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防虫网覆盖塑料大棚小白菜采收期与产量预测模型 被引量:8

Prediction model for harvest date and yield of Brassica chinensis L.in plastic tunnels covered with insect-proof screens
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摘要 为准确预测防虫网覆盖塑料大棚栽培小白菜的采收期和产量,本研究通过不同品种、播期试验,定量分析了出叶速率、单叶伸长速率与温度和辐射的关系,建立了基于辐热积的小白菜叶面积预测模型,并将该模型与通用的光合作用与干物质生产模型相结合,建立了防虫网覆盖塑料大棚栽培小白菜采收期与产量预测模型。并用与建立模型相独立的试验资料对模型进行检验,结果表明,对小白菜展开叶数、叶长、叶面积指数、采收期、产量的预测与实测值之间基于1︰1直线的决定系数(R2)分别达到0.93、0.95、0.97、0.91、0.97,相对预测误差(RE)分别为10.9%、8.7%、11.4%、3.4%、12.5%。本模型预测精度较高,模型参数容易获取,具有较强的实用性。 The aim of this study was to predict the harvest date and yield of Brassica chinensis L.in plastic tunnels covered with insect-proof screens.A leaf area prediction model for Brassica chinensis L.was developed based on the relationship between leaf area per plant and the product of thermal effectiveness and photosythetically active radiation(TEP).Then a harvest date and yield prediction model was developed by integrating the conventional photosynthesis and dry matter production model and the leaf area model mentioned before.Experimental data of different varieties and sowing dates were used to validate the model.The results show that the determination coefficient(R 2)and the relative estimation error(RE)between the predicted and the measured number of unfolding leaves,individual leaf length,leaf area index harvest date and yield based on the 1︰1 line were 0.93,0.95,0.97,0.91,0.97 and 10.9%,8.7%,11.4%,3.4%、12.5%,respectively.The model developed in this study can give satisfactory predictions of harvest date and yield of Brassica chinensis L.in plastic tunnels covered with insect-proof screens and has strong practicality.Model parameters can be obtained easily.
出处 《农业工程学报》 EI CAS CSCD 北大核心 2008年第12期155-160,共6页 Transactions of the Chinese Society of Agricultural Engineering
基金 国家自然科学基金项目(30771262) 江苏省自然科学基金重点项目(BK2007720) 上海市科技兴农重点攻关项目(沪农科攻字(2005)第5-1号) 上海市气象局项目(2005M3,YJ200705)
关键词 防虫网 塑料大棚 叶长 产量预测 insect-proof screens,plastic tunnels,leaf length,yield prediction
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