Parajuli Ranjan, Gustafson Dave, Asseng Senthold, Stöckle Claudio O, Kruse John, Zhao Chuang, Intrapapong Pon, Matlock Marty D, Thoma Greg
Ralph E. Martin Department of Chemical Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
Agriculture & Food Systems Institute, Washington, DC 20005, USA.
Data Brief. 2020 Dec 10;34:106639. doi: 10.1016/j.dib.2020.106639. eCollection 2021 Feb.
This article elaborates on the life cycle assessment (LCA) protocol designed for formulating the life cycle inventories (LCIs) of fruit and vegetable (F&V) supply chains. As a set of case studies, it presents the LCI data of the processed vegetable products, (a) potato: chips, frozen-fries, and dehydrated flakes, and (b) tomato-pasta sauce. The data can support to undertake life cycle impact assessment (LCIA) of food commodities in a "cradle to grave" approach. An integrated F&V supply chain LCA model is constructed, which combined three components of the supply chain: farming system, post-harvest system (processing until the consumption) and bio-waste handling system. We have used numbers of crop models to calculate the crop yields, crop nutrient uptake, and irrigation water requirements, which are largely influenced by the local agro-climatic parameters of the selected crop reporting districts (CRDs) of the United States. For the farming system, LCI information, as shown in the data are averaged from the respective CRDs. LCI data for the post-harvest stages are based on available information from the relevant processing plants and the engineering estimates. The article also briefly presents the assumptions made for evaluating future crop production scenarios. Future scenarios integrate the impact of climate change on the future productivity and evaluate the effect of adaptation measures and technological advancement on the crop yield. The provided data are important to understand the characteristics of the food supply chain, and their relationships with the life cycle environmental impacts. The data can also support to formulate potential environmental mitigation and adaptation measures in the food supply chain mainly to cope with the adverse impact of climate change.
本文详细阐述了为制定水果和蔬菜(F&V)供应链生命周期清单(LCI)而设计的生命周期评估(LCA)协议。作为一组案例研究,它展示了加工蔬菜产品的LCI数据,(a)土豆:薯片、冷冻薯条和脱水薄片,以及(b)番茄酱。这些数据有助于以“从摇篮到坟墓”的方法对食品进行生命周期影响评估(LCIA)。构建了一个综合的F&V供应链LCA模型,该模型结合了供应链的三个组成部分:种植系统、收获后系统(加工直至消费)和生物废弃物处理系统。我们使用了多个作物模型来计算作物产量、作物养分吸收和灌溉用水需求,这些很大程度上受美国选定作物报告区(CRD)当地农业气候参数的影响。对于种植系统,数据中所示的LCI信息是各CRD的平均值。收获后阶段的LCI数据基于相关加工厂的可用信息和工程估算。本文还简要介绍了评估未来作物生产情景所做的假设。未来情景综合了气候变化对未来生产力的影响,并评估适应措施和技术进步对作物产量的影响。所提供的数据对于理解食品供应链的特征及其与生命周期环境影响的关系非常重要。这些数据还有助于制定食品供应链中潜在的环境缓解和适应措施,主要是为了应对气候变化的不利影响。