Protected Designation Of Origin Research Articles

Determining the influence of belonging to a wine protected designation of origin on profitability

AbstractTo guide consumers, wineries need credible attributes about the quality of their wines and its origin. In Spain, protected designations of origin (PDO) guarantee that the wine has been produced in a certain wine region in accordance with specific and officially regulated quality criteria thus providing elements of guarantee to the consumer. The objective of this work is to determine whether the belonging of a winery to a PDO is positively or negatively related to profitability. This analysis is important because based on its results, managers will have more knowledge to decide whether a winery is interested in joining the regional PDO or not. We performed an empirical study using a random‐effects generalized least squares regression analysis, with a sample of 1182 Spanish wineries, in which we determine the relation between belonging to eight of the major Spanish PDOs and winery profitability. The results show that wineries registered in these PDOs tend to have higher levels of profitability than wineries that have opted to remain outside, with these differences being significant in five of the eight PDOs analyzed. Additionally, the regression model reveals a positive relationship between PDO membership and winery profitability in six of the eight PDOs. Furthermore, the findings suggest that in some of these PDOs small wineries benefit the most from being part of a PDO due to their difficulties in having a recognized brand in the market, while belonging to a PDO seems to be less useful for large wineries that have greater resources to build their own quality brand. On the basis of these findings, the wineries now have more information to decide whether to stay in the PDO, join it, or focus exclusively on developing their own brands [EconLit Citations: L15, L66, Q13].

A Bayesian analysis of adaptation of mountain grassland production to global change

Abstract In mountains, grasslands managed for livestock production sustain local economies, culture and identity. However, their future fodder production is highly uncertain under climate change: While an extended growing season may be beneficial, more frequent and intense summer droughts could also reduce fodder quantity and quality. Land use and land cover (LULC) changes are another major driver of grassland biomass production, but combined effects of future land use transitions and climate change are rarely quantified. We modelled combined climate and LULC scenarios for grassland production of the Maurienne Valley (French Alps) by 2085. We built a Bayesian Belief Network (BBN) from long‐term grassland production monitoring data complemented with expert knowledge. We assessed the potential of two candidate adaptations, intensification as an incremental solution and silvopastoralism as a transformative solution to compensate combined impacts of two climate scenarios and three land use change scenarios. Total biomass production was far more sensitive to LULC than to climate scenarios. Production losses were largest under the conservation LULC scenario (−28% on average between 2020 and 2085), followed by the tourism development scenario (−7%) and the business‐as‐usual scenario (+3%). Climate change under representative concentration pathways (RCP) 8.5 altered the seasonality of production by increasing potential production from May to July while decreasing summer regrowth. Synthesis and applications: Changes in LULC are more decisive for global biomass production than climate change. However, under the most extreme climate change scenario (RCP8.5), the seasonal shift in production and increased interannual variability threaten the current grass‐based protected designation of origin (PDO) production system. Only the intensification adaptation solution showed significant gains in total biomass production. Still, the silvopastoralism would require less investment compared to the intensification and have a similar efficiency when assessing the gains of biomass by the surface concerned with adaptation solutions. Along with decreased total annual production due to decreasing grassland area compounded by more extreme climate change, the seasonal shift in production and increased interannual variability threaten the current grass‐based PDO production system. Further Bayesian modelling co‐developed with local stakeholders and experts could greatly contribute to adaptation planning of the regional production system.

Classifying PDO Kalamata Olive Oil from Geographic Origins of the Messenia Region based on Statistical Machine Learning

Kalamata is a smart city located in southeastern Greece in the Mediterranean basin and it is the capital of the Messenia regional unit. It is known for the famous Protected Designation of Origin (PDO) Kalamata olive oil produced mainly from the Koroneiki olive variety. The PDO Kalamata olive oil, established by Council regulation (EC) No 510/2006, owes its quality and special characteristics to the geographical environment, olive tree variety, and human factor. The PDO Kalamata olive oil is produced exclusively in the regional unit of Messenia, being the main profit of local farmers. However, soil chemical composition, microclimates, and agronomic factors are changed within the Messenia spatial area leading to differentiation of PDO Kalamata olive oil characteristic. In this paper, we use statistical machine learning algorithms to determine the geographical origin of Kalamata olive oil at PDO level based on synchronous excitation−emission fluorescence spectroscopy of olive oils. Evaluations of the statistical models are promising for differentiating the origin of PDO Kalamata olive oil with high values of prediction accuracy thus enabling companies that process and bottle kalamata olive oil to choose olive oil from a specific region of Messenia that fulfills certain characteristics. Concretely, the current research effort focuses on a specific olive oil variety within a limited geographic region. Intuitively, future research should also focus on validation of the proposed methodology to other olive oil varieties and production areas.

A Study of the Elemental Profiles of Wines from the North-Eastern Coast of the Black Sea

Due to the increasing consumer interest in wines with a controlled place of origin, PGI (Protected Geographical Indication) and PDO (Protected Designation of Origin), the most acute question is how to identify them. One of the most effective ways to confirm the place of origin of wine in global practice is a comprehensive study of the elemental profile using statistical analysis methods. In the period from 2020 to 2023, 152 grape samples of grapes were collected from various wineries in Crimea and Kuban. The grape must that was obtained from them was fermented in laboratory conditions. The elemental profile was determined in the prepared wines, which included 71 indicators. In the conducted work, it was revealed that wines from Crimea and Kuban differ statistically significantly in the concentration of the elements B, Ca, Cu, Mn, Na, Ni, Re, Si, Sn and U. At the same time, the contents of the elements U, Sn and Re prevail in wines from Crimea, and those of B, Ca, Cu, Mn, Na, Ni and Si prevail in wines from Kuban. At the same time, methods of univariate and multivariate statistics do not allow us to reliably classify wine samples from Crimea and Kuban by their place of origin. In order to reveal the non-linear dependence of the studied indicators in wines on the geographical place of grape growing, the method of a supervised learning Random Forest was used. After training the model on the dataset, the proportion of its correct predictions was 96%. The model used 61 parameters, among which the most important were Ni, Re, Ba, Rb, Na, U, Sb, Zn, Bi, Ag and Ti.

The real subsumption of nature and cryopolitics: Temporal fixes in dairy farming in Southern Italy

Water buffaloes have a seasonal cycle of reproduction. Normally they tend to reproduce more when the daylight hours decrease. This seasonal reproduction also means that most of the buffalo calves would be born in autumn and winter in Italy where buffaloes are dairy animals, and milk production would be the highest in these seasons. However, consumer demand for the PDO (Protected designation of origin) mozzarella cheese is the highest in spring and summer. In order to deal with the imbalances between the seasonality of milk production and mozzarella consumption, and the strict regulations of the PDO cheese production, farmers and veterinarians resort to a temporal fix, and they regularly deseasonalise buffalo reproduction. However, there is an obvious discrepancy between the use of this and other fixes (cryotechnologies) generally associated with industrial agriculture, and the idea of traditional and sustainable food production. By engaging with relevant economic geography and political ecology literature, this paper investigates the temporal fixes in dairy farming and agri-food production through an in-depth empirical analysis of deseasonalisation, as a particular form of the real subsumption of nature, and cryopolitics in buffalo mozzarella cheese production in Southern Italy. The work presented in this article is based on multi-sited qualitative field research of buffalo farming and mozzarella cheese production in Campania region. This paper also has wider implications on how socio-ecological fixes shape ‘just-in-time’ animal agriculture and agri-food production.

Effects of slaughter weight and backfat depth on trimming, curing, and deboning losses and quality traits of Italian dry-cured ham

This study aimed at assessing the effects of two infra-vitam traits, specifically the slaughter weight (SW) and the ultrasound backfat depth (BCKF) on several post-mortem and quality traits of typical Prosciutto Veneto protected designation of origin (PDO) dry-cured ham. The trial was conducted on a population of 423 pigs fed using different strategies to generate a high variation in SW (175 ± 15.5 kg) and BCKF (23.16 ± 4.14 mm). All the left thighs were weighed at slaughter and the ham factory during the different processing phases. The fat cover depth of green trimmed hams was measured. Data were analyzed with a linear model including SW classified in tertiles, BCKF as a covariate, SW × BCKF interaction, sex, batch, and pen nested within batch. Our results highlighted that, for each 10 kg increase in SW, trimmed and seasoned ham weights increased by 0.76 and 0.54 kg, respectively. The increase in SW significantly reduced relative curing and deboning losses but did not affect ham fat cover depth and trimming losses. A rise in BCKF increased the ham fat cover depth and trimming losses and decreased the curing and deboning losses. Increases in SW and BCKF improved quality traits of the seasoned ham including fat cover depth, visible marbling, inner lean firmness, and fat color. These findings confirm the feasibility of increasing SW and BCKF, which will result in a reduction in the relative losses associated with the dry-curing process while improving the quality of the seasoned ham.

Conciliation or a confrontation of agricultural visions? A characterisation of the networks and key actors for sustainable agrifood transformations in the Bauges

CONTEXTIn French mountain territories, origin-linked quality schemes have been widely used to address competition from more productive regions, but such schemes have tended to specialise a territory's agriculture around specific products. Today, these territories are marked by the arrival of “left-returned” and new residents, who develop alternative production methods and grassroot initiatives based on agroecological principles and food production relocation. The different groups within the territories hold different visions of what should be agriculture and may confront each other. Sustainable agrifood transformations need to account for the diversity of visions among the variety of actors to enrich transition pathways. OBJECTIVEThe aim of this article is to analyse relationships among a diversity of agrifood actors who have different visions of agriculture in a territory in order to characterise the structure of their relationships and the key actors. More specifically, it seeks, first, to analyse whether actors sharing the same characteristics interact more or not, and whether individual attributes stimulate or constrain relations among the diverse range of actors; and second, to characterise the key actors (i.e. prestigious and brokers) and their roles. METHODSThe study was conducted in a French alpine territory specialising in extensive dairy cattle breeding to produce protected designation of origin (PDO) cheese. We use mixed methods, combining a social network analysis (regression models, and homophily and centrality indicators) with semi-structured interviews to analyse the discussion network of the diverse actors involved in agriculture and food in the Bauges (including farmers, elected officials, processors, distributors, members of civil society, and employees of agricultural and local development institutions). RESULTS AND CONCLUSIONSThe analysis showed that there is no homophily within the actor typologies, and that relations were concentrated within the territory. Some actors were more important for developing ties, especially the employees of agricultural and local development institutions, who were more solicitated by others. However, the results revealed homophily among non-native actors, although they are driving force in the development of ties, demonstrating both their ability to forge links and relational barriers with natives. After that, the most influential broker actor was the park employee in charge of agriculture, who holds a pluralist vision and has a central role in gathering different actors together and bringing them into dialogue. The most prestigious actors were the park employee, a civil society actor, and four farmers. These actors all fulfil three main functions: to guide practices and visions within their group as key actors often hold a clear-cut vision, to bind heterogeneous groups together (although this does not prevent tensions and conflict with these actors), and to link institutional levels, often by virtue of being heads of networks and municipal councillors. However, the methodology did not allow the integration of more isolated actors, especially dairy cattle breeders, who should be included more deeply in further research. SIGNIFICANCETo better understand the dynamics of sustainable agrifood transformations, the relational approach enables analysis of the patterns of relationships between multiple actors with different agricultural visions, and to characterise the key actors and their roles. From the perspective of accompanying agrifood transformations, it is helpful to understand the relational structures between the actors in order to avoid the possible conflicts that could arise in such research. Moreover, it is useful to identify and mobilise key actors in order to facilitate researchers' entry into a territory and increase participation.

Fiber optic fluorescence as non-invasive tool to monitor the ripening process of cheeses: Torta del casar and Queso de la Serena

In this work, the use of excitation-emission fluorescence matrices (EEMs) has been addressed to differentiate two kinds of cheeses with protected designations of origin (PDO), “Torta del Casar” and “Queso de la Serena”. The fluorescence signals were recorded directly on cheese samples during the ripening process, by using a fiber optic assembled to the fluorescence spectrometer, and the data were subjected to analysis by the multivariate algorithm parallel factor analysis (PARAFAC). PARAFAC analysis identified the presence of three fluorophores in both cheeses. The scores of the two first components, attributed to the presence of tryptophane, decreased as the ripening time increased. However, the third component, related to retinol (vitamin A), remains almost constant along the ripening period. EEMs of the samples of the two types of cheese were similar in the initial days of the maturation periods. However, when only the samples from day 36 onwards were considered, it was possible to differentiate them with high precision by PARAFAC in combination with linear discriminant analysis (LDA).In addition, a model was built for the quantification of vitamin A and α-tocopherol (vitamin E), by using the EEMs combined with the multivariate unfolded partial least squares (UPLS) algorithm.

Gas chromatography-stable isotope ratio mass spectrometry prior solid phase microextraction and gas chromatography-tandem mass spectrometry: development and optimization of analytical methods to analyse garlic (Allium sativum L.) volatile fraction

Garlic (Allium sativum L.) is not only appreciated for its flavour and taste, but it is also recognized for various health properties. The European Commission, through the attribution of the Protected Designation of Origin (PDO) certification mark, has officially recognized some specific varieties of garlic. To protect not only the commercial value but also the reputation of this appreciated product, effective tools are therefore required. For the first time, a new compound specific isotope analysis method based on carbon stable isotopic ratio measurement of the three major volatile garlic compounds allyl alcohol (AA), diallyl disulphide (DD) and diallyl trisulphide (DT) through head-space solid phase microextraction (HS-SPME) followed by gas chromatography-combustion-isotope ratio mass spectrometry (GC-C-IRMS) was developed. A within-day standard deviation (Srwithin-day) of 0.3 ‰, 0.4 ‰ and 0.2 ‰ for δ(13C) and a between-day standard deviation (Srbetween-day) of 0.8 ‰, 1.0 ‰ and 0.6 ‰ of AA, DT and DD was estimated. For the first time, the ranges of isotopic variability for the three volatile compounds of red garlic from two neighbouring Italian regions (Abruzzo and Lazio) were defined analysing 30 samples. The same dataset was also considered in analysing the percentage composition of the previously mentioned three volatile compounds through HS-SPME followed by gas chromatography-tandem mass spectrometry (GC-MS/MS). The two analytical approaches were combined in this explorative study, aiming to provide potential parameters to discriminate garlic samples based on their geographical origin.

Influence of soil properties on grape and must quality in the Montilla − Moriles protected designation of origin (southern Spain)

There is a growing interest among consumers in some world regions in high-quality products including wine. In this work, we examined the unique quality wines obtained in the Montilla − Moriles wine Protected Designation of Origin (PDO) (Córdoba, southern Spain). Specifically, we assessed the influence of soil properties on the production and quality of Pedro Ximénez grapes in the Montilla − Moriles PDO terroir in six vineyards typical of three different production areas, namely: Sierra de Montilla and Moriles Altos (two premium-grade areas), on soils known as “albariza”, characterized by their parent material (mainly marls and limestones), with a high calcium carbonate content and low organic matter content; and one standard-grade area (Ruedos), with soils developed on varied materials including Miocene marls, which are steeply and highly eroded. Representative soil profiles were evaluated and a field experiment to conducted to obtain data on grape production and quality over a period of three years in the six vineyards. Wine quality in the premium-grade areas was strongly influenced by physical characteristics of the vineyards (altitude and age), and also by some soil properties (limestone, poorly crystalline Fe oxides, and available P, Zn and Cu), production-related characteristics (leaf surface area exposed to solar radiation) and oenological variables (tartaric acid content). By contrast, quality in the standard-grade area was more closely related to soil sand and available Mn, and also to scarcely available P and Zn; however, grape bunches were more abundant and grapes larger (100-berry weight) in this area, and the must produced was richer in malic acid. These results suggest that soil properties in each premium-grade area of the Montilla-Moriles PDO (viz., Sierra de Montilla and Moriles Altos) set them apart from each other and distinguish them from the standard-grade area (Ruedos). Such soil properties are associated to consumer-appreciated quality-related parameters.

Enhancing employee wellbeing and happiness management in the wine industry: unveiling the role of green human resource management

BackgroundIn today’s business environment, where sustainability has emerged as a strategic axis of business practices, the study of the link between human resources management and environmental management becomes increasingly necessary. In this sense, the present research focuses on analyzing the impact of Green Human Resource Management (GHRM) on the Sustainable Performance (SP) of Spanish wineries, as well as the mediating effect of Employee Wellbeing (EW) and Work Engagement (WE) on this linkage. In addition, age, size and membership in a Protected Designation of Origin (PDO) are introduced as control variables to increase the precision of the cause-effect relationships examined.MethodsThe study proposes a conceptual model based on previous studies, which is tested using structural equations (PLS-SEM) with data collected from 196 Spanish wineries between September 2022 and January 2023.ResultsThe findings of the research reveal the existence of a positive and significant relationship between the GHRM development and the SP of Spanish wineries, as well as the partial mediation of EW and WE in this association.ConclusionsThe uniqueness and significance of this study can be attributed to several crucial factors. First, it enhances the understanding and knowledge regarding the advantages associated with GHRM development. Second, no prior research has conducted a comprehensive study on GHRM as a catalyst for SP within the context of Spanish wineries. Third, to the best of the authors’ knowledge, no previous study has analyzed the mediating role of EW and WE as mediators in the relationship between GHRM and SP of wineries.

Investigation of the Microbiome of Industrial PDO Sfela Cheese and Its Artisanal Variants Using 16S rDNA Amplicon Sequencing and Shotgun Metagenomics.

Sfela is a white brined Greek cheese of protected designation of origin (PDO) produced in the Peloponnese region from ovine, caprine milk, or a mixture of the two. Despite the PDO status of Sfela, very few studies have addressed its properties, including its microbiology. For this reason, we decided to investigate the microbiome of two PDO industrial Sfela cheese samples along with two non-PDO variants, namely Sfela touloumotiri and Xerosfeli. Matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS), 16S rDNA amplicon sequencing and shotgun metagenomics analysis were used to identify the microbiome of these traditional cheeses. Cultured-based analysis showed that the most frequent species that could be isolated from Sfela cheese were Enterococcus faecium, Lactiplantibacillus plantarum, Levilactobacillus brevis, Pediococcus pentosaceus and Streptococcus thermophilus. Shotgun analysis suggested that in industrial Sfela 1, Str. thermophilus dominated, while industrial Sfela 2 contained high levels of Lactococcus lactis. The two artisanal samples, Sfela touloumotiri and Xerosfeli, were dominated by Tetragenococcus halophilus and Str. thermophilus, respectively. Debaryomyces hansenii was the only yeast species with abundance > 1% present exclusively in the Sfela touloumotiri sample. Identifying additional yeast species in the shotgun data was challenging, possibly due to their low abundance. Sfela cheese appears to contain a rather complex microbial ecosystem and thus needs to be further studied and understood. This might be crucial for improving and standardizing both its production and safety measures.

Green intellectual capital and environmental performance: identifying the pivotal role of green ambidexterity innovation and top management environmental awareness

PurposeThis research focuses on analyzing the impact of Green Intellectual Capital (GIC) on the Environmental Performance (EP) of Spanish wineries, as well as the mediating effect of Green Ambidexterity Innovation (GAI) on the main relationship posed (GIC–EP), and the moderating effect of Top Management Environmental Awareness (TMEA) on the GAI–EP link. In addition, age, size and size and membership in a Protected Designation of Origin (PDO) to increase the accuracy of the cause–effect relationships examined.Design/methodology/approachThe study proposes a conceptual model based on previous studies, which is tested using structural equations (PLS-SEM) with data collected from 196 Spanish wineries between September 2022 and January 2023.FindingsThe results of the research reveal the existence of a positive and significant relationship between the development of GIC and EP of Spanish wineries, as well as the partial mediation of GAI in this link and the positive moderation of TMEA in the GAI–EP relationship.Originality/valueThe originality of the study is explained by several factors. First, the study pioneered the exploration of TMEA as a moderator of the relationship between GAI and EP, allowing such analysis to improve understanding of the dynamic interaction between innovation and environmental management. Second, to the best of the authors' knowledge, there are no preceding studies that have previously proposed the theoretical model presented in this research, thus providing new scientific knowledge on the intellectual capital field. Third, the contextualization of the study in the wine sector, traditionally perceived as little knowledge-intensive, contributes significantly to the existing body of scientific knowledge on the environmental management of wineries, given that it allows the identification of the catalysing variables of EP in the Spanish wine context.

Sustainability implications and relevance of using omics sciences to investigate cheeses with protected designation of origin.

Cheese, a fundamental component of the human diet and a cornerstone of the global food economy, has a significance beyond its role as a commodity, playing a crucial part in the cultural identity of various communities. The intricate natural aging process known as maturation involves a series of reactions that induce changes in the cheese's physical, biochemical, microbiological, and particularly sensory characteristics, making it a complex aspect of cheese production. Recently, the adoption of omics sciences (e.g., metagenomics, metabolomics, proteomics) has emerged as a new trend in studies related to protected designation of origin (PDO) cheese. This mini-summary aims to outline the relationship between omics studies in these food matrices and all the sustainability facets of the production chain in general, and to discuss and recognize that the importance of these studies goes beyond comprehending the cheese biome and extends to fostering and ensuring the sustainability of the production chain. In this context, numerous studies in recent years have linked the identification of intrinsic characteristics of PDO cheeses through omics sciences to crucial sustainability themes such as territoriality, biodiversity, and the preservation of product authenticity. The trajectory suggests that, increasingly, multidisciplinary studies spanning various omics sciences will not only contribute to the characterization of these products but will also address sustainability aspects directly related to the production chain (e.g., authenticity, microbial biodiversity, functionality). This expansion underscores the multidisciplinary nature of these studies, broadening their social impact beyond the academic realm. Consequently, these pivotal studies play a crucial role in advancing discussions on PDO products and sustainability. © 2024 Society of Chemical Industry.

Wine tourism as a catalyst for green performance: the mediating role of green knowledge sharing

ABSTRACT As the global wine industry faces the pressing challenges of sustainability, the exploration of wine tourism emerges as a key tool to promote the dissemination of sustainable practices developed by wineries. In this context, the present research focuses on analyzing the impact of wine tourism on the green performance of Spanish wineries, as well as the mediating effect of green knowledge sharing on this linkage. In addition, age, size and membership in a protected designation of origin are introduced as control variables to increase the precision of the cause-effect relationships examined. The study proposes a conceptual model based on previous studies, which is tested using structural equations with data collected from 196 Spanish wineries between September 2022 and January 2023. The findings of the research reveal the existence of a positive and significant relationship between the development of wine tourism and the green performance of Spanish wineries, as well as the partial mediation of green knowledge sharing in this association. The uniqueness and significance of this study can be attributed to several crucial factors. On the one hand, it enhances the understanding and knowledge regarding the advantages associated with wine tourism development. On the other hand, this study contributes to the literature by offering a comprehensive exploration of how wine tourism serves as a catalyst for green performance among Spanish wineries, filling theoretical and practical gaps as it examines the mediating role of green knowledge exchange in this dynamic, an aspect so far scarcely explored in the academic literature.

Genomic Characterization of Wild Lactobacillus delbrueckii Strains Reveals Low Diversity but Strong Typicity.

Investigating the diversity of a given species could give clues for the development of autochthonous starter cultures. However, few studies have focused on the intraspecies diversity of Lactobacillus delbrueckii strains, a technologically important lactic acid bacterium for the dairy industry. For this reason, Lactobacillus delbrueckii strains from the Saint-Nectaire Protected Designation of Origin (PDO) area were isolated and characterized. Genetic diversity was determined based on core genome phylogenetic reconstruction and pangenome analysis, while phenotypic assessments encompassed proteolysis and volatile compound production potential. A total of 15 L. delbrueckii ssp. lactis unique new strains were obtained. The genetic analysis and further proteolytic activities measurement revealed low variability among these Saint-Nectaire strains, while substantial genetic variability was observed within the L. delbrueckii ssp. lactis subspecies as a whole. The volatile compound profiles slightly differed among strains, and some strains produced volatile compounds that could be of particular interest for cheese flavor development. While the genetic diversity among Saint-Nectaire strains was relatively modest compared to overall subspecies diversity, their distinct characteristics and pronounced differentiation from publicly available genomes position them as promising candidates for developing autochthonous starter cultures for cheese production.

Electronic nose: a tool to verify the PDO declaration of Portuguese olive oils

The volatile and olfactory profiles of three Portuguese olive oils with protected designations of origin (PDO) were studied: “Azeite do Alentejo Interior”, “Azeites da Beira Interior”, and “Azeite de Trás-os-Montes”. Seven classes of volatiles were identified, with aldehydes, followed by hydrocarbons and alcohols, the most prevalent (5.63, 2.92, and 2.79 mg/kg olive oil, respectively). The “Azeites da Beira Interior” oils exhibited the highest amount of volatiles (18.2 ± 4.6 mg/kg olive oil) compared to the oils from the other two PDOs. Ten positive olfactory sensations were detected, and a significant effect of the PDO on the intensities of fruity, apple, cabbage, tomato, dry and fresh herbs was observed. Specifically, “Azeite do Alentejo Interior” PDO oils were characterized as fruity-ripe, while “Azeite de Trás-os-Montes” PDO oils were labelled as fruity-green. Conversely, “Azeites da Beira Interior” PDO oils encompassed both fruity-ripe and fruity-green oils. Unique volatile and olfactory fingerprints were established for each PDO, allowing the linear discrimination of the oils according to the PDO, with a predictive sensitivity of 98.0 ± 4.2% (repeated K-fold-CV). Furthermore, a lab-made electronic nose successfully discriminated the studied oils based on the PDO, with a predictive accuracy of 99.7 ± 2.0% (repeated K-fold-CV). This device also allowed predicting the concentrations of the three main volatile classes found in the oils through multiple linear regression models (R2 ≥ 0.923 ± 0.101 and RMSE ≤ 1.32 ± 0.72 mg/kg oil; repeated K-fold-CV). These findings underscore the potential of the electronic nose as a reliable traceability tool to authenticate the PDO declaration of Portuguese olive oils, and broaden its use beyond non-PDO oils from a specific geographical area to encompass a national scale.Graphical abstract

Green human resource management and green performance in the wine industry: the mediating role of employee well-being

Purpose This study aims to focus on analysing the impact of green human resource management (GHRM) on the green performance (GP) of Spanish wineries, as well as the mediating effect of employee well-being (EW) on this linkage. In addition, age, size and membership in a protected designation of origin are introduced as control variables to increase the precision of the cause-effect relationships examined. Design/methodology/approach The study proposes a conceptual model based on previous studies, which is tested using structural equations partial least squares structural equation modelling with data collected from 196 Spanish wineries between September 2022 and January 2023. Findings The findings of the research reveal the existence of a positive and significant relationship between the GHRM development and the GP of Spanish wineries, as well as the partial mediation of EW in this association. Originality/value The uniqueness and significance of this study can be attributed to several crucial factors. First, it enhances the understanding and knowledge regarding the advantages associated with GHRM development. Second, no prior research has conducted a comprehensive study on GHRM as a catalyst for GP within the context of Spanish wineries. Third, to the best of the authors’ knowledge, no previous study has analyzed the mediating role of EW as a mediator in the relationship between GHRM and GP of wineries.

Proposed Fuzzy-Stranded-Neural Network Model That Utilizes IoT Plant-Level Sensory Monitoring and Distributed Services for the Early Detection of Downy Mildew in Viticulture

Novel monitoring architecture approaches are required to detect viticulture diseases early. Existing micro-climate decision support systems can only cope with late detection from empirical and semi-empirical models that provide less accurate results. Such models cannot alleviate precision viticulture planning and pesticide control actions, providing early reconnaissances that may trigger interventions. This paper presents a new plant-level monitoring architecture called thingsAI. The proposed system utilizes low-cost, autonomous, easy-to-install IoT sensors for vine-level monitoring, utilizing the low-power LoRaWAN protocol for sensory measurement acquisition. Facilitated by a distributed cloud architecture and open-source user interfaces, it provides state-of-the-art deep learning inference services and decision support interfaces. This paper also presents a new deep learning detection algorithm based on supervised fuzzy annotation processes, targeting downy mildew disease detection and, therefore, planning early interventions. The authors tested their proposed system and deep learning model on the grape variety of protected designation of origin called debina, cultivated in Zitsa, Greece. From their experimental results, the authors show that their proposed model can detect vine locations and timely breakpoints of mildew occurrences, which farmers can use as input for targeted intervention efforts.

Authentication strategy for paprika analysis according to geographical origin and study of adulteration using near infrared spectroscopy and chemometric approaches

Paprika is a spice whose composition and characteristics vary with its geographical origin and additionally is illegally adulterated with dyes to improve its appearance. This work proposes a strategy based on Fourier-transform near infrared (FT-NIR) analysis and chemometric tools for its authentication and detection of fraud. A total of 115 paprika samples were analyzed, including paprika with protected designation of origin (PDO) labels from Spain, France and Hungary, and samples from China and Zambia. The proposed orthogonal partial least squares-discriminant analysis (OPLS-DA) models allow to distinguish paprika according to its PDO and variety, as well as to identify adulteration with Sudan dyes or Congo red. Partial least squares regressions allow to quantify the adulterant in paprika from 0.1 to 5 %. Chemometric models achieved high classification success rates and suitable linearities. The proposed strategy is presented as a comprehensive and effective tool to ensure paprika quality and authenticity, including the detection and quantification of adulteration with commercial dyes.