农学最新文献

{"title":"Double nano-emulsions for stabilizing Vitamin C and enhancing antioxidant capacity with macadamia oil and tea tree essential oil","authors":"Dinh Quan Nguyen ,&nbsp;Ngoc Thien Phuc Nguyen ,&nbsp;Thi Trinh To ,&nbsp;Le Minh Dat Nguyen ,&nbsp;Thi Khanh Van Pham ,&nbsp;Gia Man Vu ,&nbsp;Long Phuoc Lieu","doi":"10.1016/j.ocsci.2025.04.007","DOIUrl":"10.1016/j.ocsci.2025.04.007","url":null,"abstract":"<div><div>Vitamin C, a potent antioxidant with broad therapeutic applications, is limited by rapid degradation under environmental stressors, which compromises its stability and bioactivity. This study addresses these limitations by formulating a double nano-emulsion (W/O/W) system incorporating macadamia oil and tea tree oil, using homogenization and phase inversion temperature (PIT) techniques. Comprehensive physicochemical characterization, including droplet size, polydispersity index (PDI), zeta potential, turbidity, Fourier transform infrared spectroscopy (FTIR), and SEM, was conducted alongside stability assessments under varying pH, temperature, and storage conditions. The optimized nano-emulsions exhibited nanoscale droplet sizes (10–40 ​nm), low PDI values (indicating high uniformity), and robust stability. Interestingly, the formulation with 2% W/O loading, with a particle size of 11.57 ​nm and a PDI of 0.04, demonstrated an antioxidant capacity of 4622.62 ​μg ascorbic acid equivalents (AA)/g, which was significantly higher (p ​&lt; ​0.05) compared to both natural oils (macadamia oil: 20.91 ​μg AA/g, tea tree oil: 16.86 ​μg AA/g) and a 10% Vitamin C aqueous solution (592.94 ​μg AA/g). FTIR analysis confirmed the molecular integrity of Vitamin C and its successful encapsulation with macadamia and tea tree oils, while SEM images revealed uniformly spherical and well-dispersed droplets. Moreover, the formulation retained its structural integrity and antioxidant functionality under diverse pH and thermal conditions. These findings underscore the potential of double nano-emulsion systems to overcome the stability challenges of Vitamin C, offering a promising approach to enhance its bioavailability and therapeutic performance in pharmaceutical and cosmetic applications.</div></div>","PeriodicalId":34095,"journal":{"name":"Oil Crop Science","volume":"10 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developmental regulatory factors promote the efficiency of crop genetic transformation.","authors":"Ying-Ying Xie, Ke-Jian Wang, Yu-Chun Rao, Yong Huang","doi":"10.16288/j.yczz.24-345","DOIUrl":"https://doi.org/10.16288/j.yczz.24-345","url":null,"abstract":"<p><p>Genetic transformation technology is a core tool for generating plants with gain- or loss-of-function in modern biology and agricultural biotechnology. In recent years, developmental regulatory factors (DRs) have shown great potential in enhancing the efficiency of crop genetic transformation. In this review, we systematically examine the main crop genetic transformation methods, including <i>Agrobacterium</i>-mediated transformation and gene gun techniques, and discuss the current challenges in the transformation process, such as low transformation efficiency, strong genotype dependence, and insufficient regeneration capacity. We then provide a detailed discussion of several key developmental regulatory factors and their recent applications in improving transformation efficiency, overcoming genotype dependence, and enhancing regeneration capacity. Additionally, we explore the future prospects of DRs, highlighting their significant potential applications in precision gene editing, functional genomics, synthetic biology, and crop genetic improvement. Through in-depth research on DRs, the bottlenecks in crop genetic transformation are expected to be effectively overcome, thus advancing the further development of crop science and agricultural biotechnology.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 9","pages":"992-1006"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145081891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A prognostic risk model construction for endometrial cancer based on inflammation-related genes.","authors":"Jian-Yao Liu, Yue Li, Huan-Huan Hu, Shu-Yue Xiao, Xin-Yi Xie, Shan-Liang Zhong, Zhen Gong, Chen-Jing Zhu, Han-Zi Xu","doi":"10.16288/j.yczz.24-376","DOIUrl":"https://doi.org/10.16288/j.yczz.24-376","url":null,"abstract":"<p><p>Inflammatory responses have been identified as a critical factor in the development and progression of various types of tumors. These responses influence the tumor microenvironment, promoting tumor cell invasion and migration while concomitantly reducing the efficacy of tumor therapy. Inflammation is widely regarded as a significant risk factor for the development of endometrial cancer (EC). However, the precise mechanisms through which it influences the development of EC remain to be elucidated. In this study, we obtain RNA expression profiles of EC patients and related clinical information from The Cancer Genome Atlas (TCGA) database. We then screen key inflammation-related genes using survival analysis and the least absolute value shrinkage and selection operator (LASSO) algorithms. Based on this, we finally construct a prognostic risk scoring model containing nine non-zero coefficient IRGs and an alignment diagram prediction model. Survival analysis demonstrates that patients in the low-risk group exhibit a higher survival rate and more favorable prognosis. The predictive performance of both models was confirmed through the analysis of test sets and calibration curves. Subsequently, we obtain EC-related datasets from the Gene Expression Omnibus (GEO) database to serve as an external validation, thereby further substantiating the reliability of the models. Subsequent immune infiltration analysis revealed significant disparities among nine immune cell types between the high- and low-risk groups, with multiple immune cells correlating with tumor progression and prognosis. Concurrently, we perform drug sensitivity analysis, it reveals a significant correlation between one representative EC drug, tamoxifen, and one of the aforementioned IRGs. In summary, our study successfully constructs a risk score model and a column-line graph prediction model for EC. It is expected that these models will better predict the overall survival and provide new therapeutic targets for EC patients.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 9","pages":"1007-1022"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145081937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genes and QTLs discovery for sesame (Sesamum indicum L.) breeding traits: A review","authors":"Desawi Hdru Teklu ,&nbsp;Ahmed A. Abbas ,&nbsp;Jun You ,&nbsp;Linhai Wang","doi":"10.1016/j.ocsci.2025.03.003","DOIUrl":"10.1016/j.ocsci.2025.03.003","url":null,"abstract":"<div><div>Sesame is a multi-purpose high-value oilseed crop, which can beused in the food, feed, and cosmetics applications. The low yield of sesame is due to the lack of high-yielding and locally adapted varieties, which have the susceptibility to capsule shattering and biotic and abiotic stresses. The breeding gains in sesame are low and stagnant compared to other oilseed crops such as canola, groundnut and sunflower. Breeding for enhanced yield-related, oil quantity and quality, biotic and abiotic stresses tolerant varieties is vital to the adaptation of the climate change. Several genes and quantitative trait loci (QTLs) related to yield-related, oil quantity and quality, biotic and abiotic stresses tolerant have been identified through modern plant breeding tools in sesame. The depth understanding of the genetic basis, molecular mechanisms and regulatory genes involved in yield-related, oil quantity and quality, biotic and abiotic stresses tolerant in sesame is important for the improvement of sesame breeding programs. This article reviews and documents these achievements will provide fundamental data and references for practical applications of sesam research.</div></div>","PeriodicalId":34095,"journal":{"name":"Oil Crop Science","volume":"10 3","pages":"Pages 240-258"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Random forest regressor applied in prediction of percentages of calibers in mango production","authors":"Bernard Roger Ramos Collin ,&nbsp;Danilo de Lima Alves Xavier ,&nbsp;Thiago Magalhães Amaral ,&nbsp;Ana Cristina G. Castro Silva ,&nbsp;Daniel dos Santos Costa ,&nbsp;Fernanda Magalhães Amaral ,&nbsp;Jefferson Tales Oliva","doi":"10.1016/j.inpa.2024.12.002","DOIUrl":"10.1016/j.inpa.2024.12.002","url":null,"abstract":"<div><div>The importance of identifying the caliber in advance is in knowing the exact quantity of mangos, by weight, that a determined crop season (complete periods of the mango cycle from growth up to fruit harvest) will provide. This study uses Random Forest method to predict the percentage distribution of the calibers of four mango varieties from Brazil’s largest exporter and producer. Our proposed approach was conducted in the following steps: data collection; data preprocessing; predictive model building; and model evaluation. The data correspond to three crop seasons, namely those of 2019, 2020, and 2021. Each data line corresponds to a plot with the percentage of a determined caliber at the end of a crop season. The number of rows in the dataset is 5503, with 37.33 %, 31.47 %, 22.76 %, and 8.44 % corresponding to the Keitt, Tommy Atkins, Kent, and Palmer varieties, respectively. The variables are Productivity, (N) Nitrogen, Number of plants (units), Plants/hectare, Month of floral induction, (Zn) Zinc, (S) Sulfur, (B) Boron, Caliber, and Percentage of caliber. The Python programming language was used to preprocess the data, do exploratory analysis, develop the algorithms of the Random Forest Regressor, and compile the lines of the code in Visual Studio Code. Python libraries were used during the study, such as pandas for data handling and Scipy for removing outliers to avoid any biases in the data. The YellowBrick library was used for the feature selection process. Four regression models were created using Random Forest (RF), one for each variety of fruit that composes the dataset. The algorithms showed satisfactory results for Kent, Keitt, Tommy Atkins, and Palmer mangoes, with the following R² of the models: 87.29 %, 74.37 %, 87.69 %, and 62.75 %, respectively. During the Feature Selection<!--> <!-->step, nitrogen (N) was perceived to be highly important in all the models, highlighting the representative nature of this element in fruit formation. From the models created, it is possible to predict the percentage distribution of the calibers of mangos from each growing area 6 months in advance, using data that characterize each area and information on the presence of leaf nutrients as input.</div></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"12 3","pages":"Pages 370-383"},"PeriodicalIF":7.4,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145327149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rule-based year-round model predictive control of greenhouse tomato cultivation: A simulation study","authors":"Dan Xu ,&nbsp;Lei Xu ,&nbsp;Shusheng Wang ,&nbsp;Mingqin Wang ,&nbsp;Juncheng Ma ,&nbsp;Chen Shi","doi":"10.1016/j.inpa.2024.11.001","DOIUrl":"10.1016/j.inpa.2024.11.001","url":null,"abstract":"<div><div>Maximizing profit is usually the objective of optimal control of greenhouse cultivation. However, due to the problem of “the curse of dimensionality”, the global optimization of greenhouse climate is usually difficult when faced with a complex dynamic model and a long cultivation period. Compared with leafy vegetables with a much simpler dynamic model and a much shorter cultivation period, the year-round tomato model usually has many more states to describe its dynamics better. To solve the year-round climate control of greenhouse tomato cultivation, a rule-based model predictive control (MPC) algorithm is raised. The innovation of this paper lies in that the setpoints of the proposed MPC algorithms are determined by the external weather and the month-averaged predictions of the tomato price. With the greenhouse climate – tomato growth dynamic model and the economic performance index, different MPC algorithms are compared with the traditional on/off control algorithm and the open field cultivation. Quantified results of yield, cost, and profit are obtained with the weather data and market data collected in Beijing. Findings of this paper showed that the year-round greenhouse tomato cultivation in Beijing is hardly profitable with the tomato price sold as an open field product (XFD price). With the tomato price sold as a high-tech greenhouse product (JD price), the higher yield guarantees a higher profit. Moreover, the simple emphasis on energy minimization cannot even guarantee a higher yield than that in the open field. A synthetical consideration of yield and cost is a prerequisite for a high profit.</div></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"12 3","pages":"Pages 344-357"},"PeriodicalIF":7.4,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145327413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of Sassafras tzumu leaves color quantification with UAV RGB imaging and Sassafras-net","authors":"Qingwei Meng ,&nbsp;Wei Qi Yan ,&nbsp;Cong Xu ,&nbsp;Zhaoxu Zhang ,&nbsp;Xia Hao ,&nbsp;Hui Chen ,&nbsp;Wei Liu ,&nbsp;Yanjie Li","doi":"10.1016/j.inpa.2025.02.001","DOIUrl":"10.1016/j.inpa.2025.02.001","url":null,"abstract":"<div><div>Quantifying the leaf density and coloration of trees is critical for assessing landscape esthetics and photosynthetic efficiency; however, traditional leaf-counting methods are labor-intensive and potentially harmful to trees, making accurate measurements challenging. To address these issues, we present “Sassafras-net,” an advanced model specifically designed to detect and count colored leaves on <em>Sassafras tzumu</em> trees.</div><div>The methodology consists of two steps. First, we used an improved model termed YOLOX-CBAM to accurately detect and isolate individual trees. This model proved to be more effective than alternatives, such as YOLOX, YOLOv8, YOLOv7, YOLOv5, and Fater-RCNN. Second, the Sassafras-net model, which is based on the CCTrans network, counts the number of colored leaves per tree. Compared with the original CCTrans model of 52.30 and 84.90, the Sassafras-net model achieved significantly lower mean absolute error and mean squared error values of 27.29 and 39.00, respectively. These results confirm the ability of the model to accurately and efficiently quantify colored leaves.</div><div>To the best of our knowledge, this is the first study to quantify colored leaves in trees. Our method provides forestry researchers with an effective and economical tool for selecting and breeding <em>S. tzumu</em> trees with enhanced color traits. In addition, this study opens new avenues for studying tree traits related to leaf coloration.</div></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"12 3","pages":"Pages 384-397"},"PeriodicalIF":7.4,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145327416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The molecular mechanism of limb regeneration of <i>Hynobius yiwuensis</i>.","authors":"Hao Chen, Rui Dong, Yan-Feng Wang, Jing-Bei Xie, Zhao-Xu Zhang, Rong-Quan Zheng","doi":"10.16288/j.yczz.24-326","DOIUrl":"https://doi.org/10.16288/j.yczz.24-326","url":null,"abstract":"<p><p><i>Hynobius yiwuensis</i> is a vulnerable species endemic to China, restricted to specific hilly regions in Zhejiang Province. This study employed stereomicroscopy to examine the limb regeneration process in <i>H. yiwuensis</i> and utilized transcriptome sequencing to analyze differentially expressed genes. The results indicate that <i>H. yiwuensis</i> possesses strong regenerative capabilities, with the regeneration process comprising four stages: wound healing, tissue dissolution and dedifferentiation, blastema formation, and morphogenesis followed by redifferentiation. Transcriptome analysis identified numerous differentially expressed genes during limb regeneration, exhibiting distinct expression patterns at various time points post-amputation. Key differentially expressed genes were identified, including <i>IL10</i>, associated with cellular immunity and inflammation; <i>TGFβ3</i>, involved in early muscle tissue regeneration; and MMPs, implicated in tissue remodeling. qRT-PCR validation of selected differentially expressed genes confirmed the reliability of the transcriptome sequencing data. Preliminary findings suggest that <i>H. yiwuensis</i> regulates limb regeneration and promotes scar-free tissue repair through signaling pathways such as Wnt/β-catenin, TGFβ, and BMP.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 9","pages":"1032-1041"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145081954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lipid metabolism imbalance: potential pathological mechanism and new intervention ideas for recurrent miscarriage.","authors":"Wen-Hui Nan, Xun-Si Qin, Rong Li","doi":"10.16288/j.yczz.24-332","DOIUrl":"https://doi.org/10.16288/j.yczz.24-332","url":null,"abstract":"<p><p>Recurrent miscarriage is defined as three or more consecutive spontaneous abortions. Its etiology is complex, involving genetic, immune, and endocrine factors. In recent years, lipid metabolism disorders have attracted increasing attention for their potential role in recurrent miscarriage. Abnormalities in lipid metabolism can adversely affect endometrial receptivity, contributing to implantation failure. However, the precise underlying mechanisms remain to be fully elucidated. In this review, we provide an overview of the pathological mechanisms and recent advancements in research pertaining to the relationship between lipid metabolic disorders, embryonic development, and the establishment of endometrial receptivity. Special emphasis is placed on the influence of cholesterol and fatty acid metabolism on recurrent miscarriage. Furthermore, we examine the contributions of lipid metabolism to hormone synthesis and regulation, as well as the pathological changes that can arise from lipid-mediated local inflammation within the endometrium. Finally, we discuss the potential roles of lipid profile monitoring, dietary interventions, and lipid metabolism-targeted therapies in the early diagnosis and treatment of recurrent miscarriage. We hope this review can enhance understanding of the mechanisms underlying lipid metabolic dysfunction in this context and inform the development of tailored therapeutic strategies.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 9","pages":"979-991"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145081931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Grading the damage degree of fresh Lycium barbarum L. fruits based on electrical characteristics","authors":"Jin-Hai Li ,&nbsp;Lie-Fei Ma ,&nbsp;Wei-Wei Zhang ,&nbsp;Ai-Li Qu ,&nbsp;Yao-Yao Gao ,&nbsp;De-Hua Gao ,&nbsp;Yu-Tan Wang","doi":"10.1016/j.inpa.2025.02.002","DOIUrl":"10.1016/j.inpa.2025.02.002","url":null,"abstract":"<div><div>Fresh <em>Lycium barbarum L.</em> (<em>L. barbarum</em>) fruits are renowned for their exceptionally high nutritional value and health benefits, which is leading to an increasing demand among consumers. However, the quality testing and grading of fresh <em>L. barbarum</em> fruits present significant challenges that hinder the growth of the <em>L. barbarum</em> industry. In this study, an electrical characterization method is used to analyze the variations in electrical parameters of fresh <em>L. barbarum</em> fruits under different degrees of damage. Optimal testing conditions for eight electrical parameters are determined, and principal component analysis (PCA) along with partial least squares (PLS) is applied to reduce data dimensionality and extract key features. Subsequently, damage degree discrimination models are developed using the support vector machine (SVM), random forest (RF), and convolutional neural network (CNN). The experimental results indicate that the PLS-RF model was the most effective, achieving discrimination accuracies of 99.48% and 91.25% in the training and test sets, respectively. The aim of this study is to validate the feasibility of using electrical characteristics to differentiate the degree of fruit damage and it establishes a reliable model for assessing damage extent in <em>L. barbarum</em> fruits. This innovative approach not only provides a novel method for evaluating fruit damage but may also serve as a theoretical basis for the development of mechanical harvesting equipment for <em>L. barbarum</em> fruits.</div></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"12 3","pages":"Pages 398-407"},"PeriodicalIF":7.4,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145327414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}