植物病害I-S关系——logistic衍生模型的研究

以logistic模型为基础 ,以时间因子为媒介 ,推导出一个能准确描述植物病害I-S的logistic衍生模型。通过对油松落针病、花生锈病、烟草黄瓜花叶病和小麦赤霉病等多组I-S关系数据的实例验证与比较分析 ,显示出这一模型具有较强的数据拟合能力和广泛的适用性。Logistic衍生模型尚可应用于林木胸径与材积(D -V)关系、径与树高(D -H)关系以及生物量预估等项研究。此外 ,还提出一个具有普遍指导意义的通用模型

Relationship Between I and S of Plant Disease Logistic Derivation Model

Based on the famous logistic Model which can accurately describe the relationship between I and S of plant disease was deduced. After the comparison to the relationship between I and S of the pine needle cast, peanut rust, cucumber mosaic virus (CMV) on the tobacco and spring wheat scab, it was found that the derivation model has better fitting function and wide application. In addition, this model can be widely applied to study the relationship between diameter at breast height (D) and volume (V) of forest-tree, the relationship between D and H and the biomass forecasting.