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Ethanol production potential of sweet sorghum assessed using forage fiber analysis procedures

机译:使用饲料纤维分析程序评估甜高粱的乙醇生产潜力

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Sweet sorghum (Sorghum bicolor (L.) Moench) is widely recognized as a highly promising biomass energy crop with particular potential to complement sugarcane production in diversified cropping systems. Agronomic assessments have led to identification of four cultivars well suited for such sugarcane-based production systems in southern Louisiana. Sweet sorghum biofuel production systems are currently being developed, and research producing large sample numbers requiring ethanol yield assessment is anticipated. Fiber analysis approaches developed for forage evaluation appear to be useful for screening such large numbers of samples for relative ethanol yield. Chemical composition, forage fiber characteristics, digestibility, and ethanol production of sweet sorghum bagasse from the four cultivars were assessed. Measures of detergent fiber, lignin, and digestibility were highly correlated with ethanol production (P 0.01). The best linear regression models accounted for about 80% of the variation among cultivars in ethanol production. Bagasse from the cultivar Dale produced more ethanol per gram of material than any of the other cultivars. This superior ethanol production was apparently associated with less lignin in stems of Dale. Forage evaluation measures including detergent fiber analyses, in vitro digestibility, and an in vitro gas production technique successfully identified the cultivar superior in ethanol yield indicating their usefulness for screening sweet sorghum samples for potential ethanol production in research programs generating large sample numbers from evaluations of germ plasm or agronomic treatments. These screening procedures reduce time and expense of alternatives such as hexose sugar assessment for calculating theoretical ethanol yield.
机译:甜高粱(高粱双子(L.)莫塞被广泛认为是高度有前景的生物质能作物,特别是在多样化的种植系统中补充甘蔗生产的特殊潜力。农艺评估导致鉴定了四种品种,该品种适用于路易斯安那州南部的甘蔗基生产系统。目前正在开发甜高粱生物燃料生产系统,预计生产需要乙醇产量评估的大型样品号的研究。用于饲料评估的纤维分析方法似乎是用于筛选这种大量样品以进行相对乙醇产率。评估了化学成分,饲料纤维特征,消化率和乙醇生产来自四种品种的甜高粱甘蔗渣。洗涤剂纤维,木质素和消化率的测量与乙醇产量高度相关(P <0.01)。最好的线性回归模型占乙醇生产中品种变异的约80%。来自品种戴尔的甘蔗渣产生更多克的材料比任何其他品种更多的乙醇。这种优异的乙醇产量显然与垂直茎中的木质素少相关。饲料评估措施包括洗涤剂纤维分析,体外消化率和体外气体生产技术成功地确定了乙醇产量的品种,表明其用于筛选甜高粱样品的有用性,用于研究计划中的潜在乙醇产量,从胚芽的评估产生大型样品数量血浆或农艺治疗。这些筛选程序减少了替代替代品的时间和费用,例如己糖糖评估,以计算理论乙醇产量。

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