白三叶草一种叶斑病病原菌的分离鉴定

明确在山东省聊城市白三叶草上发现的一种叶斑病的病原菌,以期为该病害的防控提供参考.2019年采集山东省聊城市东昌府区具有叶斑病的白三叶叶片,利用组织分离法分离病原菌,并依据柯赫式法则验证致病性.在形态学观察的基础上,对病原菌进行分子生物学鉴定,构建系统发育树,分析其遗传多样性.从发病叶片中分离得到病原菌(标记为SY1)...     

棉花黄萎菌拮抗菌BDT-25的鉴定及抗菌蛋白产生条件研究

拮抗细菌BDT_25是从根际土壤中分离到的一株对棉花黄萎病菌具有强烈抑制作用的芽孢杆菌。经生理生化特征的鉴定,证明BDT_25菌株为枯草芽孢杆菌(Bacillus subtilis)。此外,该菌株还对棉花枯萎病菌、棉花立枯病菌等10种其他病原真菌的生长具有显著的抑制作用,为一株广谱拮抗细菌菌株。通过对BDT_25菌株培养条件的研究发现,采用NB液体培养基,28℃,170 r/min培养48 h所得发酵液对棉花黄萎病菌的抑制作用最强。其发酵液经硫酸铵沉淀粗提到对棉花黄萎病菌具有抑制作用的提取物,进一步实验表明,该拮抗物质对热和多种蛋白酶敏感,证实其为抗菌蛋白。     

鲜蛋中沙门氏菌的分离鉴定及生长模型分析

为了了解鲜蛋中沙门氏菌的污染情况及其生理特性,按照国家标准中蛋制品的检验程序,对养鸡场及市场共50个鸡蛋样品中的沙门氏菌进行分离,并对分离出的可疑菌株做生理生化鉴定试验,根据试验结果分析,确定其中1株为沙门氏菌,对其在温度37℃下的生长曲线进行数学分析,得出最适生长模型为MMF模型。     

The use of RAPD technique for the identification and classification of Pisum sativum L. genotypes

Summary The genomic DNAs of 42 Pisum sativum genotypes, representing four wild and cultivated subspecies were used as templates in RAPD reactions. Amplification with eight decamer primers generated 149 polymorphic products. Genetic similarities of RAPD profiles were estimated via a coefficient of Jaccard and then the data were processed by cluster analysis (UPGMA). Each genotype was clearly identified and separated from the others. Our results show that RAPD technology is a rapid, precise and sensitive technique for identification of pea genotypes. However, the phylogenetic relationships within the Pisum sativum, which we tested by bootstrap analysis (Wagner parsimony), must be interpreted with caution.     

理化诱变小豆京农6号突变体的鉴定

选用小豆品种京农6号种子,分别采用甲基磺酸乙酯(EMS)(0.5%、0.9%和1.4%处理12h和24h)、电子束(100、300、600Gy)、60Co-γ(400Gy)诱变处理,将处理后的种子种于大田,鉴定后代植株性状的变异。观察表明,EMS诱变的变异类型最丰富、60Co-γ射线次之、电子束产生的变异类型较单一。EMS处理小豆以浓度0.5%和0.9%处理24h为宜;0.5%EMS处理的粒色和荚色变异突出,有鲜红、黄白、绿白粒色和黑荚、褐荚、黑褐荚变异;0.9%处理的叶形变异突出,有鸡爪叶、剑叶、肾形叶、小密叶等突变类型;电子束诱变后,M2变异率分别为4.09%、3.64%和2.22%。400Gy60Co-γ射线处理种子,后代变异率为7.23%。通过两年的鉴定筛选,获得937个EMS诱变M3代株系,934个60Co-γ射线和电子束诱变M2代株系,已得到株高、叶形、叶色、粒形、粒色、荚色、无分枝、多分枝、叶簇生、分枝簇生、光叶、蔓生、有限结荚习性、株型松散、育性、成熟特性等突变体材料1490份。本研究为小豆基因遗传分析、基因定位与克隆及其进一步的基因功能分析奠定了基础,为小豆育种提供了重要的材料。     

小麦根腐病菌鉴定及其生物学特性测定

分离鉴定小麦根腐病菌，并对其进行生物学特性测定，结果表明，小麦根腐病菌属于半知菌亚门平脐蠕孢属麦根腐平脐蠕孢（Bipolaris sorokiniana(Sacc.)Shoemakey)。该菌生长的最适温度为30℃，最适PH值为7，最适培养基为PDA，60℃5min为致死温度。分生孢子在水滴中才能萌发，萌发的最适PH值为7，最适温度为25℃，在供试的营养液中，以土壤浸液中萌发率最高。     

玉米转Bt基因自交系的抗玉米螟特性鉴定初报

通过田间接卵和室内PCR分子检测,对采用回交法育成的Mo17Bt、478Bt、综3Bt和87-1Bt等4个转Bt基因自交系的抗虫性以及Bt基因的存在,进行鉴定.结果表明,4个转基因自交系群体的抗虫性明显提高,虫孔隧道长度比阴性对照平均缩短49.70%,差异达显著水平,但抗虫性不如阳性对照;群体内,单株间抗虫性仍存在差异,有高抗到高感不同类型,其     

黄瓜根腐病致病病原的鉴定

在天津市及周边地区采集病株进行组织分离，同时分离到两类病原菌，经初步的生物学特性鉴定表明，引起黄瓜根腐病的主要病原菌为甜瓜疫霉、尖孢镰刀菌和茄病镰刀菌。经接种试验，认为甜瓜疫霉为主要致病菌。     

Assessment of EST- and genomic microsatellite markers for variety discrimination and genetic diversity studies in wheat

It is likely that in the near future sequence information from sequencing programmes and EST libraries will generate an abundance of genic microsatellite markers. This study is focused on the assessment of their likely impact and performance vis-à-vis their genomic counterparts. Microsatellites from two sources were used to assess the genetic diversity in 56 old and new varieties of bread wheat on the UK Recommended List. A set of 12 microsatellite markers generated from genomic libraries and 20 expressed sequence tag (EST)-derived microsatellites were used in the study, and the performance of both marker sets assessed. The EST-derived or genic microsatellites delivered fingerprints of superior quality, amplifying clear products with few stutter bands. Diversity levels as revealed bygenic microsatellites are similar to the few published results. The PIC values for the genic markers were generally lower than those calculated for the genomic microsatellites, though advantages of both marker classes for variety identification applications are discussed. This revised version was published online in July 2006 with corrections to the Cover Date.     

基于XGBoost算法的多云多雾地区多源遥感作物识别

快速、准确地获取作物种植面积信息是长势监测、产量估算、病虫害监测和预警的基础。针对我国江南区域多云雾的特点,以Sentinel-1/2为数据源,综合采用光学遥感影像和合成孔径雷达(Synthetic aperture radar, SAR)影像等多源数据,针对研究区作物早春覆膜的特点,构建地膜植被指数(SAR plastic-film vegetation index, SPVI);利用时序光谱和植被指数特征,研究基于XGBoost算法的作物识别方法。以安徽省宣城市宣州区为研究区,开展实例验证研究。在作物生育期内,云雾影响较大,光学遥感覆盖稀疏区域以Sentinel-2影像为主,获取时序指数数据集,增加4期Sentinel-1雷达影像,用以补充云雾时期(5—7月)光学影像的缺失。以本文设计的方法,得到作物识别总体精度为84.87%,优于随机森林的83.93%,主要作物烟草制图精度88.69%,用户精度95.51%。仅使用生育期Sentinel-2影像的作物识别总体精度79.01%,主要作物烟草制图精度82.30%,用户精度93.49%。研究结果表明,本文构建的基于XGBoost算法多源...