Variability in dairy farm greenhouse gas emissions: implications of gross and net GHG estimates for mitigation
乳牛農場の温室効果ガス排出量の変動性：総排出量と正味排出量の推定値が緩和に与える影響 (AI 翻訳)
Alexis Ruiz-González, Sylvestre Delmotte, Frédérika Nadon, Simon Binggeli, Edith Charbonneau, Sébastien Fournel
🤖 gxceed AI 要約
日本語
カナダ・ケベック州の62の乳牛農場を対象に、総排出量および土壌・樹木の炭素蓄積変化を考慮した正味排出量を推定。総排出量の変動係数は14.6%で比較的小さいが、正味排出量では33%と大きく、炭素隔離が農場間の差に強く影響することが示された。高泌乳量、飼料中デンプン含有率、土壌粘土含有率が低排出強度と関連。
English
This study quantified gross and net GHG emissions on 62 commercial dairy farms in Québec, Canada, including soil and tree carbon stock changes on 42 farms. Gross emissions showed moderate variability (CV=14.6%) while net emissions varied widely (CV=33%). Enteric fermentation was the largest source (48%), and carbon stock changes significantly altered farm rankings. Higher milk yield, dietary starch, and soil clay content were linked to lower emission intensity.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本でも乳牛由来のメタン排出が問題となっており、本論文の変動性分析や炭素隔離の考慮は、日本の酪農における排出量算定と削減対策の優先順位付けに示唆を与える。特に、正味排出量の評価が農場間の比較に重要である点は、今後の国内排出係数や報告制度に参考となる。
In the global GX context
The paper underscores the importance of including carbon stock changes in farm-level GHG assessments, a key aspect for accurate reporting under frameworks like the GHG Protocol and national inventories. The variability analysis offers insights for designing targeted mitigation strategies in dairy systems globally.
👥 読者別の含意
🔬研究者:Provides empirical variability distributions for gross and net emissions, useful for improving GHG accounting methodologies in livestock systems.
🏢実務担当者:Highlights that carbon sequestration can offset emissions significantly, urging dairy farmers to consider soil and tree management alongside emission reduction.
🏛政策担当者:Suggests that net emission estimates, including carbon stock changes, should inform agricultural climate policies and incentive programs.
📄 Abstract（原文）
Understanding variability in greenhouse gas (GHG) emissions among dairy farms is essential for identifying effective mitigation strategies. This study quantified gross and net GHG emissions in 62 commercial dairy farms in Québec, including a subset of 42 farms for which soil and tree carbon stock changes were assessed. Mean gross GHG emissions were 1.05 ± 0.16 kg CO₂-eq/kg fat- and protein-corrected milk (FPCM), with moderate variability (CV = 14.6%; range: 0.59–1.42). Net GHG emissions, accounting for soil and tree carbon stock changes, averaged 1.06 ± 0.35 kg CO₂-eq/kg FPCM and showed greater variability (CV = 33%; range: 0.28–1.87). Enteric fermentation was the main emission source (48% of gross emissions), followed by manure management (18%), soil emissions (14%), and feed production (13%). Changes in soil and tree carbon stocks strongly influenced net emissions, with combined effects ranging from −0.66 to +0.52 kg CO₂-eq/kg FPCM. Cluster analyses revealed significant differences among farms for gross and net GHG emissions, showing that inclusion of carbon stock changes modified farm performance interpretation. Greater milk yield per cow, dietary starch content, and soil clay content were associated with lower emission intensity. Both emission sources and carbon sequestration contributed to farm-level variability.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.1139/cjas-2026-0019first seen 2026-06-27 05:39:50
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