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24 pages, 1495 KB  
Article
Predicting Bioactive Compounds in Arbutus unedo L. Leaves Using Machine Learning: Influence of Extraction Technique, Solvent Type, and Geographical Location
by Jasmina Lapić, Anica Bebek Markovinović, Nikolina Račić, Lana Vujanić, Marko Kostić, Dušan Rakić, Senka Djaković and Danijela Bursać Kovačević
Foods 2026, 15(6), 993; https://doi.org/10.3390/foods15060993 - 11 Mar 2026
Viewed by 619
Abstract
This study investigates the effects of extraction technique, solvent type, and geographical origin on the recovery of bioactive compounds from Arbutus unedo L. leaves collected from two Croatian islands (Vis and Mali Lošinj) and extracted using conventional, Soxhlet, and ultrasound-assisted extraction (UAE) with [...] Read more.
This study investigates the effects of extraction technique, solvent type, and geographical origin on the recovery of bioactive compounds from Arbutus unedo L. leaves collected from two Croatian islands (Vis and Mali Lošinj) and extracted using conventional, Soxhlet, and ultrasound-assisted extraction (UAE) with green solvents (distilled water, 70% ethanol, and ethyl acetate). Extracts were purified and characterized by thin-layer chromatography, column chromatography, and FTIR spectroscopy. Total phenols, hydroxycinnamic acids, flavonols, condensed tannins, and antioxidant capacity were quantified spectrophotometrically. Solvent type had the greatest influence, with 70% ethanol yielding the highest levels of bioactives and antioxidant capacity. Geographical origin significantly affected total phenolics and condensed tannins, with leaves from Vis outperforming those from Mali Lošinj. UAE was slightly more efficient than conventional and Soxhlet methods, particularly for thermolabile phenolics. Machine learning algorithms were applied as exploratory tools, using total phenols as a proxy variable to estimate selected bioactive compounds and antioxidant capacity based on extraction parameters. Decision Tree and Gradient Boosting models showed high goodness of fit within the experimental dataset (R2 > 0.91). These results support the potential of green extraction strategies combined with data-driven screening for the valorization of A. unedo leaf extracts, while highlighting the need for further validation prior to industrial application. Full article
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23 pages, 2452 KB  
Article
Resolving Species Limits and Evolutionary Distinctiveness of the Libyan Endemic Arbutus pavarii (Ericaceae) Using Multilocus DNA Barcoding and Phylogenetic Analyses
by Ahmed M. H. Gawhari, Alastair Culham, Faten Y. Ellmouni, Ahmed A. Alghamdi, Stephen L. Jury and Ahmed EL-Banhawy
Plants 2026, 15(4), 653; https://doi.org/10.3390/plants15040653 - 20 Feb 2026
Viewed by 1292
Abstract
The taxonomic status of Arbutus pavarii Pamp., a rare and geographically restricted species endemic to northeastern Libya, has long been debated, with some treatments considering it a synonym of A. unedo. To resolve this uncertainty, we applied an integrative molecular framework that [...] Read more.
The taxonomic status of Arbutus pavarii Pamp., a rare and geographically restricted species endemic to northeastern Libya, has long been debated, with some treatments considering it a synonym of A. unedo. To resolve this uncertainty, we applied an integrative molecular framework that combined multilocus DNA barcoding, phylogenetic inference, and multivariate statistical analyses. Five barcode loci—nrITS, matK, rbcL, trnH–psbA, and rps16—were analyzed using barcode-gap diagnostics, TaxonDNA identification tests, and single-locus and concatenated phylogenetic analyses. Barcode-gap analyses based on Kimura 2-parameter distances revealed clear and reproducible separation between intra- and interspecific variation for A. pavarii, particularly for nrITS and the concatenated multilocus dataset, whereas conserved plastid loci showed limited discriminatory power when used individually. Phylogenetic reconstructions consistently recovered A. pavarii as a strongly supported monophyletic lineage, distinct from A. unedo and other Mediterranean congeners, with congruent topologies across the nuclear, plastid, and combined datasets. Multivariate analyses, including principal component analysis and heatmap clustering, further corroborate the genetic cohesion and distinctiveness of A. pavarii samples. Collectively, these results provide robust molecular evidence supporting the recognition of Arbutus pavarii as a distinct evolutionary lineage, rather than an intraspecific variant of A. unedo. This study established a reproducible multilocus framework for species delimitation in Arbutus and highlighted the importance of integrating nuclear and plastid markers to resolve complex taxonomic relationships. The clarified taxonomic status of A. pavarii has important implications for biodiversity assessment and conservation planning in the Mediterranean region, particularly in the Cyrenaican floristic province. Full article
(This article belongs to the Special Issue Plant Molecular Phylogenetics and Evolutionary Genomics IV)
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21 pages, 1039 KB  
Article
Unveiling the Nutritional Quality of the Sicilian Strawberry Tree (Arbutus unedo L.), a Neglected Fruit Species
by Federica Litrenta, Vincenzo Nava, Ambrogina Albergamo, Angela Giorgia Potortì, Roberto Sturniolo, Vincenzo Lo Turco and Giuseppa Di Bella
Foods 2025, 14(15), 2734; https://doi.org/10.3390/foods14152734 - 5 Aug 2025
Cited by 2 | Viewed by 1877
Abstract
Although the strawberry tree (A. unedo L.) has been long considered a neglected species of the Mediterranean maquis, the valorization of its fruit production may enhance its socioeconomic value, especially in rural areas. In this study, strawberry trees from different Sicilian sites [...] Read more.
Although the strawberry tree (A. unedo L.) has been long considered a neglected species of the Mediterranean maquis, the valorization of its fruit production may enhance its socioeconomic value, especially in rural areas. In this study, strawberry trees from different Sicilian sites were investigated in terms of macronutrients, fatty acid (FA) composition, tocopherols, total phenols, carotenoids, and minerals. Sicilian berries were a good source of carbohydrates (mainly fructose, glucose and sucrose) and dietary fiber. They were low in fat; however, the FA composition revealed the abundance of unsaturated FAs over saturated FAs and an advantageous n-6/n-3 ratio. Additionally, Sicilian berries showed an inversed linoleic/α-linolenic acid ratio with respect to berries from other Mediterranean regions, that had previously investigated in literature. This evidence suggests that this ratio may have a chemotaxonomic relevance. Considering antioxidants, the fruits had levels of tocopherols, particularly α-tocopherol, total phenols and carotenoids similar to those of certain commercial fruits. Precious amounts of minerals, such as Ca, K, Zn and Fe were also determined. Interestingly, berries harvested near a Sicilian volcanic area had higher levels of minerals, as well as tocopherols, phenols and carotenoids, than fruits from other Sicilian sites, thereby advancing the hypothesis that fruits from volcanic areas may have a superior nutritional value. Overall, data from this study elaborated by a proper statistical analysis revealed that the geographical origin was a relevant variable to consider in the reliable study of this fruit species. Full article
(This article belongs to the Special Issue The Health Benefits of Fruits and Vegetables—3rd Edition)
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42 pages, 22657 KB  
Article
Holocene Flora, Vegetation and Land-Use Changes on Dingle Peninsula, Ireland, as Reflected in Pollen Analytical, Archaeological and Historical Records
by Michael O’Connell and Steffen Wolters
Diversity 2025, 17(7), 456; https://doi.org/10.3390/d17070456 - 27 Jun 2025
Cited by 1 | Viewed by 2998
Abstract
Palaeoecological investigations connected with extensive pre-bog, stone walls, and field systems at Kilmore, Dingle peninsula, Ireland, are presented. The main pollen profile, KLM I, spans the last 4000 years. When the record opened, pine (Pinus sylvestris) was already a minor tree, [...] Read more.
Palaeoecological investigations connected with extensive pre-bog, stone walls, and field systems at Kilmore, Dingle peninsula, Ireland, are presented. The main pollen profile, KLM I, spans the last 4000 years. When the record opened, pine (Pinus sylvestris) was already a minor tree, oak (probably Quercus petraea) was the main tall-canopy tree, and birch and alder were dominant locally. Substantial farming is recorded between ca. 1530 and 600 BCE (Bronze Age) when the stone walls were likely constructed. From ca. 560 CE onwards, intensive farming was conducted for much of the time. A largely treeless landscape emerged in the late twelfth century CE. Fine-spatial reconstructions of landscape and vegetation dynamics, including the timing of blanket bog initiation, are made. Post-glacial change in the western Dingle peninsula, based on published Holocene lake profiles and drawing on the new information presented here, is discussed. Reported are (a) fossil spores of the filmy ferns Hymenophyllum tunbrigense, H. wilsonii, and Trichomanes speciosum; (b) the first fossil pollen record for Arbutus unedo (strawberry tree) in the Dingle peninsula (540 CE); and (c) the first published records for Fagopyrum fossil pollen in Ireland, indicating that buckwheat was grown at Kilmore in the late eighteenth/early nineteenth centuries. Full article
(This article belongs to the Special Issue Plant Succession and Vegetation Dynamics)
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47 pages, 2485 KB  
Review
Plant Pathogenic and Endophytic Colletotrichum fructicola
by Latiffah Zakaria
Microorganisms 2025, 13(7), 1465; https://doi.org/10.3390/microorganisms13071465 - 24 Jun 2025
Cited by 7 | Viewed by 4897
Abstract
Colletotrichum fructicola is a member of the gloeosporioides complex and can act as a pathogen, causing anthracnose in various plants and as an endophyte residing in healthy plants. As a plant pathogen, C. fructicola has been frequently reported to cause anthracnose in chili [...] Read more.
Colletotrichum fructicola is a member of the gloeosporioides complex and can act as a pathogen, causing anthracnose in various plants and as an endophyte residing in healthy plants. As a plant pathogen, C. fructicola has been frequently reported to cause anthracnose in chili fruit and tea plants, bitter rot in apples and pears, crown rot in strawberries, and Glomerella leaf spot in apples, which are the most common diseases associated with this pathogen. Over the years, C. fructicola has been reported to infect a wide range of plants in tropical, subtropical, and temperate regions, including various types of fruit crops, ornamental and medicinal plants, tree nuts, peanuts, and weeds. Several reports have also been made regarding endophytic C. fructicola recovered from different plant parts. Endophytic C. fructicola has the ability to switch to a pathogenic state, which may contribute to the infection of host and other susceptible plants. Due to the economic importance of C. fructicola infections, the present review highlighted C. fructicola as a plant pathogen and endophyte, providing a summary of its infections in various plants and endophytic ability to inhabit plant tissues. Several control measures for managing C. fructicola infections have also been provided. Full article
(This article belongs to the Section Plant Microbe Interactions)
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21 pages, 1526 KB  
Article
Strawberry Tree Fruit Residue as Carbon Source Towards Sustainable Fuel Biodesulfurization by Gordonia alkanivorans Strain 1B
by Susana M. Paixão, Tiago P. Silva, Francisco Salgado and Luís Alves
Molecules 2025, 30(10), 2137; https://doi.org/10.3390/molecules30102137 - 13 May 2025
Cited by 1 | Viewed by 1140
Abstract
Biodesulfurization (BDS) is a clean technology that uses microorganisms to efficiently remove sulfur from recalcitrant organosulfur compounds present in fuels (fossil fuels or new-generation fuels resulting from pyrolysis and hydrothermal liquefaction). One of the limitations of this technology is the low desulfurization rates. [...] Read more.
Biodesulfurization (BDS) is a clean technology that uses microorganisms to efficiently remove sulfur from recalcitrant organosulfur compounds present in fuels (fossil fuels or new-generation fuels resulting from pyrolysis and hydrothermal liquefaction). One of the limitations of this technology is the low desulfurization rates. These result in the need for greater amounts of biocatalyst and lead to increased production costs. To mitigate this issue, several approaches have been pursued, such as the use of alternative carbon sources (C-sources) from agro-industrial waste streams or the co-production of high-added-value products by microorganisms. The main goal of this work is to assess the potential of strawberry tree fruit residue (STFr) as an alternative C-source for a BDS biorefinery using Gordonia alkanivorans strain 1B, a well-known desulfurizing bacterium with high biotechnological potential. Hence, the first step was to produce sugar-rich liquor from the STFr and employ it in shake-flask assays to evaluate the influence of different pretreatments (treatments with 1–4% activated charcoal for prior phenolics removal) on metabolic parameters and BDS rates. Afterwards, the liquor was used as the C-source in chemostat assays, compared to commercial sugars, to develop and optimize the use of STFr-liquor as a viable C-source towards cost-effective biocatalyst production. Moreover, the high-market-value bioproducts simultaneously produced during microbial growth were also evaluated. In this context, the best results, considering both the production of biocatalysts with BDS activity and simultaneous bioproduct production (carotenoids and gordofactin biosurfactant/bioemulsifier) were achieved when strain 1B was cultivated in a chemostat with untreated STFr-liquor (5.4 g/L fructose + glucose, 6:4 ratio) as the C-source and in a sulfur-free mineral-minimized culture medium at a dilution rate of 0.04 h−1. Cells from this steady-state culture (STFr L1) achieved the highest desulfurization with 250 mM of dibenzothiophene as a reference organosulfur compound, producing a maximum of ≈213 mM of 2-hydroxibyphenil (2-HBP) with a corresponding specific rate (q2-HBP) of 6.50 µmol/g(DCW)/h (where DCW = dry cell weight). This demonstrates the potential of STFr as a sustainable alternative C-source for the production of cost-effective biocatalysts without compromising BDS ability. Additionally, cells grown in STFr L1 also presented the highest production of added-value products (338 ± 15 µg/g(DCW) of carotenoids and 8 U/mL of gordofactin). These results open prospects for a future G. alkanivorans strain 1B biorefinery that integrates BDS, waste valorization, and the production of added-value products, contributing to the global economic viability of a BDS process and making BDS scale-up a reality in the near future. Full article
(This article belongs to the Special Issue Advances in Biomass Chemicals: Transformation and Valorization)
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16 pages, 292 KB  
Article
Assessing the Quality and Floral Variety Market Value: A Hedonic Price Model for Honey
by Francesco Bimbo, Kristi Nico and Emilio De Meo
Sustainability 2025, 17(9), 3903; https://doi.org/10.3390/su17093903 - 26 Apr 2025
Cited by 4 | Viewed by 2294
Abstract
This study quantifies the market values, or implicit prices, of honey quality features (e.g., organic and origin information, package-related features) and floral varieties for supporting beekeepers in differentiating their products to escape from price competition characterizing the Italian honey market. The research employed [...] Read more.
This study quantifies the market values, or implicit prices, of honey quality features (e.g., organic and origin information, package-related features) and floral varieties for supporting beekeepers in differentiating their products to escape from price competition characterizing the Italian honey market. The research employed a sample of sales data, 660 observations collected from the Italian market, and a hedonic price model, estimated via Ordinary Least Squares, to assess the implicit prices of honey characteristics. A high premium price was recorded for honey with added royal jelly and propolis, as well as for “100% Italian” honey. In contrast, moderate price premiums were recorded for Protected Designation of Origin and organic honey. Furthermore, the floral varieties used largely affected the product price: the highest premium prices were estimated for the Manuka, Kanuka, and Tawari floral varieties. Price premiums above +50% were estimated for floral varieties such as Strawberry tree, Pine, Cistus, Tree of Heaven, Sainfoin, Marruca, and Solidago. Results suggest that honey quality features and some floral varieties can effectively differentiate products, supporting beekeepers to achieve higher revenues. This study offers empirical evidence of the extent to which floral varieties and other product characteristics affect the market price of honey using a dataset of secondary data, with the aim to support producers to improve their competitive position in the market. Full article
(This article belongs to the Section Sustainable Food)
11 pages, 1291 KB  
Article
Chemical and Functional Characteristics of Strawberry Tree (Arbutus unedo L.) Honey from Western Greece
by Chrysoula Tananaki, Dimitrios Kanelis, Vasilios Liolios, Maria Anna Rodopoulou and Fotini Papadopoulou
Foods 2025, 14(9), 1473; https://doi.org/10.3390/foods14091473 - 23 Apr 2025
Cited by 3 | Viewed by 3250
Abstract
Strawberry tree honey (Arbutus unedo L.) is a rare monofloral honey type with unique characteristics, mainly produced in the Mediterranean region. Despite its distinct qualities, limited research on its physicochemical and biological properties, coupled with the absence of specific legislative standards, hinder [...] Read more.
Strawberry tree honey (Arbutus unedo L.) is a rare monofloral honey type with unique characteristics, mainly produced in the Mediterranean region. Despite its distinct qualities, limited research on its physicochemical and biological properties, coupled with the absence of specific legislative standards, hinder its market potential. For this reason, in the present study, we analyzed strawberry tree honey samples collected from beekeepers in Western Greece, focusing on physicochemical properties (moisture, electrical conductivity, HMF, diastase activity, color, pH, acidity), total phenolic content, antioxidant activity, carbohydrate composition, and phenolic compounds profile. The results revealed high moisture content (19.2 ± 1.9%) and electrical conductivity (0.784 ± 0.132 mS cm−1), low diastase activity (9.6 ± 3.8 DN), and a strong crystallization tendency (1.01). Additionally, the honey exhibited elevated levels of total phenolic content (1169.9 ± 323.8 mg GAE kg−1 honey) and total antioxidant activity (10.98 ± 2.42 mmol Fe2+ kg−1 honey), compared to other blossom honeys, with homogentisic acid emerging as the dominant phenolic compound. These findings highlight the potential of strawberry tree honey as a high-value product, contributing to its enhanced market promotion. Full article
(This article belongs to the Special Issue Quality Evaluation of Bee Products—Volume II)
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17 pages, 2720 KB  
Article
The Role of Grass in the Epidemiology of a Phytoplasma Disease Affecting Trees and Other Plants of the Sabana de Bogotá, Colombia
by Liliana Franco-Lara, Aura Cristina Campo-Garnica, Iris Calanit French, Cindy Julieth Solano and Maria Nathalia Vargas
Microorganisms 2025, 13(5), 967; https://doi.org/10.3390/microorganisms13050967 - 23 Apr 2025
Viewed by 2224
Abstract
Candidatus Phytoplasma asteris’ and ‘Candidatus Phytoplasma fraxini’ infect at least nine species of trees, potato, and strawberry crops in the Sabana de Bogotá. We analyzed the epidemiological implications of the presence of these phytoplasma species in trees, grass, and weeds in [...] Read more.
Candidatus Phytoplasma asteris’ and ‘Candidatus Phytoplasma fraxini’ infect at least nine species of trees, potato, and strawberry crops in the Sabana de Bogotá. We analyzed the epidemiological implications of the presence of these phytoplasma species in trees, grass, and weeds in the Sabana de Bogotá, as well as in Cicadellidae insects. Both phytoplasmas were detected in symptomatic trees of Salix humboldtiana and Sambucus nigra, and in asymptomatic grass Cenchrus clandestinus and 13 weed species. ‘Ca. P. asteris’ and ‘Ca. P. fraxini’ sequences of the 16S rRNA gene obtained from positive samples were compared with sequences from plants and insects of the Sabana de Bogotá. In each case, the sequence identity of this gene suggested that closely related strains of each species circulate in the environment, infecting plants of many families and several Cicadellidae species. Ce. clandestinus plays a key role in the epidemiology of the disease since it is a host of both phytoplasmas, of two known insect vectors, and of other Cicadellidae. Ce. clandestinus is extensively distributed in urban and rural areas. Since management efforts are hampered by the practical impossibility to remove Ce. clandestinus from the ecosystem, different strategies are needed to manage this disease. Full article
(This article belongs to the Special Issue Phytoplasma Diseases of Trees and Shrubs)
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21 pages, 21642 KB  
Article
Preparation of Tea Tree Oil Microcapsules and Their Effects on Strawberry Preservation During Storage
by Yan-Li Han, Cen Chen, Yuan-Yue Wu, Yu-Meng Yan, Meng-Ying Wang, Yang Xiang, Dao-Yu Wei, Zhi-Hang Hu, Jing Zhuang, Ai-Sheng Xiong and Yuan-Hua Wang
Horticulturae 2025, 11(4), 389; https://doi.org/10.3390/horticulturae11040389 - 6 Apr 2025
Cited by 4 | Viewed by 2328
Abstract
This study used an embedding technique to prepare microcapsules with tea tree oil as the core material and a composite of β-cyclodextrin and nano-montmorillonite as the wall material. The prepared microcapsules were analyzed for their morphological characteristics, thermal stability, and major components. Additionally, [...] Read more.
This study used an embedding technique to prepare microcapsules with tea tree oil as the core material and a composite of β-cyclodextrin and nano-montmorillonite as the wall material. The prepared microcapsules were analyzed for their morphological characteristics, thermal stability, and major components. Additionally, the microcapsules’ effect on the quality of and active substances contained in refrigerated strawberries was investigated. The results revealed that the optimal preparation conditions for the microcapsules were a montmorillonite addition of 2% (m/v), a core-to-wall ratio of 1:12 (m/m), an encapsulation temperature of 70 °C, and an encapsulation time of 90 min. Under these conditions, the microcapsules achieved an encapsulation efficiency of 77.67%. The capsules emitted a noticeable aroma of tea tree oil, and their primary components, specifically terpinen-4-ol, 1,8-cineole, p-cymene, and terpinolene, were consistent with those of tea tree oil. The release rate of the microcapsules at 60 °C and 90 °C was significantly lower than that of liquid tea tree oil (p < 0.05). A suitable treatment with tea tree oil microcapsules preserved the appearance and quality of the strawberries, inhibited spoilage during refrigeration, reduced weight loss, maintained firmness, delayed declines in soluble solid contents and acidity in later storage stages, and enhanced the activity of the superoxide dismutase, catalase, and ascorbate peroxidase. The prepared microcapsules also suppressed increases in anthocyanins and inhibited the further maturation of the stored strawberries. The optimal preservative effect was achieved with the placement of 5.0 g of tea tree oil microcapsules per 1.2 L of storage space. Full article
(This article belongs to the Section Biotic and Abiotic Stress)
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17 pages, 3930 KB  
Article
Predicting Minimum Temperatures of Plastic Greenhouse During Strawberry Growing in Changfeng, China: A Comparison of Machine Learning Algorithms and Multiple Linear Regression
by Xuelin Wang, Qinqin Huang, Dong Wu, Jinhua Xie, Ming Cao and Jun Liu
Agronomy 2025, 15(3), 709; https://doi.org/10.3390/agronomy15030709 - 14 Mar 2025
Cited by 4 | Viewed by 1384
Abstract
Scientific management and environmental regulation of facility strawberries depends on the level of accurate prediction and forecasting of low temperature freezes in plastic greenhouses during winter and spring strawberry cultivation. Accurate identification of potential factors affecting layer-by-layer minimum temperatures in plastic greenhouses and [...] Read more.
Scientific management and environmental regulation of facility strawberries depends on the level of accurate prediction and forecasting of low temperature freezes in plastic greenhouses during winter and spring strawberry cultivation. Accurate identification of potential factors affecting layer-by-layer minimum temperatures in plastic greenhouses and selection of optimal forecasting methods are important for safe strawberry production. However, the identification of important drivers of minimum temperatures in plastic greenhouses and the prediction of potential drivers of use are still unclear. In this study, we used Classification and Regression Tree (CART) to identify the importance of the potential factors affecting the minimum temperatures at different depths and different heights of plastic greenhouses. Random forest (RF), back-propagation (BP), and multiple linear regression (MLR) were used to establish the minimum temperature prediction models for plastic greenhouses at different depths and heights, respectively. The results showed that Tsmin10, Tsmin25, Tamin150, Tamin320, and Tamin150 were the most important variables explaining the changes in minimum temperatures at heights Tsmin25, Tsmin10, Tsmin2, Tamin150, and Tamin320 respectively. RF, BP performed much better than MLR, as it showed much lower error indices (AE and RMSE) and higher R2 than MLR. The superiority of RF and BP in predicting minimum temperatures is related to their ability to deal with non-linear and hierarchical relationships between minimum temperatures and predictors. The low-temperature frost protection and fine management of strawberries in the Changfeng area can be related to the prediction method of minimum temperature in plastic greenhouses constructed in this study. Full article
(This article belongs to the Section Precision and Digital Agriculture)
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20 pages, 6234 KB  
Review
Exploring the Multifaceted Aspects of Strawberry Tree (Arbutus unedo L.) Forests in Portugal
by Maria Nazaré Coelho Pinheiro, Filomena Gomes, Goreti Botelho, Ivo Rodrigues, Ruslan Mariychuk and Lyudmyla Symochko
Land 2025, 14(3), 468; https://doi.org/10.3390/land14030468 - 24 Feb 2025
Cited by 6 | Viewed by 4564
Abstract
This article explores the ecological role of strawberry tree forests (Arbutus unedo L.) in the resilience of Portuguese forest ecosystems and their relationship with plant production as a source of food. It discusses the importance of the strawberry tree in fire combat [...] Read more.
This article explores the ecological role of strawberry tree forests (Arbutus unedo L.) in the resilience of Portuguese forest ecosystems and their relationship with plant production as a source of food. It discusses the importance of the strawberry tree in fire combat and the improvement of agroforestry areas by mitigating erosion and augmenting soil organic matter. The multifunctionality of their fruits, emphasizing their utilization in food and beverage production, is also addressed. Moreover, the socio-economic and cultural significance of fruit production, emphasizing its role in sustainable development, is analyzed. The diversity of beverages (spirits, liquors, and gin) and food products (jams, jellies, etc.) effectively contribute to have a positive social and economic impact on the local populations and tradition maintenance. Moreover, the bioactive compounds in different parts of the plants and fruits have applications in pharmacology and cosmetics. Finally, the valorization of strawberry tree spirits mush waste as a source of natural dyes for textiles is discussed as a promising research topic to be explored in the future. Full article
(This article belongs to the Special Issue Agroforestry Systems for Biodiversity and Landscape Conservation)
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9 pages, 1225 KB  
Communication
First Record of the Ambrosia Beetle Xylosandrus compactus (Coleoptera, Curculionidae) in Croatia
by Milan Pernek, Boris Hrašovec, Nikola Lacković, Ozana Domijan and Dimitrios Avtzis
Forests 2025, 16(1), 157; https://doi.org/10.3390/f16010157 - 16 Jan 2025
Cited by 4 | Viewed by 3093
Abstract
(1) Background: The invasive ambrosia beetle Xylosandrus compactus (Coleoptera, Curculionidae, Scolytinae) poses an increasing risk of being introduced into new environments, mostly unintentionally, via wood products, live plants, and wood packaging materials. It is already spreading across Europe and causing growing concern due [...] Read more.
(1) Background: The invasive ambrosia beetle Xylosandrus compactus (Coleoptera, Curculionidae, Scolytinae) poses an increasing risk of being introduced into new environments, mostly unintentionally, via wood products, live plants, and wood packaging materials. It is already spreading across Europe and causing growing concern due to its destructive behavior and by infesting a wide range of woody plants. The aim of this research is to identify X. compactus in Croatia and compile a list of recorded host plants. (2) Methods: Fieldwork was conducted through the assessment of beetle presence and infestation levels on host plants showing visible symptoms of attack, as well as through sampling of the beetles. Adult specimens of bark beetles were examined under a microscope, and molecular analysis was done. DNA was extracted from three randomly chosen individuals. The sequences were compared using the BLAST tool in the NCBI GenBank database. (3) Results and Conclusions: X. compactus was confirmed as a new record in Croatia, infesting laurel (Laurus nobilis), holm oak (Quercus ilex), laurestine (Viburnum tinus), olive (Olea sp.), myrtle (Myrtus communis), strawberry tree (Arbutus unedo), and pittosporum (Pittosporum tobira). Full article
(This article belongs to the Section Forest Health)
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18 pages, 4526 KB  
Article
Classification of Strawberry Maturity Stages and Varieties Using Neural Networks Based on Volatile Organic Compounds
by Jing Huang, Xuenan Zhang, Hang Yang, Zhenbiao Li, Zhengfang Xue, Qingqing Wang, Xinyuan Zhang, Shenghua Ding, Zisheng Luo and Yanqun Xu
Foods 2025, 14(2), 169; https://doi.org/10.3390/foods14020169 - 8 Jan 2025
Cited by 7 | Viewed by 3393
Abstract
Volatile organic compounds (VOCs) are closely associated with the maturity and variety of strawberries. However, the complexity of VOCs hinders their potential application in strawberry classification. This study developed a novel classification workflow using strawberry VOC profiles and machine learning (ML) models for [...] Read more.
Volatile organic compounds (VOCs) are closely associated with the maturity and variety of strawberries. However, the complexity of VOCs hinders their potential application in strawberry classification. This study developed a novel classification workflow using strawberry VOC profiles and machine learning (ML) models for precise fruit classification. A comprehensive VOC dataset was rapidly collected using gas chromatography-ion mobility spectrometry (GC-IMS) from five strawberry varieties at four maturity stages (n = 300) and visualized through principal component analysis (PCA). Five ML models were developed, including partial least squares discriminant analysis (PLS-DA), decision trees, support vector machines (SVM), Xgboost and neural networks (NN). The accuracy of all models ranged from 90.00% to 98.33%, with the NN model demonstrating the best performance. Specifically, it achieved 96.67% accuracy for single-maturity classification, 98.33% for single-variety classification, and 96.67% for dual maturity and variety classification, along with 98.09% precision, 97.92% recall, and 97.91% F1 score. Feature importance analysis indicated that the NN model exhibited the most balanced reliance on various VOCs, contributing to its optimal performance with the broad-spectrum VOC detection method, GC-IMS. Overall, these findings underscore the potential of NN modeling for accurate and efficient fruit classification based on integrated VOC profiles. Full article
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13 pages, 4637 KB  
Article
Valorization of Arbutus unedo L. Bark Through Chemical Composition Analysis, Liquefaction, and Bio-Based Foam Production
by Luísa Cruz-Lopes, Yuliya Dulyanska, Rogério Lopes, Idalina Domingos, José Ferreira and Bruno Esteves
Agronomy 2024, 14(12), 2893; https://doi.org/10.3390/agronomy14122893 - 4 Dec 2024
Cited by 4 | Viewed by 1682
Abstract
Arbutus unedo (strawberry tree) is a small Mediterranean tree capable of vigorous regrowth after disturbances like fire. Traditionally used for biomass fuel, its bark and branches hold potential for higher-value products through ecovalorization into liquid mixtures that could replace petroleum-based materials. This study [...] Read more.
Arbutus unedo (strawberry tree) is a small Mediterranean tree capable of vigorous regrowth after disturbances like fire. Traditionally used for biomass fuel, its bark and branches hold potential for higher-value products through ecovalorization into liquid mixtures that could replace petroleum-based materials. This study aimed to explore the chemical composition of various components of Arbutus unedo and to produce a liquefied material from its internal (IB) and external bark (EB). Chemical compositions of internal and external bark were determined using TAPPI standards including ash, extractive content, lignin, and cellulose. Metal cations were analyzed by ICP. Liquefaction of bark was optimized in a PARR reactor, evaluating factors such as particle size, temperature, and time, and the best polyols were monitored by FTIR-ATR. Polyurethane foams were made with internal and external bark materials liquefied by polymerization with isocyanate, a catalyst, and water as a blowing agent. Results showed that EB has a higher extractive and lignin content, while IB contains more cellulose. Liquefaction yields were higher for IB (74%) than EB (68%), with IB yielding polyols that produced stronger and more resilient foams with higher compressive strength and modulus of elasticity. Mechanical properties of the foams were influenced by the NCO/OH ratio and catalyst levels. Overall, the internal bark demonstrated superior performance for foam production, highlighting its potential as an eco-friendly alternative to petroleum-derived materials. Full article
(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)
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