Agriculture Communications最新文献_第4页

A novel fusion positioning navigation system for greenhouse strawberry spraying robot using LiDAR and ultrasonic tags 基于激光雷达和超声波标签的温室草莓喷洒机器人融合定位导航系统

Agriculture Communications

Pub Date : 2025-06-01 DOI: 10.1016/j.agrcom.2025.100087

Haoran Tan , Xueguan Zhao , Hao Fu , Minli Yang , Changyuan Zhai

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 via 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.

温室喷洒机器人自主导航方法提高了作业效率，减少了人工工作量。然而，基于LiDAR (Light Detection and Ranging) Simultaneous Localization and Mapping （SLAM）的导航解决方案仍然面临着农作物特征相似性导致的制图失真、定位误差逐渐积累、定位跳跃等挑战，无法满足农业机器人作业对定位精度的要求。提出了一种将三维激光雷达和超声波标签集成到SLAM技术中的温室喷雾机器人自主导航方法。该方法通过三维激光雷达和惯性测量单元（IMU）的松散耦合数据融合，生成温室环境的三维点云图。机器人重新定位和导航轨迹记录利用预先建立的点云图和超声波标签。为了进一步提高定位精度和鲁棒性，设计了激光雷达与超声标签的紧密耦合框架，采用改进的迭代最近点（ICP）方法和奇异值分解（SVD）算法进行精确配准定位。在标准化草莓温室中验证了SLAM的测绘轨迹和导航性能。结果表明，在速度为0.2 m/s、0.4 m/s和0.6 m/s时，定位轨迹与地面真值的最大平均绝对位姿误差为0.357 m，标准差为0.148 m。与制图师和紧密耦合激光雷达惯性测距法（Lidar Inertial Odometry via Smoothing and Mapping, Lidar - sam）相比，改进方法的平均定位误差分别降低了32.0%和14.0%。导航测试表明，机器人的最大横向定位误差为0.045 m，最大平均横向定位误差为0.022 m。这些结果证实了机器人定位和导航精度满足温室喷洒自主作业的要求，为结构化农业环境下的自主导航提供了可靠的解决方案。

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引用次数: 0

Safety risks and quality control in Huangjiu: From raw materials to fermentation process 黄酒的安全风险与质量控制：从原料到发酵过程

Agriculture Communications

Pub Date : 2025-06-01 DOI: 10.1016/j.agrcom.2025.100085

Qisi Xu , Shanshan Zhao , Jieyin Chen , Ran Wang , Kangxu Wang , Xiaofeng Dai , Zhiqiang Kong

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.

黄酒是一种传统的中国黄酒，面临着农药残留、霉菌毒素、有毒离子和沉积物等污染物的安全问题。这些污染物不仅影响黄酒的质量，也威胁着消费者的健康。农药残留和真菌毒素主要来源于原材料，而重金属等有毒离子主要来源于环境污染。有效控制这些污染物需要加强农业实践，更严格的原材料监管和优化的加工技术。黄酒中蛋白-多酚复合物和氧化引起的沉淀可以通过优化储存条件来缓解。然而，尽管检测和控制方法取得了进展，但由于缺乏标准化的污染物限制，挑战仍然存在。未来的研究应着眼于开发更灵敏的检测技术，加强控制策略，并评估这些污染物的长期健康影响，以确保黄酒的持续安全和质量。

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引用次数: 0

Application of gene editing technology in cattle genetic breeding 基因编辑技术在牛遗传育种中的应用

Agriculture Communications

Pub Date : 2025-06-01 DOI: 10.1016/j.agrcom.2025.100086

Yanan Xu , Lishuang Song , Zhuying Wei , Guangpeng Li , Lei Yang

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.

基因编辑技术是一项突破性的生物技术工具，为牲畜育种带来了重大机遇和挑战。它可以通过有效和准确地插入、删除或替换DNA序列来实现精确的基因组修饰。这些修饰可以改变表型性状，从而加速育种过程。在提高牛的重要经济性状方面取得了显著进展，包括抗病性、肉质、泌乳性能和性别控制。本文综述了基因编辑技术在牛遗传育种中的研究进展，分析了其面临的挑战和未来发展方向。

引用次数: 0

Plant disease epidemiology in the age of artificial intelligence and machine learning 人工智能和机器学习时代的植物病害流行病学

Agriculture Communications

Pub Date : 2025-06-01 DOI: 10.1016/j.agrcom.2025.100089

Ting Xiang Neik , Aria Dolatabadian , Monica F. Danilevicz , Shriprabha R. Upadhyaya , Fangning Zhang , Jacqueline Batley , David Edwards

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.

作物病害对全球粮食安全构成重大威胁，每年造成大量产量损失和经济损失。植物疾病流行病学研究植物与病原体相互作用的动态及其对疾病结果的影响，考虑到种群水平上的环境影响。虽然人工智能（AI）和机器学习（ML）的最新进展为疾病预测和管理引入了创新工具，但大多数应用都集中在利用成像技术和基于传感器的数据进行植物疾病检测、分类和严重程度量化。然而，由于多尺度相互作用的复杂性，它们在植物疾病流行病学中的应用，特别是在了解宿主-病原体相互作用以及病理系统的生态学和进化方面的应用仍然有限。在这篇综述中，我们首先提出了一个更新的植物疾病流行病学“疾病金字塔”模型，将生态和进化成分纳入传统的“疾病三角”模型。在此之后，我们讨论了当前ML在植物疾病流行病学中的应用，同时强调了挑战和机遇。我们提供了对潜在输入数据集的见解，这些数据集可以显着提高机器学习模型的可预测性和准确性，同时也概述了这个快速发展领域的未来方向。这篇综述的目的是引起读者对ML在植物疾病流行病学应用中的知识差距的关注，并展示未来在该领域扩大更深入和全面研究范围的巨大潜力。

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引用次数: 0

Pyramiding of favorable haplotypes of major QTLs for yield-related traits to improve maize (Zea mays L.) productivity 玉米产量相关性状主要qtl有利单倍型的金字塔化研究

Agriculture Communications

Pub Date : 2025-04-05 DOI: 10.1016/j.agrcom.2025.100083

Xiaqing Wang , Ruyang Zhang , Xuan Sun , Tianyi Wang , Jinghuan Li , Dongmei Chen , Jidong Wang , Chunhui Li , Shuai Wang , Zhiyong Li , Jing Li , Shuaishuai Wang , Quanbo Guo , Shuang Li , Ronghuan Wang , Wei Song , Jiuran Zhao

Although numerous genetic loci related to maize (Zea mays 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.

尽管已经确定了许多与玉米产量相关的遗传位点，但它们在种质间的可变性表明了将其应用于育种的挑战。本研究旨在利用产量相关基因座培育玉米高产品种。我们构建了一个包含320个系的重组自交系（RIL）群体，并在两种环境下研究了7种与穗相关的表型和2种与籽粒相关的表型。利用2154个遗传箱的连锁图谱（2193.38 cM），鉴定出79个独特的数量性状位点（qtl），其中37个（46.83%）为文献报道。另外，检测到9个主效qtl和13个多效qtl，在穗行数和穗长性状上表现出加性效应。我们进一步分析了含有1 - 6个与耳朵相关性状相关的主要qtl的品系。7个穗部性状的表型值与主要qtl的有利单倍型数呈显著正相关。含有多个FHMQs的材料产量较高，具有较高的育种价值。我们用3个测试系对RIL材料进行杂交，发现含有3 ~ 4个fhmq的亲本的产量显著高于含有2个或更少fhmq的亲本的产量。这一结果证实了杂种产量与亲本fhmq数量呈正相关。最后，我们将3、4、4个FHMQs与测试系Jing724杂交，成功地获得了3个新杂交种。本研究产生的材料在提高玉米产量方面具有良好的育种潜力。

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引用次数: 0

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 不同晶体结构和粒径的OSA淀粉对燕麦油的微胶囊化：胶囊化特性和体外释放行为的研究

Agriculture Communications

Pub Date : 2025-03-01 DOI: 10.1016/j.agrcom.2025.100072

Nuo Wang , Yongqiang Liang , Junjuan Wang , Liang Zou , Xiaoyan Zhao , Dan Wang , Yuanyuan Zhao , Zhiwen Ge , Lizhen Zhang , Peiyou Qin

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 (p < 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.

本研究考察了不同晶体结构和粒径的辛烯基丁二酸酐（OSA）改性藜麦、水稻、玉米、马铃薯和豌豆淀粉（Q-OSA、R-OSA、M-OSA、Pt-OSA、P-OSA）对喷雾干燥燕麦油微胶囊的形态、理化、包封和释油性能的影响。所制备的微胶囊具有完整的颗粒形态，并成功地被壁材包封。以小颗粒淀粉为壁材的微胶囊经喷雾干燥后形成球形聚集体。OSA改性主要发生在淀粉的无定形区，因此没有改变淀粉的晶型，但导致淀粉的相对结晶度（RC）降低。OSA改性提高了淀粉的乳化能力，但降低了淀粉的热稳定性(p <；0.05)。粒径最小（1.48 μm）的a型淀粉Q-OSA取代度最高（DS为0.0181），乳化性能最佳（EAI为1.336 m2/g），包封效率最高（EE为90.77%）。相反，P-OSA的DS（0.0091）和EE（79.66%）最低，P-OSA为c型淀粉，粒径第二大（26.63 μm），小于Pt-OSA （b型，41.15 μm）。OSA修饰减少了微胶囊在胃期的油脂释放，从而实现了燕麦油在肠期的靶向释放。其中，Q-OSA对胃蛋白酶和强酸性环境的保护效果最好。本研究为osa改性小颗粒淀粉（如藜麦淀粉）用于封装和输送系统提供了指导。

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引用次数: 0

Changes of gene content in four crop species during domestication and breeding 四种作物在驯化和育种过程中基因含量的变化

Agriculture Communications

Pub Date : 2025-03-01 DOI: 10.1016/j.agrcom.2025.100077

Jakob Petereit , Philipp E. Bayer , Cassandria G. Tay Fernandez , Jacqueline Batley , David Edwards

引用次数: 0

Integration of near-infrared spectroscopy and comparative principal component analysis for flour adulteration identification 近红外光谱与比较主成分分析相结合用于面粉掺假鉴定

Agriculture Communications

Pub Date : 2025-03-01 DOI: 10.1016/j.agrcom.2025.100073

Jinchao Qu , Chu Zhang , Shichen Gao , Hongwu Tian , Daming Dong

Flour, as a critical component of the dietary structure, its quality and safety assurance is of great significance. The combination of near-infrared (NIR) spectroscopy and chemometrics was proposed to identify the adulterated flour in three different brands. This study obtained the adulterated samples with different concentrations of talcum powder, and measured 20 spectral data corresponding to each concentration. Comparative Principal Component Analysis (cPCA) has a constraint effect on the background dataset and can reduce the interference of background factors. The results showed that the cPCA algorithm successfully eliminated brand-related factors when identifying adulterated flour, and achieved adulterated discrimination with a concentration as low as 0.3%. This study presents a practical approach for identifying flour adulteration, effectively tackling the challenge of background factors on feature extraction in data dimensionality reduction models. By addressing this issue, it paves the way for developing more accurate and reliable adulteration detection models.

面粉作为膳食结构的重要组成部分，其质量安全保障具有重要意义。采用近红外光谱法和化学计量学相结合的方法对三种不同品牌的掺假面粉进行了鉴别。本研究获得了不同浓度滑石粉的掺假样品，并测量了每种浓度对应的20个光谱数据。比较主成分分析（cPCA）对背景数据集具有约束作用，可以减少背景因素的干扰。结果表明，cPCA算法在识别掺假面粉时成功地消除了品牌相关因素，并实现了浓度低至0.3%的掺假鉴别。本研究提出了一种实用的面粉掺假识别方法，有效解决了数据降维模型中背景因素对特征提取的挑战。通过解决这个问题，它为开发更准确和可靠的掺假检测模型铺平了道路。

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引用次数: 0

Improving freshness prediction in frozen fish burgers: A comparative study of propolis additives using ANN and RSM models 改进冷冻鱼汉堡新鲜度预测：蜂胶添加剂的ANN和RSM模型的比较研究

Agriculture Communications

Pub Date : 2025-03-01 DOI: 10.1016/j.agrcom.2025.100078

Fatemeh Koushki , Mohsen Mokhtarian , Mohsen Dalvi-Isfahan , Hongwei Xiao , Weipeng Zhang

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 (p < 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.

鱼汉堡（FBs）的新鲜度在冷冻储存期间下降。在这里，我们使用质量控制指标（qci）来评估FB新鲜度，包括过氧化值（PV）、总挥发性碱性氮（TVB-N）和总活菌数（TVC）。比较了两种预测模型，一种是基于响应面法（RSM），另一种是基于人工神经网络（ANN）。使用含有不同浓度冻干蜂胶(FDP；0%-0.4%)，并存储不同的持续时间（0、30、60和90天）。FDP和储存时间（ST）均有显著影响(p <；0.01)对冷冻FBs质量控制指标（QCI）的影响，其中ST对QCI变化的影响比FDP更显著。数值优化过程确定ST和FDP的最佳值分别约为27天和0.30 g/[100 g鱼膏]。在人工神经网络模型中，冷冻FBs qci的决定系数（R2）值分别为：PV为0.9657，TVB-N为0.9753，TVC为0.9872。这些值在RSM模型中略低，PV为0.9717，TVB-N为0.9603，TVC为0.9861。总体而言，具有2-13-3拓扑结构的ANN模型（第一隐藏层有13个神经元）显示出更大的潜力来预测冷冻储存期间FB的质量，并且被发现是更有效的方法。

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引用次数: 0

Effects of photoperiod on gonad development in female Pacific abalone (Haliotis discus hannai) 光周期对雌性太平洋鲍鱼性腺发育的影响

Agriculture Communications

Pub Date : 2025-03-01 DOI: 10.1016/j.agrcom.2025.100076

Qi Luo , Yuhang Zhao , Mo Zhang , Huiyang Huang , Caihuan Ke , Xiaolong Gao

Photoperiod has an impact on the growth and reproduction of marine species. This study assessed whether photoperiod affected the gonad development of Pacific abalone (Haliotis discus hannai), a commercially valuable marine mollusk. Abalone was cultured under three different photoperiodic conditions, 12L:12D (NL group), 18L:6D (LL group), and 24L:0D (WL group) while keeping other conditions constant. There were no significant differences in the survival rates of the three groups. However, compared to the other two groups, the 18L:6D photoperiod indicated a significantly higher gonad index (p < 0.05). The concentrations of 17β-estradiol (E2) and testosterone (T) were also significantly higher in the LL group (p < 0.05). Metabolomics analysis revealed that prostaglandins (PGs), trenbolone acetate (TBA), adenylosuccinic acid, and adenosine 5′-monophosphate were key metabolic indicators essential for fostering gonad development. Quantitative analysis of fatty acid revealed 39 fatty acids in the LL group and lower in the NL group, with arachidonic acid (ARA) being the highest in the LL group. Furthermore, it was found that the metabolite (PG) and genes (PTGR1, COI) involved in the ARA metabolic pathway were significantly highly expressed (p < 0.05) in the LL group, indicating that gonad development in female abalone depended on the ARA metabolic pathway. This study provides a novel understanding of the metabolic pathways involved in the photoperiodic regulation of gonad development in abalone. Furthermore, it enhances the knowledge of abalone reproductive biology and offers scientific data for developing a key technology to regulate rapid and synchronized gonad development in abalone.

光周期对海洋物种的生长和繁殖有影响。本研究评估了光周期是否影响太平洋鲍鱼（Haliotis discus hannai）的性腺发育，这是一种具有商业价值的海洋软体动物。鲍鱼在12L:12D （NL组）、18L:6D （LL组）和24L:0D （WL组）三种不同的光周期条件下培养，其他条件保持不变。三组患者生存率无显著差异。然而，与其他两组相比，18L:6D光周期的性腺指数(p <；0.05)。17β-雌二醇（E2）和睾酮(T)浓度在LL组也显著升高(p <；0.05)。代谢组学分析显示，前列腺素（PGs）、醋酸trenbolone （TBA）、腺苷丁二酸和腺苷5′-单磷酸是促进性腺发育所必需的关键代谢指标。脂肪酸定量分析显示LL组有39种脂肪酸，NL组较少，其中花生四烯酸（ARA）在LL组中含量最高。此外，我们还发现，参与ARA代谢途径的代谢物（PG）和基因（PTGR1， COI）显著高表达(p <；0.05)，说明雌鲍鱼的性腺发育依赖于ARA代谢途径。本研究为鲍鱼性腺发育光周期调节的代谢途径提供了新的认识。进一步提高了对鲍鱼生殖生物学的认识，为开发调控鲍鱼性腺快速同步发育的关键技术提供了科学依据。

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引用次数: 0