王 新,刁 明,马富裕,樊 华,崔 静,何海兵.滴灌加工番茄叶面积、干物质生产与积累模拟模型[J].农业机械学报,2014,45(2):161-168.
Wang Xin,Diao Ming,Ma Fuyu,Fan Hua,Cui Jing,He Haibing.Simulation of Leaf Area, Dry Matter Production and Accumulation of Processing Tomato with Drip Irrigation[J].Transactions of the Chinese Society for Agricultural Machinery,2014,45(2):161-168.
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滴灌加工番茄叶面积、干物质生产与积累模拟模型   [下载全文]
Simulation of Leaf Area, Dry Matter Production and Accumulation of Processing Tomato with Drip Irrigation   [Download Pdf][in English]
投稿时间:2013-09-12  
DOI:10.6041/j.issn.1000-1298.2014.02.027
中文关键词:  加工番茄 滴灌 干物质生产 积累 模拟模型
基金项目:高等学校博士学科点专项科研资金资助项目(20096518110002)、石河子大学高层次人才资助项目(RCSX200904)和兵团农业科技攻关资助项目(2011BA009)
作者单位
王 新 石河子大学 
刁 明 石河子大学,新疆生产建设兵团绿洲生态农业重点实验室 
马富裕 石河子大学,新疆生产建设兵团绿洲生态农业重点实验室 
樊 华 石河子大学 
崔 静 石河子大学 
何海兵 石河子大学 
中文摘要:以生理发育时间为时间尺度,建立了基于生理发育时间(PDT)的加工番茄叶面积指数 (LAI)、比叶面积 (SLA)模拟模型,并将叶面积指数模型与基于生理生态过程的光合作用和干物质生产模型相结合,构建了滴灌加工番茄干物质生产与积累的模拟模型。结果表明:PDT法对加工番茄叶面积指数(LAI)与1〖DK〗∶1直线间的决定系数R2、根均方差(RMSE)和模型效率指数(ME)分别为0.926 5、12.87%、0.972 4;SLA法模拟叶面积指数的预测结果与1∶1直线间的R2、RMSE和ME分别为0.675 8、42.24%、0.712 4。本模型对加工番茄地上部干物质量的预测结果与1〖DK〗∶1直线间的R2、RMSE和ME分别为0.990 3、11.91%、0.990 1;而SLA法对加工番茄地上部干物质量的预测结果与1∶1直线间的R2、RMSE和ME分别为0.895 6、31.29%、0.750 4。与SLA法相比,PDT法在改善加工番茄叶面积指数预测精度的同时亦提高了干物质量的预测精度。
Wang Xin  Diao Ming  Ma Fuyu  Fan Hua  Cui Jing  He Haibing
Shihezi University;Shihezi University;The Key Laboratory of Oasis Ecology Agricultural, Xinjiang Production and Construction Group;Shihezi University;The Key Laboratory of Oasis Ecology Agricultural, Xinjiang Production and Construction Group;Shihezi University;Shihezi University;Shihezi University
Key Words:Processing tomato Drip irrigation Dry matter production Accumulation Simulation model
Abstract:The leaf area index (LAI) and specific leaf area (SLA) simulation model of processing tomato with drip irrigation were developed based on the accumulated physiological development time after emergence (PDT). Then a simulation of leaf area, dry matter production and accumulation of processing tomato with drip irrigation was developed based on physiological and ecological processes of photosynthesis and dry matter production simulation model. The results showed that when using the model based on PDT, the coefficient of determination (R2), root mean squared error (RMSE) and modelling efficiency indexes (ME) between simulated and measured leaf area index based on the 1∶1 line were 0.926 5, 12.87% and 0.972 4, respectively. However, when using the model based on SLA, the R2, RMSE and ME between simulated and measured LAI based on the 1∶1 line were 0.675 8, 42.24%, and 0.712 4, respectively. When using the model based on PDT, the R2, RMSE and ME between simulated and measured aboveground dry matter weight based on the 1∶1 line were 0.990 3, 11.91% and 0.990 1, respectively. However, when using the model based on SLA, the R2, RMSE and ME between simulated and measured aboveground dry matter weight based on the 1∶1 line were 0.895 6, 31.29% and 0.750 4, respectively. Compared with the SLA method, PDT method to improve the processing tomato leaf area index prediction accuracy while also improving the prediction accuracy of the aboveground dry matter weight.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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