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Search Results (1,448)

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26 pages, 10739 KiB  
Article
A Machine Learning Pipeline for Predicting Pinot Noir Wine Quality from Viticulture Data: Development and Implementation
by Don Kulasiri, Sarawoot Somin and Samantha Kumara Pathirannahalage
Foods 2024, 13(19), 3091; https://doi.org/10.3390/foods13193091 - 27 Sep 2024
Viewed by 441
Abstract
The quality of wine depends upon the quality of the grapes, which, in turn, are affected by different viticulture aspects and the climate during the grape-growing season. Obtaining wine professionals’ judgments of the intrinsic qualities of selected wine products is a time-consuming task. [...] Read more.
The quality of wine depends upon the quality of the grapes, which, in turn, are affected by different viticulture aspects and the climate during the grape-growing season. Obtaining wine professionals’ judgments of the intrinsic qualities of selected wine products is a time-consuming task. It is also expensive. Instead of waiting for the wine to be produced, it is better to have an idea of the quality before harvesting, so that wine growers and wine manufacturers can use high-quality grapes. The main aim of the present study was to investigate the use of machine learning aspects in predicting Pinot Noir wine quality and to develop a pipeline which represents the major steps from vineyards to wine quality indices. This study is specifically related to Pinot Noir wines based on experiments conducted in vineyards and grapes produced from those vineyards. Climate factors and other wine production factors affect the wine quality, but our emphasis was to relate viticulture parameters to grape composition and then relate the chemical composition to quality as measured by the experts. This pipeline outputs the predicted yield, values for basic parameters of grape juice composition, values for basic parameters of the wine composition, and quality. We also found that the yield could be predicted because of input data related to the characteristics of the vineyards. Finally, through the creation of a web-based application, we investigated the balance of berry yield and wine quality. Using these tools further developed, vineyard owners should be able to predict the quality of the wine they intend to produce from their vineyards before the grapes are even harvested. Full article
(This article belongs to the Section Drinks and Liquid Nutrition)
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<p>Viticulture-to-wine quality pipeline. This model takes viticulture data as inputs and predicts the yield with regard to the input. The second step predicts selected sets of chemical compositions measured in juice analysis. The juice parameters were taken as the inputs for the third step of the pipeline, and chemical substances measured during wine analysis were predicted. The last step predicts the quality of the wine product using wine composition as the input.</p>
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<p>Machine learning pipeline for the model: from data acquisition to development of end-user application.</p>
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<p>Histogram of all the features in the original dataset.</p>
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<p>Step-by-step approach for calculating the Shapley value.</p>
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<p>SHAP value diagram for quality.</p>
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<p>Comparison between the original values and log-transformed values of the feature ‘Cluster Weight (g)’.</p>
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<p>A simple perceptron model with one hidden layer.</p>
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<p>The random forest algorithm generates n number of decision trees, which takes subsets of the input dataset for training. The model’s final prediction will be the average of the outputs (1 to n) or the output with the highest number of votes in regression and classification, respectively.</p>
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<p>Model 1: predictive model for forecasting yield from viticulture data.</p>
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<p>Model 2: predictive model for forecasting selected juice parameters from viticulture data.</p>
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<p>Model 3: predictive model for forecasting selected wine parameters from juice parameters.</p>
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<p>Model 4: predictive model for forecasting wine quality from wine parameters.</p>
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<p>Anthocyanin trends based on statistical properties. The <span class="html-italic">y</span>-axis is the level of anthocyanin and the <span class="html-italic">x</span>-axis is the sample number.</p>
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<p>Trends based on statistical measures and the probability factor for each range of anthocyanin levels. <span class="html-italic">y</span>-axis: the level of anthocyanin; <span class="html-italic">x</span>-axis: the sample number.</p>
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<p>Wine quality trends for the 18 samples.</p>
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<p>Wine quality trends in 123 synthesised samples.</p>
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<p>R2 values for the three outputs (yield per vine, yield per metre, and yield per square metre measured in kilograms) and the overall R2 score for the model’s accuracy.</p>
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<p>R2 values for the 14 outputs and the overall R2 score for the model’s accuracy.</p>
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<p>R2 values for the six outputs and the overall R2 score for the model’s accuracy.</p>
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<p>Plot one output from model 1 (yield per metre in kilograms) against three inputs (cluster weight (g), leaf area per m (cm), and berry weight (g)).</p>
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<p>Plot one output from model 2 (pH value of juice) against three inputs (cluster weight (g), leaf area per m (cm), and berry weight (g)).</p>
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<p>Plot one output from model 3 (pH value of berry juice) against three inputs (berry OD520 (AU), juice pH, and juice tartaric acid (g/L)).</p>
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<p>Plot one output from model 4 (wine quality) against three inputs (wine monomeric anthocyanin (mg/L), wine total anthocyanin (mg/L), and polymeric anthocyanin (mg/L)).</p>
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<p>Components of cloud services.</p>
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<p>Web application for wine prediction.</p>
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<p>Input parameters for the web application.</p>
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<p>Output graphs from the web application.</p>
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<p>Viewing the values of input parameters for a certain point on the graph.</p>
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16 pages, 1609 KiB  
Article
Variation in Ants’ Chemical Recognition Signals across Vineyard Agroecosystems
by Arthur Hais, Luca Pietro Casacci, Patrizia d’Ettorre, David Badía-Villas, Chloé Leroy and Francesca Barbero
Int. J. Mol. Sci. 2024, 25(19), 10407; https://doi.org/10.3390/ijms251910407 - 27 Sep 2024
Viewed by 285
Abstract
Ant evolutionary success depends mainly on the coordination of colony members, who recognize nestmates based on the cuticular hydrocarbon (CHC) profile of their epicuticle. While several studies have examined variations in this crucial factor for colony identity, few have investigated the anthropic impact [...] Read more.
Ant evolutionary success depends mainly on the coordination of colony members, who recognize nestmates based on the cuticular hydrocarbon (CHC) profile of their epicuticle. While several studies have examined variations in this crucial factor for colony identity, few have investigated the anthropic impact on CHC profiles, and none have focused on Lasius paralienus. Here, we surveyed the changes in L. paralienus CHC assemblages across agroecosystems and assessed whether different vineyard management influences these profiles. Soil sampling within ant nests and in close surroundings was performed to measure microhabitat variations. Our results show that the cuticular chemical composition of Lasius paralienus is mainly affected by the differences between areas, with an existing but unclear anthropic influence on them. Normalized soil respiration partially explains these interarea variations. Irrespective of the conventional or organic management, human activities in agroecosystems mostly impacted L. paralienus linear alkanes, a specific class of CHCs known to play a major role against dehydration, but also affected the abundance of compounds that can be pivotal for maintaining the colony identity. Our findings suggest that vineyard practices primarily affect features of the ant cuticle, potentially enhancing microclimate adaptations. Still, the potential effects as disruptive factors need further investigation through the implementation of behavioral bioassays. Full article
(This article belongs to the Section Biochemistry)
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<p>Boxplots of the main chemical and physical properties as well as the normalized soil respiration (nSR) of the topsoil horizons (0–5 cm) of studied soils for each location and management combination, (<b>a</b>) pH, (<b>b</b>) electrical conductivity (µS/cm), (<b>c</b>) field capacity (%), (<b>d</b>) bulk density (g/cm<sup>3</sup>), (<b>e</b>) total organic matter (%), and (<b>f</b>) normalized soil respiration (mg of soil organic carbon/100 g of dry soil). Different letters indicate statistically different comparisons based on post hoc tests with a “Tukey” correction. Horizontal line = median value; box = 25th–75th percentiles; whiskers = minimum and maximum values; dots = outliers.</p>
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<p>Abundance (±SE) of the CHC profile extracted from the body surface of <span class="html-italic">L. paralienus</span> workers—(<b>a</b>) total, (<b>b</b>) alkanes, and (<b>c</b>) methyl-branched alkanes—inhabiting zones subject to different management (natural area and conventional and organic vineyards); (<b>d</b>) total, (<b>e</b>) alkanes, and (<b>f</b>) methyl-branched alkanes collected from several locations (Piverone, Pozzol Groppo, Serralunga). Bars with different letters are statistically different according to GLM pairwise comparisons.</p>
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<p>Relative proportions (±SE) of different CHC classes (alkanes and branched alkanes) extracted from the body surface of <span class="html-italic">L. paralienus</span> workers from—(<b>a</b>) several managements (natural area and conventional and organic vineyards) and (<b>b</b>) several locations (Piverone, Pozzol Groppo, Serralunga) colonies. Bars with different letters are statistically different according to GLM pairwise comparisons.</p>
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<p>Non-metric multidimensional scaling plots (k = 2) of the CHCs extracted from <span class="html-italic">L. paralienus</span> workers depending on both location and management (based on the first and second MDS vectors).</p>
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45 pages, 17760 KiB  
Review
Artificial Intelligence Techniques in Grapevine Research: A Comparative Study with an Extensive Review of Datasets, Diseases, and Techniques Evaluation
by Paraskevi Gatou, Xanthi Tsiara, Alexandros Spitalas, Spyros Sioutas and Gerasimos Vonitsanos
Sensors 2024, 24(19), 6211; https://doi.org/10.3390/s24196211 - 25 Sep 2024
Viewed by 1016
Abstract
In the last few years, the agricultural field has undergone a digital transformation, incorporating artificial intelligence systems to make good employment of the growing volume of data from various sources and derive value from it. Within artificial intelligence, Machine Learning is a powerful [...] Read more.
In the last few years, the agricultural field has undergone a digital transformation, incorporating artificial intelligence systems to make good employment of the growing volume of data from various sources and derive value from it. Within artificial intelligence, Machine Learning is a powerful tool for confronting the numerous challenges of developing knowledge-based farming systems. This study aims to comprehensively review the current scientific literature from 2017 to 2023, emphasizing Machine Learning in agriculture, especially viticulture, to detect and predict grape infections. Most of these studies (88%) were conducted within the last five years. A variety of Machine Learning algorithms were used, with those belonging to the Neural Networks (especially Convolutional Neural Networks) standing out as having the best results most of the time. Out of the list of diseases, the ones most researched were Grapevine Yellow, Flavescence Dorée, Esca, Downy mildew, Leafroll, Pierce’s, and Root Rot. Also, some other fields were studied, namely Water Management, plant deficiencies, and classification. Because of the difficulty of the topic, we collected all datasets that were available about grapevines, and we described each dataset with the type of data (e.g., statistical, images, type of images), along with the number of images where they were mentioned. This work provides a unique source of information for a general audience comprising AI researchers, agricultural scientists, wine grape growers, and policymakers. Among others, its outcomes could be effective in curbing diseases in viticulture, which in turn will drive sustainable gains and boost success. Additionally, it could help build resilience in related farming industries such as winemaking. Full article
(This article belongs to the Section Intelligent Sensors)
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<p>Full network visualization of the scientific literacy topic areas.</p>
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<p>Density visualization of the scientific literacy topic areas.</p>
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<p>Machine learning process in agriculture (adapted from [<a href="#B8-sensors-24-06211" class="html-bibr">8</a>], used under <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">CC BY 4.0</a>, accessed on 11 August 2024).</p>
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<p>Schematic diagram of supervised learning.</p>
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<p>Schematic diagram of Unsupervised Learning.</p>
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<p>Schematic diagram of reinforcement learning.</p>
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<p>Grapevine Yellow disease (cropped from [<a href="#B18-sensors-24-06211" class="html-bibr">18</a>], used under <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">CC BY 4.0</a>).</p>
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<p>Flavescence Dorée disease (reproduced from [<a href="#B20-sensors-24-06211" class="html-bibr">20</a>], used under <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">CC BY 4.0</a>).</p>
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<p>Esca disease (reproduced from [<a href="#B22-sensors-24-06211" class="html-bibr">22</a>], used under <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">CC BY 4.0</a>).</p>
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<p>Downy mildew disease (cropped from [<a href="#B24-sensors-24-06211" class="html-bibr">24</a>], used under <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">CC BY 4.0</a>).</p>
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<p>Leafroll disease (cropped from [<a href="#B18-sensors-24-06211" class="html-bibr">18</a>], used under <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">CC BY 4.0</a>).</p>
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<p>Pierce’s disease (cropped from [<a href="#B29-sensors-24-06211" class="html-bibr">29</a>], used under <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">CC BY 4.0</a>).</p>
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<p>Armillaria Root Rot disease (reproduced from [<a href="#B31-sensors-24-06211" class="html-bibr">31</a>], used under <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">CC BY 4.0</a>).</p>
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<p>Number of publications identifying each Machine Learning technique as superior.</p>
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<p>An overview of the reviewed papers according to the field of application.</p>
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<p>Map of research conducted on vineyards per country.</p>
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19 pages, 8108 KiB  
Article
Grape Endophytic Microbial Community Structures and Berry Volatile Components Response to the Variation of Vineyard Sites
by Ruihua Ren, Maoyu Zeng, Yunqi Liu, Jingjing Shi, Zhuowu Wan, Miaomiao Wang, Shibo Zhang, Zhenwen Zhang and Qingqing Zeng
Agronomy 2024, 14(10), 2186; https://doi.org/10.3390/agronomy14102186 - 24 Sep 2024
Viewed by 318
Abstract
Vitis vinifera L. is a commercially important horticultural plant with abundant microbial resources. However, the impact of grape-associated microbiota on grape quality and flavor has been largely overlooked. We integrated volatomics and microbiomics to explore temporal variations in berry volatiles and microbial diversity [...] Read more.
Vitis vinifera L. is a commercially important horticultural plant with abundant microbial resources. However, the impact of grape-associated microbiota on grape quality and flavor has been largely overlooked. We integrated volatomics and microbiomics to explore temporal variations in berry volatiles and microbial diversity of ‘Cabernet Sauvignon’ in Ningxia (NX) and Shanxi (SX), and the correlation between microbial communities and volatiles. A total of 38 and 35 free and bound aroma compounds, respectively, were identified in NX berries and SX berries. For free aroma, these 38 compounds were classified into aldehydes (69%), alcohols (22%), acids (4%), aromatics (4%), terpenes (0.6%), esters (0.37%), and norisoprenoids (0.3%). Similarly, the 35 bound aromas were attributed to aromatics (58%), acids (29%), terpenes (4%), esters (3%), alcohols (2.82%), aldehydes (2.78%), and norisoprenoids (0.4%). Additionally, a total of 616 bacterial genera and 254 fungal genera were detected in all samples from both regions. The results demonstrated that vineyard sites significantly shaped the characteristics of berry volatiles and microbial biogeographic patterns. SX berries exhibited more abundant free aroma and higher microbial diversity than NX berries, with three key taxa (Sphingomonas, Massilia, and Bacillus) identified in the bacterial network. Correlation analysis results highlighted that these key taxa might play an important role in berry-free aroma. This study reveals the crucial role of microbes in shaping grape flavor and uncovers the link between microbial diversity and the regional attributes of grapes and wine. Full article
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<p>Sample-collection diagram. The geographical distribution of two sampling sites in China (<b>A</b>); the location of sampling points in the Ningxia region (<b>B</b>); the location of sampling points in the Shanxi region (<b>C</b>).</p>
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<p>Dynamic changes of volatile aroma compounds concentrations during grape ripening at two different regions. Total concentration of free aroma (<b>A</b>) and bound aroma (<b>B</b>). Principal coordinate analysis (PCoA) based on Bray–Curtis and weighted UniFrac showing the geographical distance of free aroma (<b>C</b>) and bound aroma (<b>D</b>) at two regions, respectively. Heat map of free aroma (<b>E</b>) and bound aroma (<b>F</b>). NXF, grapes from the Ningxia region; SXF, grapes from the Shanxi region. Grape samples collected at the E-L 35 stage (NXF1 and SXF1), at the E-L 37 stage (NXF2 and SXF2), and at the E-L 38 stage (NXF3 and SXF3).</p>
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<p>The microbial community diversity of grape berries during ripening at two different regions. The Shannon indexes of bacteria (<b>A</b>) and fungi (<b>B</b>) showing alpha diversity of microbial communities, with results expressed as median ± SD of five biological replicates; ****, <span class="html-italic">p</span> &lt; 0.0001. Principal coordinate analysis (PCoA) based on Bray–Curtis and weighted UniFrac showing the beta diversity of bacterial (<b>C</b>) and fungal (<b>D</b>) communities, respectively. NXF, grapes from the Ningxia region; SXF, grapes from the Shanxi region. Grape samples collected at the E-L 35 stage, at the E-L 37 stage, and at the E-L 38 stage, respectively.</p>
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<p>The microbial community structure of grapes during ripening. Barplots showing the bacteria (<b>A</b>) and fungi (<b>B</b>) community composition characterized to the genus level (showing top 10). Venn diagrams showing the shared and unique OTUs of bacteria (<b>C</b>) and fungi (<b>D</b>). The significant differences of bacterial (<b>E</b>) and fungal (<b>F</b>) genera relative abundances between two different regions. ***, <span class="html-italic">p</span> &lt; 0.001; **, <span class="html-italic">p</span> &lt; 0.01; *, <span class="html-italic">p</span> &lt; 0.05. NXF (NXF1, NXF2, NXF3), grapes from the Ningxia region; SXF (SXF1, SXF2, and SXF3), grapes from the Shanxi region. Grape samples collected at the E-L 35 stage (NXF1 and SXF1), at the E-L 37 stage (NXF2 and SXF2), and at the E-L 38 stage (NXF3 and SXF3).</p>
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<p>Co-occurrences network of the bacterial communities in Ningxia (<b>A</b>) and Shanxi (<b>B</b>), and fungal communities in Ningxia (<b>C</b>) and Shanxi (<b>D</b>), respectively. The connections (edges) between nodes represents strong correlation (Spearman’s |r| &gt; 0.7 and <span class="html-italic">p</span> &lt; 0.01). The nodes represent taxa at different genus levels, and the size of each node is proportional to the number of connections (i.e., degrees). The nodes were colored according to different types of modularity classes at the phylum level. For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.</p>
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<p>Identification of core species. The SPEC-OCCU plots of the bacterial network show 1594 most abundant OTUs in each habitat type; the x-axis represents occupancy: how well an OTU is distributed in NXF or SXF; and the y-axis represents specificity: whether they are also found in other regions. Here, to find specialist species attributable to NXF (<b>A</b>) or SXF (<b>B</b>), we selected OTUs with specificity and occupancy greater than or equal to 0.7. The Zi-Pi method to reveal core hubs of bacterial networks in NXF (<b>C</b>) and SXF (<b>D</b>). Screening for core species based on “Shared OTUs”, “Specialist OTUs”, and “Keystone nodes” in NXF (<b>E</b>) and SXF (<b>F</b>). The relative abundance of core species identified in the NXF (<b>I</b>) and SXF (<b>G</b>,<b>H</b>) bacterial network. Specificity is defined as the ratio of the average abundance of a species in a habitat and the sum of the average abundance of each habitat of this species across all habitats; that is, a higher specificity indicates that the species is specific to a habitat type relative to other habitats. Occupancy is defined as the ratio of the number of samples in which the species is present to the total number of samples in a habitat; that is, a higher occupancy indicates that the species is common in the habitat [<a href="#B24-agronomy-14-02186" class="html-bibr">24</a>]. NXF, grapes from the Ningxia region; SXF, grapes from the Shanxi region.</p>
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<p>Correlation analysis between abundant bacterial and fungal taxa and volatiles (free aroma and bound aroma) during grape ripening at two different regions. Summary of significantly positive- and negative- related volatiles (<b>A</b>). Correlation networks based on Spearman pairwise coefficients (|r| &gt; 0.6 and <span class="html-italic">p</span> &lt; 0.05) (<b>B</b>), with red and green lines representing positive and negative correlations, respectively. VIP (pred) (variable importance in projection) values of bacterial and fungal taxa (relative abundance &gt; 0.1%) correlated with free aroma (<b>C1</b>) and bound aroma (<b>C2</b>) based on O2PLS analysis (microbial taxa, X; volatile compounds, Y). FA, free aroma; BA, bound aroma; F, fungi; B, bacteria. For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.</p>
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13 pages, 642 KiB  
Article
Biomass Resources from Vineyard Residues for the Production of Densified Solid Biofuels in the Republic of Moldova
by Grigore Marian, Tatiana Alexiou Ivanova, Andrei Gudîma, Boris Nazar, Leonid Malai, Teodor Marian and Andrei Pavlenco
Agronomy 2024, 14(10), 2183; https://doi.org/10.3390/agronomy14102183 - 24 Sep 2024
Viewed by 323
Abstract
This paper explores the utilization of biomass resources derived from vineyard residues for producing densified solid biofuels in the Republic of Moldova, with the aim of quantitatively and qualitatively evaluating the residue from vine pruning, focusing on the feasibility of its use as [...] Read more.
This paper explores the utilization of biomass resources derived from vineyard residues for producing densified solid biofuels in the Republic of Moldova, with the aim of quantitatively and qualitatively evaluating the residue from vine pruning, focusing on the feasibility of its use as raw material for the production of briquettes and pellets. The methodology includes the analysis of statistical data, as well as experimental investigations conducted at the Scientific Laboratory of Solid Biofuels of the Technical University of Moldova. Waste biomass samples were collected from various vineyards in the different districts of all three regions of the country, focusing on regions with significant plantations. Both quantitative and qualitative aspects of the biomass were assessed, considering the moisture content, calorific value, and ash content. It was found that about 1013 kg/ha of waste biomass is generated from the pruning of technical grape varieties with a net calorific value of 15.6 MJ/kg at a moisture content of 10 wt.% and about 1044 kg/ha with a calorific value of 16.4 MJ/kg from the table ones; both with an average ash content of 3 wt.%. The results indicated that vineyard pruning residues in the Republic of Moldova could provide a substantial biomass source, with an estimated total energy potential of approximately 370 TJ/y (80% located in the Southern region); they also highlighted the need for technological advancements and quality assurance procedures through which to ensure the efficiency and sustainability of biofuel production. The conclusions emphasize the numerous benefits of utilizing viticultural residue, both economically and ecologically, contributing to the sustainable development of the viticulture industry in the Republic of Moldova, as well as environmental protection. Full article
(This article belongs to the Section Farming Sustainability)
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<p>Sequences from the sampling process for the qualitative and quantitative estimation of vine biomass.</p>
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24 pages, 3861 KiB  
Article
Aesthetics of Afro-Andean Smoking Culture: Early Modern Peruvian Tobacco Pipes at the Edge of the Atlantic World
by Brendan J. M. Weaver, Jerry Smith Solano Calderon and Miguel Ángel Fhon Bazán
Arts 2024, 13(5), 143; https://doi.org/10.3390/arts13050143 - 20 Sep 2024
Viewed by 827
Abstract
Although situated at the geographic margin of the early modern Atlantic World, the Pacific coast of Peru was an important region in the development of African diasporic material culture. Adopting an interdisciplinary material historical approach, we present the first systematic discussion of the [...] Read more.
Although situated at the geographic margin of the early modern Atlantic World, the Pacific coast of Peru was an important region in the development of African diasporic material culture. Adopting an interdisciplinary material historical approach, we present the first systematic discussion of the known Afro-Atlantic-style tobacco pipes to be archaeologically recovered in Peru. Eighteen Afro-Atlantic-style tobacco pipes or pipe sherds dating to Peru’s Spanish colonial period have been identified across sites in the coastal cities of Lima and Trujillo and from a vineyard hacienda in rural Nasca. Tobacco pipes are among the most recognized and debated forms of early modern Atlantic African and diasporic expressions of material culture, as such, they present a powerful entry point to understanding the aesthetic consequences of colonial projects and diverse articulations across the Atlantic World. The material history of Afro-Atlantic smoking culture exemplifies how aesthetics moved between localities and developed diasporic entanglements. In addition to the formal analysis and visual description of the pipes, we examine historical documentation and the work of nineteenth-century Afro-Peruvian watercolorist Francisco (Pancho) Fierro to better understand the aesthetics of Afro-Andean smoking culture in Spanish colonial and early Republican Peru. Full article
(This article belongs to the Special Issue Black Artists in the Atlantic World)
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<p>Map of Peru with the locations of Trujillo, Lima, and Nasca indicated. Map by B. Weaver.</p>
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<p>Map of present-day Lima with the locations of the sites yielding Afro-Atlantic pipes. Map by B. Weaver.</p>
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<p>Afro-Atlantic-style pipes recovered from Quinta de Presa. (<b>A</b>) complete pipe, (<b>B</b>) pipe shank fragment, and (<b>C</b>–<b>F</b>) pipe bowl fragments. Edited from a photograph courtesy of Rubén Garcia Soto. Layout by J. Solano.</p>
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<p>Pipes recovered from Casa Bodega y Quadra. (<b>A</b>,<b>B</b>) Afro-Atlantic-style pipes with short shank, (<b>C</b>) Afro-Atlantic-style pipe with slightly longer shank, and (<b>D</b>) tin-enameled short-shank pipe. Photographs by M. Fhon. Layout by J. Solano.</p>
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<p>Lateral views of Afro-Atlantic-style pipes recovered from Parque de La Muralla (<b>A</b>,<b>B</b>). Photographs by Diana Allccarima Cristómo. Layout by J. Solano.</p>
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<p>Anterior and lateral views of Afro-Atlantic-style pipe recovered from Barrios Altos. Photograph courtesy of ProLima. Layout by J. Solano.</p>
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<p>Anterior and lateral views of Afro-Atlantic-style pipe recovered from Church of the Trinitarians. Photograph courtesy of ProLima. Layout by J. Solano.</p>
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<p>Lateral views of Afro-Atlantic-style pipe recovered from Alameda Chabuca Granda. Photograph courtesy of ProLima. Layout by J. Solano.</p>
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<p>Lateral and posterior views of Afro-Atlantic-style pipe recovered in Trujillo. Photograph and layout by J. Solano.</p>
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<p>Afro-Atlantic-style pipes recovered at the site of the Hacienda San Joseph de la Nasca (<b>A</b>,<b>B</b>). Photographs by B. Weaver. Layout by J. Solano.</p>
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<p>(<b>Left</b>): Detail of Fierro Palas, Francisco (attributed), ca. 1850. Indian Woman Smoking Cigar in Front of Breadstand, watercolor on paper, H 19.7 × 24.6 cm. Accession Number: 1967.36.20. Yale University Art Gallery, New Haven. Photograph in public domain. (<b>Right</b>): Detail of Fierro Palas, Francisco (attributed), ca. 1850. Woman with Basket on her Head, watercolor on paper, H 22.5 × 17.1 cm. Accession Number: 1967.36.32. Yale University Art Gallery, New Haven. Photograph in public domain.</p>
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<p>Upper register: Fierro Palas, Francisco (attributed), ca. 1850. Interior of an Inn, watercolor on paper, H 44.7 × 58.8 cm. Accession Number: 1967.36.40. Yale University Art Gallery, New Haven. Photograph in public domain. Lower register: details of Interior of an Inn featuring an Afro-Peruvian man (<b>left</b>) and woman (<b>right</b>) smoking tobacco pipes.</p>
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13 pages, 1718 KiB  
Article
The Variability of Berry Parameters Could Be an Indicator of the Potential Quality of the Vineyard
by Zlavek Travanic-Fuentes, Gastón Gutiérrez-Gamboa and Yerko Moreno-Simunovic
Plants 2024, 13(18), 2617; https://doi.org/10.3390/plants13182617 - 19 Sep 2024
Viewed by 338
Abstract
Background: Berry quality potential from a single vineyard is mainly defined based on some physicochemical parameters and subjective assessments. In this way, berry maturity variability would be a key factor affecting berry quality. Methods: This trial aimed to study the effects of the [...] Read more.
Background: Berry quality potential from a single vineyard is mainly defined based on some physicochemical parameters and subjective assessments. In this way, berry maturity variability would be a key factor affecting berry quality. Methods: This trial aimed to study the effects of the maturity variability of berries harvested from plots of low (~37,080 kg ha−1), middle (~12,545 kg ha−1), and high (~1476 kg ha−1) quality potential on berry and wine physicochemical parameters of Cabernet Sauvignon in two consecutive seasons. The quality potential of the plots was defined by the winemakers considering mostly yield per hectare and the final price of their wines. Results: The berry heterogeneous maturity of soluble solids and berry weight in Cabernet Sauvignon was confirmed. The coefficient of variability (CV) of berry weight of high-quality plots was high at véraison and decreased as ripening progressed, reaching CV of 19.9% at harvest. Low-quality plots showed the lowest CV of berry weight in all the studied dates, whereas high-quality plots presented the lowest CV in soluble solids content of berries, reaching a 5.1% of variability at harvest. The physicochemical parameters showed that high-quality plots were characterized by high levels of soluble solids and phenolic maturity parameters, whereas samples from low-quality plots reached high berry weight and malic acid content. Berry differences among the physicochemical parameters determined wine quality, which allowed for plots to be classified by their potential quality at harvest. Conclusions: Studying maturity variability of soluble solids and berry weight will allow for sampling to be sectorized within a vineyard to reduce the extremes of maturity that would affect wine quality and productive goals of winemakers. Full article
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<p>Evolution of berry weight and soluble solids in Cabernet Sauvignon samples from high-, middle-, and low-quality plots throughout ripening. Graph points corresponded to the means of the determinations obtained in each date that are shown with their standard deviation. In this, the means followed by the same lower-case letter in the same date do not differ statistically.</p>
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<p>Normal distribution of berry weight (g) and berry-soluble solids (°Brix) obtained from Cabernet Sauvignon samples plots with high-, middle-, and low-quality potential in 2019 and 2020 seasons.</p>
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<p>Principal component analysis was performed with the physicochemical parameters of berries obtained from Cabernet Sauvignon plots with high-, middle-, and low-quality potential in 2019 and 2020 seasons. Abbreviations: Soluble solids: °Brix. Anthocyanins A: extractable anthocyanins. Anthocyanins B: potential anthocyanins.</p>
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<p>Berry maturity evolution in the same bunch at 47 (<b>a</b>), 52 (<b>b</b>), 54 (<b>c</b>), 59 (<b>d</b>), 61 (<b>e</b>), 67 (<b>f</b>), 74 (<b>g</b>), and 79 (<b>h</b>) days after fruit set in Itahue, Curicó, Curicó Valley.</p>
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15 pages, 10492 KiB  
Article
The Spread of Lone Star Ticks (Amblyomma americanum) and Persistence of Blacklegged Ticks (Ixodes scapularis) on a Coastal Island in Massachusetts, USA
by Richard W. Johnson, Patrick Roden-Reynolds, Allison A. Snow and Stephen M. Rich
Insects 2024, 15(9), 709; https://doi.org/10.3390/insects15090709 - 17 Sep 2024
Viewed by 661
Abstract
In the northeastern USA, the distribution of lone star ticks (Amblyomma americanum) has expanded northward in recent decades, overlapping with the range of blacklegged ticks (Ixodes scapularis). Blacklegged ticks carry pathogens for diseases such as Lyme, babesiosis, and anaplasmosis, [...] Read more.
In the northeastern USA, the distribution of lone star ticks (Amblyomma americanum) has expanded northward in recent decades, overlapping with the range of blacklegged ticks (Ixodes scapularis). Blacklegged ticks carry pathogens for diseases such as Lyme, babesiosis, and anaplasmosis, while bites from lone star ticks cause other diseases and the alpha-gal syndrome allergy. Lone star ticks can become so abundant that they are perceived as more of a public health threat than blacklegged ticks. Using the island of Martha’s Vineyard, Massachusetts, as a case study, we analyzed data from a total of 1265 yard surveys from 2011 to 2024 to document lone star tick presence and subsequent expansion from two peripheral areas, Chappaquiddick and Aquinnah, to all six towns. The timing of lone star tick expansion on Martha’s Vineyard closely matched an increase in tick submissions to a pathogen testing center. At Chappaquiddick, drag sampling carried out in June 2023 and 2024 showed that both tick species were most common at wooded sites, where blacklegged nymphs were somewhat more abundant than lone star nymphs. However, lone star ticks occurred in a wider range of natural and peridomestic habitats than blacklegged nymphs, making them far more challenging for people to avoid and manage. Full article
(This article belongs to the Section Medical and Livestock Entomology)
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<p>Maps of yard survey data for lone star ticks (<span class="html-italic">Amblyomma americanum</span> (<b>A</b>–<b>C</b>)) and blacklegged ticks (<span class="html-italic">Ixodes scapularis</span> (<b>D</b>–<b>F</b>)). Sample sizes represent numbers of unique sites: top row, 2011–2015, N = 189; middle row, 2016–2019, N = 419; bottom row, 2020–2024, N = 339. Total sample sizes for each town and year are listed in <a href="#app1-insects-15-00709" class="html-app">Supplementary Table S1</a>.</p>
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<p>Map of 9 wooded sites and 5 open sites where tick densities per 0.5 km of trail were measured on Chappaquiddick Island, Martha’s Vineyard.</p>
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<p>Percent of yards in Chappaquiddick and Chilmark with at least 3 individuals of each tick species, blacklegged ticks (<span class="html-italic">Ixodes scapularis</span>) and lone star ticks (<span class="html-italic">Amblyomma americanum</span>), in 2011–2024. Sample sizes show the total number of surveys conducted for each period.</p>
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<p>(<b>A</b>) Number of lone star ticks (<span class="html-italic">Amblyomma americanum</span>) for the state of Massachusetts submitted to TickReport [<a href="#B30-insects-15-00709" class="html-bibr">30</a>] for pathogen testing from 2012 to 2023. Data represent adults and nymphs that had human hosts; N = 742. (<b>B</b>) Reported cases of ehrlichiosis for residents of Dukes County (pop. ~20,868), which includes Martha’s Vineyard and the town of Gosnold (pop. &lt; 100) [<a href="#B36-insects-15-00709" class="html-bibr">36</a>].</p>
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<p>Average densities of each tick species at wooded vs. open sites on Chappaquiddick Island in 2023 and 2024. Based on the average of 5–7 sites in each year; error bars show 1 SE. BL = blacklegged ticks (<span class="html-italic">Ixodes scapularis</span>), and LS = lone star ticks (<span class="html-italic">Amblyomma americanum</span>). Note difference in vertical scale for <a href="#insects-15-00709-f005" class="html-fig">Figure 5</a>A vs. <a href="#insects-15-00709-f005" class="html-fig">Figure 5</a>B.</p>
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<p>Average tick densities per 0.5 km at open sites in 2023 and 2024. LS = lone star tick (<span class="html-italic">Amblyomma americanum</span>), and BL = blacklegged nymphs (<span class="html-italic">Ixodes scapularis</span>). N = 5 sample dates per site each year.</p>
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17 pages, 1194 KiB  
Article
Preliminary Characterisation of Metschnikowia pulcherrima to Be Used as a Starter Culture in Red Winemaking
by Bruno Testa, Francesca Coppola, Massimo Iorizzo, Massimo Di Renzo, Raffaele Coppola and Mariantonietta Succi
Beverages 2024, 10(3), 88; https://doi.org/10.3390/beverages10030088 - 12 Sep 2024
Viewed by 368
Abstract
In the last decade, the application of non-Saccharomyces yeasts in oenology as a natural tool to obtain wine diversification and higher quality has aroused great interest. In this work, three Metschnikowia pulcherrima strains, isolated from a vineyard, were characterised through the evaluation [...] Read more.
In the last decade, the application of non-Saccharomyces yeasts in oenology as a natural tool to obtain wine diversification and higher quality has aroused great interest. In this work, three Metschnikowia pulcherrima strains, isolated from a vineyard, were characterised through the evaluation of their main oenological properties, antimicrobial activity, and specific enzymatic activities (β-glucosidase, β-lyase, polygalacturonase, and protease). The M. pulcherrima strains did not produce any inhibition against Saccharomyces cerevisiae, while they were able to exert an antimicrobial action against some unwanted bacteria and yeasts frequently present in grape must and potentially causing the alteration of wines. After this preliminary screening, M. pulcherrima AS3C1 has been selected to be used in the winemaking of red grape Vitis vinifera cv. Aglianico on a pilot scale. The effect of the sequential inoculation of M. pulcherrima AS3C1 with a commercial strain of S. cerevisiae was verified using for comparison a single inoculum with S. cerevisiae and a spontaneous fermentation. Our results showed a higher concentration of anthocyanins and catechins in wines obtained by the sequential inoculation of M. pulcherrima AS3C1 and S. cerevisiae. On the basis of the data obtained, M. pulcherrima AS3C1 possesses an enzymatic profile and some oenological properties that could contribute positively to the definition of the chemical composition of wines, suggesting its possible use for red winemaking processes. Full article
(This article belongs to the Section Wine, Spirits and Oenological Products)
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<p>Inhibitory effects of <span class="html-italic">M. pulcherrima</span> strains against <span class="html-italic">H. guilliermondii</span> ATCC 10630: (<b>1</b>) negative control; (<b>2</b>) inhibitory activity of <span class="html-italic">M. pulcherrima</span> ASB3R; (<b>3</b>) inhibitory activity of <span class="html-italic">M. pulcherrima</span> AS3C1; (<b>4</b>) inhibitory activity of <span class="html-italic">M. pulcherrima</span> 14AS.</p>
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<p>Colonies morphology of <span class="html-italic">S. cerevisiae</span> (creamy white) and <span class="html-italic">M. pulcherrima</span> (light blue) using WL agar medium.</p>
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<p>Ethanol evolution (% <span class="html-italic">v</span>/<span class="html-italic">v</span>) during fermentation in test AG-1 (inoculation with <span class="html-italic">S. cerevisiae</span> F33), test AG-2 (<span class="html-italic">M. pulcherrima</span> AS3C1 and <span class="html-italic">S. cerevisiae</span> F33, sequential inoculum), and test AG-3 (spontaneous fermentation).</p>
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28 pages, 2705 KiB  
Article
Estimating Evapotranspiration of Rainfed Winegrapes Combining Remote Sensing and the SIMDualKc Soil Water Balance Model
by Wilk S. Almeida, Paula Paredes, José Basto, Isabel Pôças, Carlos A. Pacheco and Teresa A. Paço
Water 2024, 16(18), 2567; https://doi.org/10.3390/w16182567 - 10 Sep 2024
Viewed by 552
Abstract
Soil water balance (SWB) in woody crops is sometimes difficult to estimate with one-dimensional models because these crops do not completely cover the soil and usually have a deep root system, particularly when cropped under rainfed conditions in a Mediterranean climate. In this [...] Read more.
Soil water balance (SWB) in woody crops is sometimes difficult to estimate with one-dimensional models because these crops do not completely cover the soil and usually have a deep root system, particularly when cropped under rainfed conditions in a Mediterranean climate. In this study, the actual crop evapotranspiration (ETc act) is estimated with the soil water balance model SIMDualKc which uses the dual-Kc approach (relating the fraction of soil cover with the crop coefficients) to improve the estimation of the water requirements of a rainfed vineyard, using data from a deep soil profile. The actual basal crop coefficient (Kcb act) obtained using the SIMDualKc model was compared with the Kcb act estimated using the A&P approach, which is a simplified approach based on measurements of the fraction of ground cover and crop height. Spectral vegetation indices (VIs) derived from Landsat-5 satellite data were used to determine the fraction of ground cover (fc VI) and thus the density coefficient (Kd). The SIMDualKc model was calibrated using available soil water (ASW) measurements down to a depth of 1.85 m, which significantly improved the conditions for using an SWB estimation model. The test of the model was performed using a different ASW dataset. A good agreement between simulated and field-measured ASW was observed for both data sets along the crop season, with RMSE < 12.0 mm and NRMSE < 13%. The calibrated Kcb values were 0.15, 0.60, and 0.52 for the initial, mid-season, and end season, respectively. The ratio between ETc act and crop evapotranspiration (ETc) was quite low between veraison and maturity (mid-season), corresponding to 36%, indicating that the rainfall was not sufficient to satisfy the vineyard’s water requirements. VIs used to compute fc VI were unable to fully track the plants’ conditions during water stress. However, ingestion of data from remote sensing (RS) showed promising results that could be used to support decision making in irrigation scheduling. Further studies on the use of the A&P approach using RS data are required. Full article
(This article belongs to the Section Soil and Water)
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<p>Study area location in Santarém, Portugal. (Vineyard approximate boundaries in black and sample collection area (SCA) in red). 1D (▲) and 2A (▄) are the locations of soil water content measurements used for calibrating and testing the SIMDualKc model, respectively. SAVI is the Soil Adjusted Vegetation Index.</p>
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<p>The annual cycle of the vine and the crop growth stages. The crop growth stages are delimited according to the FAO segmented curve [<a href="#B27-water-16-02567" class="html-bibr">27</a>].</p>
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<p>Average monthly reference evapotranspiration (ET<sub>o</sub>) and precipitation (P) for the period 1982–1987 and for the study year (1987) in Santarém, Portugal.</p>
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<p>Schematic partial top view (<b>a</b>) of the experimental layout and the access tubes (AT, blue circles) (<b>b</b>) locations at the experimental field, Santarém, Portugal.</p>
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<p>Available soil water dynamics for the calibration (<b>a</b>) and test (<b>b</b>) of the SIMDualKc model. Dots represent observations while the curve represents simulations of the available soil water (ASW). TAW represents the total available water, and RAW denotes the rapidly available water.</p>
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<p>Severity of water stress in a rainfed vineyard, according to the predawn leaf water potential (ψ<sub>p</sub>) limits proposed by [<a href="#B26-water-16-02567" class="html-bibr">26</a>], grown in Santarém, Central Portugal.</p>
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<p>Standard and actual basal crop coefficients (K<sub>cb</sub>, K<sub>cb act</sub>), soil evaporation coefficient (K<sub>e</sub>), and actual crop coefficient (K<sub>c act</sub> = K<sub>cb act</sub> + K<sub>e</sub>) and precipitation (P) computed by the SIMDualKc model in a rainfed vineyard in Santarém, Portugal.</p>
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<p>Simulated soil water balance components: precipitation, evapotranspiration (ET), soil water content variation (Δ ASW), runoff (RO), and capillary rise (CR) (all variables in mm) after accurate SIMDualKc model calibration.</p>
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16 pages, 1281 KiB  
Article
Carbon and Nitrogen Stocks in Vineyard Soils Amended with Grape Pomace Residues
by Allan Augusto Kokkonen, Samuel Schemmer, Rian Brondani, João Francisco Fornari, Daniéle Gonçalves Papalia, Elena Baldi, Moreno Toselli, Jean Michel Moura-Bueno, Arcângelo Loss, Tadeu Luis Tiecher and Gustavo Brunetto
Agronomy 2024, 14(9), 2055; https://doi.org/10.3390/agronomy14092055 - 8 Sep 2024
Viewed by 729
Abstract
Fruit crops under soil conservational management might sequester carbon (C) in soils and mitigate greenhouse gases emissions. Using grape pomace residues as soil amendment holds promise for sustainable viticulture. However, its actual capability to increase soil organic carbon (SOC) and nitrogen (N) is [...] Read more.
Fruit crops under soil conservational management might sequester carbon (C) in soils and mitigate greenhouse gases emissions. Using grape pomace residues as soil amendment holds promise for sustainable viticulture. However, its actual capability to increase soil organic carbon (SOC) and nitrogen (N) is unknown, especially in subtropical climates. This research aims to investigate whether grape pomace compost and vermicompost can increase SOC, total N (TN), and C and N stocks in subtropical vineyards. Two vineyards located in Veranópolis, in South Brazil, one cultivated with ‘Isabella’ and the other with ‘Chardonnay’ varieties, were annually amended with these residues for three years. We quantified SOC and TN in each condition in different soil layers, as well as C and N content in two different granulometric fractions: mineral-associated organic matter (MAOM) and particulate organic matter (POM). C and N stocks were also calculated. Despite potential benefits, neither treatment enhanced SOC, its fractions, or C stocks. In fact, vermicompost was rapidly mineralized and depleted SOC and its fractions in the 0.0 to 0.05 m layers of the ‘Isabella’ vineyard. Our findings indicate that the tested grape pomace residues were unable to promote C sequestration in subtropical vineyards after a three-year period. Full article
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<p>Accumulated monthly rainfall (mm), shown in bars, and monthly mean temperatures (°C), shown in lines, from January 2020 to February 2023, obtained from an automatic meteorological station (National Institute of Meteorology conventional station) located 150 m from the vineyards.</p>
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<p>C stocks on 0.0–0.05 m, 0.05–0.10 m, 0.10–0.20 m, and 0.20–0.40 m soil layers, in Vineyard 1 (‘Isabella’) (<b>a</b>) and Vineyard 2 (‘Chardonnay’) (<b>b</b>), after three years of the following treatment applications: C—control (no organic fertilization), VC—fertilization with grape pomace vermicompost, and CO—fertilization with grape pomace compost. Darker colors indicate the MAOC fraction and the lighter colors indicate the POC fraction. <span class="html-italic">p</span>-values of ANOVA test are shown and different letters indicate different means among treatments (Tukey test, α = 5%).</p>
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<p>N stocks on 0.0–0.05 m, 0.05–0.10 m, 0.10–0.20 m, and 0.20–0.40 m soil layers, in Vineyard 1 (‘Isabella’) (<b>a</b>) and Vineyard 2 (‘Chardonnay’) (<b>b</b>), after three years of the following treatment applications: C—control (no organic fertilization), VC—fertilization with grape pomace vermicompost, and CO—fertilization with grape pomace compost. Darker colors indicate the MAN fraction and the lighter colors indicate the PN fraction. <span class="html-italic">p</span>-values of ANOVA test are shown and different letters indicate different means among treatments (Tukey test, α = 5%).</p>
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20 pages, 1575 KiB  
Review
From Waste to Value in Circular Economy: Valorizing Grape Pomace Waste through Vermicomposting
by Georgiana-Diana Gabur, Carmen Teodosiu, Daniela Fighir, Valeriu V. Cotea and Iulian Gabur
Agriculture 2024, 14(9), 1529; https://doi.org/10.3390/agriculture14091529 - 5 Sep 2024
Viewed by 660
Abstract
From the vineyard to the bottle, the winemaking process generates a variety of by-products, such as vinasses, spent filter cakes, grape pomace, grape lees, and vine shoots. To avoid damaging the environment and to reduce economic impacts, the by-products and wastes must be [...] Read more.
From the vineyard to the bottle, the winemaking process generates a variety of by-products, such as vinasses, spent filter cakes, grape pomace, grape lees, and vine shoots. To avoid damaging the environment and to reduce economic impacts, the by-products and wastes must be handled, disposed of, or recycled properly. This review focuses on an environmentally friendly approach to the management and added value of winemaking by-products, such as grape pomace or grape marc, by using vermicomposting. Vermicompost is a well-known organic fertilizer with potential uses in soil bioremediation and the conservation of soil health. To achieve environmental neutral agriculture practices, vermicomposting is a promising tool for resilient and sustainable viticulture and winemaking. Vermicomposting is a simple, highly beneficial, and waste-free method of converting organic waste into compost with high agronomic value and a sustainable strategy in line with the principles of the circular economy. Full article
(This article belongs to the Section Agricultural Soils)
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<p>Schematic diagram for the winemaking process for zero waste and valuable by-products through vermicomposting. Green lines represent the flow of materials between different winemaking stages and resulting by-products or bioenergy sources.</p>
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<p>The usefulness and valorization of grape pomace.</p>
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<p>Advantages of use of vermicompost in neutral agriculture practices.</p>
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19 pages, 3528 KiB  
Article
Preliminary Evaluation of New Wearable Sensors to Study Incongruous Postures Held by Employees in Viticulture
by Sirio Rossano Secondo Cividino, Mauro Zaninelli, Veronica Redaelli, Paolo Belluco, Fabiano Rinaldi, Lena Avramovic and Alessio Cappelli
Sensors 2024, 24(17), 5703; https://doi.org/10.3390/s24175703 - 2 Sep 2024
Viewed by 652
Abstract
Musculoskeletal Disorders (MSDs) stand as a prominent cause of injuries in modern agriculture. Scientific research has highlighted a causal link between MSDs and awkward working postures. Several methods for the evaluation of working postures, and related risks, have been developed such as the [...] Read more.
Musculoskeletal Disorders (MSDs) stand as a prominent cause of injuries in modern agriculture. Scientific research has highlighted a causal link between MSDs and awkward working postures. Several methods for the evaluation of working postures, and related risks, have been developed such as the Rapid Upper Limb Assessment (RULA). Nevertheless, these methods are generally applied with manual measurements on pictures or videos. As a consequence, their applicability could be scarce, and their effectiveness could be limited. The use of wearable sensors to collect kinetic data could facilitate the use of these methods for risk assessment. Nevertheless, the existing system may not be usable in the agricultural and vine sectors because of its cost, robustness and versatility to the various anthropometric characteristics of workers. The aim of this study was to develop a technology capable of collecting accurate data about uncomfortable postures and repetitive movements typical of vine workers. Specific objectives of the project were the development of a low-cost, robust, and wearable device, which could measure data about wrist angles and workers’ hand positions during possible viticultural operations. Furthermore, the project was meant to test its use to evaluate incongruous postures and repetitive movements of workers’ hand positions during pruning operations in vineyard. The developed sensor had 3-axis accelerometers and a gyroscope, and it could monitor the positions of the hand–wrist–forearm musculoskeletal system when moving. When such a sensor was applied to the study of a real case, such as the pruning of a vines, it permitted the evaluation of a simulated sequence of pruning and the quantification of the levels of risk induced by this type of agricultural activity. Full article
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<p>Semi-direct methods: example of application of the data acquisition method through a sequence of images [<a href="#B3-sensors-24-05703" class="html-bibr">3</a>].</p>
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<p>Example parts of the developed sensor: (<b>1</b>) the design of the 3D printed sensor, aiming at the maximum contact surface with the body; (<b>2</b>) the display, used to show the real-time data acquired during the test; (<b>3</b>) the whip straps, added to the case to facilitate its wearing.</p>
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<p>Sensor positioning methodology (<b>A</b>) and sensor placement during experimental test (<b>B</b>).</p>
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<p>Model of the robotic arm used to study the movements of the musculoskeletal hand–wrist–forearm system. The reported angles are related to those acquired through the studied sensors.</p>
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<p>Incongruous reference positions of the musculoskeletal considered during the laboratory tests performed to evaluate the reliability of sensors.</p>
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<p>Simulation of the vineyard and cuts. The brown structure is the simulated grapevine used for the performed cutting tests; the red parts show the cutting sequence, performed three times by each operator involved in the tests.</p>
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<p>Graphical examples of usual positions (<b>A</b>) and limit angles (<b>B</b>) identified as risk factors on the basis of regulations, scientific literature, and ergonomic risk assessment methods. If these awkward postures (<b>B</b>) are assumed many times during a workday, for a long period, they could cause an occupational disease.</p>
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15 pages, 23629 KiB  
Article
Machine Learning Methods for Evaluation of Technical Factors of Spraying in Permanent Plantations
by Vjekoslav Tadić, Dorijan Radočaj and Mladen Jurišić
Agronomy 2024, 14(9), 1977; https://doi.org/10.3390/agronomy14091977 - 1 Sep 2024
Viewed by 399
Abstract
Considering the demand for the optimization of the technical factors of spraying for a greater area coverage and minimal drift, field tests were carried out to determine the interaction between the area coverage, number of droplets per cm2, droplet diameter, and [...] Read more.
Considering the demand for the optimization of the technical factors of spraying for a greater area coverage and minimal drift, field tests were carried out to determine the interaction between the area coverage, number of droplets per cm2, droplet diameter, and drift. The studies were conducted with two different types of sprayers (axial and radial fan) in an apple orchard and a vineyard. The technical factors of the spraying interactions were nozzle type (ISO code 015, code 02, and code 03), working speed (6 and 8 km h−1), and spraying norm (250–400 L h−1). The airflow of both sprayers was adjusted to the plantation leaf mass and the working pressure was set for each repetition separately. A method using water-sensitive paper and a digital image analysis was used to collect data on coverage factors. The data from the field research were processed using four machine learning models: quantile random forest (QRF), support vector regression with radial basis function kernel (SVR), Bayesian Regularization for Feed-Forward Neural Networks (BRNN), and Ensemble Machine Learning (ENS). Nozzle type had the highest predictive value for the properties of number of droplets per cm2 (axial = 69.1%; radial = 66.0%), droplet diameter (axial = 30.6%; radial = 38.2%), and area coverage (axial = 24.6%; radial = 34.8%). Spraying norm had the greatest predictive value for area coverage (axial = 43.3%; radial = 26.9%) and drift (axial = 72.4%; radial = 62.3%). Greater coverage of the treated area and a greater number of droplets were achieved with the radial sprayer, as well as less drift. The accuracy of the machine learning model for the prediction of the treated surface showed a satisfactory accuracy for most properties (R2 = 0.694–0.984), except for the estimation of the droplet diameter for an axial sprayer (R2 = 0.437–0.503). Full article
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<p>The workflow of the proposed leaf spraying coverage prediction based on an ensemble machine learning approach.</p>
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<p>Apple orchard (<b>a</b>) and vineyard (<b>b</b>) in field research.</p>
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<p>Axial (<b>a</b>) and radial (<b>b</b>) sprayer.</p>
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<p>Water-sensitive papers (WSPs).</p>
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<p>Boxplots for distribution of technical factors of spraying according to coverage factors.</p>
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<p>The relative variable importance of four independent technical factors of spraying used for the prediction of spraying coverage factors.</p>
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15 pages, 3547 KiB  
Article
Assessing the Potential of Tortistilus (Hemiptera: Membracidae) from Northern California Vineyards as Vector Candidates of Grapevine Red Blotch Virus
by Victoria J. Hoyle, Elliot J. McGinnity Schneider, Heather L. McLane, Anna O. Wunsch, Hannah G. Fendell-Hummel, Monica L. Cooper and Marc F. Fuchs
Insects 2024, 15(9), 664; https://doi.org/10.3390/insects15090664 - 31 Aug 2024
Viewed by 550
Abstract
Ceresini treehoppers are present in northern California vineyard ecosystems, including the closely related Spissistilus and Tortistilus (Hemiptera: Membracidae). These membracids are not direct pests of wine grapes, but S. festinus is a vector of grapevine red blotch virus (GRBV). No information is available [...] Read more.
Ceresini treehoppers are present in northern California vineyard ecosystems, including the closely related Spissistilus and Tortistilus (Hemiptera: Membracidae). These membracids are not direct pests of wine grapes, but S. festinus is a vector of grapevine red blotch virus (GRBV). No information is available on the ability of Tortistilus spp. to transmit GRBV. In this study, Tortistilus were collected on yellow panel cards across 102 vineyard sites and surrounding areas in Napa Valley, California, USA in 2021–2023. Specimens were morphotyped, sexed and tested for GRBV ingestion and acquisition by multiplex PCR or qPCR. Phylogenetic analysis of the partial sequence of mt-COI and ITS gene fragments of a subset of 40 Tortistilus specimens revealed clustering in a monophyletic clade with T. wickhami with the former barcode sequence. Only 6% (48/758) of the T. wickhami tested positive for GRBV, but none of the heads with salivary glands (0%, 0/50) of the dissected specimens tested positive for GRBV, indicating no virus acquisition. In contrast, half of the dissected heads with salivary glands of S. festinus (52%, 12/23), from the same collection vineyard sites, tested positive for GRBV. Together, our findings confirmed the presence of T. wickhami in northern California vineyards and suggested a dubious role of this treehopper as a vector of GRBV. Full article
(This article belongs to the Section Insect Pest and Vector Management)
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Figure 1

Figure 1
<p>Depiction of a <span class="html-italic">Tortistilus wickhami</span> (<b>A</b>) and a <span class="html-italic">Spissistilus festinus</span> (<b>B</b>) with a differential morphological shape. Note the pronotum rising vertically above the head with lateral ridges joining over the thorax for <span class="html-italic">T. wickhami</span>, compared with the pronotum gradually curving backwards for <span class="html-italic">S. festinus.</span></p>
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<p>Location of the 102 vineyard sites selected for this study in Napa Valley, California, USA, depicting the abundance of <span class="html-italic">Tortistilus</span> and the presence of grapevine red blotch virus (GRBV) in specimens collected, as shown by PCR. Positive (+) indicates only GRBV positive specimens; Mix (-/+) indicates a combination of GRBV positive and negative specimens; and Negative (-) indicates only GRBV negative specimens at each of the 102 vineyard sites.</p>
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<p>The cumulative distribution of <span class="html-italic">Tortistilus</span> collected by sex, in northern California vineyards, over three growing seasons (June to November in 2021 and March to November in 2022 and 2023).</p>
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<p>A side angle view of 24 <span class="html-italic">Tortistilus wickhami</span> specimens collected in northern California vineyards obtained under a SZX16 stereoscope (Olympus, Center Valley, PA, USA). Photographs were captured using the cellSense Standard software (version 1.18).</p>
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<p>A dorsal view of the same 24 <span class="html-italic">Tortistilus wickhami</span> specimens shown in <a href="#insects-15-00664-f004" class="html-fig">Figure 4</a> obtained under a SZX16 stereoscope (Olympus, Center Valley, PA, USA). Photographs were captured using the cellSense Standard software (version 1.18).</p>
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<p>A face view of the same 24 <span class="html-italic">Tortistilus wickhami</span> specimens shown in <a href="#insects-15-00664-f004" class="html-fig">Figure 4</a> obtained under a SZX16 stereoscope (Olympus, Center Valley, PA, USA). Photographs were captured using the cellSense Standard software (version 1.18).</p>
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<p>Phylogeny of partial mitochondrial cytochrome C oxidase I (mt-COI) sequences from <span class="html-italic">Tortistilus</span> populations collected from various sites and years in northern California vineyards produced by the Maximum Likelihood analysis with 1000 bootstrap replicates. Sequences derived from specimens collected in this study are listed without accession numbers and correspond to the information in <a href="#insects-15-00664-t001" class="html-table">Table 1</a>, while the remaining sequences were retrieved from GenBank.</p>
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<p>Phylogenetic analysis of partial internal transcribed spacer 2 (ITS2) sequences from <span class="html-italic">Tortistilus</span> populations collected from various sites and years in northern California vineyards produced by Maximum Likelihood analysis with 1000 bootstrap replicates. <span class="html-italic">Tortistilus</span> sequences are derived from specimens listed in <a href="#insects-15-00664-t001" class="html-table">Table 1</a>. Additional sequences are from Ceresini treehoppers sourced from New York or retrieved from GenBank.</p>
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<p>Diagnostic polymerase chain reaction for DNA-sequence-based identification of <span class="html-italic">Spissistilus festinus</span> (lanes 1–3, 496 bp) and <span class="html-italic">Tortistilus wickhami</span> (lanes 4–6, 314 bp) specimens from northern California using <span class="html-italic">S. festinus</span> TCAHcoiWestF and TCAHcoiWestR primers (<b>A</b>) or <span class="html-italic">T. wickhami</span> TWICKcoiF and TWICKcoiR primers (<b>B</b>). Lane 6 is a water control.</p>
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