Life cycle inventory data for the Italian agri-food sector: background, sources and methodological aspects

Purpose: For the development of any life cycle assessment study, the practitioner frequently integrates primary data collected on-field, with background data taken from various life cycle inventory databases which are part of most commercial LCA software packages. However, such data is often not generally applicable to all product systems since, especially concerning the agri-food sector, available datasets may not be fully representative of the site specificity of the food product under examination. In this context, the present work investigates the background, sources and methodological aspects that characterise the most known commercial databases containing agri-food data, with a focus on four agri-food supply chains (olive oil, wine, wheat products and citrus fruit), which represent an important asset for the Italian food sector. Methods: Specifically, the paper entails a review of currently available LCI databases and their datasets with a twofold scope: firstly, to understand how agri-food data is modelled in these databases for a coherent and consistent representation of regional scenarios and to verify whether they are also suitable for the Italian context and, secondly, to identify and analyse useful and relevant methodological approaches implemented in the existing LCI databases when regional data are modelled. Results: Based on the aforementioned review, it is possible to highlight some problems which may arise when developing an LCI pertaining to the four Italian agri-food supply chains, namely: 1. The need for specific inventory datasets to tackle the specificities of agri-food product systems. 2. The lack of datasets, within the existing DBs, related to the Italian context and to the abovementioned supply chains. In fact, at present, in the currently available LCI DBs, there are very few (or in some cases none) datasets related to Italian wine, olive oil, wheat-based products and citrus fruit. The few available datasets often contain some data related to the Italian context but also approximate data with that of product systems representing other countries. Furthermore, the present study allowed to identify and discuss the main aspects to be used as starting elements for modelling regional data to be included in a future Italian LCI database of the abovementioned four supply chains. Conclusions: The results of the present study represent a starting point for the collection of data and its organisation, in order to develop an Italian LCI agri-food database with datasets which are representative of the regional specificities of four agri-food supply chains which play an important role in the Italian economy

Life cycle inventory data for the Italian agri-food sector: background, sources and methodological aspects

AbstractPurposeFor the development of any life cycle assessment study, the practitioner frequently integrates primary data collected on-field, with background data taken from various life cycle inventory databases which are part of most commercial LCA software packages. However, such data is often not generally applicable to all product systems since, especially concerning the agri-food sector, available datasets may not be fully representative of the site specificity of the food product under examination. In this context, the present work investigates the background, sources and methodological aspects that characterise the most known commercial databases containing agri-food data, with a focus on four agri-food supply chains (olive oil, wine, wheat products and citrus fruit), which represent an important asset for the Italian food sector.MethodsSpecifically, the paper entails a review of currently available LCI databases and their datasets with a twofold scope: firstly, to understand how agri-food data is modelled in these databases for a coherent and consistent representation of regional scenarios and to verify whether they are also suitable for the Italian context and, secondly, to identify and analyse useful and relevant methodological approaches implemented in the existing LCI databases when regional data are modelled.ResultsBased on the aforementioned review, it is possible to highlight some problems which may arise when developing an LCI pertaining to the four Italian agri-food supply chains, namely:1. The need for specific inventory datasets to tackle the specificities of agri-food product systems.2. The lack of datasets, within the existing DBs, related to the Italian context and to the abovementioned supply chains. In fact, at present, in the currently available LCI DBs, there are very few (or in some cases none) datasets related to Italian wine, olive oil, wheat-based products and citrus fruit. The few available datasets often contain some data related to the Italian context but also approximate data with that of product systems representing other countries.Furthermore, the present study allowed to identify and discuss the main aspects to be used as starting elements for modelling regional data to be included in a future Italian LCI database of the abovementioned four supply chains.ConclusionsThe results of the present study represent a starting point for the collection of data and its organisation, in order to develop an Italian LCI agri-food database with datasets which are representative of the regional specificities of four agri-food supply chains which play an important role in the Italian economy

Continuous Improvement of VIVA-Certified Wines: Analysis and Perspective of Greenhouse Gas Emissions

The agri-food sector is one of the major contributors of Greenhouse Gas (GHG) emissions responsible for global climate change. The suitability of world areas for viticulture is evolving due to climate change, with new challenges linked to the sustainability of production. Viticulture and the wine sector in general are, at the same time, impactful sectors associated with negative environmental externalities. The VIVA certification program is focused on the sustainability performance of the vine-wine supply chain in Italy. It comprehends four scientific indicators, called "Air", "Water", "Vineyard", and "Territory". The Air indicator expresses the impact that the production of a specific wine and / or the company activities have on climate change. This paper analyzes and compares GHG emissions of 45 wines certified VIVA 2.0 (or the subsequent 2.1 update). Results showed that the most impactful phase is the bottling phase (average values of 0.58 kg CO2-eq/bottle), which accounts for 41.1% of total emissions, followed by the industrial phase (about 19.9%). The total values of GHG emissions for each wine profile ranged between 0.81 and 2.52 kg CO2-eq/bottle. A coefficient of performances of GHG emissions was calculated to show the weak phase for each wine, a useful tool with a view to continuous improvement

Consumer perceptions of nanotechnology applications in Italian wine

This paper examines Italian consumer acceptance of nanotechnology applications in wine production, surveying wine consumers from the Abruzzo Region. Conjoint and post-hoc segmentation analysis establishes how consumers value different wine product attributes and place them within the context of applications of nanotechnology. Consumers appear relatively unfamiliar with nanotechnology applications, both generally and specifically to food. Although, an overall rejection of the concept of “nano wine” is evident, low acceptance scores disguise a somewhat more open attitude to specific applications of the technology. In particular, consumers appear more receptive to applications that enhance certain wine attributes. Practical implications are discussed

Consumers? food safety perceptions in three Mediterranean countries

The purpose of the study is to investigate and compare consumers' food safety perceptions in three Med-iterranean countries (Greece, Italy, and Spain). A survey was carried out based on a structured ques-tionnaire focusing on food safety-related issues concerning food characteristics, the labeling of systems implemented by food companies such as the Quality Management System and the Food Safety Manage-ment System, consumer trust in the food supply chain, and consumer illusion of food control. Information was collected from individuals located in those three countries (2,664 respondents), which share common characteristics. The results indicate that there is a significant heterogeneity in consumers' food safety perceptions in the three countries. The Spanish sample has the greatest level of trust in the supply chain in terms of food safety and the highest level of illusion of food control. The Italians evaluate the food characteristics and the QMS-FSMS's labeling higher than the Spanish and the Greeks. This multinational study brings to light the different types of food safety concerns of consumers from three Mediterranean countries

Le varietà di orzo da malto.

Nove le varietà in prova in 11 ambienti del Centro-sud e delle Isole. Buona la media produttiva (5,1 t/ha), superiore di ben 1 t/ha rispetto a quella della precedente annata. Le caratteristiche produttive e qualitative delle varietà da malto attualmente disponibili rendono l'orzo da birra una produzione interessante, anche in ragione del sostanziale deficit produttivo di orzo da birra italiano

Risultati nazionali delle varietà da malto

I risultati delle prove 2005-2006 nelle 10 località del Centro-sud e Isole hanno evidenziato buone medie produttive con la conferma a leader della varietà Prosa. I buoni risultati in generale evidenziano ulteriormente l’adattabilità di questa specie alle condizioni mediterranee