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1.
Fungal propagules existing in the natural environment can easily be transmitted to the human body, mostly by inhalation of contaminated air or direct contact onto the skin, nails, and mucosa. Fungal infections in humans are, as compared to viral and bacterial infections, rarely serious (life-threatening) unless the immune system is weakened. Because azole fungicides (demethylation inhibitors, DMIs) are among the most important antifungal compounds used broadly in human and animal medicine as well as in agriculture and material protection, fungal propagules may come into contact with azoles almost everywhere, presenting a potential “crossover-use-pattern” and “cross-contamination-risk” for resistant propagules in all areas. A “hot-spot” in terms of the emergence of azole resistance in a fungal species is defined as a habitat in which the species is actively propagating and exposed to a fungicidally effective azole at available concentrations high enough to select for resistant individuals, potentially multiplying and spreading to other habitats. Intrinsic antifungal resistance may exist in less sensitive or insensitive species independent of previous exposure to antifungal compounds, whereas acquired antifungal resistance can evolve if triggered by the exposure of an originally sensitive species (or population) to agricultural or medical antifungal agents, resulting in the selection of resistant individuals. The origin and risks of these developments in medical settings and the wider environment are elucidated for the most relevant life-threatening fungal human pathogens, including several species of Cryptococcus, Candida, Pneumocystis, Aspergillus, Histoplasma, Coccidioides, Rhizopus, Mucor, Fusarium, and Scedosporium.  相似文献   
2.
Fungicide sprays on soybean in Brazil have contributed to the selection of less sensitive isolates of Corynespora cassiicola. We collected 59 isolates of Ccassiicola from three Brazilian states and two isolates from Paraguay. We investigated their EC50 to quinone outside inhibitors (QoI) and methyl benzimidazole carbamate (MBC), any cross-resistance to compounds within QoI and MBC groups, and characterized the polymorphisms in their cytb and β-tubulin genes. Local associations of polymorphisms identified in each gene were statistically correlated with assays results. In total, 79% and 74% of the isolates were classified as resistant to QoI and MBC fungicides, respectively. There was positive cross-resistance to active ingredients within QoI and MBC groups. For QoI, all isolates presented heteroplasmy in G143A of cytb gene; the mutations F129L and G137R were not found. For MBC, 63% of isolates possessed E198A and 21% possessed F200Y mutations, associated with reduced control by MBC fungicides. Heteroplasmy was identified in two and one isolates from Brazil with E198A and F200Y mutations, respectively. The resistance factor for isolates with E198A (10.9) was statistically similar to the isolate with F200Y (8.8) mutation. Genic association analysis of the in vitro assays using discriminatory doses proved them to be accurate. Reduced sensitivity of Ccassiicola to QoI and MBC was also identified in isolates from Paraguay and resistance to QoI and MBC was widely present in Ccassiicola isolates from the main soybean-producing states in Brazil. Thus, integrated management measures should be adopted to manage soybean target spot in these countries.  相似文献   
3.
A new leaf blight disease of oat (Avena sativa) was observed in many oat fields in Huan county, Gansu Province of China, during 2018–2019. Typical symptoms appeared as yellow necrotic and water-soaked lesions. The lesions developed from tip to base of leaves and eventually resulted in leaf withering. Disease incidence on plants (leaves) was approximately 36%–100%. A gram-negative bacterium was isolated from the necrotic lesions of all samples. Coupled with multigene sequence (16S rRNA and gyrB gene) analyses, Biolog Gen III MicroStation, morphological, physiological, and biochemical characterization identified the pathogen as Pantoea agglomerans. Pathogenicity tests by wounding and injection inoculations in the greenhouse established that P. agglomerans could induce typical symptoms as observed in the field. The infection rate in leaves was 44%–71% after 14 days. In addition, host range tests showed that P. agglomerans could infect other plant hosts, including Sorghum sudanense, Medicago sativa, Fagopyrum esculentum, Setaria italica, and Zea mays. This is the first report of P. agglomerans causing bacterial leaf blight disease (LBD) on oat in China. The current study can provide a foundation for the prevention of this disease in the future.  相似文献   
4.
Septoria leaf spot, caused by Septoria lycopersici, is considered one of the most important diseases of tomato in Brazil. Despite its importance, the disease agent is still poorly studied. Septoria isolates collected from different production regions of Brazil were characterized by molecular, morphological, and pathogenic methods. A set of 104 isolates was sequenced for the DNA Tub, Cal, and EF1-α loci. Ten isolates were selected, according to geographical region of origin and type of leaf lesion (typical or atypical), for morphological characterization and for evaluation of aggressiveness on tomato cultivar Santa Clara. To evaluate the pathogen host range, cultivated and wild Solanaceae plants were inoculated with four selected isolates. The results showed that all isolates grouped with the type isolate of S. lycopersici in maximum likelihood and Bayesian inference trees. The isolates were morphologically similar. All isolates selected for pathogenicity testing on tomato were able to induce typical symptoms of the disease, but differed in their aggressiveness. A total of eight species of Solanaceae were also identified as potential alternative hosts for S. lycopersici. This information will provide a more accurate assessment of the risks involved with the introduction of new crops, especially of the genus Solanum, in areas where the species is already present. In addition, it will provide the basis for the establishment of more efficient methods in the management of Septoria leaf spot of tomatoes in natural conditions and in the different production systems.  相似文献   
5.
Coriander (Coriandrum sativum) is a medicinal and aromatic plant. From November 2017 to March 2020, leaf blight disease on coriander plants was frequently observed in commercial coriander cultivated fields of Haikou, Sanya and Wanning City, Hainan Province, China. Leaves with symptoms showed irregular chlorotic to dark brown necrotic lesions at the edges of leaves, and the leaves were curled and covered with a layer of grey mould. Based on morphological characteristics, pathogenicity testing and concatenated sequences of the internal transcribed spacer region (ITS), actin (ACT) and translation elongation factor-1α (TEF) genes, the pathogen was identified as Cladosporium tenuissimum. Untargeted metabolomes of the coriander leaves were analysed by gas chromatography-mass spectrometry (GC-MS). Score plots of principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) showed clear discrimination between infected and control treatments. The levels of l -threonic acid, hexadecanoic acid and myo-inositol in the control treatment were 3.45-, 1.81- and 2.44-fold, respectively, those in the infected treatment. To our knowledge, this is the first report of C. tenuissimum causing coriander leaf blight disease in China. Furthermore, this study indicates that C. tenuissimum infection of coriander causes a significant decrease in l -threonic acid, hexadecanoic acid and myo-inositol levels, indicating that these metabolites may be involved in the plant's response to coriander leaf blight disease.  相似文献   
6.
基于机器学习的棉花叶面积指数监测   总被引:2,自引:1,他引:1  
为实现基于机器学习和无人机高光谱影像进行棉花全生育期叶面积指数(Leaf Area Index, LAI)监测,该研究基于大田种植滴灌棉花,在不同品种及不同施氮处理的小区试验基础上,对无人机获取的高光谱数据分别采用一阶导(First Derivative, FDR)、二阶导(Second Derivative, SDR)、SG(Savitzky-Golay)平滑和多元散射校正(Multiplicative Scatter Correction, MSC)进行预处理,并结合Pearson相关系数法、连续投影(Successive Projections Algorithm, SPA)、随机蛙跳(Shuffled Frog Leaping Algorithm, SFLA)和竞争性自适应重加权(Competitive Adaptive Reweighting, CARS)筛选敏感波段,将筛选出的波段,使用偏最小二乘回归(Partial Least Squares Regression, PLSR)、支持向量回归(Support Vector Regression, SVR)和随机森林回归(Random Forest Regression, RFR)3种机器学习算法构建棉花LAI监测模型。结果表明:棉花冠层LAI敏感响应波段集中在可见光(400~780 nm)和近红外(900 nm之后)波段;对比3种机器学习算法,各预处理下RFR建立的LAI监测模型精度最高,稳定性最好,其中以FDR-SFLA-RFR模型最佳,在建模集的决定系数为0.74,均方根误差为1.648 3,相对均方根误差为26.39%;验证集的决定系数、均方根误差分别为0.67和1.622 0,相对均方根误差为25.97%。该研究基于无人机获取的棉花冠层光谱反射率,从不同光谱预处理、波段筛选及建模方法建立的模型中筛选出最佳估算模型用于棉花全生育期LAI监测,研究结果可为棉花大田精准管理及变量施肥提供依据。  相似文献   
7.
基于迁移学习的葡萄叶片病害识别及移动端应用   总被引:7,自引:6,他引:1  
苏仕芳  乔焰  饶元 《农业工程学报》2021,37(10):127-134
为解决已有的卷积神经网络在小样本葡萄病害叶片识别的问题中出现的收敛速度慢,易产生过拟合现象等问题,提出了一种葡萄叶片病害识别模型(Grape-VGG-16,GV),并针对该模型提出基于迁移学习的模型训练方式。将VGG-16网络在ImageNet图像数据集上学习的知识迁移到本模型中,并设计全新的全连接层。对收集到的葡萄叶片图像使用数据增强技术扩充数据集。基于扩充前后的数据集,对全新学习、训练全连接层的迁移学习、训练最后一个卷积层和全连接层的迁移学习3种学习方式进行了试验。试验结果表明,1)迁移学习的2种训练方式相比于全新学习准确率增加了10~13个百分点,并在仅训练25轮达到收敛,该方法有效提升了模型分类性能,缩短模型的收敛时间;2)数据扩充有助于增加数据的多样性,并随着训练次数的增加,训练与测试准确率同步上升,有效缓解了过拟合现象。在迁移学习结合数据扩充的方式下,所构建的葡萄叶片病害识别模型(GV)对葡萄叶片病害的识别准确率能达到96.48%,对健康叶、褐斑病、轮斑病和黑腐病的识别准确率分别达到98.04%、98.04%、95.83%和94.00%。最后,将最终的研究模型部署到移动端,实现了田间葡萄叶片病害的智能检测,为葡萄病害的智能诊断提供参考。  相似文献   
8.
利用无人机多光谱估算小麦叶面积指数和叶绿素含量   总被引:6,自引:4,他引:2  
利用无人机遥感的方式进行农作物长势监测是目前精准农业、智慧农业发展的重要方向,为了探究无人机多光谱反演小麦叶面积指数(Leaf Area Index,LAI)和叶绿素含量的模型估算潜力,该研究在3个飞行高度(30、60、120 m)采集多光谱影像,通过使用全波段差值光谱指数(Difference Spectral Index,DSI)、比值光谱指数(Ratio Spectral Index,RSI)、归一化光谱指数(Normalized Spectral Index,NDSI)和经验植被指数与地面实测数据进行相关性分析,获得不同高度下的光谱指数与LAI和叶绿素含量的关系模型及其决定系数,以决定系数为依据分别构建多元逐步回归、偏最小二乘回归和人工神经网络模型,分析不同飞行高度无人机多光谱反演小麦冠层LAI和叶绿素含量SPAD(Soil and Plant Analyzer Development)值的精度。结果表明:1)30 m高度下,绿-红比值光谱指数与小麦LAI的相关性最高,相关系数为0.84;60 m高度下,红-蓝比值光谱指数与小麦叶绿素含量的相关性最高,相关系数为0.68;2)在60 m高度下,经验植被指数与小麦LAI和叶绿素含量的相关性较好,最大相关系数分别为0.77和0.50;3)利用偏最小二乘回归反演小麦LAI的精度最高,决定系数为0.732,均方根误差为0.055;利用人工神经网络模型反演小麦叶绿素含量的精度最高,决定系数为0.804,均方根误差0.135。该研究成果可为基于无人机平台的高通量作物监测提供理论依据,并为筛选无人机多光谱波段实现作物长势参数快速估测提供应用参考。  相似文献   
9.
  【目的】  探究长期不同施肥对土壤有机硫矿化量、动力学特征和酶活性的影响,揭示玉米–大豆轮作体系中棕壤有机硫矿化特征及其主要驱动因子。  【方法】  沈阳农业大学长期定位试验于1979年建立,为玉米–玉米–大豆 (一年一熟) 轮作模式。试验设置15个处理,本研究选取了其中7个处理,分别为:CK (不施肥)、N1 (低量化学氮肥)、N2 (高量化学氮肥)、N1P (低量化学氮肥+磷肥)、N1PK (低量化学氮肥+磷钾肥)、M1 (低量有机肥) 和M1N1PK (低量有机肥配施化学氮磷钾肥)。不同作物有机肥投入量相同,氮磷钾化肥投入量不同。选取2014和2015年的耕层 (0—20 cm) 土壤样品,测定土壤基本理化指标 (pH、有机碳和全氮含量)、有机硫矿化量、土壤中性蛋白酶及土壤芳基硫酸酯酶活性。同时,进行矿化培养试验,分析不同温度下有机硫矿化特征。于玉米、大豆收获后测定产量。  【结果】  长期施肥处理均提高了土壤有机硫的矿化量,7个处理总体表现为M1N1PK > M1 > N1PK、N1、N2 > N1P > CK。单施化肥条件下,增加氮肥用量对有机硫矿化作用无显著影响;单施有机肥或有机肥与化肥配施均可明显促进土壤有机硫矿化。与CK相比,M1N1PK处理有机硫矿化量提升幅度最大,提高了57.30%。利用一级动力学方程进行拟合,长期施肥均提高了有机硫矿化势,无机肥处理 (N1、N2、N1P和N1PK) 的提升幅度均较低,提升效果最优的是M1处理,比CK提高了45.27%。环境温度和作物种类均显著影响有机硫矿化量和矿化势,随着环境温度的升高,有机硫的矿化量和矿化势均明显增加;玉米种植季有机硫矿化量和矿化势均高于大豆种植季。土壤中性蛋白酶活性和芳基硫酸酯酶活性均以M1N1PK处理最高,与单施化肥相比分别提高了96%~220%、264%~986%。有机硫累积总矿化量在种植玉米的年份与土壤有机碳 (r = 0.7693) 含量和全氮 (r = 0.7554) 含量呈显著正相关 (P < 0.05)。  【结论】  土壤的有机碳和全氮含量是棕壤有机硫矿化的主要驱动力。只施用无机肥对土壤有机硫的矿化没有显著影响,而有机无机肥配合施用可显著提高土壤芳基硫酸酯酶、中性蛋白酶活性,进而提高有机硫矿化势和矿化量。玉米因其较高的生物量也成为有机硫矿化的主要驱动力。  相似文献   
10.
紫糙米口感较粗糙,营养素有进一步提升空间。本研究以紫米稻谷为原料,研究浸泡及培养工艺,制备富含γ-氨基丁酸(GABA)和花色苷的发芽紫糙米,改善了口感。单因素实验结果表明,浸泡温度、浸泡时间、培养温度和培养时间对发芽紫糙米中GABA和花色苷含量有显著影响,再以GABA和花色苷含量综合评分为指标,经正交实验得到发芽工艺参数;在该参数条件下,进一步研究金属离子、谷氨酸钠及谷氨酸(L-Glu)对发芽紫糙米GABA和花色苷含量的影响,并通过响应面实验优化发芽工艺,得到最佳工艺为将紫米稻谷置于Ca2+浓度为61.05 mmol/L、L-Glu浓度为20.42 mmol/L的溶液中,30 ℃浸泡24 h,沥水后30 ℃培养30 h。此优化工艺下发芽紫糙米GABA含量达到180.27 μg/g,是未发芽紫糙米的20.49倍,花色苷含量为1233.88 μg/g,保留率是未发芽紫糙米的87.75%。  相似文献   
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