温光环境因子对芋头幼苗生长时间的影响及预测模型的建立  

Effects of Temperature and Light Environmental Factors on the Growth Time of Taro Seedlings and the Establishment of Prediction Model

作　　者：李俊颖 闫征南 胡清山 徐子健 林多[1] 杨延杰[1] LI Junying;YAN Zhengnan;HU Qingshan;XU Zijian;LIN Duo;YANG Yanjie(College of Horticulture,Qingdao Agricultural University,Qingdao 266109,China)

机构地区：[1]青岛农业大学园艺学院,山东青岛266109

出　　处：《青岛农业大学学报(自然科学版)》2025年第1期14-19,共6页Journal of Qingdao Agricultural University(Natural Science)

基　　金：山东省农业良种工程项目(2022LZGC024);青岛市科技惠民示范引导项目(21-1-4-ny-6-nsh);山东省蔬菜产业技术体系项目(SDAIT-05)。

摘　　要：为探究芋头(Colocasia esculenta)幼苗生长时间与温室内温光环境因子之间的关系,在不同环境下育苗,计算温光环境指标,利用相关、回归和通径分析,利用温光环境因子建立芋头幼苗生长时间的预测模型。结果表明:在日平均昼夜温差(T_(td))为4~26℃,日平均温度(T_(ave))为11~27℃,日平均光强(L_(ave))为230~720μmol·m^(-2)·s^(-1)范围内,减小T_(td)可缩短出苗时间;较高的T_(ave)和L_(ave)有利于缩短成苗时间。以L_(ave)、T_(ave)和T_(td)作为芋头幼苗生长时间预测模型的关键指标,得到出苗时间预测模型为D_(e)=3.3503+0.0648 T_(td)^(2),成苗时间预测模型为D_(s)=38.5834-0.0016 T_(ave)×L_(ave),相关系数分别为0.9819和0.9994。该模型可以用来预测不同温光环境下芋头幼苗的出苗时间和成苗时间,为育苗播种期的确定提供指导。In order to explore the relationship between the growth time of taro(Colocasia esculenta)seedlings and the environment factors of temperature and light in greenhouse,the taro seedlings were raised in different environments,and the temperature and light environment indexes were calculated.Using correlation,regression and path analysis,the prediction models of taro seedling growth time were established by using temperature and light environmental factors.The results showed that when the daily average temperature difference between day and night(T_(td))was 4-26℃,the daily average temperature(T_(ave))was 11-27℃,and the daily average light intensity(L_(ave))was 230-720μmol·m^(-2)·s^(-1),reducing T_(td)shortened the seedling emergence time.The higher T ave and L ave were conducive to shorten seedling time.The L_(ave),T_(ave)and T_(td)were used as the key indicators of the growth time prediction model of taro seedlings.The prediction model of emergence time was D_(e)=3.3503+0.0648 T_(td)2,the prediction model of seedling time was D_(s)=38.5834-0.0016 T_(ave)×L_(ave),and the correlation coefficients were 0.9819 and 0.9994,respectively.The models can be used to predict the emergence time and seedling time of taro seedlings under different temperature and light environments,providing guidance for determining the seedling sowing date.

关 键 词：芋头 育苗 温度 光照 预测模型 

分 类 号：S649[农业科学—蔬菜学]