Farm-level cost-effectiveness analysis of in-paddock feeding of methane inhibitors in pasture-based dairy

Q3 Environmental Science
Callum Eastwood, Benjamin Marmont, David Silva-Villacorta, Zack Dorner, Elena Minnee, Mark Neal
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引用次数: 0

Abstract

Various approaches have been proposed to reduce methane emissions from ruminant livestock systems. While methane-inhibiting feed-additives are not yet commercially available in New Zealand, it has been reported that they can reduce enteric methane emissions by 30-90% when fed to ruminant livestock regularly and precisely in total mixed ration systems. This study aims to determine the primary economic performance drivers of using In-Paddock Smart-Feeders (IPSF) for delivering methane inhibitors in pasture-based dairy to understand the conditions in which they are viable. A farm-level financial model is developed, drawing on the Economic Farm Survey produced by DairyNZ. Both a scenario and sensitivity analysis are conducted on the cost-effectiveness of the approach for methane mitigation. The main finding is that the largest cost associated with the approach is the cost of additionalsupplement, which would acts as a carrier for the methane inhibitor. Therefore, the quantity of additional supplement used prior to adoption is a key determinant of viability. There is a large range in breakeven methane prices depending on the value of assumptionsused. More certainty in these assumptions is required to fully understand the potential use of IPSFs to deliver methane-inhibiting feed-additives in-paddock.
牧场牧场饲用甲烷抑制剂的成本效益分析
人们提出了各种方法来减少反刍牲畜系统的甲烷排放。虽然抑制甲烷的饲料添加剂在新西兰尚未商业化,但据报道,如果在完全混合的饲料系统中定期和精确地饲喂反刍牲畜,它们可以减少30-90%的肠道甲烷排放。本研究旨在确定使用围场智能喂食器(IPSF)在牧场乳制品中输送甲烷抑制剂的主要经济绩效驱动因素,以了解它们可行的条件。根据DairyNZ的经济农场调查,开发了一个农场层面的财务模型。对甲烷减排方法的成本效益进行了情景分析和敏感性分析。主要发现是,与该方法相关的最大成本是作为甲烷抑制剂载体的额外补充物的成本。因此,在采用之前使用的额外补充品的数量是生存能力的关键决定因素。根据所使用的假设值,盈亏平衡甲烷的价格有很大的变化范围。为了充分了解ipsf在围场中提供甲烷抑制饲料添加剂的潜在用途,需要对这些假设进行更多的确定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of New Zealand Grasslands
Journal of New Zealand Grasslands Environmental Science-Nature and Landscape Conservation
CiteScore
0.90
自引率
0.00%
发文量
27
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