2016, v.44;No.530(25) 18-19+38

李晓明;刘学忠;闫亮;张晓琳;

• 1:海南神州新能源建设开发有限公司

摘要：

[目的]为能源草茎叶生物量、干鲜比及产气量的估算提供简便、快捷、准确的非破坏性方法。[方法]研究能源草植后90 d至首次刈割时期,茎叶生物量、干鲜比及产气量与植后天数的关系。[结果]通过模型拟合和择优得到茎叶生物量的预测模型W=2.338d1.735、茎叶干鲜比的预测模型V=20.79-4 174 726Exp(-0.158 2d)及茎叶产气量的预测模型G=2.209d1.73;生长后期茎叶干鲜比增速缓慢并逐步趋于稳定,预测曲线显示其最终稳定在20.77%;茎叶产气速度随着植后天数的增加呈现出下降趋势,二者之间呈显著的负相关。[结论]该研究通过模型拟合和择优得到茎叶生物量、干鲜比和产气量的预测模型,拟合优度很高。

关键词： 能源草;茎叶生物量;干鲜比;产气量;预测模型

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,dryfresh ratio and gas production was obtained with high fitting degree.

Keywords: Energy grass;Biomass of stem and leaf;Dry-fresh ratio;Gas production;Prediction model

基金项目: 海南省科技厅资助项目(CXY)

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