the two growing seasons,however,the trends of stem and root partitioning indexes were more consistent and stable.
keywords:Tomato  Product of thermal effectivenes and PAR(TEP)  Dry matter production  Partitioning index  Simulation model
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