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20 pages, 3649 KB  
Article
Transcriptome Analysis and Its Application in Screening Genes Related to the Growth and Development of Sarcomyxa edulis
by Wanzhu Jiang, Xiao Huang, Peng Wang, Bilal Ahmad, Ting Yang, Ziyuan Wang, Tianyu Ren and Jize Xu
J. Fungi 2025, 11(10), 750; https://doi.org/10.3390/jof11100750 - 20 Oct 2025
Abstract
Sarcomyxa edulis is a characteristic edible and medicinal mushroom found in Northeast China that is highly valued by consumers for its tender texture, pleasant flavor, and high nutritional value. To gain a deeper understanding of the molecular mechanisms underlying the development of S. [...] Read more.
Sarcomyxa edulis is a characteristic edible and medicinal mushroom found in Northeast China that is highly valued by consumers for its tender texture, pleasant flavor, and high nutritional value. To gain a deeper understanding of the molecular mechanisms underlying the development of S. edulis fruiting bodies, this study utilized the Illumina NovaSeq platform to perform transcriptome sequencing at three growth and development stages of S. edulis strain SE8, namely primordia (SE8–P), fruiting body differentiation (SE8–F), and mature fruiting body (SE8–M). A total of 54.67 Gb of clean data was obtained, with a GC content of around 51%. After assembly, 36,423 Unigenes were obtained. Functional annotation was performed on the Unigenes, resulting in 21,206 Unigene annotation results. Differential expression gene analysis showed that 79,606 and 523 DEGs were annotated in at least one database during the SE8–P vs. SE8–F, SE8–F vs. SE8–M, and SE8–P vs. SE8–M processes, respectively. Among these, the genes encoding aldehyde dehydrogenase and fungal hydrophobins were consistently downregulated, playing a negative regulatory role in the growth and development of S. edulis. The genes encoding glycoside hydrolase and AB hydrolase superfamily proteins were consistently upregulated, playing a positive regulatory role in growth and development. Among these, the genes encoding aldehyde dehydrogenase were annotated to the Tryptophan metabolism (ko00380) pathway through KEGG, suggesting that aldehyde dehydrogenase regulates indoacetate formation in the fruiting body of S. edulis. The accuracy of RNA–Seq and DEG analysis was validated using quantitative PCR. This study enriches our knowledge of the genetic information and provides a theoretical basis for the molecular mechanisms of fruiting body development of S. edulis. Full article
(This article belongs to the Special Issue Fungal Biotechnology and Application 3.0)
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20 pages, 6299 KB  
Article
Quality and Maturity Detection of Korla Fragrant Pears via Integrating Hyperspectral Imaging with Multiscale CNN–LSTM
by Zhengbao Long, Tongzhao Wang, Zhijuan Zhang and Yuanyuan Liu
Foods 2025, 14(20), 3561; https://doi.org/10.3390/foods14203561 - 19 Oct 2025
Abstract
To address the limitations of single indices in comprehensively evaluating the quality of Korla fragrant pears, this study proposes the firmness–soluble solids ratio (FSR), defined as the ratio of average firmness (FI) to soluble solid content (SSC) for each individual fruit, as a [...] Read more.
To address the limitations of single indices in comprehensively evaluating the quality of Korla fragrant pears, this study proposes the firmness–soluble solids ratio (FSR), defined as the ratio of average firmness (FI) to soluble solid content (SSC) for each individual fruit, as a novel index. Using 600 samples from five maturity stages with hyperspectral imaging (950–1650 nm), the dataset was split 4:1 by the SPXY algorithm. The findings demonstrated that FSR’s effectiveness in quantifying the dynamic relationship between FI and SSC during maturation. The developed multiscale convolutional neural network–long short-term memory (MSCNN–LSTM) model achieved high prediction accuracy with determination coefficients of 0.8934 (FI), 0.8731 (SSC), and 0.8610 (FSR), and root mean square errors of 0.9001 N, 0.7976%, and 0.1676, respectively. All residual prediction deviation values exceeded 2.5, confirming model robustness. The MSCNN–LSTM showed superior performance compared to other benchmark models. Furthermore, the integration of prediction models with visualization techniques successfully mapped the spatial distribution of quality indices. For maturity discrimination, hyperspectral-based partial least squares discriminant analysis and linear discriminant analysis models achieved perfect classification accuracy (100%) under five-fold cross-validation across all five maturity stages. This work provides both a theoretical basis and a technical framework for non-destructive evaluation of comprehensive quality and maturity in Korla fragrant pears. Full article
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17 pages, 2100 KB  
Article
Resolving the Texture–Flavor Trade-Off in ‘Annurca’ Apples with an Integrated Postharvest System
by Giandomenico Corrado, Alessandro Mataffo, Pasquale Scognamiglio, Maurizio Teobaldelli and Boris Basile
Foods 2025, 14(20), 3554; https://doi.org/10.3390/foods14203554 - 18 Oct 2025
Viewed by 50
Abstract
The ‘Annurca’ apple, a traditional Italian cultivar protected by the “Melannurca Campana” EU PGI designation, undergoes a mandatory, traditional postharvest reddening process in a melaio. While essential for developing its characteristic flavor and color, this process can also lead to significant textural degradation, [...] Read more.
The ‘Annurca’ apple, a traditional Italian cultivar protected by the “Melannurca Campana” EU PGI designation, undergoes a mandatory, traditional postharvest reddening process in a melaio. While essential for developing its characteristic flavor and color, this process can also lead to significant textural degradation, resulting in a mealy and soft fruit that conflicts with modern consumer expectations. This study investigated an integrated postharvest strategy to resolve this quality trade-off. We evaluated the sensory profile and consumer acceptance of ‘Annurca’ apples subjected to three treatments: traditional melaio reddening (Melaio), a 1-methylcyclopropene treatment alone (MCP), and a combined treatment of MCP followed by melaio reddening (MCP+Melaio). A panel of 534 consumers evaluated the apples for overall liking and the intensity of seven key sensory attributes. The results showed that the integrated ‘MCP+Melaio’ treatment was significantly preferred (Mean liking = 6.61) over both the traditional ‘Melaio’ (M = 5.91) and ‘MCP’ alone (M = 5.91) treatments. This preference was driven by a superior sensory profile that combined the high crunchiness and low mealiness of the MCP treatment with the high perceived aroma intensity and sweetness developed during the melaio phase. Furthermore, consumer segmentation analysis identified four distinct preference clusters, revealing that the integrated treatment’s success derived from its ability to satisfy the divergent priorities of the two largest segments: “Melaio Fans” (37%) and “Texture & Flavor Seekers” (35%). Our findings demonstrate that combining 1-MCP with traditional practices creates a synergistic effect, producing a high-quality apple that is texturally superior, aromatically intense, and has an extended sensory shelf-life. This integrated approach offers a scientifically validated and practical solution to enhance the quality and consistency of ‘Annurca’ apple production. Full article
(This article belongs to the Section Sensory and Consumer Sciences)
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29 pages, 10201 KB  
Article
Hybrid Methodological Evaluation Using UAV/Satellite Information for the Monitoring of Super-Intensive Olive Groves
by Esther Alfonso, Serafín López-Cuervo, Julián Aguirre, Enrique Pérez-Martín and Iñigo Molina
Appl. Sci. 2025, 15(20), 11171; https://doi.org/10.3390/app152011171 - 18 Oct 2025
Viewed by 72
Abstract
Advances in Earth observation technology using multispectral imagery from satellite Earth observation systems and sensors mounted on unmanned aerial vehicles (UAVs) are enabling more accurate crop monitoring. These images, once processed, facilitate the analysis of crop health by enabling the study of crop [...] Read more.
Advances in Earth observation technology using multispectral imagery from satellite Earth observation systems and sensors mounted on unmanned aerial vehicles (UAVs) are enabling more accurate crop monitoring. These images, once processed, facilitate the analysis of crop health by enabling the study of crop vigour, the calculation of biomass indices, and the continuous temporal monitoring using vegetation indices (VIs). These indicators allow for the identification of diseases, pests, or water stress, among others. This study compares images acquired with the Altum PT sensor (UAV) and Super Dove (satellite) to evaluate their ability to detect specific problems in super-intensive olive groves at two critical times: January, during pruning, and April, at the beginning of fruit development. Four different VIs were used, and multispectral maps were generated for each: the Normalized Difference Vegetation Index (NDVI), the Green Normalized Difference Vegetation Index (GNDVI), the Normalized Difference Red Edge Index (NDRE) and the Leaf Chlorophyll Index (LCI). Data for each plant (n = 11,104) were obtained for analysis across all dates and sensors. A combined methodology (Spearman’s correlation coefficient, Student’s t-test and decision trees) was used to validate the behaviour of the variables and propose predictive models. The results showed significant differences between the sensors, with a common trend in spatial patterns and a correlation range between 0.45 and 0.68. Integrating both technologies enables multiscale assessment, optimizing agronomic management and supporting more sustainable precision agriculture. Full article
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12 pages, 1085 KB  
Article
Field-Based Spatiotemporal Dynamics, Ovarian Maturation and Laboratory Oviposition Behavior of Drosophila suzukii in Peach: Key Insights for Integrated Pest Management
by Matteo Pacella, Giorgio Sperandio, Sara Ruschioni, Fabio Ramilli, Lorenzo Corsi, Abdalhadi M.A. Abulebda, Maria Chiara Battistelli and Paola Riolo
Agronomy 2025, 15(10), 2415; https://doi.org/10.3390/agronomy15102415 - 18 Oct 2025
Viewed by 126
Abstract
Drosophila suzukii is a key invasive pest, and infestation in peach orchards can lead to significant economic losses. This study monitored the spatial distribution and reproductive biology of D. suzukii in central Italy to inform integrated pest management (IPM) strategies. In the [...] Read more.
Drosophila suzukii is a key invasive pest, and infestation in peach orchards can lead to significant economic losses. This study monitored the spatial distribution and reproductive biology of D. suzukii in central Italy to inform integrated pest management (IPM) strategies. In the surveyed orchard, the pest exhibited multiple generations, with captures highest along mixed-species-orchard edges, highlighting these margins as potential hotspots for targeted mass trapping. Seasonal dissections of females revealed delayed ovarian development during winter, while maturation progressed during fruit ripening and post-harvest periods. This result provides relevant information on the likely timing of oviposition, useful for informing pest management. A laboratory oviposition trial on nectarines revealed a clear preference for healthy, mechanically damaged fruits, whereas fungal infection reduced the attractiveness. This suggests that field sanitation, especially the timely removal of damaged or fallen fruits, could reduce pest presence and inoculum for the following season. Overall, these findings offer practical insights to support sustainable IPM approaches against D. suzukii in peach production systems. Full article
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16 pages, 3764 KB  
Article
Genome-Wide Identification of Monosaccharide Transporter (MST) Genes in Litchi chinensis and Analysis of Their Potential Roles in Fruit Sugar Accumulation
by Yingjie Wen, Hanyu Zheng, Hailun Liu, Yonghua Jiang, Fachao Shi and Qian Yan
Horticulturae 2025, 11(10), 1252; https://doi.org/10.3390/horticulturae11101252 - 17 Oct 2025
Viewed by 119
Abstract
Sugars function as essential signaling molecules and metabolic substrates in plant growth, development, yield formation, and fruit quality. The aril of litchi (Litchi chinensis Sonn.) accumulates high levels of hexoses, primarily glucose and fructose; however, the molecular mechanisms underlying this process remain [...] Read more.
Sugars function as essential signaling molecules and metabolic substrates in plant growth, development, yield formation, and fruit quality. The aril of litchi (Litchi chinensis Sonn.) accumulates high levels of hexoses, primarily glucose and fructose; however, the molecular mechanisms underlying this process remain poorly characterized. This study aimed to systematically identify the monosaccharide transporter (MST) gene family in litchi and elucidate its role in aril sugar accumulation. Through a comprehensive analysis of the litchi genome, we identified a total of 45 LcMST genes, which were classified into seven distinct subfamilies: STP, ERD6L, PLT, INT, pGlcT, TMT, and VGT. Analysis of gene structure and conserved motifs revealed notable conservation among members within the same subfamily. Collinearity and gene duplication analyses suggested that the LcMST family expanded through both tandem and whole-genome duplication events, a process primarily governed by purifying selection. Expression profiling across diverse tissues demonstrated that LcMST genes exhibit distinct tissue-specific expression patterns. During fruit development in the hexose-dominant cultivar ‘Tianshuili’, the expression of the tonoplast monosaccharide transporter gene LcTMT1 exhibited a significant positive correlation with the accumulation of fructose, glucose, and total sugars. Heterologous functional complementation assays in yeast confirmed the ability of LcTMT1 to transport both glucose and fructose. In conclusion, this study presents the first genome-wide identification and characterization of the MST gene family in litchi, and identifies LcTMT1 as a key contributor of hexose accumulation in the aril. These findings establish a foundation for elucidating the molecular mechanisms of sugar accumulation in litchi fruit and for guiding future genetic improvement of fruit quality. Full article
(This article belongs to the Section Fruit Production Systems)
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15 pages, 5630 KB  
Article
Genome-Wide Characterization of Kiwifruit Invertase Gene Family Reveals Roles of AcCWINV4 in Sugar Accumulation and Cold Tolerance
by Aoning Zhang, Xiaomeng Yang, Deshuai Liu, Zhexing Luo, Zhihao Zhang, Junwei Huo, Deguo Han, Yan Zhang and Lihua Zhang
Int. J. Mol. Sci. 2025, 26(20), 10089; https://doi.org/10.3390/ijms262010089 - 16 Oct 2025
Viewed by 137
Abstract
Invertase, a core catalyst in sugar metabolism, irreversibly hydrolyzes sucrose into hexoses, establishing the fundamental biochemical pathway for carbon allocation in plants and playing pivotal roles in plant growth development, fruit quality regulation, and stress response. In the present study, we identified a [...] Read more.
Invertase, a core catalyst in sugar metabolism, irreversibly hydrolyzes sucrose into hexoses, establishing the fundamental biochemical pathway for carbon allocation in plants and playing pivotal roles in plant growth development, fruit quality regulation, and stress response. In the present study, we identified a total of 25 invertase genes from the kiwifruit (Actinidia chinensis cv Hongyang) genome and systematically analyzed the physicochemical properties, chromosomal localization, genomic features, and gene evolution patterns of the AcINV family. The evaluation of selection pressure indices robustly demonstrated that the INV family underwent purification selection during domestication. Furthermore, based on the correlation between gene expression levels during the post-harvest ripening stage of kiwifruit and soluble sugar content, we identified the potential gene AcCWINV4 as being associated with sugar accumulation. Furthermore, virus-induced gene silencing (VIGS) of AcCWINV4 confirmed its functional role in fruit sugar accumulation and plant response to cold stress. This study provides critical theoretical support for breeding cold-tolerant and high-quality kiwifruit varieties using molecular biological methods. Full article
(This article belongs to the Special Issue Advances in Plant Genomics and Genetics: 3rd Edition)
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32 pages, 3400 KB  
Article
Anti-Inflammatory and Antioxidant Properties of Anti-UV Creams Enriched with Natural Extracts from Avocado, Apple, and Kiwi By-Products, with and Without Nanobubbles
by Olga I. Tsiapali, Nefeli-Ioanna Kontaxi, Konstantinos Pavlidis, Anna Ofrydopoulou, Vasileios Prokopiou, Sophia Letsiou, Ramonna I. Kosheleva, Athanassios Mitropoulos and Alexandros Tsoupras
Cosmetics 2025, 12(5), 231; https://doi.org/10.3390/cosmetics12050231 - 16 Oct 2025
Viewed by 183
Abstract
This study investigates the development and evaluation of anti-photoaging creams enriched with natural extracts from avocado, apple, and kiwi by-products, with and without nanobubbles (NBs), focusing on their antioxidant, photoprotective, anti-inflammatory, and antiplatelet properties. Extract-containing creams showed significantly higher antioxidant capacity, particularly in [...] Read more.
This study investigates the development and evaluation of anti-photoaging creams enriched with natural extracts from avocado, apple, and kiwi by-products, with and without nanobubbles (NBs), focusing on their antioxidant, photoprotective, anti-inflammatory, and antiplatelet properties. Extract-containing creams showed significantly higher antioxidant capacity, particularly in the ferric reducing antioxidant power (FRAP) assay (S: 710.4 ± 344.3, NB: 566.3 ± 185.0, X: 202.8 ± 145.6 μmol TE/g DW at production; S: 631.7 ± 277.8, NB: 1019.3 ± 574.0, X: 449.8 ± 43.9 μmol TE/g DW after 1 month; p < 0.05), indicating up to a 250% improvement compared to the base cream and stable antioxidant activity during storage. The sun protection factor (SPF) increased in extract-containing creams after storage (8.7 ± 0.8 → 9.5 ± 0.6; p < 0.05). Attenuated total reflectance Fourier-transform infrared spectroscopy (ATR-FTIR) with Strat-M® membranes revealed enhanced penetration of active compounds in enriched creams, while NBs did not significantly change absorption profiles. Platelet aggregation assays showed markedly lower half maximal inhibitory concentration (IC50) values in extract-enriched creams compared to the base cream for both the platelet-activating factor (PAF) pathway (S: 300.0 ± 42.0, NB: 258.0 ± 31.0 vs. X: 685.0 ± 35.0; after 1 month S: 325.0 ± 50.0, NB: 275.0 ± 42.0 vs. X: 885.0 ± 112.0; p < 0.05) and the adenosine diphosphate (ADP) pathway (S: 450.0 ± 65.0, NB: 400.0 ± 31.0 vs. X: 880.0 ± 58.0; after 1 month S: 470.0 ± 52.0, NB: 412.0 ± 42.0 vs. X: 1102.0 ± 125.0; p < 0.05). In silico analysis was also performed to demonstrate the ligand/protein complex with the strongest affinity to the PAF receptor. Overall, these findings highlight the potential of fruit by-products as sustainable, multifunctional cosmetic ingredients supporting circular economy principles. Full article
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20 pages, 4614 KB  
Article
Foliar Selenium Application During Flowering and Fruiting Alleviates Drought-Induced Oxidative Damage and Promotes Tomato Growth
by Haixue Cui, Yuan Zhong, Huanhuan Li, Xiaoman Qiang, Lijian Sun, Fukui Gao, Gang Wang and Hao Liu
Horticulturae 2025, 11(10), 1242; https://doi.org/10.3390/horticulturae11101242 - 14 Oct 2025
Viewed by 458
Abstract
Drought stress induced by climate change is a major limiting factor for crop growth. Selenium (Se) is recognized as an important exogenous regulator that can mitigate drought and other abiotic stresses, but the effects of Se application at different growth stages remain unclear. [...] Read more.
Drought stress induced by climate change is a major limiting factor for crop growth. Selenium (Se) is recognized as an important exogenous regulator that can mitigate drought and other abiotic stresses, but the effects of Se application at different growth stages remain unclear. In this study, greenhouse-grown tomato plants were subjected to four Se treatments (T1: control; T2: Se at seedling stage; T3: Se at flowering stage; T4: Se at both stages) combined with three irrigation regimes (W1: 50–55%, W2: 65–70%, W3: 80–85% of field capacity). The impacts of Se timing on antioxidant enzymes, osmotic regulators, and growth parameters were evaluated. Drought stress induced oxidative damage, reduced photosynthesis, and inhibited biomass accumulation, while proline content increased with drought severity. Se application showed clear growth-stage specificity: under mild stress, Se at the flowering stage most effectively enhanced antioxidant activity, regulated proline metabolism, improved photosynthetic performance, and promoted growth. Dual-stage application did not provide additional benefits. These findings indicate that applying Se during the flowering and fruiting stage is optimal for alleviating drought-induced growth inhibition in tomato. The results contribute to understanding Se-mediated drought tolerance and may support the development of stage-specific Se fertilizer management strategies. Full article
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21 pages, 4750 KB  
Article
Estimation of Kcb for Irrigated Melon Using NDVI Obtained Through UAV Imaging in the Brazilian Semiarid Region
by Jeones Marinho Siqueira, Gertrudes Macário de Oliveira, Pedro Rogerio Giongo, Jose Henrique da Silva Taveira, Edgo Jackson Pinto Santiago, Mário de Miranda Vilas Boas Ramos Leitão, Ligia Borges Marinho, Wagner Martins dos Santos, Alexandre Maniçoba da Rosa Ferraz Jardim, Thieres George Freire da Silva and Marcos Vinícius da Silva
AgriEngineering 2025, 7(10), 340; https://doi.org/10.3390/agriengineering7100340 - 10 Oct 2025
Viewed by 218
Abstract
In Northeast Brazil, climatic factors and technology synergistically enhance melon productivity and fruit quality. However, the region requires further research on the efficient use of water resources, particularly in determining the crop coefficient (Kc), which comprises the evaporation coefficient (Ke) and the transpiration [...] Read more.
In Northeast Brazil, climatic factors and technology synergistically enhance melon productivity and fruit quality. However, the region requires further research on the efficient use of water resources, particularly in determining the crop coefficient (Kc), which comprises the evaporation coefficient (Ke) and the transpiration coefficient (Kcb). Air temperature affects crop growth and development, altering the spectral response and the Kcb. However, the direct influence of air temperature on Kcb and spectral response remains underemphasized. This study employed unmanned aerial vehicle (UAV) with RGB and Red-Green-NIR sensors imagery to extract biophysical parameters for improved water management in melon cultivation in semiarid northern Bahia. Field experiments were conducted during two distinct periods: warm (October–December 2019) and cool (June–August 2020). The ‘Gladial’ and ‘Cantaloupe’ cultivars exhibited higher Kcb values during the warm season (2.753–3.450 and 3.087–3.856, respectively) and lower during the cool season (0.815–0.993 and 1.118–1.317). NDVI-based estimates of Kcb showed strong correlations with field data (r > 0.80), confirming its predictive potential. The results demonstrate that UAV-derived NDVI enables reliable estimation of melon Kcb across seasons, supporting its application for evapotranspiration modeling and precision irrigation in the Brazilian semiarid context. Full article
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27 pages, 503 KB  
Article
Reading and Performing: Interpreting Reality According to Simone Weil and Luigi Pareyson
by Noemi Sanches
Religions 2025, 16(10), 1280; https://doi.org/10.3390/rel16101280 - 8 Oct 2025
Viewed by 494
Abstract
This contribution aims to shed light on two hermeneutical perspectives of the twentieth century which, although developed in different contexts and through distinct languages, share not only certain conceptual affinities but are both grounded in a relational ontological framework. The first is the [...] Read more.
This contribution aims to shed light on two hermeneutical perspectives of the twentieth century which, although developed in different contexts and through distinct languages, share not only certain conceptual affinities but are both grounded in a relational ontological framework. The first is the notion of reading (notion de lecture) elaborated by the French thinker Simone Weil (1909–1943), particularly during her time in Marseille (1940–1942); the second is the idea of reading as “performance” or “execution” (esecuzione) proposed by the Italian philosopher Luigi Pareyson (1918–1991) within the framework of his aesthetic theory of formatività (1954). The aim of this study is, first, to outline the essential features of both perspectives and resonances and, subsequently, to highlight their points of convergence and original features. The goal, however, is not to propose a systematic comparison between the two authors, but rather to show the theoretical fruitfulness of a dialogue between Weil’s and Pareyson’s reflections on aesthetics and hermeneutics, from which a profile of “renewed thought” in a broad sense can emerge, opening up to a fruitful inter- and trans-disciplinary dialogue rooted in the search for truth as a shared horizon. Full article
15 pages, 2411 KB  
Article
The PAT Gene Family in Citrus: Genome-Wide Identification and Its Potential Implications for Organic Acid Metabolism
by Yinchun Li, Ziyi Huang, Ziyan Jiang, Yijing Fan, Lifang Sun and Shaojia Li
Agronomy 2025, 15(10), 2350; https://doi.org/10.3390/agronomy15102350 - 6 Oct 2025
Viewed by 226
Abstract
Protein palmitoylation, a key post-translational modification (PTM) regulating protein transport and function, is catalyzed by palmitoyl transferases (PATs). PATs play vital roles in plant growth, development, and stress responses, yet their characterization in citrus remains limited. This study identified 23 PAT genes (CitPATs) [...] Read more.
Protein palmitoylation, a key post-translational modification (PTM) regulating protein transport and function, is catalyzed by palmitoyl transferases (PATs). PATs play vital roles in plant growth, development, and stress responses, yet their characterization in citrus remains limited. This study identified 23 PAT genes (CitPATs) possessing the conserved DHHC domain in the citrus genome through comprehensive genome-wide analysis. Analysis revealed that most CitPAT proteins are hydrophilic, basic, and stable, with significant variations in sequence length. Gene structure and motif analysis confirmed 10 conserved motifs, with the DHHC domain being the most conserved among all 23 members. The CitPAT genes were unevenly distributed across nine chromosomes and exhibit high evolutionary conservation. Promoter analysis identified numerous cis-acting elements associated with abiotic stress and hormone responses, including basic regulatory elements, light-responsive elements, and stress-responsive elements, with light-responsive elements being predominant. Expression profiling during fruit development revealed distinct correlation patterns with citric acid dynamics: CitPAT6, CitPAT18, and CitPAT23 showed positive correlations with acid accumulation, while CitPAT1, CitPAT10, and CitPAT13 exhibited negative correlations. Further RT-qPCR experiments revealed that CitPAT1 and CitPAT10 consistently demonstrated strong negative correlations with citrate content throughout fruit development. This functional diversification suggests roles in regulating citric acid metabolism. These findings provide novel insights into quality formation in facility-cultivated citrus and establish a foundation for understanding PAT-mediated regulation of fruit development. Full article
(This article belongs to the Special Issue The Dynamics of Fruit Quality: From Formation to Regulation)
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27 pages, 3776 KB  
Article
An Efficient Method for Retrieving Citrus Orchard Evapotranspiration Based on Multi-Source Remote Sensing Data Fusion from Unmanned Aerial Vehicles
by Zhiwei Zhang, Weiqi Zhang, Chenfei Duan, Shijiang Zhu and Hu Li
Agriculture 2025, 15(19), 2058; https://doi.org/10.3390/agriculture15192058 - 30 Sep 2025
Viewed by 428
Abstract
Severe water scarcity has become a critical constraint to global agricultural development. Enhancing both the timeliness and accuracy of crop evapotranspiration (ETc) retrieval is essential for optimizing irrigation scheduling. Addressing the limitations of conventional ground-based point-source measurements in rapidly acquiring [...] Read more.
Severe water scarcity has become a critical constraint to global agricultural development. Enhancing both the timeliness and accuracy of crop evapotranspiration (ETc) retrieval is essential for optimizing irrigation scheduling. Addressing the limitations of conventional ground-based point-source measurements in rapidly acquiring two-dimensional ETc information at the field scale, this study employed unmanned aerial vehicle (UAV) remote sensing equipped with multispectral and thermal infrared sensors to obtain high spatiotemporal resolution imagery of a representative citrus orchard (Citrus reticulata Blanco cv. ‘Yichangmiju’) in western Hubei at different phenological stages. In conjunction with meteorological data (air temperature, daily net radiation, etc.), ETc was retrieved using two established approaches: the Seguin-Itier (S-I) model, which relates canopy–air temperature differences to ETc, and the multispectral-driven single crop coefficient method, which estimates ETc by combining vegetation indices with reference evapotranspiration. The thermal-infrared-driven S-I model, which relates canopy–air temperature differences to ETc, and the multispectral-driven single crop coefficient method, which estimates ETc by combining vegetation indices with reference evapotranspiration. The findings indicate that: (1) both the S-I model and the single crop coefficient method achieved satisfactory ETc estimation accuracy, with the latter performing slightly better (accuracy of 80% and 85%, respectively); (2) the proposed multi-source fusion model consistently demonstrated high accuracy and stability across all phenological stages (R2 = 0.9104, 0.9851, and 0.9313 for the fruit-setting, fruit-enlargement, and coloration–sugar-accumulation stages, respectively; all significant at p < 0.01), significantly enhancing the precision and timeliness of ETc retrieval; and (3) the model was successfully applied to ETc retrieval during the main growth stages in the Cangwubang citrus-producing area of Yichang, providing practical support for irrigation scheduling and water resource management at the regional scale. This multi-source fusion approach offers effective technical support for precision irrigation control in agriculture and holds broad application prospects. Full article
(This article belongs to the Section Artificial Intelligence and Digital Agriculture)
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18 pages, 5898 KB  
Article
Genome-Wide Identification and Functional Characterization of the LbaLHCB Gene Family Reveals Tissue-Specific Expression and Salt Stress Response in Lycium barbarum
by Zhi-Hang Hu, Yue Yin, Li-Xiang Wang, Nan Zhang, Ya-Hui Wang, Jing Zhuang and Ai-Sheng Xiong
Int. J. Mol. Sci. 2025, 26(19), 9523; https://doi.org/10.3390/ijms26199523 - 29 Sep 2025
Viewed by 333
Abstract
The LHCB gene family plays a crucial role in light harvesting and photoprotection in plants by encoding key components of the photosystem II antenna complex. The LHCB genes are also involved in salt stress. In this study, we systematically identified and characterized 16 [...] Read more.
The LHCB gene family plays a crucial role in light harvesting and photoprotection in plants by encoding key components of the photosystem II antenna complex. The LHCB genes are also involved in salt stress. In this study, we systematically identified and characterized 16 LbaLHCB genes in the economically important medicinal plant Lycium barbarum. Comprehensive bioinformatics analyses revealed that these genes are unevenly distributed across seven chromosomes, with notable gene clustering on chromosome 11. Phylogenetic analysis classified them into seven distinct subfamilies, with the LbaLHCB1 subfamily showing significant expansion through gene duplication events. qRT-PCR and transcriptome analyses revealed tissue-specific expression patterns, with LbaLHCB1.6 exhibiting preferential expression in developing fruits, suggesting its potential involvement in fruit development and quality formation. Under salt stress conditions, the LbaLHCB genes displayed dynamic temporal responses: LbaLHCB1.5 was rapidly induced during early stress (1–3 h), LbaLHCB7 reached peak expression at mid-phase (6–12 h), while LbaLHCB1.2 showed significant downregulation during late stress response (24 h). Promoter analysis identified multiple stress-responsive cis-elements, providing molecular insights into their regulation under abiotic stress. These findings significantly advance our understanding of the LbaLHCB gene family’s structural characteristics and functional diversification in L. barbarum, particularly in relation to photosynthesis regulation and stress adaptation. The study provides valuable genetic resources for future molecular breeding aimed at improving stress tolerance and fruit quality in this important medicinal crop. Full article
(This article belongs to the Section Molecular Plant Sciences)
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17 pages, 5408 KB  
Article
Optimal Design of 3D-Printed Flexible Fingers for Robotic Soft Gripping of Agricultural Products
by Ciprian Lapusan, Radu Stefan Chiorean and Radu Matis
Actuators 2025, 14(10), 468; https://doi.org/10.3390/act14100468 - 25 Sep 2025
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Abstract
Handling delicate agricultural products, such as tomatoes, requires careful attention from workers during harvesting, sorting, and packaging processes. This labor-intensive approach is often inefficient and susceptible to human error. A potential solution to improve efficiency is the development of automated systems capable of [...] Read more.
Handling delicate agricultural products, such as tomatoes, requires careful attention from workers during harvesting, sorting, and packaging processes. This labor-intensive approach is often inefficient and susceptible to human error. A potential solution to improve efficiency is the development of automated systems capable of replacing manual labor. However, such systems face significant challenges due to the irregular shapes and fragility of these products, requiring specialized adaptable and soft gripping mechanisms. In this context, this paper introduces a parametric design methodology for 3D-printed flexible fingers in soft grippers, tailored for agricultural applications. The approach was tested in a case study that targeted soft agricultural products with diameters between 45 and 75 mm. Three finger topologies were modeled and compared to identify an optimal configuration. A prototype was then developed using 3D printing with Z-SemiFlex. Experimental tests confirmed that the prototype could grasp different fruits reliably and without surface damage. It achieved an Average Precision (AP) of 87.5% for tomatoes and 92.5% for mandarins across 80 trials. These results validate the feasibility of the proposed design methodology for fingers in soft grippers. Full article
(This article belongs to the Section Actuators for Robotics)
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