基于遥感的干旱监测方法研究

在全球变暖的气候背景下,近年来干旱频发且不断加剧,对人类的生产生活造成了严重的影响。目前,干旱监测已成为全球气候变化研究的一个热点课题。遥感技术以其客观、及时、经济、覆盖范围广、数据连续等优点,已被证明是干旱监测中最具前景的技术手段。本文基于遥感原理,介绍了归一化植被指数、温度状态指数、标准化降雨指数和标准化降雨蒸散指数等几种常见的干旱指数,综述了运用不同指数干旱监测的主要应用。最后针对目前研究中存在的问题,对今后研究的主要方向作出了展望。     

猪胆囊中沙门菌L型的分离培养与invA基因检测

为了解猪胆囊中沙门菌L型携带情况,在贵阳市屠宰场采集970例健康生猪的胆囊组织与胆汁标本,用常规细菌学方法和非高渗分离培养法分离沙门菌及其细菌L型,用PCR和核酸序列分析方法对稳定L型纯培养物进行沙门菌的invA基因检测。结果显示,970例生猪胆囊标本未检出沙门菌细菌型,细菌L型检出率为8.25%;80例细菌L型分离物中有50例invA检测阳性,占5.15%;占细菌L型阳性分离物62.50%。研究结果为生猪胆囊沙门菌L型感染的流行病学及其检查提供了依据。     

大豆植株分杈数自动提取算法研究

根据大豆植株分杈个数可以预估大豆的产量。为了满足现代农业预测农产品产量的需要,本文提出一种大豆植株分杈数自动提取算法,即首先将采集到的大豆植株图片进行灰度变换、滤波、阈值分割得到二值图像,再进行形态学中的闭运算操作得到大豆植株的轮廓,然后基于Zhang并行快速细化算法提取骨架,最后借助改进的角点检测算法对大豆植株的所有分杈点进行标记并自动统计分杈数,仿真结果与大豆植株实际分杈点一致。     

Detection of cigarettes and other tobacco products by giant African pouched rats (Cricetomys gambianus)

If the illicit tobacco trade were eliminated, governments could gain at least $31.3 billion a year, and more than 164,000 premature deaths a year could be avoided after 2030 (Joossens, Merriman, Ross, and Raw, 2009). Dogs have been used successfully in tobacco control programs, and there is a good chance that rats could also play an important role. In the present experiment, giant African pouched rats were trained to respond to filters that had been stored together with cigarettes (i.e., soaked) and to not respond to filters that had been soaked with noncigarette items. Generalization to untrained types of tobacco was then tested. The sensitivity of 4 rats trained on filters soaked with 1 of 7 types of cigarettes ranged from 86% to 100% (mean, 95%). There was very little evidence of generalization when the rats were tested on tobacco leaves and snuff but good evidence of generalization when the rats were tested on cigarettes that had been soaked with strong-smelling additives. These findings suggest that rats may be a valuable asset in the global effort to control illicit cigarette trade.     

香蕉枯萎病菌分子检测研究进展

香蕉枯萎病是全世界香蕉产业共同面临的毁灭性病害,但目前生产上仍缺乏适宜的抗病品种和有效的治疗措施。因此,借助快速准确的枯萎病菌检测技术及时明确病原菌以控制该病的传播和蔓延显得尤为重要。本文回顾了近年来国内外香蕉枯萎病菌分子检测技术的发展历程,归纳和总结了DNA指纹图谱、普通PCR、多重PCR、荧光定量PCR及等温扩增技术在该病菌检测中的研究进展,分析了不同检测技术的优缺点,并指出可能存在的问题和研究发展方向,为该病的分子检测技术优化和防控策略制定提供参考。     

Advances on Detection Methods for Residues of Nitrofurans in Food

Nitrofurans are broad-spectrum antibiotics which have been widely used in food animals to the prevention and treatment of gastrointestinal infections.Due to abuse of drugs by criminals,animals could produce drug-resistant strains,which reduces the role of antibiotics.Meanwhile,excessive drugs residues in food has carcinogenic,teratogenic and mutagenic effects to the human body.In this paper,the damage and the detection methods of the residues of the nitrofurans in food are surveyed.The main detection methods include high performance liquid chromatography,liquid chromatography-mass spectrometry,liquid chromatography tandem mass spectrometry,enzyme-linked immunoassay,colloidal gold immunoassay and fluorescence immunity analysis method.The research status of various detection methods are summarized and the suggestions for further research are put forward.It is expected to provide reference for future research.     

水生动物肌醇营养研究进展

肌醇是大多数水生动物保持健康、促进生长发育必需的营养素,它在细胞膜磷脂合成、神经递质传递和肝脏脂质转运等方面发挥重要作用。饲料中肌醇缺乏导致水生动物生长不良、体表充血、鳍条糜烂、体色发黑、脂肪肝等症状。本文综述了肌醇的理化性质,肌醇在水生动物营养中营养生理作用、需要量及影响因素等,同时还介绍了肌醇的来源和测定方法,并展望了肌醇在水生动物营养中进一步的研究和应用方向。     

基于卷积神经网络马铃薯叶片病害识别和病斑检测*

针对自然环境下马铃薯叶片病害识别率低和晚疫病斑定位难的问题,基于大田环境中采集的马铃薯叶片图像,首先对马铃薯叶片病害进行识别,对比AlexNet、VGG16、InceptionV3、ResNet50、MobileNet五种神经网络模型,结果表明InceptionV3模型的识别效果准确率最高,可达98.00%。其次对马铃薯叶片的晚疫病斑进行检测,提出一种改进型的CenterNet-SPP模型,该模型通过特征提取网络获取对象的中心点,再通过中心点回归获得中心点偏移量、目标大小等图像信息,训练后的模型在验证集下的mAP可达90.03%,以F₁为评价值分析对比其它目标检测模型,CenterNet-SPP模型的效果最好,准确率为94.93%,召回率为90.34%,F₁值为92.58%,平均检测一张图像耗时0.10 s。为自然环境下马铃薯叶片病害识别和检测提供较为全面的深度学习算法和模型研究基础。     

间接免疫荧光染色检测鸭源副黏病毒及在鸭体内的抗原定位

以抗新城疫病毒F蛋白的单克隆抗体为一抗,建立了间接免疫荧光染色法(IFA)检测石蜡切片中鸭副黏病毒(DPMV)的方法。以建立的IFA对DPMV人工感染鸭的各组织器官进行检测,结果显示:各组织器官均能检测到DPMV,但不同时间取样,阳性信号分布的器官不同。脾脏、胸腺、法氏囊、肠道、肝脏、肺脏DPMV的阳性检出率较高,表明这些器官为DPMV的主要靶器官。在所检测的阳性组织中,病毒抗原分布在细胞浆中。IFA检测石蜡切片中的DPMV具有直观、特异性强的优点,是对DPMV进行检测和抗原定位的良好方法。