中国乳业 ›› 2024, Vol. 0 ›› Issue (11): 45-49.doi: 10.12377/1671-4393.24.11.07

• 智慧养殖专题 • 上一篇    下一篇

数字牧场助手:奶牛场可持续性、效率及环境影响的评估工具

汪俊彦, 郭凯军*   

  1. 北京农学院,北京 100096
  • 出版日期:2024-11-25 发布日期:2024-12-10
  • 通讯作者: *郭凯军(1973-),男,河南西平人,博士,教授,硕士生导师,研究方向为智慧牧业科学与工程。
  • 作者简介:汪俊彦(2001-),男,湖北黄冈人,在读硕士,研究方向为智慧牧业科学与工程。
  • 基金资助:
    北京市家畜创新团队项目(BAIC05-2024)

NEU.rind-Digital Farm Assistant for Assessing Sustainability, Efficiency and Environmental Impact on the Dairy Farm

WANG Junyan, GUO Kaijun*   

  1. Beijing University of Agriculture, Beijing 100096
  • Online:2024-11-25 Published:2024-12-10

摘要: 为减少奥地利养牛业对环境的影响并提高牧场可持续性,必须针对性地提出建议措施。然而,只有在掌握各牧场的有效关键数据和具体措施的潜力信息后,才能提供这类建议。为此,具有代表性和可比性的关键数据与基准不可或缺。本文通过与研究机构、牧场主代表、记录机构、咨询机构、乳品加工和销售机构的代表合作,确定了详细的需求。为减少数据记录的工作量,在一些具有国际可比性的特定牧场指标上,应尽可能多地运用预先收集的数据来评估牧场的可持续性。这些数据源于中央牛群数据库并与其他官方及相关数据相连,如牧场的土地使用情况(来源于综合管理和控制系统,IACS)或经济参数。现有数据与农场原始数据相互补充。依据环境相关的生命周期评估(LCA)工具计算8 项综合指标,涵盖全球变暖、饲料-粮食竞争、氨排放、累积能量需求、生物多样性等内容,并辅以动物健康和经济方面的关键数据进行分析。分析的指标单位为每公斤牛奶、每公顷土地面积或每个农场。本文对收集数据进行敏感性分析和准确性分析,避免因部分农场数据记录减少而引起变化。目前,运用一个数据收集模型对代表不同环境条件和生产系统的200 个奶牛场进行分析,并在此基础上,设计出对用户友好的数字农场助手最终版本,以供日常使用。

关键词: 温室气体排放, 碳足迹, 在线工具

Abstract: In order to reduce the environmental impact of Austrian cattle farming and to improve sustainability,farm-specific recommendations for action are essential. However,these can only be provided if meaningful key figures and information on the potential of farmspecific measures are known for individual farms. Representative and comparable key figures with benchmarking are essential for this. In collaboration with representatives from research,farmer representatives,recording organisations,consultancies,dairy processing and marketing organisations,needs and requirements were elaborated. We use as much pre-collected data as possible to assess highly important sustainability aspects on a dairy farm-specific but internationally comparable level by aiming at reducing the workload for data recording. These data come from the central cattle database and interfaces to other official and relevant data,e.g. farms’ land use (from the Integrated Administration and Control System,IACS)or economic parameters. Existing data are supplemented with on-farm primary data to calculate eight aggregated indicators based on life cycle assessment methods in the environmental dimension. Indicators cover global warming,food-feed-competition, ammonia emissions,cumulative energy demand,biodiversity aspects and are complemented by animal health aspects and economic key figures. Functional units are kg milk,hectare and farm. Sensitivity analyses have been conducted to assess the most important data and changes in accuracy due to minimised additional farm data records. Currently,we used a prototype for data collection to analyse 200 dairy farms representing different environmental conditions and production systems. Based on that information,we will elaborate a final user-friendly version of the digital farm assistant for routine use.

Key words: greenhouse gas emissions, carbon footprint, online tool

[1] Twine R.Emissions from animal agriculture—16.5% is the new minimum figure[J].Sustainability,2021,13(11):6276.
[2] Leip A,Weiss F,Wassenaar T,et al.Evaluation of the livestock sector’s contribution to the EU greenhouse gas emissions(GGELS)- final report[M].Ispra:European Commission-Joint Research Centre,2010.
[3] Mottet A,Teillard F,Boettcher P,et al.Review:Domestic herbivores and food security:current contribution,trends and challenges for a sustainable development[J].Animal(Cambridge,England),2018,12(2):188-198.
[4] Schiano A N,Harwood W S,Gerard P D,et al.Consumer perception of the sustainability of dairy products and plant-based dairy alternatives[J]. Journal of Dairy Science,2020,103(12):11228-11243.
[5] Schils R L,Olesen J E,del Prado A,et al. A review of farm level modelling approaches for mitigating greenhouse gas emissions from ruminant livestock systems[J]. Livestock Science,2007,112(3):240-251.
[6] Robling H,Abu Hatab A,Säll S,et al.Measuring sustainability at farm level - A critical view on data and indicators[J]. Environmental and Sustainability Indicators,2023,18:100258.
[7] Herndl M,Baumgartner D U,Guggenberger T,et al.Einzelbetriebliche Ökobilanzierung landwirtschaftlicher Betriebe in Österreich[A]. Abschlussbericht[C]. BMLFUW,2016.
[8] European Commission.EDA(European Dairy Association,2018)product environmental footprint category rules for dairye products[EB/OL].https://ec.europa.eu/environment/eussd/smgp/pdf/PEFCR-DairyProducts_Feb%202020,2022-01-13.
[9] Curran M,de Souza D M,Antón A,et al. How well does LCA model land use impacts on biodiversity? - A comparison with approaches from ecology and conservation[J]. Environmengtal Science and Technology,2016,50(6):2782-2795.
[10] Ademe,Inrae.Agribalyse version 3. In. France[EB/OL]. https://agribalyse.ademe.fr,2022-01-05.
[11] Steffen W,Richardson K,Rockstrom J,et al.Planetary boundaries:Guiding human development on a changing planet[J]. Science,2015,347(6223):1259855-1259855.
[12] IDF(International Dairy Federation). The IDF global Carbon Footprint standard for the dairy sector. Bulletin of the IDF No. 520/2022[EB/OL]. https://shop.fil-idf.org/products/the-idf-global-carbon-footprint-standard-for-the-dairy-sector,2023-09-15.
[13] ICAR.List of sustainability traits[EB/OL]. https://www.icar.org/wp-content/uploads/2023/05/ICAR-sustainability-traits-v3.pdf,2023-09-15.
[14] IPCC(Intergovernmental Panel On Climate Change). Climate Change2021 - The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[EB/OL]. https://doi.org/10.1017/9781009157896,2023-08-24
[15] Ertl P,Klocker H,Hörtenhuber S,et al.The net contribution of dairy production to human food supply:The case of Austrian dairy farms[J]. Agricultural Systems,2015,137:119-125.
[16] Ertl P,Steinwidder A,Schönauer M,et al.Net food production of different livestock:A national analysis for Austria including relative occupation of different land categories/NettoLebensmittelproduktion der Nutztierhaltung:Eine nationale Analyse für Österreich inklusive relativer Flächenbeanspruchung[J]. Die Bodenkultur:Journal of Land Management, Food and Environment,2016,67(2):91-103.
[17] Chaudhary A,Brooks T M.Land use intensity-specific global characterization factors to assess product biodiversity footprints[J]. Environmental Science and Technology,2018,52(9):5094-5104.
[18] ICAR-Conference2021 Reducing environmental impact in the Dutch dairy sector with ANCA-tool[EB/OL]. https://www.icar.org/wp-content/uploads/2021/06/15.1-Michel-de-Haan.pdf.
[19] Arla. Arla´s climate check tool[EB/OL]. https://www.arla.com/sustainability/sustainable-dairy-farming/how-we-measure-dairy-farmings-carbon-footprint/,2023-09-15.
[20] Warner D,Vasseur E,Villettaz R M,et al.Development of a benchmarking tool for dairy herd management using routinely collected herd records[J]. Animals,2020,10(9):1689.
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