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中国农学通报

中国农学通报 ›› 2012, Vol. 28 ›› Issue (3): 143-147.doi: 10.11924/j.issn.1000-6850.2011-1882

所属专题： 马铃薯

• 农学 农业基础科学 • 上一篇    下一篇

预测木薯茎叶生物量的数学模型

邓权权 左应梅 唐建 辛阳 罗海伟 杨重法   

  • 收稿日期:2011-06-27 修回日期:2011-10-24 出版日期:2012-01-25 发布日期:2012-01-25
  • 基金资助:

    海南省重点学科建设项目“木薯干物质生产与分配的生理生态研究”

A Mathematical Model on Estimating Stem-Leaf Biomass of Cassava

  • Received:2011-06-27 Revised:2011-10-24 Online:2012-01-25 Published:2012-01-25

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摘要：

为了构建预测木薯茎叶生物量的数学模型，调查了5个木薯品种茎秆的基部、中部、上部茎粗及茎秆长度和各个分枝的基部粗度、长度等形态学指标，并将生物量分为茎秆和分枝两部分，分别探讨这两部分生物量与相关形态指标的关系。通过多种模型的反复拟合比较，结果以主茎复合幂函数与分枝集合函数的统合方程的拟合效果较好，均方根误差RMSE为104.2，相关系数r为0.9110，拟合优度较高。并且本模型的拟合效果明显优于前人提出的预测木薯茎叶生物量的数学模型。

关键词: 实数编码, 实数编码

Abstract:

In order to establish forecasting the unity of cassava stem leaf biomass mathematical model. This study investigated five cassava varieties, stem base and middle and upper stem diameter and stem base to branch of stem length and in the branch of various branches diameter, length, etc. And the stem and branches biomass were divided into two parts, this paper probed into the two parts with relevant morphological indexes of biomass relationship. Through a variety of model fitting compared. In the end, gained a cassava estimating model of stem-leaf biomass by simulating model and choosing was to be the best. Including RMSE was 104.2, correlation coefficient was 0.9110, fitting effect was good. And this model than their predecessors fitting results of mathematical model has better fitting effect.