生态学报2017，Vol.37Issue(13)：4356-4365,10.DOI:10.5846/stxb201601120080
风胁迫对三种叶菜的机械损伤及预测模型
Mechanical damage and prediction models of three leafy vegetables caused by wind
摘要
Abstract
Mechanical damage caused by wind may lead to economic loss in the production of leafy vegetables,especially during harvest time.Shanghaiqing,four-season Chinese cabbage,and glass lettuce are planted widely in the southeastern coast of China.However,the magnitude of the mechanical damage caused by wind is uncertain.In addition,the relationship between wind stress and mechanical damage to leaves has rarely been studied.To resolve these problems,three leafy vegetables were used to evaluate the mechanical effects of wind on plants through a simulated wind tunnel.During this experiment,these three species were subjected to ten treatments-a control treatment,three levels of wind speeds (5 m/s,15 m/s,25 m/s) and three different durations of wind exposure (5 min,10 min,15 min).To quantify the mechanical damage caused by wind,three detection methods-the conductivity,wound staining visual,and L value measurement methods-were used.Then,a comprehensive assessment method was proposed by evaluating the three detection methods and using them to assess the degree of mechanical damage.Moreover,a Gauss2D equation was used to establish a prediction model for mechanical damages caused by wind for the three species.The results showed that the relative conductivity,visual level,and L value were significantly affected by wind speed and stress time.The interaction of wind speed and stress time had significant effects on relative conductivity of Shanghaiqing and four-season Chinese cabbage,while having no significant effect on the relative conductivity of glass lettuce.The interaction of wind speed and stress time had significant effects on visual grade while having no significant effect on L values.Mechanical damage to the three leafy vegetables occurred mainly after being exposed to the 25 m/s and 15 m/s wind conditions,while the 5 m/s wind speed had little effect.For Shanghaiqing,four-season Chinese cabbage,and glass lettuce,the mechanical damage was most serious after exposure to the 25 m/s wind condition for 15 min.The relative conductivities were 214.70％,228.96％,266.92％ higher than the control;the visual levels were 2.3,2.4,and 3.6 higher than the control;L values were 21.17％,38.91％,and 42.73％ lower than the control,respectively.Among the three leafy vegetables,the glass lettuce was the most susceptible to wind damage according to a comprehensive evaluation of mechanical damage.This susceptibility may be due to the higher leaf water content and lower leaf cellulose content in glass lettuce.Mechanical damage under different wind speeds and wind stress times was fitted by a Gauss2D function.The higher R2(0.9552-0.9840) showed that these models fit the data well.The mechanical damage caused by wind can be predicted using these prediction models,which provide a reference for leafy vegetable crops,and provide early warning of mechanical damage from wind stress.关键词
风胁迫/机械损伤/叶菜/模型拟合/综合评价Key words
wind stress/mechanical damage/leafy vegetables/model fitting/comprehensive assessment引用本文复制引用
韩玮,岳云瑞..风胁迫对三种叶菜的机械损伤及预测模型[J].生态学报,2017,37(13):4356-4365,10.基金项目
江苏省高校自然科学研究面上项目(14KJB170013) （14KJB170013）
国家自然科学基金面上资助项目(41475107) （41475107）
江苏省科技支撑计划(BE2015693) （BE2015693）
