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国内南方设施塑料大棚内水培生菜生长模型研究

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  • NETL
  • NSTL
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为优化南方地区设施塑料大棚内水培生菜数字化生产管理措施，于2021年11月—2022年2月以'意大利生菜'为供试材料，在广东省农业气象试验站设施大棚内分批开展水培种植试验，测定大棚环境指标和生菜生长数据，分别以有效积温(EAT)和累积辐热积(TEP)2个农业气象指标构建模型预测水培生菜生长指标，使用试验采样数据对模型做检验。结果表明:(1)用EAT构建模型预测水培生菜叶片数、单株叶面积、叶片鲜重和叶片干重，预测值与实测值决定系数依次为0。911、0。963、0。948和0。934，均方根误差依次为3。194片、398。298 cm2、26。488 g和1。934g。(2)基于TEP构建模型预测值与实测值决定系数依次为 0。940、0。972、0。965 和0。956，均方根误差分别为 1。260 片、170。672 cm2、9。261 g和0。464 g。从总体上看，南方设施塑料大棚内构建水培生菜生长模型TEP模型优于EAT模型，TEP模型预测值与实测值拟合精度更高。
Research on Growth Model for Hydroponic Lettuce in Facility Plastic Greenhouse in Southern China
In order to optimize the digital production management measures of hydroponic lettuce in facility plastic greenhouse in southern China,the hydroponic planting experiments on'Italian lettuce'were conducted in facility plastic greenhouse of Guangdong Agro-meteorological Experimental Station from November 2021 to February 2022.Models for predicting hydroponic lettuce growth index based on two agro-meteorological indicators of effective accumulated temperature(EAT)and product of thermal effectiveness and PAR(TEP)were used to determine greenhouse environmental elements and lettuce growth data,and the models were validated by independent experimental sampling data.The results showed that,(1)the determination coefficients(R2)of the predicted and measured values of leaf number,leaf area,leaf fresh and dry weight based on the EAT model were as follows:0.911,0.963,0.948 and 0.934,the root mean square errors were 3.194 pieces,398.298 cm2,26.488 g and 1.934 g.(2)The R2 of the predicted and measured values of the model based on the TEP indicator were 0.940,0.972,0.965 and 0.956,the root mean square errors were 1.260 pieces,170.672 cm2,9.261 g and 0.464 g,respectively.This study suggests that the TEP model is superior to EAT model in general,and the fitting accuracy of TEP model between the predicted value and the measured value is better than EAT model in facility plastic greenhouse of southern China.

hydroponic lettuceplastic greenhouseTEPEATmodel

朱怀卫、何博翰、郑泽华、王广伦、梁欢庆

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广东省生态气象中心,广州 510640

上海市青浦区气象局,上海 201700

广东省农业气象试验站,广东佛山 528225

广东海洋大学海洋与气象学院,广东湛江 524088

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水培生菜 塑料大棚 累积辐热积 有效积温 模型

广东省气象局科学技术研究重点项目广东省气象局科学技术研究项目青年基金广东省气象局科学技术研究项目青年基金广东省生态气象中心科学技术研究项目广东省生态气象中心科学技术研究项目上海市气象局"青年启航计划"配套经费项目

GRMC2021Z05GRMC2020Q06GRMC2021Q08STZX2150400004STZX215040005

2024

中国农学通报
中国农学会

中国农学通报

CSTPCD
影响因子：0.891
ISSN：1000-6850
年,卷(期)：2024.40(16)
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