基于SPAD值的木薯叶绿素含量预测模型

摘要

In order to investigate a non-destructive and quick measuring method for chlorophyll content in cassava, a model for predicting total chlorophyll content that was based on SPAD values,specific leaf area, chlorophyll content was established. The results indicated that the influence of chlorophyll A to SPAD values was larger than chlorophyll B; specific leaf area and leaf position and SPAD values and chlorophyll content showed significant correlation; added specific leaf area and leaf position, the accuracy of the model for predicting total chlorophyll content was improved; based on SPAD values,specific leaf area and leaf position, the model for predicting total chlorophyll content was established as C=-4.51+0.092 5 Sp+0.039 9 Sa+0.145 0 (Lp).%为了探讨木薯叶绿素含量的非破坏性快速测定方法,在测量叶片SPAD值、比叶面积和叶绿素含量的基础上构建通过SPAD值预测总叶绿素含量的数学模型.结果表明,叶绿素a对于SPAD值的贡献率大于叶绿素b:比叶面积和叶位显著影响SPAD值与总叶绿素含量的关系,在SPAD值预测总叶绿素含量的模型中导入比叶面积和叶位2个自变量可提高预测总叶绿素含量的精度；基于SPAD值、比叶面积、叶位预测总叶绿素含量的模型为C=-4.51+0.0925 Spv+0.0399 Sa+0.145 0(Lp).