Classifying and explaining Walloon dairy farms in terms of sustainable food security using a multiple criteria decision making method

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2024-09-05 DOI:10.1016/j.agsy.2024.104112
Caroline Battheu-Noirfalise , Alexandre Mertens , Arno Faivre , Catherine Charles , Thomas Dogot , Didier Stilmant , Yves Beckers , Eric Froidmont
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Abstract

Land intensive grass-based dairy systems have the highest contribution to food security but may have a higher impact on the environment. The aim of this study was to classify dairy farms in terms of sustainable contribution to food security and analyze the farm characteristics related to these performances. To this end, we performed a sustainability assessment by calculating 17 indicators using FADN data of 209 Walloon (Belgium) dairy farms. Using the Analytical Hierarchy Process, 25 stakeholders of the Walloon milk upstream sector defined preference weights for the indicators. Farms were ranked using ELECTRE III using the mean weights for the dairy sector and grouped in four sustainability groups. A canonical discriminant analysis was performed on farm characteristics. Farm characteristics that negatively impact sustainability are the use of maize silage, the use of concentrates and the CP-content of these concentrates, the farm size, and the number of female followers per cow. The farm characteristic that positively impacts sustainability is the grassland yield. Milk production per cow, age at first calving, and calving interval have a negligible effect on sustainability. These results suggest that feed conversion efficiency is not a main driver of sustainability but rather that specific production means and practices play a more significant role in determining sustainability. Consequently, we argue that the search for efficiency that has been promoted to increase the sustainability of food systems should be placed in a systemic perspective in order to avoid trade-offs with other aspects and that, in general, an increase in efficiency is positively linked with sustainability when achieved through knowledge and technicity rather than by the addition of external inputs.

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采用多重标准决策法,从可持续粮食安全角度对瓦隆奶牛场进行分类和解释
土地集约型草地奶牛养殖系统对粮食安全的贡献最大,但对环境的影响可能更大。本研究的目的是根据奶牛场对粮食安全的可持续贡献进行分类,并分析与这些绩效相关的牧场特征。为此,我们利用瓦隆(比利时)209 个奶牛场的 FADN 数据,通过计算 17 项指标进行了可持续性评估。利用层次分析法,瓦隆牛奶上游行业的 25 个利益相关者确定了各项指标的偏好权重。使用 ELECTRE III,利用乳制品行业的平均权重对牧场进行排序,并将其分为四个可持续发展组。对牧场特征进行了典型判别分析。对可持续性有负面影响的牧场特征包括玉米青贮的使用、精料的使用和精料中的 CP 含量、牧场规模以及每头奶牛的雌性追随者数量。对可持续性有积极影响的牧场特征是草原产量。每头奶牛的产奶量、首次产犊年龄和产犊间隔对可持续性的影响微乎其微。这些结果表明,饲料转化效率并不是可持续发展的主要驱动因素,具体的生产方式和实践在决定可持续发展方面发挥着更重要的作用。因此,我们认为,为提高粮食系统的可持续性而提倡的追求效率的做法应从系统的角度出发,以避免与其他方面的权衡,而且,一般来说,如果是通过知识和技术而不是通过增加外部投入来实现效率的提高,效率的提高与可持续性是正相关的。
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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