安徽农业科学2017，Vol.45Issue(24)：9-10,2.
基于气象因子的柏木属植物引种成活率预测模型
Prediction Model of Survival Rates of Introduced Cupressus Plants Based on Meteorological Factors
摘要
Abstract
[Objective] The aim was to study the relationship between the survival rate of introduced Cupressus plants in Nanjing botanical garden Mem.Sun Yat-sen and the environmental factors of source area.[Method] The data from 1976 to now was studied by the principal component analysis(PCA).The meteorological parameters were reduced to 2 independent principal components.With the principal components as independent variable, the average survival rate as dependent variable, the regression analysis method was used to establish the prediction model of the survival rate.[Result] The prediction model of the survival rate was as followed:Y=88.480+0.028Z1-0.10Z2, the main component Z1 as temperature and light condition factor was the most important factor determining survival rate of introduction.[Conclusion] This model can provide the basis for the evaluation of Cupressus plant introduction.关键词
柏木属植物/引种成活率/气象因子/主成分分析法/回归分析Key words
Cupressus plant/Survival rate of introduced plants/Meteorological factors/Principal component analysis/Regression analysis分类
农业科技引用本文复制引用
殷茜,刘兴剑,任全进,李亚..基于气象因子的柏木属植物引种成活率预测模型[J].安徽农业科学,2017,45(24):9-10,2.基金项目
南京中山植物园绿手指基金项目. （）
