Agriculture Communications最新文献

{"title":"Liquid–liquid phase separation regulates gene expression in plants","authors":"Diyi Fu ,&nbsp;Bochen Jiang","doi":"10.1016/j.agrcom.2025.100084","DOIUrl":"10.1016/j.agrcom.2025.100084","url":null,"abstract":"<div><div>Liquid–liquid phase separation (LLPS) is recognized as a key process for the efficient organization of macromolecules, including numerous proteins and nucleic acids, within cells, facilitating the formation and function of various membraneless organelles. Growing evidence shows that environmental cues, including light, temperature, hormones, and pathogens, trigger the LLPS of phase-separating proteins with intrinsically disordered or multimerization regions, thereby modulating plant growth and development. Proteins involved in phase separation form distinct biomolecular condensates localized across subcellular compartments, from the nucleus to the cytoplasm and organelles. Here, we summarize the plant condensates assembled by LLPS, with a focus on those that regulate gene expression either directly or indirectly through mechanisms such as DNA epigenetics, transcription, mRNA methylation, and RNA metabolism. These findings underscore the potential of exploiting reversible protein phase separation for plant engineering to enhance crop yield and stress tolerance.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 2","pages":"Article 100084"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144254702","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 unified strategy for addressing climate change, improving public health, and mitigating environmental degradation","authors":"Sierra M. Silverwood ,&nbsp;Katie E. Lichter ,&nbsp;Helena S. Kleiner ,&nbsp;Tamiko R. Katsumoto","doi":"10.1016/j.agrcom.2025.100090","DOIUrl":"10.1016/j.agrcom.2025.100090","url":null,"abstract":"","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 2","pages":"Article 100090"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144322893","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":"Germination fitness differs between penoxsulam resistant and susceptible Echinochloa phyllopogon biotypes","authors":"Haitao Gao ,&nbsp;Jie Li ,&nbsp;Jiaxing Yu ,&nbsp;Yucheng Gu ,&nbsp;Hongchun Wang ,&nbsp;Liyao Dong","doi":"10.1016/j.agrcom.2025.100088","DOIUrl":"10.1016/j.agrcom.2025.100088","url":null,"abstract":"<div><div><em>Echinochloa phyllopogon</em>, a malignant weed that mostly reproduces through self-pollination in the paddy fields of Northeast China, currently presents critical resistance concerns. Multiple herbicide-resistant individuals were identified within the same population, and seeds from each biotype were propagated for three generations. Three biotypes resistant to penoxsulam exhibited varying degrees of cross-resistance to other acetolactate synthase (ALS) inhibitors. Sequencing results indicated that F4 generation seeds were homozygous with stably inherited mutations. A derived cleaved amplified polymorphic sequences (dCAPS) method was consistent with the sequencing results and can quickly and accurately detect specific <em>ALS</em> mutations in <em>E. phyllopogon</em>. Seed germination experiments revealed that at 200 ​mM NaCl concentration, the <em>t</em>E₅₀ values of R_NTSR (non-target-site resistance) and R₁₉₇ (target-site resistance carrying ​Pro-197-Thr mutation) biotypes were 11.37 and ​&gt; ​14 days, respectively, with mean germination times of 10.32 and 8.66 days, both longer than that of the susceptible (S) biotype. Under osmotic potential and soil burial conditions, the R_NTSR biotype exhibited lower germination and emergence rates than the S biotype. Overall, R_NTSR and R₁₉₇ biotypes displayed significant germination fitness costs under extreme environmental conditions (e.g., temperature, salt concentration, osmotic potential, and burial depth) compared with S biotypes. This study elucidates the relationship between specific herbicide target enzyme mutations and weed germination fitness, providing theoretical guidance for in-field management of resistant <em>E. phyllopogon</em>.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 2","pages":"Article 100088"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144279356","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 novel fusion positioning navigation system for greenhouse strawberry spraying robot using LiDAR and ultrasonic tags","authors":"Haoran Tan ,&nbsp;Xueguan Zhao ,&nbsp;Hao Fu ,&nbsp;Minli Yang ,&nbsp;Changyuan Zhai","doi":"10.1016/j.agrcom.2025.100087","DOIUrl":"10.1016/j.agrcom.2025.100087","url":null,"abstract":"<div><div>The autonomous navigation methodology for greenhouse spraying robots improves operational efficiency and reduces human workload. However, navigation solutions based on Light Detection and Ranging (LiDAR) Simultaneous Localization and Mapping (SLAM) still face challenges such as mapping distortion caused by crop feature similarity, gradual accumulation of positioning errors, and positioning jumps, which fail to meet the positioning accuracy demands in agricultural robotic operations. This paper proposed an autonomous navigation methodology for greenhouse spraying robots that integrated three-dimensional (3D) LiDAR and ultrasonic tags into SLAM technology. The proposed approach generated a 3D point cloud map of the greenhouse environment through loosely coupled data fusion of a 3D LiDAR and an Inertial Measurement Unit (IMU). Robot relocalization and navigation trajectory recording utilized the pre-built point cloud map and ultrasonic tags. To further enhance positioning accuracy and robustness, a tightly-coupled framework combining LiDAR and ultrasonic tags was designed, incorporating an improved Iterative Closest Point (ICP) method and Singular Value Decomposition (SVD) algorithm for precise registration positioning. The SLAM mapping trajectories and navigation performance were validated in a standardized strawberry greenhouse. Results showed that at speeds of 0.2 ​m/s, 0.4 ​m/s, and 0.6 ​m/s, the maximum average absolute pose error between the positioning trajectory and the ground truth was 0.357 ​m, with a standard deviation of 0.148 ​m. Compared with the Cartographer and Tightly-coupled Lidar Inertial Odometry <em>via</em> Smoothing and Mapping (LIO-SAM) methods, the improved method reduced the average positioning error by 32.0 ​% and 14.0 ​%, respectively. Navigation tests demonstrated that the robot's maximum lateral error was 0.045 ​m, with a maximum average lateral positioning error of 0.022 ​m. These results confirm that the robot positioning and navigation accuracy satisfies the requirements for autonomous operations in greenhouse spraying, providing a reliable solution for autonomous navigation in structured agricultural environments.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 2","pages":"Article 100087"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307041","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":"Plant disease epidemiology in the age of artificial intelligence and machine learning","authors":"Ting Xiang Neik ,&nbsp;Aria Dolatabadian ,&nbsp;Monica F. Danilevicz ,&nbsp;Shriprabha R. Upadhyaya ,&nbsp;Fangning Zhang ,&nbsp;Jacqueline Batley ,&nbsp;David Edwards","doi":"10.1016/j.agrcom.2025.100089","DOIUrl":"10.1016/j.agrcom.2025.100089","url":null,"abstract":"<div><div>Crop diseases pose a major threat to global food security, causing substantial yield losses and economic damage each year. Plant disease epidemiology studies the dynamics of plant-pathogen interactions and their impact on disease outcomes, considering environmental influences at a population level. While recent advances in artificial intelligence (AI) and machine learning (ML) have introduced innovative tools for disease prediction and management, most applications have focused on plant disease detection, classification and severity quantification using imaging technologies and sensor-based data. However, their use in plant disease epidemiology, particularly in understanding host-pathogen interactions and the ecology and evolution of the pathosystems remains limited due to the complexity of multi-scale interactions. In this review, we first propose an updated plant disease epidemiology ‘disease pyramid’ model, incorporating ecological and evolutionary components into the traditional ‘disease triangle’ model. Following this, we discuss current ML applications in plant disease epidemiology, while highlighting both challenges and opportunities. We offer insights into potential input datasets that could significantly enhance the predictability and accuracy of ML models, while also outlining future directions for this rapidly evolving field. The aim of this review is to draw the reader's attention to the knowledge gap in the application of ML in plant disease epidemiology and showcase the vast potential for expanding the scope of more in-depth and comprehensive research in this field in the future.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 2","pages":"Article 100089"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144297419","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":"Safety risks and quality control in Huangjiu: From raw materials to fermentation process","authors":"Qisi Xu ,&nbsp;Shanshan Zhao ,&nbsp;Jieyin Chen ,&nbsp;Ran Wang ,&nbsp;Kangxu Wang ,&nbsp;Xiaofeng Dai ,&nbsp;Zhiqiang Kong","doi":"10.1016/j.agrcom.2025.100085","DOIUrl":"10.1016/j.agrcom.2025.100085","url":null,"abstract":"<div><div>Huangjiu, a traditional Chinese rice wine, faces safety issues from contaminants like pesticide residues, mycotoxins, toxic ions, and sediments. These contaminants not only affect Huangjiu quality but also threaten consumers health. Pesticide residues and mycotoxins primarily originate from raw materials, whereas toxic ions, including heavy metals, mainly result from environmental pollution. Effective control of these contaminants requires enhanced agricultural practices, stricter raw materials regulation, and optimized processing techniques. Precipitation in Huangjiu, caused by protein-polyphenol complexes and oxidation, can be mitigated by optimizing the storage conditions. Despite advances in detection and control methodologies, however, challenges remain due to the lack of standardized contaminant limits. Future research should focus on developing more sensitive detection techniques, enhancing control strategies, and evaluating long-term health effects of these contaminants to ensure the sustained safety and quality of Huangjiu.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 2","pages":"Article 100085"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272214","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":"Application of gene editing technology in cattle genetic breeding","authors":"Yanan Xu ,&nbsp;Lishuang Song ,&nbsp;Zhuying Wei ,&nbsp;Guangpeng Li ,&nbsp;Lei Yang","doi":"10.1016/j.agrcom.2025.100086","DOIUrl":"10.1016/j.agrcom.2025.100086","url":null,"abstract":"<div><div>Gene editing technology is a groundbreaking biotechnology tool that presents significant opportunities and challenges in livestock breeding. It enables precise genome modification by efficiently and accurately inserting, deleting, or substituting DNA sequences. These modifications can alter phenotypic traits, thereby accelerating the breeding process. Notable progress has been made in enhancing key economically important traits in cattle, including disease resistance, meat quality, lactation performance, and sex control. This review summarizes research progress on gene editing technology in cattle genetic breeding and analyzes challenges and future directions for its development.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 2","pages":"Article 100086"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144297420","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":"Pyramiding of favorable haplotypes of major QTLs for yield-related traits to improve maize (Zea mays L.) productivity","authors":"Xiaqing Wang ,&nbsp;Ruyang Zhang ,&nbsp;Xuan Sun ,&nbsp;Tianyi Wang ,&nbsp;Jinghuan Li ,&nbsp;Dongmei Chen ,&nbsp;Jidong Wang ,&nbsp;Chunhui Li ,&nbsp;Shuai Wang ,&nbsp;Zhiyong Li ,&nbsp;Jing Li ,&nbsp;Shuaishuai Wang ,&nbsp;Quanbo Guo ,&nbsp;Shuang Li ,&nbsp;Ronghuan Wang ,&nbsp;Wei Song ,&nbsp;Jiuran Zhao","doi":"10.1016/j.agrcom.2025.100083","DOIUrl":"10.1016/j.agrcom.2025.100083","url":null,"abstract":"<div><div>Although numerous genetic loci related to maize (<em>Zea mays</em> L.) yield have been identified, their variability across germplasms shows challenges to apply them in breeding. Here, we aimed to utilized yield-related genetic loci to breed high-yielding maize varieties. We developed a recombinant inbred line (RIL) population comprising 320 lines and investigated seven ear-related and two kernel-related phenotypes in two environments. Using a linkage map (length, 2193.38 ​cM) with 2154 genetic bins, we identified 79 unique quantitative trait loci (QTLs), 37 (46.83 ​%) of which had been reported previously. Additionally, nine major QTLs and 13 pleiotropic QTLs were detected, with additive effects showed in traits of ear row number and ear length. We further analyzed lines containing one to six major QTLs associated with ear-related traits. The phenotypic values of all seven ear traits were significantly positively correlated with the number of favorable haplotypes of major QTLs (FHMQs). Materials containing multiple FHMQs exhibited higher yield, which was indicative of a high breeding value. We crossed the RIL materials with three tester lines, and the yield of the hybrids with parents containing three to four FHMQs were significantly higher than those of the hybrids with parents containing two or fewer FHMQs. This result confirmed a positive correlation between hybrid yield and the number of FHMQs in the parents. Finally, we successfully generated three new hybrid varieties by crossing three lines pyramiding three, four, and four FHMQs with the tester line Jing724. The materials generated in this study exhibit excellent breeding potential for enhancing maize yield.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 2","pages":"Article 100083"},"PeriodicalIF":0.0,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870165","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":"Micro-encapsulation of oat oil using OSA starch with varying crystal structure and particle size: A study on the encapsulation properties and in vitro release behavior","authors":"Nuo Wang ,&nbsp;Yongqiang Liang ,&nbsp;Junjuan Wang ,&nbsp;Liang Zou ,&nbsp;Xiaoyan Zhao ,&nbsp;Dan Wang ,&nbsp;Yuanyuan Zhao ,&nbsp;Zhiwen Ge ,&nbsp;Lizhen Zhang ,&nbsp;Peiyou Qin","doi":"10.1016/j.agrcom.2025.100072","DOIUrl":"10.1016/j.agrcom.2025.100072","url":null,"abstract":"<div><div>This study assessed the effect of octenyl succinic anhydride (OSA)-modified quinoa, rice, maize, potato and pea starches (Q-OSA, R-OSA, M-OSA, Pt-OSA, P-OSA, respectively) with different crystal structures and particle sizes on the morphological, physicochemical, encapsulation and oil release properties of spray-dried oat oil microcapsules. The microcapsules showed an intact particle morphology and successful encapsulation of oat oil by the wall materials. Microcapsules with small granular starch as the wall material formed spherical aggregates after spray drying. OSA modification mainly occurred in the amorphous region of the starch and thus did not change the starch crystal pattern, but it led to a decrease in the relative crystallinity (RC) of the starch. OSA modification enhanced the emulsifying capacity of starch, whereas it decreased their thermal stability (<em>p</em> ​&lt; ​0.05). Q-OSA, with A-type starch and the smallest particle size (1.48 ​μm), showed the highest degree of substitution (DS, 0.0181), the best emulsification properties (EAI, 1.336 ​m²/g), and the greatest encapsulation efficiency (EE, 90.77%). Conversely, P-OSA, with C-type starch and the second largest particle size (26.63 ​μm), smaller than Pt-OSA (B-type, 41.15 ​μm), exhibited the lowest DS (0.0091) and EE (79.66%). OSA modification reduced the oil release of microcapsules in the gastric stage, thereby achieving the targeted release of oat oil at the intestinal stage. In particular, Q-OSA was the most effective in protecting oat oil against pepsin and the strong acidic environment. This study provides guidance on the use of OSA-modified small granular starch (e.g. quinoa starch) for encapsulation and delivery systems.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 1","pages":"Article 100072"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving freshness prediction in frozen fish burgers: A comparative study of propolis additives using ANN and RSM models","authors":"Fatemeh Koushki ,&nbsp;Mohsen Mokhtarian ,&nbsp;Mohsen Dalvi-Isfahan ,&nbsp;Hongwei Xiao ,&nbsp;Weipeng Zhang","doi":"10.1016/j.agrcom.2025.100078","DOIUrl":"10.1016/j.agrcom.2025.100078","url":null,"abstract":"<div><div>The freshness of fish burgers (FBs) declines during frozen storage. Here, we assessed FB freshness using quality control indicators (QCIs), including peroxide value (PV), total volatile basic nitrogen (TVB-N), and total viable count (TVC). Two predictive models were compared, one based on response surface methodology (RSM) and the other on an artificial neural network (ANN). Their accuracy was evaluated using frozen FBs that incorporated different concentrations of freeze-dried propolis (FDP; 0%–0.4%) and stored for various durations (0, 30, 60, and 90 days). Both FDP and storage time (ST) had significant effects (<em>p</em> ​&lt; ​0.01) on the quality control indicators (QCIs) of frozen FBs, with ST having a more significant effect than FDP on the QCI changes. A numerical optimization process determined that the optimal values of ST and FDP were approximately 27 days and 0.30 ​g/[100 ​g of fish paste], respectively. The coefficient of determination (R²) values for the QCIs of frozen FBs in the ANN model were 0.9657 for PV, 0.9753 for TVB-N, and 0.9872 for TVC. These values were slightly lower in the RSM model, 0.9717 for PV, 0.9603 for TVB-N, and 0.9861 for TVC. Overall, the ANN model with a 2-13-3 topology (13 neurons in the first hidden layer) showed greater potential for prediction of FB quality during frozen storage and was found to be the more efficient method.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 1","pages":"Article 100078"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}