Dynamic Simulation of Leaf Development in Maize Inbred Lines Based on Effective Accumulated Temperature
To develop a dynamic prediction model and its characteristic parameters of leaf age,leaf length,leaf width,leaf area,and leaf dry matter of maize inbred lines based on effective accumulated temperature,this study aims to provide a theoretical technical support for quantitatively simulate the leaf development dynamics.Maize in-bred lines H025B and K4321 were used as experimental materials,and spring and summer sowing experiment was conducted in 2023.Linear model,Logistic model,and Exponential model were used to fit the dynamic equations of leaf age,leaf length,leaf width,leaf area,and leaf dry matter of maize inbred lines in spring and summer sowing based on effective accumulated temperature,the dynamic development characteristics of leaves of maize inbred lines in spring and summer sowing were quantitatively analyzed by using fitting curves and measured values.The re-sults showed that the Linear model,Logistic model,and Exponential model constructed based on effective accumu-lated temperature could accurately simulate the leaf age growth process,and the coefficients of determination(R2)were all above 0.97.The correlation analysis showed that there were a positive correlation between leaf age,leaf length,leaf width,leaf area,and leaf dry matter of spring and summer maize inbred lines H025B and K4321 and ef-fective accumulated temperature,with extremely significant correlation level.The overall correlation degree was as follows:leaf age＞leaf width＞leaf length＞leaf area＞leaf dry matter.
MaizeLeafEffective accumulated temperatureLinear modelLogistic modelExponential model
NETL
NSTL
万方数据
