Ingrid Strid , Maria Jacobsen , Jesper Rydén , Karin Alvåsen
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引用次数: 0
Abstract
CONTEXT
Food loss is a major problem, as it reduces food system efficiency. Loss of animals is of particular importance, as animal production generally has higher environmental impact.
OBJECTIVE
The objectives were to estimate beef loss rates on Swedish organic and conventional dairy and beef farms, to determine which system is better, and to calculate the food saving potential of assigning the loss rate of the best-performing system to the other.
METHODS
A material flow analysis based on data from the central register of bovine animals and slaughter weight statistics was performed. The flows included numbers and carcass weights of animals, grouped by breed, sex, age, and management system leaving farms for different destinations.
RESULTS AND CONCLUSIONS
Organic farms lost on average 7.4 % of the yearly initial beef production, compared to the 19 % higher 8.8 % for conventional farms. Due to widely different conditions, comparisons between organic and conventional management should primarily be made per animal group. All animal groups had lower loss rates in the organic than in the conventional system. The food saving potential of ascribing organic loss rates to the conventional animals was 1300 tons of beef per year, equivalent to 10 % of all Swedish farm-level beef losses.
SIGNIFICANCE
Organic dairy and beef farming could be a food loss intervention capable of a notable loss reduction. The results also revealed that there is no goal conflict between increased organic production and reduced food loss in Swedish beef production.
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.