Specific Biogas Yield of Maize Can Be Predicted by the Interaction of Four Biochemical Constituents
Specific Biogas Yield of Maize Can Be Predicted by the Interaction of Four Biochemical Constituents
复制标题
玉米的比沼气产量可以通过四种生化成分的相互作用来预测
作者：
J. Rath;H. Heuwinkel;A. Herrmann
随着德国沼气生产的扩大，沼气玉米的理想型问题也随之而来。因此，本研究的目的是估计潜在的比沼气产量（SBY）的玉米从其组成，并得出沼气玉米育种的建议。这项工作是基于2年，多点田间试验，提供了大的遗传变异，玉米饲料品质。SBY通过批试验测定。在第一个实验年，研究中心和发酵接种物之间存在显著的相互作用，需要在确定第二年样品的SBY之前优化批试验程序，以避免测量方法产生任何系统性影响。相关分析表明，淀粉、粗脂肪、酶解有机物和代谢能对SBY有显著的正效应。酸性洗涤剂木质素含量呈负相关。然而，由于SBY不是由单个参数明确确定的，因此对SBY进行了多元线性回归（MLR）。MLR分析结果表明，粗脂肪、半纤维素、酸性洗涤木质素和水溶性碳水化合物是影响大豆品质的主要生化成分，前两个性状与大豆品质呈正相关，后两个性状与大豆品质呈负相关。得出的结论是，沼气玉米理想型可以派生，这明显不同于反刍动物营养，可以通过各种生化成分的组合以不同的方式来实现。对于沼气厂的农民和经营者来说，回归模型提供了更好地描述其基质特征和进行质量导向核算的机会。
The expansion of biogas production in Germany has raised the question regarding a biogas maize ideotype. The aims of the present study therefore were to estimate the potential specific biogas yield (SBY) of maize from its composition and to derive recommendations for biogas maize breeding. The work was based on a 2-year, multisite field experiment which provided large genetic variations in maize forage quality. SBY was determined via a batch test. A significant interaction between site and fermentation inoculum in the first experimental year required optimization of the batch test procedure before determining the SBY of second year samples to avoid any systematic effects from the measurement method. Correlation analysis revealed significant positive effects of starch, crude fat, enzyme-soluble organic matter, and metabolizable energy on SBY. A negative correlation was found for acid detergent lignin. Since, however, SBY was not clearly determined by a single parameter, a multiple linear regression (MLR) on SBY was conducted. The results of MLR revealed that the contributing biochemical constituents were crude fat, hemicelluloses, acid detergent lignin, and water-soluble carbohydrates, with the first two characters being positively correlated with SBY and the last two showing a negative relationship to SBY. It is concluded that a biogas maize ideotype can be derived, which differs distinctly from that for ruminant nutrition and which can be achieved in different ways through the combination of various biochemical constituents. For farmers and operators of biogas plants, the regression model provides the opportunity to better characterize their substrates and to perform quality-oriented accounting.