浙江农业学报2026，Vol.38Issue(5)：898-908,11.DOI:10.3969/j.issn.1004-1524.20250244
温室番茄生理生态分析与温度预测模型构建
Physiological and ecological analysis of greenhouse tomato and construction of temperature prediction model
摘要
Abstract
To investigate the relationship between environmental ecological factors and plant physiological ecology in modern greenhouse tomato production,temperature,solar radiation intensity,substrate parameters,and stemflow rate were monitored during winter,spring,and summer.Typical weather conditions were selected for analysis.The results showed that leaf temperature was similar to air temperature in winter,with a difference of only 0.5℃.At noon in spring and summer,leaf temperature was approximately 1.5℃lower than air temperature.The diurnal vari-ation of substrate temperature lagged behind that of air temperature,with a lag of 3 h in winter and spring and 1 h in summer.Moreover,the maximum substrate temperature in summer was about 2℃higher than air temperature.Sub-strate moisture content varied consistently with temperature,whereas substrate electrical conductivity varied inversely with moisture content in spring and summer.Stemflow rate was lower in winter and spring and higher in summer,with its diurnal variation primarily dependent on air temperature changes.Compared with sunny days,the diurnal variation amplitude of all parameters decreased significantly on rainy days but still maintained consistent trends with air tempera-ture and solar radiation intensity.Leaf temperature,substrate temperature,substrate moisture content,and stemflow rate were all significantly correlated with air temperature and solar radiation intensity at the statistical level of p<0.01,with correlation coefficients with air temperature exceeding 0.787.The segmented prediction models for leaf tempera-ture and substrate temperature,based on environmental factors and weather conditions,had root mean square errors(RMSE)below 1℃and coefficient of determination(R2)above 0.93.The accuracy of the prediction models was higher on rainy days.This study improves the understanding of greenhouse environmental factors and establishes pre-diction models for leaf and substrate temperatures,providing a theoretical basis for greenhouse environmental control.关键词
温室环境/叶片温度/基质温度/茎流/温度模型Key words
greenhouse environment/leaf temperature/substrate temperature/stemflow/temperature model分类
农业科技引用本文复制引用
张昊宇,苗辰,朱翠芳,朱凯丽,丁小涛,姜玉萍..温室番茄生理生态分析与温度预测模型构建[J].浙江农业学报,2026,38(5):898-908,11.基金项目
上海市农业农村委农业科技创新项目(2024-02-08-00-12-F00001) （2024-02-08-00-12-F00001）
