能源草茎叶生物量·干鲜比及产气量预测模型构建

摘要

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.%[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 ＝2.338d 1．735、茎叶干鲜比的预测模型V ＝20．79－4174726Exp（－0．1582d）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。