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Development of methane conversion factor models for Zebu beef cattle fed low‐quality crop residues and by‐products in tropical regions

机译:为热带地区饲喂劣质农作物残渣和副产物的瘤牛肉牛甲烷转化因子模型的开发

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摘要

The enteric methane conversion factor (Y m) 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 Y m 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 Y m value was 8.2% gross energy (GE) intake (~120 g methane emission head−1 day−1) and ranged from 4.8% to 13.7% GE intake. The IPCC default model (tier 2, Y m = 6.5% ± 1.0% GE intake) underestimated the Y m 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 Y m trends at the farm level (root mean square prediction error [MSPE] = 15.1%–23.1%, concordance correlation coefficient [CCC] = 0.16–0.18, R 2 = .32). Seven of the extant Y m models based on a linear regression approach also showed inaccurately estimated Y m values (root MSPE = 16.2%–36.0%, CCC = 0.02–0.27, R 2 < .37). However, one of the developed models, which related to the complexity of the energy use efficiencies of the diet consumed to Y m, showed adequate accuracy at the farm level (root MSPE = 9.1%, CCC = 0.75, R 2 = .67). Our results thus suggest a new Y m model and future challenges for estimating Zebu beef cattle production in tropical developing countries.
机译:肠甲烷转化因子(Y m)是国家/地区特定的重要值,可用于提供精确的肠甲烷排放量清单报告。这项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的国家水平和农场水平的经验Y m模型。我们使用了从1999年至2015年的18个瘤牛肉牛品种的体内喂养实验数据集,这些牛饲喂了低质量的农作物残留物和副产品。我们发现观测到的Y m值为总能量(GE)摄入量的8.2%(〜120 g甲烷排放头 -1 -1 ),范围为4.8%至GE摄入量为13.7%。 IPCC的默认模型(第2层,Y m = 6.5%±1.0%GE摄入量)低估了Y m值达26.1%,而在国家一级的估算中,它对8.4%±0.4%GE摄入量进行了细化。 IPCC默认模型和精细模型在预测农场级别的Y m趋势方面均表现较差(均方根预测误差[MSPE] = 15.1%–23.1%,一致性相关系数[CCC] = 0.16-0.18,R 2 =。32)。基于线性回归方法的现有Y m模型中的七个也显示了不正确的估计Y m值(根MSPE = 16.2%-36.0%,CCC = 0.02-0.27,R 2 <。37)。但是,其中一种与饮食消耗到Y m的能量利用效率的复杂性有关的已开发模型在农场一级显示出足够的准确性(根MSPE = 9.1%,CCC = 0.75,R 2 < /sup>=.67)。因此,我们的结果提出了一个新的Y m模型,以及估计热带发展中国家的瘤牛肉牛产量的未来挑战。

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