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Greenhouse gas emissions of African Stargrass-based dairy systems under organic or inorganic fertilization regimes

有機および無機肥料条件下におけるアフリカスターグラスベースの乳牛システムの温室効果ガス排出 (AI 翻訳)

Marvin Jaroht Solano López, Cristofer Rojas Jiménez, Danilo Pezo, Roberto A. Quiroz, Cristina Chinchilla Soto, Luis Alonso Villalobos Villalobos

Frontiers in Sustainable Food Systems📚 査読済 / ジャーナル2026-06-12#気候科学対象セクター: agriculture
DOI: 10.3389/fsufs.2026.1725133
原典: https://doi.org/10.3389/fsufs.2026.1725133

🤖 gxceed AI 要約

日本語

コスタリカの乳牛研究ステーションで、アフリカスターグラス牧草に有機・無機肥料を施用した場合の温室効果ガス排出を評価。CO2、CH4、N2Oの排出を測定し、肥料の種類が排出強度に影響することを示した。特に硫黄被覆尿素では排出強度が低く、スラリーでは高かった。

English

This study assessed greenhouse gas emissions from African Stargrass pastures under different organic and inorganic fertilization regimes in Costa Rica. CO2, CH4, and N2O emissions were measured, showing that fertilizer type influences emission intensity, with sulfur-coated urea resulting in lower 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

本論文は熱帯条件下での畜産由来の排出削減に関する実証データを提供。日本の畜産分野におけるGHG削減策(特に有機肥料の活用と排出強度の関係)に示唆を与える可能性がある。ただし、直接的な日本の政策や開示基準に結びつくものではない。

In the global GX context

This paper provides empirical data on agricultural emissions in tropical conditions, relevant for global livestock mitigation strategies. It offers insights into how fertilizer management affects emission intensity, which can inform climate-smart agriculture practices worldwide.

👥 読者別の含意

🔬研究者:Empirical data on fertilizer impacts on GHG emissions in tropical dairy systems can inform modeling and mitigation research.

🏢実務担当者:Livestock managers can use findings to select fertilizers that reduce emission intensity.

🏛政策担当者:Supports development of agricultural emission reduction policies for tropical regions.

📄 Abstract(原文)

Background Properly managed livestock operations play a significant role in reducing greenhouse gas emissions in agriculture. We assessed the effects of applying organic and inorganic fertilizers to African Stargrass pastures on greenhouse gas emissions. Methods The study was conducted at the Dairy Research Station of the University of Costa Rica (May–November 2019 and 2021). Six fertilization treatments were evaluated under a randomized complete block design. Greenhouse gases included methane (CH4) and carbon dioxide (CO 2 ) fluxes measured at ground level using static chambers, nitrous oxide (N 2 O) emissions calculated using IPCC factors, and simulated enteric methane emissions using the LIFE-SIM model, based on forage biomass and nutritive value. Results CO 2 emissions were numerically similar ( p > 0.05), with greater values in sulfur-coated urea (15,114 kg ha −1 ) and lower in Azospirillum (13,799 kg ha −1 ). Soil CH4 was significantly greater ( p < 0.05) in ammonium nitrate (3.30 kg ha −1 ) with respect to sulfur-coated urea (1.37 kg ha −1 ). Emission intensity was numerically greater in slurry (2.58 kg CO 2 eq kg −1 DM), and lower values in sulfur-coated urea (1.56 kg CO 2 eq kg −1 DM). Conclusions Although some significant differences were found for soil emissions, both CH 4 and N 2 O were a small fraction of the emissions when totalized as CO 2 eq. The type of fertilizer applied to African Stargrass pastures influenced the emission intensity as a result of their impact on grass productivity. This study depicted the impact of soil and enteric emissions in pastures, providing an integrated approach for mitigation strategies to tackle emissions under tropical conditions.

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