Horticulturae

21 pages, 17764 KB

Open AccessArticle

Integrative Multi-Omics Analysis Identified Tissue-Specific Volatile Metabolites in Populus koreana

by Hanzeng Wang, Fude Wang, Juan Wu, Tingting Xu, Qinhe Wang, Zhixin Ju, Shicheng Zhao, Jingli Yang and Xue Leng

Horticulturae 2025, 11(10), 1262; https://doi.org/10.3390/horticulturae11101262 (registering DOI) - 19 Oct 2025

Abstract

Populus koreana emits a wide array of volatile organic compounds (VOCs) with potential ecological functions; however, the tissue-specific distribution and underlying regulatory mechanisms of these compounds remain poorly understood. This study employed an integrated approach combining gas chromatography-mass spectrometry (GC-MS)-based metabolomics and RNA-seq [...] Read more.

Populus koreana emits a wide array of volatile organic compounds (VOCs) with potential ecological functions; however, the tissue-specific distribution and underlying regulatory mechanisms of these compounds remain poorly understood. This study employed an integrated approach combining gas chromatography-mass spectrometry (GC-MS)-based metabolomics and RNA-seq to systematically profile VOC composition and gene expression in terminal buds, stems and leaves of P. koreana. A total of 207 VOCs were identified, predominantly terpenes and aromatic compounds, exhibiting distinct tissue-specific accumulation patterns. Terminal buds were enriched in limonene and caryophyllene, while leaves showed higher concentrations of alcohols and phenolic aldehydes. Transcriptomic analysis revealed 12,733 differentially expressed genes (DEGs) among the three organs, with substantial enrichment in terpenoid and phenylpropanoid biosynthetic pathways. Notably, key upregulated genes in buds, including TPS21 and PAL1, correlated with observed VOC profiles. Weighted gene co-expression network analysis (WGCNA) further identified 6365 genes strongly associated with bud-specific VOC biosynthesis. Integrated omics analyses indicated coordinated regulation of phenylalanine metabolism and transcription factors in VOC production. These findings illuminate the molecular mechanisms underlying tissue-specific VOC accumulation in P. koreana, enhancing our understanding of metabolic specialization and ecological adaptation in woody plants. Full article

(This article belongs to the Section Genetics, Genomics, Breeding, and Biotechnology (G2B2))

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27 pages, 1628 KB

Open AccessReview

Advances in Biostimulant Applications for Grapevine (Vitis vinifera L.): Physiological, Agronomic, and Quality Impacts

by Sara Elizabeth Verdugo-Gaxiola, Laura Diaz-Rubio, Myriam Tatiana Montaño-Soto, Liliana del Rocío Castro-López, Guillermo Castillo and Iván Córdova-Guerrero

Horticulturae 2025, 11(10), 1261; https://doi.org/10.3390/horticulturae11101261 (registering DOI) - 18 Oct 2025

Abstract

This manuscript reviews the advances in the application of biostimulants in grapevine (Vitis vinifera L.), emphasizing their physiological, agronomic, and quality impacts within a broader agricultural and scientific context. It highlights the evolution of biostimulant research and the theoretical frameworks that support [...] Read more.

This manuscript reviews the advances in the application of biostimulants in grapevine (Vitis vinifera L.), emphasizing their physiological, agronomic, and quality impacts within a broader agricultural and scientific context. It highlights the evolution of biostimulant research and the theoretical frameworks that support their use, underscoring their growing relevance in sustainable viticulture as a response to environmental challenges and consumer demands for healthier production practices. By analyzing recent findings, the text outlines how biostimulants influence plant physiology, improve agronomic performance, and enhance fruit and wine quality, while also stressing the need for deeper understanding of their mechanisms of action and greater standardization in their application. The discussion suggests that advancing this field requires not only scientific attention but also an integrative vision that links innovation, sustainability, and practical implementation. Ultimately, the manuscript contributes to a more comprehensive appreciation of the role of biostimulants in viticulture, offering insights to guide future research and strategies for grapevine management and quality improvement. Full article

(This article belongs to the Special Issue Grapevine Responses to Abiotic and Biotic Stresses)

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19 pages, 7823 KB

Open AccessArticle

EDI-YOLO: An Instance Segmentation Network for Tomato Main Stems and Lateral Branches in Greenhouse Environments

by Peng Ji, Nengwei Yang, Sen Lin and Ya Xiong

Horticulturae 2025, 11(10), 1260; https://doi.org/10.3390/horticulturae11101260 (registering DOI) - 18 Oct 2025

Abstract

Agricultural robots operating in greenhouse environments face substantial challenges in detecting tomato stems, including fluctuating lighting, cluttered backgrounds, and the stems’ inherently slender morphology. This study introduces EfficientV1-C2fDWR-IRMB-YOLO (EDI-YOLO), an enhanced model built on YOLOv8n-seg. First, the original backbone is replaced with EfficientNetV1, [...] Read more.

Agricultural robots operating in greenhouse environments face substantial challenges in detecting tomato stems, including fluctuating lighting, cluttered backgrounds, and the stems’ inherently slender morphology. This study introduces EfficientV1-C2fDWR-IRMB-YOLO (EDI-YOLO), an enhanced model built on YOLOv8n-seg. First, the original backbone is replaced with EfficientNetV1, yielding a 2.3% increase in mAP50 and a 2.6 G reduction in FLOPs. Second, we design a C2f-DWR module that integrates multi-branch dilations with residual connections, enlarging the receptive field and strengthening long-range dependencies; this improves slender-object segmentation by 1.4%. Third, an Inverted Residual Mobile Block (iRMB) is inserted into the neck to apply spatial attention and dual residual paths, boosting key-feature extraction by 1.5% with only +0.7GFLOPs. On a custom tomato-stem dataset, EDI-YOLO achieves 79.3% mAP50 and 33.9% mAP50-95, outperforming the baseline YOLOv8n-seg (75.1%, 31.4%) by 4.2% and 2.6%, and YOLOv5s-seg (66.7%), YOLOv7tiny-seg (75.4%), and YOLOv12s-seg (75.4%) by 12.6%, 3.9%, and 3.9% in mAP50, respectively. Significant improvement is achieved in lateral branch segmentation (60.4% → 65.2%). Running at 86.2 FPS with only 10.4GFLOPs and 8.0 M parameters, EDI-YOLO demonstrates an optimal trade-off between accuracy and efficiency. Full article

(This article belongs to the Section Vegetable Production Systems)

13 pages, 1375 KB

Open AccessArticle

A Diploid–Tetraploid Cytochimera of Dashu Tea Selected from a Natural Bud Mutant

by Chi Zhang, Sulei She, Haiyan Wang, Jiaheng Li, Xiao Long, Guolu Liang, Qigao Guo, Songkai Li, Ge Li, Lanyan Qian, Di Wu and Jiangbo Dang

Horticulturae 2025, 11(10), 1259; https://doi.org/10.3390/horticulturae11101259 (registering DOI) - 18 Oct 2025

Abstract

Polyploids play significant roles in tea production due to their strong tolerance to adverse environmental conditions and their high levels of certain chemical components. Tetraploid can be used to produce more polyploid tea plants, but there have been only a handful of tetraploids [...] Read more.

Polyploids play significant roles in tea production due to their strong tolerance to adverse environmental conditions and their high levels of certain chemical components. Tetraploid can be used to produce more polyploid tea plants, but there have been only a handful of tetraploids found in tea plants. In spite of the extremely low probabilities, bud mutant selection is an effective way to obtain polyploid tree crops. In the present study, a Dashu tea, cytochimera, derived from a bud mutation was identified by using flow cytometry and chromosome observation. The morphology and photosynthetic characteristics of leaves were investigated briefly. Some chemical components were determined. Finally, the pollen viability and ploidy of progeny were detected. The results show that tetraploid cells account for 71.48 ± 3.88%–72.19 ± 2.80% of the leaf tissue in this cytochimera. Compared with the original diploid, the cytochimera exhibited broader, longer, and thicker leaves. Its net photosynthetic rate (high to 41.77 ± 0.38 μmol CO₂‧m⁻²‧s⁻¹) was higher than that of the original diploid (peak value 28.00 ± 2.29 μmol CO₂‧m⁻²‧s⁻¹) for most of the day when measured in September. Notably, the total content of 19 free amino acids in the tender spring shoots of cytochimera was 22.96 ± 0.58 mg/g, approximately twice of that of the diploid materials analyzed. The contents of 10 free amino acids, including theanine, were significantly higher than those in diploids, with some free amino acid contents reaching up to seven times those observed in diploids. In addition, the cytochimera produced larger pollen grains than the original diploid, although the in vitro germination rate was lower (14.63 ± 1.11%). Three open-pollinated progenies of cytochimera were identified as triploids. To sum up, cytochimera has larger and thicker leaves, a higher photosynthetic rate, and higher content of total free amino acids and some free amino acids, especially theanine, than the original diploid. Moreover, cytochimera has a certain level of fertility and can produce triploids. These findings suggest the potential for selecting polyploid tea plants from bud mutants and for developing new tea germplasms with enhanced amino acid contents. Full article

(This article belongs to the Topic Plant Breeding, Genetics and Genomics, 2nd Edition)

27 pages, 6859 KB

Open AccessArticle

An Explainable Machine Learning Framework for the Hierarchical Management of Hot Pepper Damping-Off in Intensive Seedling Production

by Zhaoyuan Wang, Kaige Liu, Longwei Liang, Changhong Li, Tao Ji, Jing Xu, Huiying Liu and Ming Diao

Horticulturae 2025, 11(10), 1258; https://doi.org/10.3390/horticulturae11101258 - 17 Oct 2025

Abstract

Facility agriculture cultivation is the main production form of the vegetable industry in the world. As an important vegetable crop, hot peppers are easily threatened by many diseases in a facility microclimate environment. Traditional disease detection methods are time-consuming and allow the disease [...] Read more.

Facility agriculture cultivation is the main production form of the vegetable industry in the world. As an important vegetable crop, hot peppers are easily threatened by many diseases in a facility microclimate environment. Traditional disease detection methods are time-consuming and allow the disease to proliferate, so timely detection and inhibition of disease development have become the focus of global agricultural practice. This article proposed a generalizable and explainable machine learning model for hot pepper damping-off in intensive seedling production under the condition of ensuring the high accuracy of the model. Through Kalman filter smoothing, SMOTE-ENN unbalanced sample processing, feature selection and other data preprocessing methods, 19 baseline models were developed for prediction in this article. After statistical testing of the results, Bayesian Optimization algorithm was used to perform hyperparameter tuning for the best five models with performance, and the Extreme Random Trees model (ET) most suitable for this research scenario was determined. The F₁-score of this model is 0.9734, and the AUC value is 0.9969 for predicting the severity of hot pepper damping-off, and the explainable analysis is carried out by SHAP (SHapley Additive exPlanations). According to the results, the hierarchical management strategies under different severities are interpreted. Combined with the front-end visualization interface deployed by the model, it is helpful for farmers to know the development trend of the disease in advance and accurately regulate the environmental factors of seedling raising, and this is of great significance for disease prevention and control and to reduce the impact of diseases on hot pepper growth and development. Full article

(This article belongs to the Special Issue New Trends in Smart Horticulture)

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17 pages, 3108 KB

Open AccessArticle

Autonomous UV-C Treatment and Hyperspectral Monitoring: Advanced Approaches for the Management of Dollar Spot in Turfgrass

by Lorenzo Pippi, Lorenzo Gagliardi, Lisa Caturegli, Lorenzo Cotrozzi, Sofia Matilde Luglio, Simone Magni, Elisa Pellegrini, Claudia Pisuttu, Michele Raffaelli, Marco Santin, Marco Fontanelli, Tommaso Federighi, Claudio Scarpelli, Marco Volterrani and Luca Incrocci

Horticulturae 2025, 11(10), 1257; https://doi.org/10.3390/horticulturae11101257 - 17 Oct 2025

Abstract

Dollar spot is a severe and widespread turfgrass disease. Ultraviolet-C (UV-C) light treatment offers a promising management strategy, and its integration into autonomous mowers could reduce fungicide use, promoting sustainable and efficient turfgrass management. To ensure effectiveness and optimize intervention timing, monitoring is [...] Read more.

Dollar spot is a severe and widespread turfgrass disease. Ultraviolet-C (UV-C) light treatment offers a promising management strategy, and its integration into autonomous mowers could reduce fungicide use, promoting sustainable and efficient turfgrass management. To ensure effectiveness and optimize intervention timing, monitoring is essential and hyperspectral sensing could represent a valuable resource. This study aimed to develop an innovative approach for the early detection and integrated management of dollar spot in bermudagrass by evaluating (i) the efficacy of an autonomous mower equipped with UV-C lamps in mitigating infections, and (ii) the potential of full-range hyperspectral sensing (350–2500 nm) for disease detection and monitoring. The autonomous mower enabled UV-C treatment with a field capacity of 0.04 ha h⁻¹, requiring 1.3 machines to treat 1 ha day⁻¹, and a primary energy consumption of 55.06 kWh ha⁻¹ for a complete weekly treatment. Full-range canopy hyperspectral data (400–2400 nm) enabled rapid, non-destructive field detection. Permutational multivariate analysis of variance (PERMANOVA) detected significant effects of Clarireedia jacksonii (Cj; dollar spot pathogen) and the Cj × UV-C interaction. Partial least-squares discriminant analysis (PLS-DA) separated Cj+/UV+ and Cj+/UV− plots (Accuracy validation ≈ 0.73; K ≈ 0.69). Investigated spectral indices confirmed Cj × UV-C interactions. Future research should explore how to optimize UV-C application regimes, improve system scalability, and enhance the robustness of hyperspectral models across diverse turfgrass genotypes, growth stages, and environmental conditions. Full article

(This article belongs to the Section Protected Culture)

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14 pages, 2477 KB

Open AccessArticle

Determination of the Resistance of Tolerant Hybrids of Buxus to the Pathogen Cylindrocladium buxicola and the Effect of Nutrition and Climatic Conditions on Leaf Color

by Ivana Šafránková, Jiří Souček, Marie Machanderová, Petr Salaš, Jana Burgová and Ludmila Holková

Horticulturae 2025, 11(10), 1256; https://doi.org/10.3390/horticulturae11101256 - 17 Oct 2025

Abstract

Boxwood (Buxus sp.) plays a key role in historical gardens due to its evergreen foliage and resilience. However, recent outbreaks of disease caused by fungal pathogens such as Calonectria spp. (C. pseudonaviculata, C. henricotiae) and Pseudonectria spp. (P. [...] Read more.

Boxwood (Buxus sp.) plays a key role in historical gardens due to its evergreen foliage and resilience. However, recent outbreaks of disease caused by fungal pathogens such as Calonectria spp. (C. pseudonaviculata, C. henricotiae) and Pseudonectria spp. (P. buxi, P. foliicola), as well as pest pressures from Cydalima perspectalis, have led to significant losses. This study examined 100 boxwood plantings across the Czech Republic to evaluate pest and disease occurrence. Further, six modern boxwood cultivars from the groups of BetterBuxus^® and NewGen^® were tested in field trials under the climatic conditions of the Czech Republic, focusing on their resistance to abiotic stress and foliage color retention throughout the year. Laboratory trials confirmed all cultivars were susceptible to C. pseudonaviculata, with ‘Renaissance’ showing the slowest disease progression. Field assessments under two contrasting management regimes (“Minimalistic” and “Pampered”) indicated sporadic boxwood blight incidence but frequent Volutella blight outbreaks, particularly where plants suffered frost stress. Leaf color, an important esthetic trait, was evaluated using Munsell charts and measuring the relative chlorophyll content. ‘Skylight’ most closely matched Buxus sempervirens in the shade of green and winter color. Full article

(This article belongs to the Section Plant Pathology and Disease Management (PPDM))

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16 pages, 962 KB

Open AccessArticle

Variation Law and Predictive Modeling Construction of Internal Quality in Korla Fragrant Pears Under Multi-Type Damage During Storage

by Yifan Xia, Hong Zhang, Jikai Che, Qing Liang and Yang Liu

Horticulturae 2025, 11(10), 1255; https://doi.org/10.3390/horticulturae11101255 - 17 Oct 2025

Abstract

To enhance the economic benefits of the Korla fragrant pear industry and reduce fruit loss rates, this study investigates changes in pear fruit quality during storage under different damage types. An adaptive neuro-fuzzy inference system (ANFIS), tested with eight different membership functions, was [...] Read more.

To enhance the economic benefits of the Korla fragrant pear industry and reduce fruit loss rates, this study investigates changes in pear fruit quality during storage under different damage types. An adaptive neuro-fuzzy inference system (ANFIS), tested with eight different membership functions, was used to predict the hardness and soluble solids content (SSC) of pears stored under various damage conditions. The results showed that both hardness and SSC of damaged pears decreased with prolonged storage time. During identical storage periods, more severe damage led to faster declines in hardness and SSC, among which impact loads and combined impact-compression loads caused the most rapid reductions in pear hardness and SSC. The ANFIS model with the gauss2mf membership function achieved optimal prediction accuracy for pear hardness (RMSE = 0.2207, R² = 0.9434); the ANFIS model with the trimf membership function yielded the best prediction for pear SSC (RMSE = 0.2016, R² = 0.9701). This study provides a theoretical basis for optimizing warehouse management and quality control of Korla fragrant pears, and for determining the optimal treatment window during storage. Full article

(This article belongs to the Special Issue Applied Artificial Intelligence in Digital Horticulture: Practices and Innovations)

12 pages, 1625 KB

Open AccessArticle

Physiological Responses of Anoectochilus roxburghii to Salt Stress

by Min Li, Hao Rong, Hongxia Li, Na Li and Ying Jiang

Horticulturae 2025, 11(10), 1254; https://doi.org/10.3390/horticulturae11101254 - 17 Oct 2025

Abstract

Salt stress is a significant environmental factor influencing plant growth and development. Anoectochilus roxburghii is a valuable medicinal plant, but it is still unclear how it responds to salinity. In this study, A. roxburghii was used as experimental material to investigate its physiological [...] Read more.

Salt stress is a significant environmental factor influencing plant growth and development. Anoectochilus roxburghii is a valuable medicinal plant, but it is still unclear how it responds to salinity. In this study, A. roxburghii was used as experimental material to investigate its physiological mechanisms underlying salt stress resistance. Seedlings were subjected to various NaCl concentrations (0, 50, 100, 150, and 200 mmol/L), and changes in key physiological parameters were subsequently analyzed. The results indicated that under NaCl-induced salt stress, the activities of superoxide dismutase (SOD), peroxidase (POD), catalase (CAT), and ascorbate peroxidase (APX), as well as soluble protein content, initially increased and then decreased, with peak levels observed between 100 and 150 mmol/L. Malondialdehyde (MDA) content exhibited a steady increase with rising salt concentration. Total chlorophyll content declined progressively, while anthocyanin content increased initially but decreased significantly when NaCl concentration exceeded 100 mmol/L. Additionally, the contents of total flavonoids and total phenolics decreased markedly at salt concentrations above 100 mmol/L. These findings suggest that A. roxburghii can tolerate salt stress up to 100 mmol/L for 24 h without exhibiting substantial physiological or morphological damage. This study provides a theoretical basis for analyzing the salt tolerance mechanism of A. roxburghii. Full article

(This article belongs to the Section Biotic and Abiotic Stress)

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15 pages, 2875 KB

Open AccessFeature PaperArticle

Standard Procedures Proposal of Laboratory Experimental Tests Assessment for Water Permeability of Anti-Rain Agricultural Nets

by Audrey Maria Noemi Martellotta, Sergio Castellano, Ileana Blanco, Greta Mastronardi, Pietro Picuno, Roberto Puglisi and Giacomo Scarascia Mugnozza

Horticulturae 2025, 11(10), 1253; https://doi.org/10.3390/horticulturae11101253 - 17 Oct 2025

Abstract

Climate change threatens the agricultural field by affecting production yields and crop quality. Yield protection is an increasingly pressing priority to preserve the ability of agriculture to meet food demand with more sustainable production of appropriate quality and quantity and with less demand [...] Read more.

Climate change threatens the agricultural field by affecting production yields and crop quality. Yield protection is an increasingly pressing priority to preserve the ability of agriculture to meet food demand with more sustainable production of appropriate quality and quantity and with less demand for plant protection products. For this reason, nowadays the use of agricultural nets is becoming increasingly widespread to counteract possible risks from abiotic stresses. Among all agricultural nets, the anti-rain ones have the predominant purpose of protecting crops from damage caused by severe weather events. The present study aims to verify whether anti-rain nets could be used as greenhouse covering material, starting from the evaluation of the rainwater permeability index Φ_rw. For this purpose, a laboratory rain simulator was designed and several tests were performed on the chosen anti-rain net, varying its inclination and the duration and intensity of the simulated rainfall, returning different normalized permeability indices NPI, of which the standard deviation (SD) was calculated. The optimal rainfall duration of the artificial rain test was determined at the minimum value of the sum of the SDs, identified as about 25%, at a duration of 10 min. Subsequently, tests were carried out to define the Φ_rw index for a rainfall lasting 10 min, by varying the other parameters, returning the lowest Φ_rw index of approximately 45% at a 20° net inclination and with the weave perpendicular to the slope. The results highlight the possibility to use anti-rain nets for greenhouse covering, replacing or supplementing commonly used nets, facilitating oxygen exchange and maximizing light capture capacity, essential for vegetative–productive balance. A proposal for standardizing the procedures to test nets, based on experimental tests, has never been proposed in the scientific literature. Regarding fruit and vegetable crops, there are several issues to be evaluated; this study only considers rain protection, through nets can be used for different fruit and vegetable varieties. Full article

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16 pages, 3764 KB

Open AccessArticle

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

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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18 pages, 6519 KB

Open AccessArticle

Detection of SPAD Content in Leaves of Grey Jujube Based on Near Infrared Spectroscopy

by Lanfei Wang, Junkai Zeng, Mingyang Yu, Weifan Fan and Jianping Bao

Horticulturae 2025, 11(10), 1251; https://doi.org/10.3390/horticulturae11101251 - 17 Oct 2025

Abstract

The efficient and non-destructive inspection of the chlorophyll content of grey jujube leaf is of great significance for its growth surveillance and nutritional diagnosis. Near-infrared spectroscopy combined with chemometric methods provides an effective approach to achieve this goal. This study took grey jujube [...] Read more.

The efficient and non-destructive inspection of the chlorophyll content of grey jujube leaf is of great significance for its growth surveillance and nutritional diagnosis. Near-infrared spectroscopy combined with chemometric methods provides an effective approach to achieve this goal. This study took grey jujube leaves as the research object, systematically collected near-infrared spectral data in the range of 4000–10,000 cm⁻¹, and simultaneously measured their soil and plant analyzer development (SPAD) value as a reference index for chlorophyll content. Through various pretreatment and their combination methods on the original spectrum—smooth, standard normal variable transformation (SNV), first derivative (FD), second derivative (SD), smooth + first derivative (Smooth + FD), smooth + second derivative (Smooth + SD), standard normal variable transformation + first derivative (SNV + FD), standard normal variable transformation + second derivative (SNV + SD)—the effects of different methods on the quality of the spectrum and its correlation with SPAD value were compared. The competitive adaptive reweighted sampling algorithm (CARS) was adopted to extract the characteristic wavelength, aiming to reduce data dimensionality and optimize model input. Both BP neural network and RBF neural network prediction models were established, and the model performance under different training functions was compared. The results indicate that after Smooth + FD pretreatment, followed by CARS screening of the characteristic wavelength, the BP neural network model trained using the LBFGS algorithm demonstrated the best performance, with its coefficient of determination (R²) of 0.87 (training set) and 0.85 (validation set), root mean square error (RMSE) of 1.36 (training set) and 1.35 (validation set), and residual prediction deviation (RPD) of 2.81 (training set) and 2.56 (validation set) showing good prediction accuracy and robustness. Research indicates that by combining near-infrared spectroscopy with feature extraction and machine learning methods, the rapid and non-destructive inspection of the grey jujube leaf SPAD value can be achieved, providing reliable technical support for the real-time monitoring of the nutritional status of jujube trees. Full article

(This article belongs to the Section Fruit Production Systems)

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18 pages, 1278 KB

Open AccessArticle

Characterization of Postharvest Changes in Fruit Quality Traits of Highbush Blueberry (Vaccinium corymbosum L.) Cultivars

by Yige Xu, Xin Wei, Youchun Liu and Cheng Liu

Horticulturae 2025, 11(10), 1250; https://doi.org/10.3390/horticulturae11101250 - 16 Oct 2025

Abstract

This study investigated the dynamic changes in fruit color, texture and quality attributes of blueberry cultivars during a 15-day postharvest storage period to provide theoretical insights for cultivar selection, postharvest preservation and commercial evaluation. Phenotypic and quality traits, including color parameters (CIE-Lab*), texture [...] Read more.

This study investigated the dynamic changes in fruit color, texture and quality attributes of blueberry cultivars during a 15-day postharvest storage period to provide theoretical insights for cultivar selection, postharvest preservation and commercial evaluation. Phenotypic and quality traits, including color parameters (CIE-Lab*), texture attributes (Note: hardness represents firmness and is an indicator in the Brookfield’s texture analyzer), adhesive force and physicochemical indices, were systematically analyzed using a colorimeter, texture analyzer and conventional methods. Principal component analysis (PCA) and cluster analysis were applied to evaluate postharvest performance. Southern highbush cultivars, including ‘EB 9-2’, ‘Meadowlark’, ‘Primadonna’, ‘Eureka’ and ‘Camellia’, exhibited superior comprehensive quality, characterized by small fruit shape index, minimal scar sizes and stable hardness dynamics. During the storage period, ‘Legacy’ demonstrated optimal color stability (ΔE < 3.5 from days 0–15), while ‘EB 9-2’ showed the most significant hardness increase. Scar size, fruit shape index and flesh elasticity were identified as key indicators for analyzing shelf-life hardness variations, offering scientific guidance for cultivar selection and postharvest management. Full article

(This article belongs to the Section Postharvest Biology, Quality, Safety, and Technology)

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19 pages, 5643 KB

Open AccessArticle

Identification of Reliable Reference Genes for qRT-PCR Normalization in Tomato Genotypes with Contrasting Salinity Tolerance

by Helen I. Rostovtseva, Liliya R. Bogoutdinova, Galina N. Raldugina and Ekaterina N. Baranova

Horticulturae 2025, 11(10), 1249; https://doi.org/10.3390/horticulturae11101249 - 16 Oct 2025

Abstract

Salt-tolerance improvement of tomatoes is largely a task of modern selection and plant molecular genetics because of cultivation on dry and irrigated lands under salt stress. To reveal the salt resistance gene, we need quantitative real-time polymerase chain reaction (qRT-PCR) normalization through reference [...] Read more.

Salt-tolerance improvement of tomatoes is largely a task of modern selection and plant molecular genetics because of cultivation on dry and irrigated lands under salt stress. To reveal the salt resistance gene, we need quantitative real-time polymerase chain reaction (qRT-PCR) normalization through reference genes analysis. Sometimes, housekeeping gene expression changes in response to various stress factors, especially salinity. In this manuscript, we evaluated expression changes of elongation factor 1α X53043.1 (EF1α), actin BT013707.1 (ACT), ubiquitin NM_001346406.1 (UBI), nuclear transcript factor XM_026030313.2 (NFT-Y), β-tubulin NM_001247878.2 (TUB), glyceraldehyde-3 phosphate dehydrogenase NM_001247874.2 (GAPDH), phosphatase 2A catalytic subunit NM_001247587.2 (PP2a), and phosphoglycerate kinase XM_004243920.4 (PGK) in salt-sensitive Solanum lycopersicum L. YaLF line and salt tolerance Rekordsmen cv. under 100 mM NaCl. We also suggested potential correlations between relative water content (RWC), ion accumulation, and reference gene expression in tomato genotypes with contrasting salinity tolerance. We used geNorm, NormFinder, BestKeeper, ∆Ct, and RefFinder algorithms to establish a set of the most reliable tomato candidate genes. The most stable genes for YaLF tomatoes were ACT, UBI, TUB, and PP2a. Despite differences in ranks, the NFT-Y was present in Rekordsmen’s stable set. Full article

(This article belongs to the Special Issue Stress Physiology and Molecular Biology of Vegetable Crops)

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15 pages, 2879 KB

Open AccessArticle

RsNAC134 Regulates Taproot Skin Color via Positive Regulation of the Chlorophyll Degradation Pathway in Radish (Raphanus sativus)

by Weifang Chen, Chenghuan Yan, Leifu Chen, Lei Cui and Weiling Yuan

Horticulturae 2025, 11(10), 1248; https://doi.org/10.3390/horticulturae11101248 - 16 Oct 2025

Abstract

The color of radish taproot skin is an important commercial quality trait that directly affects the visual judgment of consumers. The green/white coloration of radish taproots is caused by chlorophyll accumulation or fading; however, research on the mechanisms of color regulation in green/white [...] Read more.

The color of radish taproot skin is an important commercial quality trait that directly affects the visual judgment of consumers. The green/white coloration of radish taproots is caused by chlorophyll accumulation or fading; however, research on the mechanisms of color regulation in green/white variations remains limited. Therefore, we analyzed transcriptome data from the green radish ‘QZ-16’ and white radish ‘55’ and identified a key color-regulating gene, RsNAC134. The expression of RsNAC134 was significantly reduced in green radish ‘QZ-16’ but markedly increased in white radish ‘55’. Heterologous overexpression of RsNAC134 in transgenic tomatoes resulted in chlorotic phenotypes. Quantitative real-time polymerase chain reaction revealed significant upregulation of chlorophyll degradation pathway genes SlSGR and SlPAO in transgenic tomatoes. Similarly, in white radish, expression of the key chlorophyll degradation genes, RsSGR, RsPAO1, and RsPAO2, was notably increased. Yeast one-hybrid and luciferase assays demonstrated that RsNAC134 directly bound to the promoters of RsSGR, RsPAO1, and RsPAO2. These findings suggest that RsNAC134 regulates chlorophyll degradation by modulating RsSGR, RsPAO1, and RsPAO2 expression, ultimately influencing the radish color transition (loss of green pigmentation) or retention of green coloration. This work unravels novel regulatory factors of chlorophyll degradation and elucidates the molecular network governing chlorophyll degradation, providing crucial insights into the molecular basis of epidermal color variation in radish taproots. Full article

(This article belongs to the Special Issue Breeding by Design: Advances in Vegetables)

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17 pages, 1236 KB

Open AccessArticle

Dynamics of Quality Traits During Cold Storage in ‘Annurca’ Apples: Impact of 1-MCP and the Traditional Melaio Reddening Process

by Giandomenico Corrado, Alessandro Mataffo, Pasquale Scognamiglio, Carlo Molinaro, Maurizio Teobaldelli and Boris Basile

Horticulturae 2025, 11(10), 1247; https://doi.org/10.3390/horticulturae11101247 - 15 Oct 2025

Abstract

The ‘Annurca’ apple (Malus domestica), a PGI-protected Italian cultivar, undergoes a mandatory postharvest reddening process (melaio). While crucial for skin color development, this process is associated with flesh softening, creating a conflict with consumer demand for crispness. To resolve this quality [...] Read more.

The ‘Annurca’ apple (Malus domestica), a PGI-protected Italian cultivar, undergoes a mandatory postharvest reddening process (melaio). While crucial for skin color development, this process is associated with flesh softening, creating a conflict with consumer demand for crispness. To resolve this quality trade-off, this study compared different postharvest strategies over a five-month commercial cold storage. Specifically, we performed a time-series analysis of the evolution of ripening and skin color dynamics under three strategies: traditional reddening (Melaio), 1-methylcyclopropene application (MCP), and a 1-MCP treatment followed by reddening (MCP+Melaio). While 1-MCP effectively arrested firmness loss, maintaining firmness above 47 N compared to the Melaio-only treatment which dropped to 35.9 N by the end of storage, the pathways of skin color development differed profoundly. The MCP-only strategy led to a highly non-uniform and visually inconsistent appearance (average Total Color Difference, ΔE* > 12) that persisted throughout storage. In contrast, the traditional melaio process proved indispensable for guiding the fruit towards a significantly more homogeneous final coloration (∆E* ≈ 5.5). The integrated MCP+Melaio strategy successfully reconciled these divergent effects, preserving high flesh firmness (47.9 N) while achieving the superior skin color uniformity characteristic of the traditional process (final ΔE* ≈ 5.6). This study demonstrates that pre-treating ‘Annurca’ apples with 1-MCP before the melaio period offers a viable, scientifically validated approach to resolving the critical trade-off between texture and skin color, enabling the ‘Annurca’ industry to meet modern textural expectations while preserving its unique cultural and quality traditions. Full article

(This article belongs to the Section Postharvest Biology, Quality, Safety, and Technology)

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15 pages, 1648 KB

Open AccessArticle

A Highly Efficient Protocol for Multiple In Vitro Somatic Shoot Organogenesis from the Hypocotyl- and Cotyledon-Derived Callus Tissues of Russian Cabbage Genotypes

by Marat R. Khaliluev, Nataliya V. Varlamova and Roman A. Komakhin

Horticulturae 2025, 11(10), 1246; https://doi.org/10.3390/horticulturae11101246 - 15 Oct 2025

Abstract

Generation of state-of-the-art highly productive cabbage genotypes (Brassica oleracea convar. capitata (L.) Alef.) with improved agronomic traits is attainable using modern biotechnological approaches. However, capitata cabbage is relatively recalcitrant to de novo shoot organogenesis from callus tissue, especially with loss of somatic [...] Read more.

Generation of state-of-the-art highly productive cabbage genotypes (Brassica oleracea convar. capitata (L.) Alef.) with improved agronomic traits is attainable using modern biotechnological approaches. However, capitata cabbage is relatively recalcitrant to de novo shoot organogenesis from callus tissue, especially with loss of somatic cell totipotency during genetic transformation. An effective and rapid protocol for in vitro indirect shoot organogenesis from hypocotyl and cotyledon explants derived from 6-day-old aseptic donor seedlings of Russian cabbage genotypes (the DH line as well as cvs. Podarok and Parus) has been developed. In order to obtain standardized donor explants, aseptic cabbage seeds were germinated under dim light conditions (30–40 µmol m⁻² s⁻¹) with a 16 h light/8 h dark photoperiod. Multiple indirect shoot organogenesis (1.47–4.93 shoots per explant) from both cotyledonary leaves and hypocotyl segments with a frequency of 55.2–89.1% was achieved through 45 days of culture on the 0.7% agar-solidified (w/v) Murashige and Skoog (MS) basal medium containing 2 mg/L 6-benzylaminopurine (6-BAP), 0.02 mg/L 1-naphthalene acetic acid (NAA), and 5 mg/L AgNO₃. The regenerants were successfully rooted on an MS basal medium (69.2%) without plant growth regulators (PGRs), as well as supplemented with 0.5 mg/L NAA (86.8%). Subsequently, in vitro rooted cabbage plantlets were adapted to soil conditions with an efficiency of 85%. This rapid protocol, allowing for the performance of a full cycle from in vitro seed germination to growing adapted plantlets under ex vitro conditions over 95 days, can be successfully applied to induce an indirect shoot formation in various cabbage genotypes, and it is recommended to produce transgenic plants with improved quality traits and productivity. Full article

(This article belongs to the Special Issue The Role of Plant Growth Regulators in Horticulture)

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19 pages, 934 KB

Open AccessArticle

Impact of Rainfall and Air Temperature Before Harvest on Content and Response of Carotenoids, Tocopherols, and Vitamin C to Postharvest Thermal Processing of Tomato

by Hussein G. Daood, Szilvia Ráth, Abdulnabi A. Abushita, Monika Máté and Lajos Helyes

Horticulturae 2025, 11(10), 1245; https://doi.org/10.3390/horticulturae11101245 - 15 Oct 2025

Abstract

This research aimed to explore the influence of climate factors, especially in the three weeks prior to harvest, on the reaction of key phytonutrients in industrial tomatoes used for juice thermal processing and their stability. The cultivation was performed in two areas with [...] Read more.

This research aimed to explore the influence of climate factors, especially in the three weeks prior to harvest, on the reaction of key phytonutrients in industrial tomatoes used for juice thermal processing and their stability. The cultivation was performed in two areas with differing climatic conditions. In the region with higher temperatures and rainfall, the levels and stability of carotenoids were lower compared to the area characterized by warm temperatures and minimal rainfall during both the growth and harvest phases of the tomatoes. The extraction of cold-break (CBE) tomatoes from relatively cool and wet environments resulted in a loss of total carotenoids, particularly lycopene, amounting to 66% and 58% of the initial raw tomato content in 2018 and 2019, respectively, while a markedly reduced loss of 10% was observed after the CBE of tomatoes from the warmer and drier region in both years (36% and 35%). In contrast, hot-break extraction (HBE) demonstrated a higher stability of lycopene compared to CBE, with losses of 43% and 53% in 2018 and 2019, respectively. Additionally, the stability of lycopene in HBE did not show significant differences between the cultivation sites. Climatic conditions influenced the accumulation of geometrical isomers and oxidized forms of lycopene and β-carotene, especially in tomatoes grown in areas with higher rainfall and lower temperatures. A similar trend in response was noted for β-carotene, lutein, phytoene, and phytofluene, as well as total and individual tocopherols. Regarding vitamin C, the environmental factors had no meaningful impact on the vitamin content in tomato fruits; however, its stability during processing, especially with hot-break extraction, was considerably influenced by the climatic conditions of the cultivation site, with p values ranging from <0.01 to <0.001 across different products in various years. The content and stability of phytonutrients in pomace, the by-product from tomato juice processing, were also assessed. In conclusion, tomato fruits and processed products that boast high phytonutrient levels and stability during thermal processing can be achieved through cultivation in conditions of low rainfall and relatively high temperatures, particularly in the three weeks leading up to harvest. Full article

(This article belongs to the Special Issue Advanced Postharvest Technology in Processed Horticultural Products)

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22 pages, 1913 KB

Open AccessReview

Advancements in the Regulation of Flavonoid Compounds in Monocotyledons and Dicotyledons by Plant MYB Transcription Factors

by Haiyan Luo, Qiong Luo, Tingting Bao, Jingtao Nie and Zhihong Sun

Horticulturae 2025, 11(10), 1244; https://doi.org/10.3390/horticulturae11101244 - 15 Oct 2025

Abstract

Flavonoids are essential secondary metabolites in plants, predominantly found in flowers, leaves, and fruits. They mainly include anthocyanins, proanthocyanidins, and flavonols. Transcription factors are a crucial family of proteins in plants, playing a significant role in regulating the biosynthesis of secondary metabolites. This [...] Read more.

Flavonoids are essential secondary metabolites in plants, predominantly found in flowers, leaves, and fruits. They mainly include anthocyanins, proanthocyanidins, and flavonols. Transcription factors are a crucial family of proteins in plants, playing a significant role in regulating the biosynthesis of secondary metabolites. This review introduces flavonoids and explores the characteristics and biological functions of MYB transcription factors. It establishes a phylogenetic tree using Arabidopsis thaliana MYB transcription factors as an example, which includes 17 subgroups (S1–S17). The subgroups related to flavonoids are primarily concentrated in S17, further classified into A, C, D, E, and F. The review also discusses the different regulatory roles of MYB transcription factors in flavonoid synthesis in monocotyledonous and dicotyledonous plants. This knowledge provides a theoretical foundation for further studies on the diverse regulatory functions of MYB transcription factors in flavonoid biosynthesis across the plant kingdom. Full article

(This article belongs to the Special Issue Quality Control and Enhancement of Horticultural Crops in the Post-Genomic Era)

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