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肠内甲烷排放的测量和预测。

Measurement and prediction of enteric methane emission.

机构信息

Adaptation Physiology Laboratory, Division of Physiology & Biochemistry, Central Sheep & Wool Research Insitute, Avikanagar, Via-Jaipur, Rajasthan, 304501, India.

出版信息

Int J Biometeorol. 2011 Jan;55(1):1-16. doi: 10.1007/s00484-010-0356-7. Epub 2010 Sep 1.

Abstract

The greenhouse gas (GHG) emissions from the agricultural sector account for about 25.5% of total global anthropogenic emission. While CO(2) receives the most attention as a factor relative to global warming, CH(4), N(2)O and chlorofluorocarbons (CFCs) also cause significant radiative forcing. With the relative global warming potential of 25 compared with CO(2), CH(4) is one of the most important GHGs. This article reviews the prediction models, estimation methodology and strategies for reducing enteric CH(4) emissions. Emission of CH(4) in ruminants differs among developed and developing countries, depending on factors like animal species, breed, pH of rumen fluid, ratio of acetate:propionate, methanogen population, composition of diet and amount of concentrate fed. Among the ruminant animals, cattle contribute the most towards the greenhouse effect through methane emission followed by sheep, goats and buffalos, respectively. The estimated CH(4) emission rate per cattle, buffaloe, sheep and goat in developed countries are 150.7, 137, 21.9 and 13.7 (g/animal/day) respectively. However, the estimated rates in developing countries are significantly lower at 95.9 and 13.7 (g/animal/day) per cattle and sheep, respectively. There exists a strong interest in developing new and improving the existing CH(4) prediction models to identify mitigation strategies for reducing the overall CH(4) emissions. A synthesis of the available literature suggests that the mechanistic models are superior to empirical models in accurately predicting the CH(4) emission from dairy farms. The latest development in prediction model is the integrated farm system model which is a process-based whole-farm simulation technique. Several techniques are used to quantify enteric CH(4) emissions starting from whole animal chambers to sulfur hexafluoride (SF6) tracer techniques. The latest technology developed to estimate CH(4) more accurately is the micrometeorological mass difference technique. Because the conditions under which animals are managed vary greatly by country, CH(4) emissions reduction strategies must be tailored to country-specific circumstances. Strategies that are cost effective, improve productivity, and have limited potential negative effects on livestock production hold a greater chance of being adopted by producers. It is also important to evaluate CH(4) mitigation strategies in terms of the total GHG budget and to consider the economics of various strategies. Although reductions in GHG emissions from livestock industries are seen as high priorities, strategies for reducing emissions should not reduce the economic viability of enterprises.

摘要

农业部门的温室气体(GHG)排放量约占全球人为排放总量的 25.5%。虽然二氧化碳(CO2)作为导致全球变暖的因素受到最多关注,但甲烷(CH4)、氧化亚氮(N2O)和氯氟碳化合物(CFCs)也会造成显著的辐射强迫。由于其相对全球变暖潜能值为 25,与 CO2 相比,甲烷(CH4)是最重要的温室气体之一。本文综述了反刍动物肠道 CH4 排放的预测模型、估算方法和减排策略。不同国家的反刍动物 CH4 排放量因动物种类、品种、瘤胃液 pH 值、乙酸:丙酸比、甲烷菌种群、日粮组成和精料喂量等因素而异。在反刍动物中,牛通过甲烷排放对温室效应的贡献最大,其次是绵羊、山羊和水牛。发达国家每头牛、水牛、绵羊和山羊的 CH4 排放量估计值分别为 150.7、137、21.9 和 13.7(g/动物/天)。然而,发展中国家的估计值分别为 95.9 和 13.7(g/动物/天),要低得多。人们对开发新的和改进现有的 CH4 预测模型以确定减少整体 CH4 排放的缓解策略有着浓厚的兴趣。对现有文献的综合分析表明,在准确预测奶牛场 CH4 排放方面,机理模型优于经验模型。预测模型的最新发展是综合农场系统模型,这是一种基于过程的全农场模拟技术。有几种技术可用于从动物整体舱室到六氟化硫(SF6)示踪剂技术来量化肠道 CH4 排放。为了更准确地估计 CH4,开发的最新技术是微气象质量差技术。由于动物管理的条件因国家而异,因此 CH4 减排策略必须根据具体国情进行调整。具有成本效益、提高生产力、对畜牧业生产的潜在负面影响有限的策略更有可能被生产者采用。从温室气体总预算的角度评估 CH4 缓解策略,并考虑各种策略的经济性也很重要。虽然减少畜牧业温室气体排放被视为高度优先事项,但减少排放的策略不应降低企业的经济可行性。

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