Search Results (144)

To address technical challenges such as equipment clogging and tuber damage during the mechanized harvesting of Xiangsha taro, this study designed a high-speed sliding-cutting device and conducted preliminary field performance evaluations. Based on the preliminary morphological baseline of Xiangsha taro and the distribution of soil penetration resistance, a multi-tooth rotary disc cutting device was developed. Kinematic and dynamic modelling indicated that a velocity ratio of 3.5–5.5 facilitate a ‘cycloidal loop’ trajectory, which theoretically reduces the potential for root disturbance by mitigating forward pushing forces. Initial field tests under specific orderly ridge conditions yielded a cutting qualification rate exceeding 96% and an estimated field capacity of 0.025 ha/h. While these results offer a preliminary technical reference for segmented harvesting equipment, the current validation is limited by the idealized row alignment of the experimental plot. Future research must evaluate the system’s adaptability to field irregularities and conduct direct controlled comparisons with commercial manual devices to fully substantiate its practical superiority. Full article

Potato nitrogen (N) demand varies with developmental stage rather than remaining uniformly high throughout the season. This review re-examines the “nitrate-first, ammonium-later” strategy by separating total N amount, N-supply timing, N form, and soil N transformation. Current evidence suggests that nitrate is better aligned with pre-tuber initiation because it supports stolon development and tuber set under non-excessive N supply, whereas ammonium-containing nutrition may benefit tuber bulking only when NH₄⁺ persists in the root zone and soil chemical constraints are controlled. Field responses attributed to N form are often shaped by crop N status, genotype × environment × management interactions, nitrification–denitrification dynamics, water regime, soil texture, fertilizer placement, and cultivar. We therefore interpret the strategy as a conditional, stage-oriented framework rather than a universal fertilizer prescription. Integrating NNI-/CNDC-based diagnosis, root-zone monitoring, enhanced-efficiency fertilizers, and soil-process evidence can improve synchronization between N supply and potato demand, supporting yield formation, N-use efficiency, and reduced environmental risk. Full article

Objectives: Autism spectrum disorder (ASD) is increasingly conceptualized as a neurodevelopmental condition with prenatal origins. Advances in fetal magnetic resonance imaging (MRI), including high-resolution structural imaging and resting-state functional connectivity analysis, now enable in vivo characterization of the developing human brain before birth. This review examines whether fetal MRI biomarkers are associated with later ASD diagnosis or autistic traits. Methods: We conducted a PRISMA-informed narrative review of human studies identified through MEDLINE, EMBASE, SCOPUS, and Web of Science. Eligible studies included original human investigations using fetal MRI to assess brain structure and/or function, with postnatal ASD diagnosis or standardized autistic-trait outcomes. Results: Eight eligible studies provide converging evidence that neurodevelopmental divergence associated with ASD may be detectable in utero. Structural analyses consistently report prenatal volumetric alterations, particularly enlargement of the insular cortex between the second and third trimesters. Additional findings of regional overgrowth and hemispheric asymmetries suggest distributed deviations in cortical maturation. Functional fetal MRI studies further demonstrate atypical large-scale network organization prior to birth. Altered connectivity within cingulate, prefrontal, temporal, and cerebellar circuits has been prospectively associated with later autistic traits, indicating that network-level integration may diverge before behavioral symptoms emerge. Evidence from high-risk conditions, including isolated ventriculomegaly and tuberous sclerosis complex, reinforces the association between prenatal structural abnormalities and increased ASD risk. Conclusions: Current evidence suggests that structural and functional brain alterations identifiable by fetal MRI may precede the clinical manifestation of ASD. These findings support a model of ASD as a condition potentially rooted in prenatal neurodevelopmental divergence. However, larger, standardized, multicenter studies are required before fetal MRI biomarkers can be translated into predictive or clinical applications. Full article

Microbial volatile organic compounds (VOCs) mediate rhizosphere plant-microbe interactions, yet their integrated effects on plant microbiome assembly and host transcriptional regulation remain unresolved. Here we address this gap by investigating how two common VOCs, acetoin (AC) and 2,3-butanediol (BD), influence growth, rhizosphere communities, and root gene expression in the medicinal plant Pseudostellaria heterophylla using a split-pot system. Bacterial and fungal communities were monitored across three developmental stages via amplicon sequencing, alongside root transcriptome profiling during tuber enlargement. Contrasting with widely reported growth-promoting effects of microbial VOCs, both compounds significantly reduced tuber number and biomass. Bacterial communities remained taxonomically stable, shaped primarily by species replacement, with modest VOC responses but clear shifts across developmental stages. Fungal communities exhibited marked compositional restructuring and greater treatment sensitivity, particularly under BD. Neutral community modeling indicated predominantly stochastic bacterial assembly, while fungal assembly—especially under BD—showed stronger influence of deterministic processes. BD associated with broader transcriptional reprogramming than AC, including downregulation of photosynthesis, specialized metabolism, and defense pathways. Cross-omics network analysis revealed discriminant genera (e.g., Granulicella, Harposporium) that correlated strongly with host genes involved in stress response, development, and epigenetic regulation, with fungal taxa showing tighter associations with host expression than bacteria. Together, these findings establish a mechanistic framework for how microbial VOCs shape rhizosphere communities and host responses, with implications for microbiome-based strategies in medicinal plant cultivation. Full article

The cultivation of potatoes is essential for rural food security, and the use of Unmanned Aerial Vehicle Red-Green-Blue (UAV-RGB) imagery allows for precise and cost-effective estimation of yield and identification of varieties, overcoming the limitations of manual assessment. We evaluated four INIA varieties (Bicentenario, Canchán, Shulay and Tahuaqueña) by integrating agronomic measurements (height, number and weight of tubers, leaf health) with color and textural indices derived from RGB orthomosaics. Yield prediction was modeled using Random Forest (RF) and Gradient Boosting (GB); varietal identification was approached with (i) a Convolutional Neural Network (CNN) that classifies RGB images and (ii) classical models such as Random Forest, Support Vector Machines (SVMs), K-Nearest Neighbors (KNNs), Decision Trees and Logistic Regression trained on EfficientNetB0 embeddings. The results showed significant genotypic differences in yield (p < 0.001): Tahuaqueña 13.86 ± 0.27 t ha⁻¹ and Bicentenario 6.65 ± 0.27 t ha⁻¹. The number of tubers (r = 0.52) and plant height (r = 0.23) correlated with yield; RGB indices showed low correlations (r < 0.3) and high redundancy (r > 0.9). RF achieved a better fit (Coefficient of determination, R² = 0.54; Root Mean Square Error, RMSE = 2.72 t ha⁻¹), excelling in stolon development (R² = 0.66) and losing precision in maturation due to foliar senescence. In classification, the CNN and RF on embeddings achieved F1-macro ≈ 0.69 and 0.66 (Receiver Operating Characteristic—Area Under the Curve, ROC AUC RF = 0.89), with better identification of Bicentenario and Shulay. We conclude that UAV-RGB is a cost-effective alternative for phenotypic monitoring and varietal selection in high Andean contexts. These findings support the integration of UAV-RGB imagery into breeding and monitoring pipelines in resource-limited Andean systems. Full article

The genus Asparagus L. is a traditional Chinese herb valued for its medicinal and culinary properties, with root tubers being the primary organ of interest. To elucidate the genetic mechanisms underlying tuber formation, we conducted a comparative transcriptome analysis of two species, Asparagus cochinchinensis (Lour.) Merr. and Asparagus taliensis F. T. Wang & Tang ex S. C. Chen, which exhibit distinct differences in root tuber number. High-throughput sequencing generated 6.68 Gb and 7.60 Gb of clean data for the respective species, leading to the annotation of 115,080 non-redundant unigenes. Comparative analysis identified 26,013 differentially expressed genes (DEGs), including 1096 associated with carbohydrate metabolism. Weighted gene co-expression network analysis (WGCNA) revealed that the MEred and Megreenyellow modules which included genes involved in material and energy metabolism were significantly correlated with tuber development. From these modules, we identified two candidate genes involved in carbon and sugar metabolism, designated Ac_uniYEAD and Ac_uniRPE. Quantitative real-time PCR validation confirmed that their expression levels were positively correlated with root tuber number, consistent with the transcriptomic data. These results highlight Ac_uniYEAD and Ac_uniRPE as promising targets for genetic improvement of tuber yield in Asparagus breeding programs. Full article

Potato (Solanum tuberosum L.) is a key staple crop in the Peruvian Andes, but its productivity is threatened by fungal pathogens such as Rhizoctonia solani and Alternaria alternata. In this study, 71 native bacterial strains (39 from phyllosphere and 32 from rhizosphere) were isolated from potato plants across five agroecological zones of Peru and characterized for their plant growth-promoting (PGPR) and antagonistic traits. Actinomycetes demonstrated broader enzymatic profiles, with 2ACPP4 and 2ACPP8 showing high proteolytic (68.4%, 63.4%), lipolytic (59.5%, 60.6%), chitinolytic (32.7%, 35.5%) and amylolytic activity (76.3%, 71.5%). Strain 5ACPP5 (Streptomyces decoyicus) produced 42.8% chitinase and solubilized both dicalcium (120.6%) and tricalcium phosphate (122.3%). The highest IAA production was recorded in Bacillus strain 2BPP8 (95.4 µg/mL), while 5ACPP6 was the highest among Actinomycetes (83.4 µg/mL). Siderophore production was highest in 5ACPP5 (412.4%) and 2ACPP4 (406.8%). In vitro antagonism assays showed that 5ACPP5 inhibited R. solani and A. alternata by 86.4% and 68.9%, respectively, while Bacillus strain BPP4 reached 51.0% inhibition against A. alternata. In greenhouse trials, strain 4BPP8 significantly increased fresh tuber weight (11.91 g), while 5ACPP5 enhanced root biomass and reduced stem canker severity. Molecular identification confirmed BPP4 as Bacillus halotolerans and 5ACPP5 as Streptomyces decoyicus. These strains represent promising candidates for the development of bioinoculants for sustainable potato cultivation in Andean systems. Full article

Valued above all others, the white truffle species (Tuber magnatum Picco) is highly dependent on the forest ecosystem and its underground biology. Despite its economic importance, knowledge of its biology and mycorrhizal symbioses remains limited; moreover, natural yields have sharply declined, and cultivation efforts have produced inconsistent results. This study evaluated various forest and mycorrhizal inoculation techniques to promote T. magnatum mycelium development in three Tuscan sites converted to truffle cultivation, using qPCR analysis. Alongside conventional practices like irrigation, mulching, and tillage, an experimental method with a sterile, spore-inoculated soil barrier was tested to improve host root establishment, enhance mycorrhization, and maintain long-term symbiosis for healthy truffle ecosystems. Soil analyses nine months after planting Quercus robur L. seedlings showed significant differences in Tuber magnatum mycelium abundance across sites and treatments. The MA treatment—mycorrhized seedlings combined with a sterile, inoculated substrate and separation diaphragm—produced the highest mycelial levels, underscoring the importance of initial mycorrhization and soil manipulation. These findings provide valuable insights for optimizing forest management and improving truffle cultivation by enhancing mycelial development, a key step toward increasing truffle production. Full article

Limited annotated data often constrain accurate yield prediction in underrepresented crops. To address this challenge, we developed a cross-crop deep transfer learning (TL) framework that leverages potato (Solanum tuberosum L.) as the source domain to predict sweet potato (Ipomoea batatas L.) yield using multi-temporal uncrewed aerial vehicle (UAV)-based multispectral imagery. A hybrid convolutional–recurrent neural network (CNN–RNN–Attention) architecture was implemented with a robust parameter-based transfer strategy to ensure temporal alignment and feature-space consistency across crops. Cross-crop feature migration analysis showed that predictors capturing canopy vigor, structure, and soil–vegetation contrast exhibited the highest distributional similarity between potato and sweet potato. In comparison, pigment-sensitive and agronomic predictors were less transferable. These robustness patterns were reflected in model performance, as all architectures showed substantial improvement when moving from the minimal 3 predictor subset to the 5–7 predictor subsets, where the most transferable indices were introduced. The hybrid CNN–RNN–Attention model achieved peak accuracy ($R^2\approx 0.64$ and RMSE ≈ 18%) using time-series data up to the tuberization stage with only 7 predictors. In contrast, convolutional neural network (CNN), bidirectional gated recurrent unit (BiGRU), and bidirectional long short-term memory (BiLSTM) baseline models required 11–13 predictors to achieve comparable performance and often showed reduced or unstable accuracy at higher dimensionality due to redundancy and domain-shift amplification. Two-way ANOVA further revealed that cover crop type significantly influenced yield, whereas nitrogen rate and the interaction term were not significant. Overall, this study demonstrates that combining robustness-aware feature design with hybrid deep TL model enables accurate, data-efficient, and physiologically interpretable yield prediction in sweet potato, offering a scalable pathway for applying TL in other underrepresented root and tuber crops. Full article

For successful potato production, maintaining a proper balance of mineral nutrients is crucial, as high yields cannot be achieved in fields lacking essential elements. The exact amount of fertilizer should be determined based on the expected yield, crop nutrient requirements, soil analysis, cultivation technology, and specific growing conditions. N (N) plays a crucial role in potato tuber growth. It is involved in the synthesis of proteins that are stored in the tubers and helps prolong the lifespan of the leaf canopy. On average, potato crops require a N supply of 80–120 kg/ha. Based on several studies, N fertilization significantly increased potato tuber yield, while dry matter content showed a slight decline. This indicates that higher N rates can enhance yield but potentially decrease tuber quality. To achieve high tuber yields while preserving desirable dry matter and starch content, the optimal N rate is approximately 100–120 kg N/ha. Although higher N inputs (>150 kg N/ha) may temporarily boost vegetative growth, they ultimately delay tuber maturation, reduce dry matter and starch accumulation, and increase production costs due to inefficient fertilizer use. Excessive N fertilization accelerates soil degradation and contributes to environmental pollution (soil acidification, NO₃⁻ leaching, NH₃ emissions, NO, N₂O, and NO₂, leading to additional long-term ecological burdens. Therefore, minimizing N losses through sustainable soil management is essential for maintaining both farm profitability and environmental protection. Integrating N fertilization with biofertilizers—such as beneficial bacteria that colonize roots, enhance nutrient uptake, and stimulate root development—can improve yields while reducing reliance on costly synthetic fertilizers. This supports both soil fertility and crop productivity. Full article

Edible underground storage organ (EUO) plants, including tubers, rhizomes, corms, and root tubers, play a crucial role in food security, nutrition, traditional medicine, and local livelihoods, yet many regions of northeastern Thailand, including Maha Sarakham Province, remain underexplored in ethnobotanical research. This study aimed to document the diversity, traditional uses, and economic importance of EUO plants in the province. Field surveys, local market assessments, and ethnobotanical interviews were conducted, and voucher specimens were collected. Quantitative indices, including the Cultural Food Significance Index (CFSI), Fidelity Level (%FL), and economic value (EV), were applied to evaluate the cultural, medicinal, and economic significance of each species. A total of 53 EUO taxa from 22 families were recorded, representing both wild-harvested and cultivated resources. Dioscoreaceae and Zingiberaceae were among the most species-rich families. Among the EUO plants, Allium ascalonicum L. stood out for its cultural significance, Gloriosa superba L. for its medicinal importance, and Smallanthus sonchifolius (Poepp.) H.Rob. for its economic value. Several other EUO plants exhibited high cultural consensus and consistent use patterns, underscoring their integration into local diets, traditional healthcare, and rural economies. The study demonstrates that EUO plants contribute not only to dietary diversity and cultural identity but also to rural economies. These findings highlight the importance of conserving biological and traditional knowledge and promote sustainable cultivation and horticultural development of priority EUO species to strengthen local food system resilience. Full article

Polysaccharide-based edible coatings are increasingly explored as sustainable strategies for maintaining quality of fresh produce, acting as barriers to gas exchange while improving mechanical and optical properties. However, their effectiveness depends not only on the intrinsic features but also on the structural and physiological diversity of fruits and vegetables, which vary in peel composition, hydrophobicity, and texture. This study investigated plant-derived polysaccharide films (cassava starch, potato starch, corn starch, carboxymethylcellulose, hydroxypropylmethylcellulose, and pectin) characterized for moisture resistance, solubility, permeability, thermal stability, hydrophilicity, opacity, gloss, and mechanical strength. Concurrently, different fruits and vegetables (fruit, root, and tubers) were analyzed for their surface hydrophilicity to establish correlations between film properties and peel characteristics. The findings emphasize that no single polymer can be universally applied. In addition, the choice of matrix must be guided by both film functionality and produce surface traits. Starch-based films presented high hydrophilicity, suggesting better wettability, while pectin and cellulose derivatives presented distinct advantages for less hydrophilic peels. This work highlights the importance of tailoring edible coatings according to the physicochemical compatibility between films and fresh produce surfaces, providing insights for improving post-harvest preservation strategies and guiding the development of effective, sustainable coatings for diverse horticultural commodities. Full article

Laifeng ginger (Zingiber officinale cv. Fengtoujiang) is a famous Geographical Indication (GI) ginger variety, which grows specifically in Laifeng County, Hubei, China. In recent years, it faced a serious food safety issue of lead (Pb) exceedance in the rhizomes even though the Pb content in the soil remains at a safe level. This problem severely hinders the local ginger’s market growth. In the present study, a field study across 37 Laifeng ginger farms revealed a connection between the occurrence of Pb exceedance and the choices of fertilizers. Cultivation experiments demonstrated that with more organic fertilizer (OF) applied, the Pb of rhizome effectively declined, and the branching and longitudinal growth were enhanced. The OF application facilitated Pb translocation from rhizomes to stems and leaves. Furthermore, we showed that OF improved the soil properties by altering the pH and the composition of soil microbial communities at the genus level, which was likely to be associated with reduced the Pb content in the ginger rhizomes. This research tackles the critical industry issue of Pb exceedance in Laifeng ginger, providing a basis for the fertilization of root and tuber plants with excessive heavy metal levels, and establishes a foundation for sustainable GI product development. Full article

Potatoes are the most extensively cultivated vegetable crop in Canada and rank as the fifth largest primary agricultural commodity. Given their diverse end uses and significant market value, particularly in processed forms, ensuring consistent quality from harvest to consumption is of critical importance. Total glycoalkaloids (TGA) are nitrogen-containing secondary metabolites that are known to accumulate in the tuber as an effect of greening in-field or elsewhere in the supply chain. In this study, 210 Yukon Gold (YG) potatoes were exposed to a constant light source to green over a period of 14 days and sampled in 7-day intervals. The samples were scanned using a short-wave infrared (SWIR) hyperspectral imaging camera in the 900–2500 nm wavelength range. Once individually scanned, pixel-wise spectral data was extracted and averaged for each tuber and matched with its respective ground truth TGA values which were obtained using a High-Performance Liquid Chromatography (HPLC) system. Prediction models using the partial least squares regression technique were developed from the extracted hyperspectral data and reference TGA values. Wavelength selection techniques such as competitive adaptive re-weighted sampling (CARS) and backward elimination (BE) were deployed to reduce the number of contributing wavelengths for practical applications. The best model resulted in a correlation coefficient of cross-validation (R²_cv) of 0.72 with a root mean square error of cross-validation (RMSE_cv) of 51.50 ppm. Full article

The joint adoption of agronomic practices has often been employed to maximize the efficiency of production inputs, especially water and nutrients. Potato (Solanum tuberosum) is a highly demanding crop in both water and nutrients. This study aimed to determine the most appropriate strategy for irrigation frequency and planting fertilization depth in potato cultivated in amended soil, in order to maximize plant growth, tuber yield, and tuber quality. Field experiments were conducted over two growing seasons, with irrigation frequencies of daily irrigation and irrigation every 4, 7, and 10 days, and planting fertilization depths of 10 and 20 cm. Irrigation frequency significantly affected agronomic traits, water consumption, potato growth, and tuber quality. Treatments did not influence root development across different soil layers. Irrigation intervals of 1 and 4 days promoted greater plant growth. A 7-day irrigation interval enhanced specific gravity and soluble solids in tubers, while a 10-day interval increased tuber dry matter content by up to 18% compared to daily irrigation (IF1). Decreasing irrigation frequency reduced the irrigation depth without affecting yield and average tuber mass, and improved water productivity. Water productivity increased by up to 32% under the 10 day irrigation interval (IF10) compared to IF1. Therefore, reducing irrigation frequency is a promising strategy to improve water use efficiency in potato cultivation. Full article