Methane (CH₄) is recognized as the second most important greenhouse gas (GHG) emitted by anthropogenic sources and is a major driver of climate change along with other GHG. Enteric fermentation CH₄ emissions from ruminants contribute to approximately 17% of total global anthropogenic CH₄ emissions. Several mathematical models to estimate enteric methane emissions have been published, but the majority are limited to cattle in developed countries. Therefore, our objective was to develop a set of empirical models to predict enteric CH₄ emissions by cattle in Latin America (LA). A database was compiled from 67 publications that measured enteric CH₄ emissions from cattle in LA using respiration chambers or the sulfur hexafluoride tracer technique. In total, there were 230 treatment means of enteric CH₄ emissions measured from Nellore (n = 82), crossbreed (n = 79), Holstein (n = 45), and other breeds (n = 24). New prediction models were developed using a mixed-effects modeling approach with a random effect of study. Daily enteric CH₄ emissions from all production systems ranged from 48.5 to 656 g/head with an average of 187 g/head. This large variation was largely explained by dry matter intake (DMI; RSR = 0.68, RMSPE = 29.1%). The prediction of CH₄ emissions was further improved by a combination of DMI, digestibility and variables related to diet chemical composition such as dietary non-fibrous carbohydrates or dietary NDF. The best performance was obtained from the model based on DMI, dietary forage and organic matter digestibility (RSR = 0.59, RMSPE = 24.2% of observed mean). The newly developed models based on LA data give a better estimation of CH₄ emissions from cattle than extant models, while the updated CH₄ emission factors from IPCC 2019 performed better than emission factors of IPCC 2006. The new models developed using data specific to the region are recommended for use in preparing national methane inventories for LA cattle.

甲烷（CH ₄）被认为是人为源排放的第二重要温室气体（GHG），与其他温室气体一样，也是气候变化的主要驱动力。反刍动物肠发酵产生的CH ₄排放量约占全球人为CH ₄排放量总量的17％。已经发表了几种估计肠内甲烷排放量的数学模型，但是在发达国家，大多数模型仅限于牛。因此，我们的目标是建立一套经验模型，以预测拉丁美洲（LA）牛的肠道CH ₄排放量。从67份测量肠道CH _4的出版物中收集了数据库使用呼吸室或六氟化硫示踪剂技术从洛杉矶的牛身上排放。从Nellore（n  = 82），杂种（n  = 79），Holstein（n  = 45）和其他品种（n  = 24）总共测量了230种肠道CH ₄排放的治疗手段。使用混合效应建模方法开发了新的预测模型，并具有随机研究效果。所有生产系统每天产生的肠内CH ₄排放量为48.5至656 g /头，平均为187 g /头。很大的差异主要是由干物质摄入量引起的（DMI； RSR = 0.68，RMSPE = 29.1％）。CH ₄的预测DMI，消化率和与日粮化学组成有关的变量（如日粮非纤维碳水化合物或日粮NDF）相结合，可进一步改善排放。从基于DMI，膳食饲料和有机物质消化率的模型中可获得最佳性能（RSR = 0.59，RMSPE =观测平均值的24.2％）。与现有模型相比，基于LA数据的新开发模型可以更好地估算牛的CH ₄排放，而IPCC 2019的更新CH ₄排放因子的表现要优于IPCC 2006的排放因子。建议将该地区用于准备LA牛的国家甲烷清单。