基于光温效应的温室小白菜农艺指标动态模拟  

Light and Temperature Effects on Agronomic Indices of Brassica chinensis L.in a Simulated Greenhouse Test

作　　者：蔡淑芳[1] 吴宝意 廖水兰 刘现[1] 雷锦桂[1] CAI Shufang;WU Baoyi;LIAO Shuilan;LIU Xian;LEI Jingui(Institute of Digital Agriculture,Fujian Academy of Agriculture Sciences,Fuzhou,Fujian 350003,China)

机构地区：[1]福建省农业科学院数字农业研究所,福建福州350003

出　　处：《福建农业学报》2020年第6期611-617,共7页Fujian Journal of Agricultural Sciences

基　　金：福建省自然科学基金项目(2017J01045);福建省农业科学院项目(A2018-4,YDXM2019006,STIT2017-2-12)。

摘　　要：【目的】研究小白菜在温室环境下的农艺指标动态,揭示小白菜形态和产量形成过程。【方法】以耐热品种华冠小白菜为试材,在薄膜温室内开展水培试验。试验过程中,实时采集温室环境数据,并定期测定小白菜农艺指标。根据小白菜农艺指标与温度和光合有效辐射的关系,构建基于光温效应(LTF)的温室小白菜农艺指标动态模拟模型,并应用不同播期的试验数据对模型进行验证。【结果】结果表明,小白菜株高、叶数、叶面积、茎粗、根长、鲜重等农艺指标均随LTF的增加而增长,拟合方程可用S型生长曲线函数描述。LTF模型的预测效果优于辐热积(TEP)模型和积温(GDD)模型;其不仅改善了农艺指标的模拟精度,且拟合度较佳。各项农艺指标模拟值与实测值之间的决定系数(R2)为0.907~0.984;回归估计标准误差(RMSE)为0.540~34.393,相对误差(RE)为6.79%~12.66%,RMSE和RE分别为TEP、GDD模型的5.29%~59.98%、31.30%~96.23%。【结论】基于LTF的模型预测值与实测值吻合度较好,预测精度较高,可为温室小白菜生长模拟提供参考。【Objective】By studying changes on the agronomic properties of Brassica chinensis L.in response to the light and temperature conditions in a greenhouse,morphology and yield of the plant were investigated.【Method】A hydroponics experiment with a heat-resistant B.chinensis in a greenhouse was carried out.The environmental data were collected in real time,and the agronomic properties of the plants monitored continuously.Relationship between the plant agronomy and the greenhouse temperature and photosynthetically active radiation(or,the light and temperature function,LTF)was used to compare with other dynamic simulation models.【Result】The agronomic indices including plant height,leaf number,leaf area,stem diameter,root length,and fresh weight of B.chinensis increased with increasing LTF in a fitting equation of an sshaped function.Prediction by the LTF-based model was better than either TEP-or GDD-based model.The LTF model was not only more precise but also better fitted between the simulated and measured agronomic indices.It showed a R2 of 0.907-0.984,a RMSE of 0.540-34.393,and a RE of 6.79-12.66%,which were superior to the RMSE and RE of 5.29-59.98% and 31.30-96.23% for TEP and GDD models,respectively.【Conclusion】The LTF-based model was found to more accurately predict the growth and yield of B.chinensis than did the other models.

关 键 词：温室 小白菜 光温效应 农艺指标 模拟 

分 类 号：S634.3[农业科学—蔬菜学]