Kaewpila Chatchai, Sommart Kritapon
Department of Animal Science Faculty of Agriculture Khon Kaen University Khon Kaen Thailand.
Ecol Evol. 2016 Sep 26;6(20):7422-7432. doi: 10.1002/ece3.2500. eCollection 2016 Oct.
The enteric methane conversion factor () is an important country-specific value for the provision of precise enteric methane emissions inventory reports. The objectives of this meta-analysis were to develop and evaluate the empirical models for the national level and the farm level for tropical developing countries according to the IPCC's categorization. We used datasets derived from 18 in vivo feeding experiments from 1999 to 2015 of Zebu beef cattle breeds fed low-quality crop residues and by-products. We found that the observed value was 8.2% gross energy (GE) intake (~120 g methane emission head day) and ranged from 4.8% to 13.7% GE intake. The IPCC default model (tier 2, = 6.5% ± 1.0% GE intake) underestimated the values by up to 26.1% compared with its refinement of 8.4% ± 0.4% GE intake for the national-level estimate. Both the IPCC default model and the refined model performed worse in predicting trends at the farm level (root mean square prediction error [MSPE] = 15.1%-23.1%, concordance correlation coefficient [CCC] = 0.16-0.18, = .32). Seven of the extant models based on a linear regression approach also showed inaccurately estimated values (root MSPE = 16.2%-36.0%, CCC = 0.02-0.27, < .37). However, one of the developed models, which related to the complexity of the energy use efficiencies of the diet consumed to , showed adequate accuracy at the farm level (root MSPE = 9.1%, CCC = 0.75, = .67). Our results thus suggest a new model and future challenges for estimating Zebu beef cattle production in tropical developing countries.
肠道甲烷转换因子()是提供精确的肠道甲烷排放清单报告的一个重要的特定国家值。本荟萃分析的目的是根据IPCC的分类,开发和评估热带发展中国家国家层面和农场层面的经验模型。我们使用了1999年至2015年期间18项关于瘤牛品种采食低质量作物残渣和副产品的体内饲养实验得出的数据集。我们发现,观察到的 值为总能(GE)摄入量的8.2%(约120克甲烷排放/头/天),范围为GE摄入量的4.8%至13.7%。与国家层面估计的经改进的8.4%±0.4%的GE摄入量相比,IPCC默认模型(第2层, = 6.5%±1.0%的GE摄入量)低估了 值高达26.1%。IPCC默认模型和改进模型在预测农场层面的 趋势方面表现都较差(均方根预测误差[MSPE]=15.1%-23.1%,一致性相关系数[CCC]=0.16-0.18, = 0.32)。基于线性回归方法的现有 模型中有7个也显示出 值估计不准确(均方根MSPE = 16.2%-36.0%,CCC = 0.02-0.27, < 0.37)。然而,所开发的模型之一,该模型将采食日粮的能量利用效率的复杂性与 相关联,在农场层面显示出足够的准确性(均方根MSPE = 9.1%,CCC = 0.75, = 0.67)。因此,我们的结果为热带发展中国家瘤牛生产的估计提出了一个新的 模型和未来挑战。