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ペルーにおける作物残渣およびアンデス灌木地システム下での在来ヤギ乳生産のカーボンフットプリント

Carbon footprint of Creole goat milk production in Peru under crop-residue and Andean shrubland systems (原題)

Richard Ayala Roldan, Miguel Paredes-Chocce, Hugo Castillo Doloriert, David Godoy-Padilla, Juancarlos Alejandro Cruz-Luis, José Antonio Haro-Reyes

Agricultural Systems📚 査読済 / ジャーナル2026-09-24#気候科学Origin: JP対象セクター: agriculture
DOI: 10.1016/j.agsy.2026.104993
原典: https://doi.org/10.1016/j.agsy.2026.104993

🤖 gxceed AI 要約

日本語

ペルーの在来ヤギ乳生産を対象に、作物残渣型(リマ)と灌木地型(アンカシュ)の2つの放牧システムでcradle-to-farm-gateのLCAを実施。CH₄・N₂O・CO₂をIPCC手法で推計し、FPCM当たりCFPは0.681〜1.672 kg CO₂-eq/kgで、系間の有意差はなかった。腸内発酵が総排出量の74〜79%を占め、季節変動が排出量の主要ドライバーであることを示した。

English

A cradle-to-farm-gate LCA assessed the carbon footprint of Creole goat milk in two Peruvian extensive systems (crop-residue Lima vs shrubland Ancash). Using IPCC methods, CFP ranged 0.681–1.672 kg CO2-eq/kg FPCM with no significant system difference; enteric fermentation contributed 74–79%. Seasonality, not system type, was the main driver of emission variability.

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

日本では畜産由来GHG(Scope 3カテゴリ1・農畜産物)の算定が食品・小売企業の開示課題となっており、零細・放牧型システムのCFP算定手法と季節変動の扱いは、サプライチェーン排出量推計の参考になる。ただし対象はペルーの零細ヤギ飼養であり、SSBJ・有報対応への直接的な示唆は限定的。

In the global GX context

Adds to the growing body of agricultural LCA evidence relevant to Scope 3 Category 1 (purchased goods) accounting under GHG Protocol and CSRD/ESRS E1. Its focus on marginal, extensive livestock systems and seasonal variability offers a methodological reference for supply-chain emission estimation in regions where farm-level data are scarce.

👥 読者別の含意

🔬研究者:零細放牧システムにおけるCFP算定と季節変動の影響を定量化した、農業LCA研究の事例として参考になる。

🏢実務担当者:農畜産物サプライチェーンのScope 3算定において、季節・生態系変動をどう扱うかの示唆が得られる。

🏛政策担当者:零細畜産の排出実態把握と、地域・季節を考慮した排出インベントリ整備の必要性を示す。

📄 Abstract(原文)

CONTEXT Goat farming in Peru is economically marginal yet essential for rural livelihoods and food security. Creole goats are managed extensively on native rangelands or crop residues, but their greenhouse gas emissions remain poorly quantified. OBJECTIVE To assess the carbon footprint (CFP) of Creole goat milk production under two contrasting extensive systems in Lima (crop-residue based) and Ancash (shrubland-based), Peru. METHODS A cradle-to-farm-gate life cycle assessment was conducted on six farms per system during winter and summer. Emissions of CH₄, N₂O and CO₂ were estimated using IPCC methodologies and expressed per kilogram of fat- and protein-corrected milk (FPCM). CFP were analyzed using univariate and mixed-effects models. RESULTS AND CONCLUSIONS System differences in farm characteristics were more pronounced during summer, when Ancash system, compared to Lima system, showed higher dietary fiber concentrations (42.65% vs 33.10%; p < 0.001) and produced milk with greater total solids content (15.38% vs 13.70%; p < 0.05). However, CFP did not differ significantly between systems, ranging from 0.681 to 1.672 kg CO₂-eq kg −1 FPCM, with enteric fermentation accounting for 74–79% of total emissions. Significant system × season interactions for fuel and electricity emissions revealed contrasting seasonal resource-use responses between systems. These findings indicate that seasonal dynamics are a major driver of emission variability, while overall CFP remained comparable between systems. SIGNIFICANCE This study provides the first CFP assessment of Creole goat milk production in Peru and highlights the importance of considering ecosystem and seasonal variability when assessing emissions from marginal goat systems.

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