Study on leaf area determination methods of muskmelon
In order to determine the leaf area of muskmelon more accuracy and adaptability in non-destructive way during the process of production and scientific research,the feasibility of the method through the leaf size variable leaf length,leaf width and the notch variable to estimate leaf area of muskmelon was explored on the basis of traditional regression coefficient method.Leaf characteristics including leaf length,leaf width,notch depth and leaf area.Leaf length,leaf width and the notch depth of 1 298 muskmelon leaves from 4 cuhivars of muskmelon ‘Changxiangyu’,‘Qiuyue’,‘Jiqing’ and ‘Honggu’ were measured and the leaf area were determined by scanning method.The results indicated that there was a significant correlation between leaf area and leaf length,leaf width and notch depth.Through the model fitting and optimization,a optimizing mathematical model S=-13.289 7+ (L·W)0.943+0.267N1· L+0.153 N2·L,which consisted of the size variable L· W and the notch variable N1· L and N2· L to predict leaf area was obtained.Model fitting results showed that the coefficient of determination R2 and the root mean square error RMSE were 0.988 6 and 7.686,respectively.The results of external validation of the model reflected that the correlation coefficient r and the root mean square error RMSE were 0.9950 and 7.201,respectively.Model validation was carried out on the 4 melon varieties respectively,and the correlation coefficient r which was between predicted values and the measured values of the 4 validation were all higher than 0.994 0,meanwhile the root mean square error RMSE were all less than 6.900.When the notch variable added into the model,the root mean square error RMSE reduced from 9.434 to 7.201.The accuracy of predicting the leaf area and adaptability of the model were improved by introducing the notch variable.
NETL
NSTL
万方数据
维普
