安徽农业科学2016，Vol.44Issue(25)：10-11,30,3.
能源草茎叶生物量·干鲜比及产气量预测模型构建
Construction of Prediction Model of Stem and Leaf Biomass, Dry-Fresh Ratio and Gas Production of Energy Gras
摘要
Abstract
Objective] The aim was to provide a simple, rapid, accurate non-constructive method for estimation of stem and leaf biomass, dry-fresh ratio and gas production of energy grass.[ Method] This study explored the relationships after planting 90 days to first harvest period between the biomass of stem and leaf, dry-fresh ratio, gas production of energy grass and the number of days after planting.[Result] Through the model fitting and preferred to get the prediction model of stem and leaf biomass W=2.338d1.735, the prediction model of dry-fresh ratio V=20.79-4 174 726Exp( -0.158 2d) and the prediction model of gas production G=2.209d1.73; The dry-fresh ratio of the stem and leaf growing late grows at a snail’s pace and gradually tends to be stable.The prediction curve shows the final stability is at the level of 20.77%;The gas production rate of stem and leaf shows a downward trend with the increase of the number of days after planting , the significant negative correlation is presented between them.[Conclusion] Through model fitting and preferring, prediction model of stem and leaf biomass, dry-fresh ratio and gas production was obtained with high fitting degree.关键词
能源草/茎叶生物量/干鲜比/产气量/预测模型Key words
Energy grass/Biomass of stem and leaf/Dry-fresh ratio/Gas production/Prediction model分类
农业科技引用本文复制引用
李晓明,刘学忠,闫亮,张晓琳..能源草茎叶生物量·干鲜比及产气量预测模型构建[J].安徽农业科学,2016,44(25):10-11,30,3.基金项目
海南省科技厅资助项目（CXY20130052）。 （）
