A preliminary assessment of greenhouse gas emissions from dairy production in Morocco
モロッコの酪農生産における温室効果ガス排出量の予備評価 (AI 翻訳)
Mohamed Taher Sraïri, Yazid Belghiti Alaoui
🤖 gxceed AI 要約
日本語
本研究は、モロッコの酪農システムの多様性を代表する40農場を対象に、クレードル・トゥ・ファームゲートのGHG排出量と乳排出強度を推定した。平均排出強度は2.4 kg CO2e/kg FPCMであり、最も効率的なシステムで1.6、最も非効率なシステムで3.3と変動した。腸内発酵が排出の主因（40%）であり、飼料生産（33%）、糞尿管理（11%）が続く。乳量が高いほど排出強度が低く、乳量1,000リットル増加あたり0.21 kg CO2e/kg FPCMの削減が示唆された。
English
This study estimated farm-gate GHG emissions and milk emission intensity for 40 farms representing Moroccan dairy systems using Cool Farm Tool. Average emission intensity was 2.4 kg CO2e/kg FPCM, ranging from 1.6 to 3.3. Enteric methane was the main source (40%), followed by feed production (33%) and manure management (11%). Higher milk yield per cow was associated with lower emission intensity, suggesting productivity improvements as a mitigation measure.
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
モロッコの事例ではあるが、日本の畜産GXにおいてもファームレベルでの排出量データの蓄積が重要である。本論文の手法（Cool Farm Tool）は、日本の農業現場での排出量算定にも応用可能であり、生産性向上と排出削減の両立可能性を示している。
In the global GX context
This study provides farm-level emission factors for a developing country context, contributing to global dairy emission databases. It highlights the role of productivity in lowering emission intensity, which is relevant for sustainable intensification policies worldwide. The methodology using Cool Farm Tool can be applied in other regions, including Japan.
👥 読者別の含意
🔬研究者:Provides baseline emission intensities for Moroccan dairy systems and demonstrates use of Cool Farm Tool for GHG accounting.
🏢実務担当者:Dairy farms can use the findings to prioritize mitigation measures such as improving feed efficiency and increasing milk yield per cow.
🏛政策担当者:Informs national GHG inventories for agriculture and supports design of mitigation strategies tailored to different farm types.
📄 Abstract（原文）
Abstract Dairy production plays a central role in Moroccan agriculture allowing for regular incomes and directly contributing to food sovereignty, yet farm-level data on greenhouse gas (GHG) emissions remain limited. This study aimed to (1) estimate farm-gate GHG emissions and milk emission intensity in 40 farms representing the diversity of Moroccan dairy systems, (2) quantify the contribution of major emission sources, and (3) assess the influence of production system characteristics on emission intensity. A cradle-to-farm-gate approach was applied using the Cool Farm Tool, with 1 kg of - fat and protein - corrected milk (FPCM) as the functional unit. Farms were grouped into four profiles according to marketing channel and feed sourcing strategy, ranging from specialized, high-productivity systems with partial feed autonomy to small-scale, input-dependent farms operating under drought and limited irrigation. Average emission intensity reached 2.4 kg CO 2 e kg FPCM -1 , varying from 1.6 to 3.3 kg CO 2 e kg FPCM -1 , respectively in the most and the least efficient systems. Enteric methane was the main source of emissions (40%), followed by feed production (33%), manure management (11%), transport (10%), and on-farm energy use (6%). Farms supplying the dairy industry directly showed lower emission intensity due to higher annual milk yields per cow; each 1,000-liter increase in annual yield per cow was associated with 0.21 kg CO 2 e kg FPCM -1 reduction. This study provides the first farm-level reference values for dairy GHG emissions in Morocco and highlights their heterogeneity among production systems, as well as it suggests mitigation measures adapted to each farm type.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.21203/rs.3.rs-9734204/v1first seen 2026-05-28 05:31:13 · last seen 2026-06-10 05:44:57
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