Management and production factors that determine greenhouse gas emissions in heterogeneous dairy farms in New Zealand
ニュージーランドの不均一な酪農場における温室効果ガス排出量を決定する経営・生産要因 (AI 翻訳)
Erandi Kalehe Kankanamge, Thiagarajah Ramilan, Peter R. Tozer
🤖 gxceed AI 要約
日本語
本研究は、ニュージーランドの酪農場の不均一性に着目し、温室効果ガス排出量と経営・生産要因との関係を分析した。10年間のパネルデータを用いた分析の結果、総飼料摂取量、窒素肥料施用、灌漑が排出量と営業利益に正の影響を与えることが示された。搾乳頻度の低減は排出削減に有効だが、利益への影響は一様ではなかった。
English
This study explores heterogeneity in New Zealand dairy farms and identifies management and production factors associated with GHG emissions and operating profits. Using panel data from 2012-2022, it finds that total feed intake, nitrogen fertilizer, and irrigation increase both emissions and profits. Lower milking frequency reduces emissions but has mixed profit effects.
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
本論文はニュージーランドの酪農業が対象だが、日本の畜産分野における排出量算定と削減策の設計に参考となる。特に、飼料や肥料の使用と収益性のトレードオフは、日本の農業政策においても重要である。
In the global GX context
This paper provides empirical evidence on GHG emissions from dairy farming, relevant for agricultural scope 1 accounting. It highlights trade-offs between emissions and profitability, informing mitigation strategies globally.
👥 読者別の含意
🔬研究者:Researchers can use the empirical relationships between management factors and emissions to improve agricultural GHG models.
🏢実務担当者:Dairy farm managers can use findings on feed and fertilizer impacts to explore cost-effective emission reductions.
🏛政策担当者:Policymakers can consider farm-level heterogeneity when designing agricultural emission reduction policies.
📄 Abstract（原文）
The New Zealand dairy industry accounts for approximately 25% of national greenhouse gas (GHG) emissions. Dairy farms are heterogeneous in their management and production characteristics, resulting in varying emissions across farms. This variability in emissions leads to diverse abatement costs and GHG mitigation potential. This study aimed to explore farm heterogeneity in GHG emissions and identify key management and production factors associated with emissions and operating profits across New Zealand’s dairy farms. Unbalanced longitudinal panel data from DairyBase spanning 10 consecutive milking seasons (2012-13 to 2021-22) were used. Pearson correlation analysis was used to examine associations among GHG emissions, farm management and production indicators. Linear mixed-effects regression model was then applied to estimate the effects of key management and production factors on emissions and operating profits. The results revealed regional heterogeneity in farm characteristics and emissions across dairy farms. Total GHG emissions showed an overall increasing trend over the study period, with year-to-year fluctuations. GHG emissions per hectare showed strong positive associations with key production indicators, including milk solids production per hectare ( r = 0.82), total feed intake per hectare ( r = 0.76), pasture and crop intake ( r = 0.75), and stocking rate ( r = 0.72). Total feed intake, nitrogen fertilizer application, and irrigation showed significant positive effects on both emissions and operating profits. Transitioning from twice-a-day to lower milking frequency showed reduced emissions but mixed results for operating profit. The findings highlight that reduced use of nitrogen fertilizer and supplementary feeds corresponded with reduced emissions but also with reduced farm profits. Given the diversity in farm characteristics and emissions across dairy farms, further investigation through farm-level classification is needed to identify effective farm-specific GHG mitigation options.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.3389/fsufs.2026.1815126first seen 2026-06-03 05:54:44
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