Wine grape must deal with serious problems due to the unfavorable climatic conditions resulted from global warming. High temperatures result in oxidative damages to grape vines. The excessive elevated temperatures are critical for grapevine productivity and survival and contribute to degradation of grape and wine quality and yield. Elevated temperature can negatively affect anthocyanin accumulation in red grape. Particularly, cv. Sangiovese was identified to be very sensitive to such condition. The quantitative real-time PCR analysis showed that flavonoid biosynthetic genes were slightly repressed by high temperature. Also, the heat stress repressed the expression of the transcription factor “VvMYBA1” that activates the expression of UFGT. Moreover, high temperatures had repressing effects on the activity of the flavonoids biosynthetic enzymes “PAL” and “UFGT”.Anthocyanin accumulation in berry skin is due to the balance between its synthesis and oxidation. In grape cv. Sangiovese, the gene transcription and activity of peroxidases enzyme was elevated by heat stress as a defensive mechanism of ROS-scavenging. Among many isoforms of peroxidases genes, one gene (POD 1) was induced in Sangiovese under thermal stress condition. This gene was isolated and evaluated via the technique of genes transformation from grape to Petunia. Reduction in anthocyanins concentration and higher enzymatic activity of peroxidase was observed in POD 1 transformed Petunia after heat shock compared to untrasformed control. Moreover, in wine producing regions, it is inevitable for the grape growers to adopt some adaptive strategies to alleviate grape damages to abiotic stresses. Therefore, in this thesis, the technique of post veraison trimming was done to improve the coupling of phenolic and sugar ripening in Vitis vinifera L. cultivar Sangiovese. Trimming after veraison showed to be executable to slow down the rate of sugar accumulation in grape (to decrease the alcohol potential in wines) without evolution of the main berry flavonoids compounds.

La ricerca proposta si pone l’obiettivo di definire e sperimentare un metodo per un’articolata e sistematica lettura del territorio rurale, che, oltre ad ampliare la conoscenza del territorio, sia di supporto ai processi di pianificazione paesaggistici ed urbanistici e all’attuazione delle politiche agricole e di sviluppo rurale. Un’approfondita disamina dello stato dell’arte riguardante l’evoluzione del processo di urbanizzazione e le conseguenze dello stesso in Italia e in Europa, oltre che del quadro delle politiche territoriali locali nell’ambito del tema specifico dello spazio rurale e periurbano, hanno reso possibile, insieme a una dettagliata analisi delle principali metodologie di analisi territoriale presenti in letteratura, la determinazione del concept alla base della ricerca condotta. E’ stata sviluppata e testata una metodologia multicriteriale e multilivello per la lettura del territorio rurale sviluppata in ambiente GIS, che si avvale di algoritmi di clustering (quale l’algoritmo IsoCluster) e classificazione a massima verosimiglianza, focalizzando l’attenzione sugli spazi agricoli periurbani. Tale metodo si incentra sulla descrizione del territorio attraverso la lettura di diverse componenti dello stesso, quali quelle agro-ambientali e socio-economiche, ed opera una sintesi avvalendosi di una chiave interpretativa messa a punto allo scopo, l’Impronta Agroambientale (Agro-environmental Footprint - AEF), che si propone di quantificare il potenziale impatto degli spazi rurali sul sistema urbano. In particolare obiettivo di tale strumento è l’identificazione nel territorio extra-urbano di ambiti omogenei per caratteristiche attraverso una lettura del territorio a differenti scale (da quella territoriale a quella aziendale) al fine di giungere ad una sua classificazione e quindi alla definizione delle aree classificabili come “agricole periurbane”. La tesi propone la presentazione dell’architettura complessiva della metodologia e la descrizione dei livelli di analisi che la compongono oltre che la successiva sperimentazione e validazione della stessa attraverso un caso studio rappresentativo posto nella Pianura Padana (Italia). / The research aims to define, test and validate a methodology for a comprehensive and systematic analysis of the countryside, suitable to broaden the knowledge of the rural landscape, and support the landscape and urban planning process and the implementation of rural development policies. An in-depth study of the state of the art concerning the evolution of urbanisation processes and their consequences in Italy and Europe, analysis of local and regional policies focused on rural and suburban areas, and of the scientific literature in the field of spatial analysis methodologies, have allowed the definition of the basic concept of the research. A multi-criteria and multi-level methodology for the analysis of rural areas has been developed in a GIS and tested on a case study. The proposed method is based on clustering algorithms and maximum-likelihood classification techniques, and focuses on periurban agricultural areas. The method allows to achieve an objective synthesis of the several variables selected and defined to cover various agro-environmental and socio-economic landscape components, by means of an innovative interpretative key, the “Agri-environmental Footprint (AEF)”, which aims to quantify the potential impacts of rural areas on the urban system. The specific goal of the proposed methodology is to identify homogeneous extra-urban areas through their objective characterisation at different scales (from the territorial to the farm level), in order to classify the whole rural landscape, and in particular to identify peri-urban agricultural areas. The thesis presents the overall architecture of the proposed methodology and the in-depth description of its levels of analysis. The method is then tested and validated on a representative case study in the Po Valley (Italy).

This research deals with the deepening and use of an environmental accounting matrix in Emilia-Romagna, RAMEA air emissions (regional NAMEA), carried out by the Regional Environment Agency (Arpa) in an European project. After a depiction of the international context regarding the widespread needing to integrate economic indicators and go beyond conventional reporting system, this study explains the structure, update and development of the tool. The overall aim is to outline the matrix for environmental assessments of regional plans, draw up sustainable reports and monitor effects of regional policies in a sustainable development perspective. The work focused on an application of a Shift-Share model, on the integration with eco-taxes, industrial waste production, energy consumptions, on applications of the extended RAMEA as a policy tool, following Eurostat guidelines. The common thread is the eco-efficiency (economic-environmental efficiency) index. The first part, in English, treats the methodology used to build a more complete tool; in the second part RAMEA has been applied on two regional case studies, in Italian, to support decision makers regarding Strategic Environmental Assessments’ processes (2001/42/EC). The aim is to support an evidence-based policy making by integrating sustainable development concerns at all levels. The first case study regards integrated environmental-economic analyses in support to the SEA of the Regional Waste management plan. For the industrial waste production an extended and updated RAMEA has been developed as a useful policy tool, to help in analysing and monitoring the state of environmental-economic performances. The second case study deals with the environmental report for the SEA of the Regional Program concerning productive activities. RAMEA has been applied aiming to an integrated environmental-economic analysis of the context, to investigate the performances of the regional production chains and to depict and monitor the area where the program should be carried out, from an integrated environmental-economic perspective. / La ricerca ha riguardato lo sviluppo, l’aggiornamento e l’estensione della matrice regionale di contabilità ambientale RAMEA (Regional Accounting Matrix including Environmental Accounts) air emissions, adattata alla Regione Emilia-Romagna e annoverata tra gli Strumenti di sostenibilità nella Relazione dello Stato dell’Ambiente. Lo studio, svolto in collaborazione con Arpa Emilia-Romagna, seguendo linee guida di Eurostat e inserendosi nel contesto internazionale di ricerca di nuovi indicatori per la misurazione del benessere nelle dimensioni dello sviluppo sostenibile, ha curato la metodologia di estensione della matrice ai temi ambientali previsti dal framework europeo: consumi energetici, imposte ambientali e produzione di rifiuti speciali. L’obiettivo è il supporto alla pianificazione regionale nelle fasi di valutazione e monitoraggio delle politiche, interpretando l’esigenza di riformare i processi decisionali attraverso lo sviluppo di strumenti di supporto alle decisioni in un’ottica di integrazione tra economia e ambiente, esigenza anticipata già dall’Agenda21 nel 1992. La dissertazione risulta organizzata in una prima parte in lingua inglese, dedicata all’illustrazione del contesto internazionale, origine, metodologia, approfondimenti, sviluppo, aggiornamento e finalità della matrice. La seconda parte, in lingua italiana, verte su due casi studio che hanno previsto l’applicazione della ricerca a due procedure di VAS nell’ambito della pianificazione regionale. Nel primo caso si sono predisposte analisi economico-ambientali della produzione di rifiuti urbani e speciali in relazione al contesto socio-economico e alla valutazione dell’eco-efficienza, indice di efficienza economico-ambientale e filo conduttore della tesi. La produzione di rifiuti speciali è stata considerata tramite RAMEA e analisi integrate utili a studiare, monitorare negli anni le interrelazioni tra performance economiche e ambientali dei settori produttivi, fornendo quadri informativi utili al processo decisionale e di VAS. Con il secondo caso si è voluto contribuire alla redazione del rapporto ambientale di un programma regionale tramite RAMEA e relative analisi integrate economico-ambientali utili all’interpretazione delle filiere produttive regionali e del contesto di riferimento.

During the last decade peach and nectarine fruit have lost considerable market share, due to increased consumer dissatisfaction with quality at retail markets. This is mainly due to harvesting of too immature fruit and high ripening heterogeneity. The main problem is that the traditional used maturity indexes are not able to objectively detect fruit maturity stage, neither the variability present in the field, leading to a difficult post-harvest management of the product and to high fruit losses. To assess more precisely the fruit ripening other techniques and devices can be used. Recently, a new non-destructive maturity index, based on the vis-NIR technology, the Index of Absorbance Difference (IAD), that correlates with fruit degreening and ethylene production, was introduced and the IAD was used to study peach and nectarine fruit ripening from the “field to the fork”. In order to choose the best techniques to improve fruit quality, a detailed description of the tree structure, of fruit distribution and ripening evolution on the tree was faced. More in details, an architectural model (PlantToon®) was used to design the tree structure and the IAD was applied to characterize the maturity stage of each fruit. Their combined use provided an objective and precise evaluation of the fruit ripening variability, related to different training systems, crop load, fruit exposure and internal temperature. Based on simple field assessment of fruit maturity (as IAD) and growth, a model for an early prediction of harvest date and yield, was developed and validated. The relationship between the non-destructive maturity IAD, and the fruit shelf-life, was also confirmed. Finally the obtained results were validated by consumer test: the fruit sorted in different maturity classes obtained a different consumer acceptance. The improved knowledge, leaded to an innovative management of peach and nectarine fruit, from “field to market”.

Ethylene plays an important role in apple fruit development. Its biosynthesis is catalyzed by two enzymes ACS and ACO. The first is considered to catalyzes the rate-limiting step of ethylene production and in apple two different alleles (MdACS1-1 and MdACS1-2) of this gene have been identified. The presence in the promoter region of MdACS1-2 allele of a SINE insertion is considered to be responsible for a low transcription level and a pronounced reduction in ethylene production in apple cultivar homozygous for this allele. However, the specific expression of each MdACS1 allele has never been reported as well as any in vivo analysis of its 5’-flanking region. With the present study we addressed these issues by developing a set of qPCR allele specific primers for MdACS1 and by a functional characterization of the MdACS1 promoters by transient expression analysis. qPCR analysis on different apple tissues and stages of development demonstrated that MdACS1-2 allele is never express and that MdACS1-1 allele is ripening-related and expresses predominantly but not exclusively in apple fruit. To test MdACS1 promoter in fruit the only protocol available in literature for transient transformation of apple fruit was evaluated and optimized. Twenty chimeric promoter::reporter constructs were generated and analyzed by Agrobacterium-transient transformation. The in vivo analysis allowed to identify an enhancer-like region of 261 bp in MdACS1 promoter and a region of 57 bp in MdACS1-2 responsible, also if not alone, in the inactivation of the MdACS1-2 allele. Through the assessment of ethylene production in a segregating progeny derived from the cross between Fuji and Mondial Gala (homozygous for MdACS1-2 allele) we demonstrated that at least two other genes may be involved in apple ethylene production. An hypothesis that could explain the difference between Fuji and Mondial Gala have been proposed.

The effect of soil incorporation of 7 Meliaceae derivatives (6 commercial neem cakes and leaves of Melia azedarach L.) on C and N dynamics and on nutrient availability to micropropagated GF677 rootstock was investigated. In a first laboratory incubation experiment the derivatives showed different N mineralization dynamics, generally well predicted by their C:N ratio and only partly by their initial N concentration. All derivatives increased microbial biomass C, thus representing a source of C for the soil microbial population. Soil addition of all neem cakes (8 g kg-1) and melia leaves (16 g kg-1) had a positive effect on plant growth and increased root N uptake and leaf green colour of micropropagated plants of GF677. In addition, the neem cakes characterized by higher nutrient concentration increased P and K concentration in shoot and leaves 68 days after the amendment. In another experiment, soil incorporation of 15N labeled melia leaves (16 g kg-1) had no effect on the total amount of plant N, however the percentage of melia derived-N of treated plants ranged between 0.8% and 34% during the experiment. At the end of the growing season, about 7% of N added as melia leaves was recovered in plant, while 70% of it was still present in soil. Real C mineralization and the priming effect induced by the addition of the derivatives were quantified by a natural 13C abundance method. The real C mineralization of the derivatives ranged between 22% and 40% of added-C. All the derivatives studied induced a positive priming effect and, 144 days after the amendment, the amount of C primed corresponded to 26% of added-C, for all the derivatives. Despite this substantial priming effect, the C balance of the soil, 144 days after the amendment, always resulted positive.

Modern food systems are characterized by a high energy intensity as well as by the production of large amounts of waste, residuals and food losses. This inefficiency presents major consequences, in terms of GHG emissions, waste disposal, and natural resource depletion. The research hypothesis is that residual biomass material could contribute to the energetic needs of food systems, if recovered as an integrated renewable energy source (RES), leading to a sensitive reduction of the impacts of food systems, primarily in terms of fossil fuel consumption and GHG emissions. In order to assess these effects, a comparative life cycle assessment (LCA) has been conducted to compare two different food systems: a fossil fuel-based system and an integrated system with the use of residual as RES for self-consumption. The food product under analysis has been the peach nectar, from cultivation to end-of-life. The aim of this LCA is twofold. On one hand, it allows an evaluation of the energy inefficiencies related to agro-food waste. On the other hand, it illustrates how the integration of bioenergy into food systems could effectively contribute to reduce this inefficiency. Data about inputs and waste generated has been collected mainly through literature review and databases. Energy balance, GHG emissions (Global Warming Potential) and waste generation have been analyzed in order to identify the relative requirements and contribution of the different segments. An evaluation of the energy “loss” through the different categories of waste allowed to provide details about the consequences associated with its management and/or disposal. Results should provide an insight of the impacts associated with inefficiencies within food systems. The comparison provides a measure of the potential reuse of wasted biomass and the amount of energy recoverable, that could represent a first step for the formulation of specific policies on the integration of bioenergies for self-consumption.

The evaluation of the farmers’ communities’ approach to the Slow Food vision, their perception of the Slow Food role in supporting their activity and their appreciation and expectations from participating in the event of Mother Earth were studied. The Unified Theory of Acceptance and Use of Technology (UTAUT) model was adopted in an agro-food sector context. A survey was conducted, 120 questionnaires from farmers attending the Mother Earth in Turin in 2010 were collected. The descriptive statistical analysis showed that both Slow Food membership and participation to Mother Earth Meeting were much appreciated for the support provided to their business and the contribution to a more sustainable and fair development. A positive social, environmental and psychological impact on farmers also resulted. Results showed also an interesting perspective on the possible universality of the Slow Food and Mother Earth values. Farmers declared that Slow Food is supporting them by preserving the biodiversity and orienting them to the use of local resources and reducing the chemical inputs. Many farmers mentioned the language/culture and administration/bureaucratic issues as an obstacle to be a member in the movement and to participate to the event. Participation to Mother Earth gives an opportunity to exchange information with other farmers’ communities and to participate to seminars and debates, helpful for their business development. The absolute majority of positive answers associated to the farmers’ willingness to relate to Slow Food and participate to the next Mother Earth editions negatively influenced the UTAUT model results. A factor analysis showed that the variables associated to the UTAUT model constructs Performance Expectancy and Effort Expectancy were consistent, able to explain the construct variability, and their measurement reliable. Their inclusion in a simplest Technology Acceptance Model could be considered in future researches.

Il pomodoro è una delle colture principali del panorama agro-alimentare italiano e rappresenta un ingrediente base della tradizione culinaria nazionale. Il pomodoro lavorato dall’industria conserviera può essere trasformato in diverse tipologie merceologiche, che si differenziano in base alla tecniche di lavorazione impiegate ed alle caratteristiche del prodotto finito. la percentuale di spesa totale destinata all’acquisto di cibo fuori casa è in aumento a livello globale e l’interesse dell’industria alimentare nei confronti di questo canale di vendita è quindi crescente. Mentre sono numerose le indagine in letteratura che studiano i processi di acquisto dei consumatori finali, non ci sono evidenze di studi simili condotti sugli operatori del Food Service. Obiettivo principale della ricerca è quello di valutare le preferenze dei responsabili acquisti del settore Food Service per diverse tipologie di pomodoro trasformato, in relazione ad una gamma di attributi rilevanti del prodotto e di caratteristiche del cliente. La raccolta dei dati è avvenuta attraverso un esperimento di scelta ipotetico realizzato in Italia e alcuni mercati esteri. Dai risultati ottenuti dall’indagine emerge che i Pelati sono la categoria di pomodoro trasformato preferita dai responsabili degli acquisti del settore Food Service intervistati, con il 35% delle preferenze dichiarate nell'insieme dei contesti di scelta proposti, seguita dalla Polpa (25%), dalla Passata (20%) e dal Concentrato (15%). Dai risultati ottenuti dalla stima del modello econometrico Logit a parametri randomizzati è emerso che alcuni attributi qualitativi di fiducia (credence), spesso impiegati nelle strategie di differenziazione e posizionamento da parte dell’industria alimentare nel mercato Retail, possono rivestire un ruolo importante anche nell’influenzare le preferenze degli operatori del Food Service. Questo potrebbe quindi essere un interessante filone di ricerca da sviluppare nel futuro, possibilmente con l'impiego congiunto di metodologie di analisi basate su esperimenti di scelta ipotetici e non ipotetici. / Tomato is one of the most important crops of Italian agri-food sector and it is one of the main ingredient in the national culinary tradition. Fresh tomatoes can be processed by Food Industry into different categories (peeled tomatoes, tomato puree, chopped pulp, concentrate), which differ mainly for the production method used and the main features of finished product. The proportion of food expenditures going to the Food-away-from-home (FAFH) market is increasing globally. Food industry is then looking with higher interest for new business opportunities into this market channel. There is a large literature on consumers’ purchase behavior, but there are no evidences of studies on customers preferences in the Food Service market. This study analyses preferences of Food Service market customers for different types of processed tomato, according to some relevant product attributes and customer's characteristics. Data were collected through a hypothetical discrete choice experiment conducted in Italy and in some foreign markets. Results show that peeled tomatoes are the processed tomato type preferred by Food Service customers (35% of the preferences), followed by chopped pulp (25%) , tomato puree (20%) and tomato concentrate (15%). Econometric results, obtained through the estimation of a Random Parameter Logit model, indicate that customers’ preferences can be influenced by credence attributes of food products. Such kind of product characteristics are frequently used by Food Industry for market differentiation and positioning strategies in the Retail market; nonetheless, evidences from this survey suggest that they may play an important role also in influencing purchase decisions in the Food Service market. The findings of this study might be interesting for further researches on this market channel, using hypothetical and non-hypothetical methods jointly to test the robustness of these preliminary results.

Italy registers a fast increase of low income population. Academics and policy makers consider income inequalities as a key determinant for low or inadequate healthy food consumption. Thus the objective is to understand how to overcome the agrofood chain barriers towards healthy food production, commercialisation and consumption for population at risk of poverty (ROP) in Italy. The study adopts a market oriented food chain approach, focusing the research ambit on ROP consumers, processing industries and retailers. The empirical investigation adopts a qualitative methodology with an explorative approach. The actors are investigated through 4 focus groups for consumers and carrying out 27 face to face semi-structured interviews for industries and retailers’ representatives. The results achieved provide the perceptions of each actor integrated into an overall chain approach. The analysis shows that all agrofood actors lack of an adequate level of knowledge towards healthy food definition. Food industries and retailers also show poor awareness about ROP consumers’ segment. In addition they perceive that the high costs for producing healthy food conflict with the low economic performances expected from ROP consumers’ segment. These aspects induce a scarce interest in investing on commercialisation strategies for healthy food for ROP consumers. Further ROP consumers show other notable barriers to adopt healthy diets caused, among others, by a personal strong negative attitude and lack of motivation. The personal barriers are also negatively influenced by several external socio-economic factors. The solutions to overcome the barriers shall rely on the improvement of the agrofood chain internal relations to identify successful strategies for increasing interest on low cost healthy food. In particular the focus should be on improved collaboration on innovation adoption and marketing strategies, considering ROP consumers’ preferences and needs. An external political intervention is instead necessary to fill the knowledge and regulations’ gaps on healthy food issues.