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76 Sustainability and Efficiency of Dairy Production Is Affected By Crops.

酪農生産の持続可能性と効率性は作物に影響される (AI 翻訳)

J.L. Vicini, Gabe McNunn

Journal of Animal Science📚 査読済 / ジャーナル2018-04-01#その他Origin: US対象セクター: agriculture
DOI: 10.1093/jas/sky073.074
原典: https://doi.org/10.1093/jas/sky073.074

🤖 gxceed AI 要約

日本語

米国コーンベルト12州を対象に、GM作物と慣行作物のトウモロコシ・ダイズ栽培システムを比較し、温室効果ガス排出量と土壌侵食をモデル解析した。その結果、GM作物と不耕起栽培の組み合わせにより、トウモロコシ生産の平均GHG排出量が8.7-14.3kg CO2e/bu削減され、土壌損失も大幅に減少することが示された。これにより、GM作物を飼料として利用することで畜産物生産の持続可能性が向上すると結論付けている。

English

This study models GHG emissions and soil erosion across 12 US Corn Belt states, comparing conventional and GM corn/soybean systems for dairy feed. Switching to reduced/no-till GMO systems could cut corn production emissions by 8.7–14.3 kg CO2e/bu and reduce soil loss substantially. The authors argue that feeding GM crops makes dairy production more sustainable.

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GM作物の飼料利用に対する消費者の懸念が根強いが、本論文は飼料作物の栽培方法が畜産由来GHG排出に与える定量的影響を示しており、日本の酪農における持続可能性向上策を検討する上で参考になる。ただし、日本の栽培条件や規制環境は米国と異なるため、直接適用には注意が必要。

In the global GX context

This paper provides quantitative evidence for how cropping system choices (GM vs conventional, tillage) affect the carbon footprint of dairy supply chains. It contributes to global discussions on agricultural GHG accounting and sustainable intensification, relevant to Scope 3 reporting for food companies under ISSB/CSRD frameworks.

👥 読者別の含意

🔬研究者:農業GHG排出量のモデリング手法と比較評価の事例として有用。

🏢実務担当者:飼料調達や栽培管理の変更による排出削減ポテンシャルの参考になる。

🏛政策担当者:農業部門の脱炭素政策において、技術選択と排出削減の関係を検討する際の基礎データ。

📄 Abstract(原文)

Animal agriculture is challenged with societal issues such as animal welfare, antibiotic use, food vs feed, nutritional needs of humans for animal protein, and sustainability. Some of these issues can be emotional and accurate information is required to engage on these topics. Agriculture, both crop and animal ag, is considered a major contributor to greenhouse gases (GHG); however, agriculture can be a solution for storing GHG. Cropping systems are major decisions for dairy farms and most farms in the US rely in large part on genetically modified (GM) crops. In the US, more than 90% of corn, soybean and cotton are GM and animals are a major consumer of these crops. Current benefits of GM crops are from input traits, such as herbicide tolerance and insect resistance. Even though trusted organizations, like the National Academies of Sciences, have concluded that GM foods are as safe as conventional foods, consumers don’t always perceive the value of these traits. This has affected consumer acceptance of GM technology as well as how meat, milk and eggs are produced. To better understand the ecosystem impacts associated with various management practices applied to both GM and conventional hybrid corn and soybean cropping systems, a model-based analysis was performed across 12 states in the U.S. corn-belt. The analysis generated potential erosion and GHG emissions estimates associated with the implementation of several practices based on public SSURGO data, NASS crop productivity data, and spatially explicit weather data. Rill and inter-rill erosion resulting from rainfall and surface runoff were modeled and sediment loss and deposition due to wind was simulated. In addition to erosion, soil organic carbon (SOC) change and nitrous oxide flux (N2O) were modeled using the Denitrification-Decomposition model (DNDC). Based on the analysis, average GHG emissions associated with corn production across the 12-state region could be reduced by an estimated 8.7 kg CO2e/bu and 14.3 kg CO2e/bu by switching from conventional hybrid production to a reduced till and no-till GMO system, respectively. A corresponding average reductions in soil loss of 10.9tn/ac and 13.6 tn/ac due to water and wind erosion were also estimated based on a change to a reduced till or no-till GMO system. Based on the model estimates, feeding GM crops makes production of meat, milk and eggs more sustainable with respect to GHG emissions and erosion.

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