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61.
应用免疫组织化学SP法和原位杂交法研究了催产素(oxytocin,OT)及OT mRNA在成年发情期奶山羊下丘脑中的分布和表达。结果,OT免疫反应阳性细胞主要分布在视上核和室旁核,在视上弥散核、弓状核、室周核和乳头体各核团也存在免疫阳性神经元;在室旁核、视上弥散核、正中隆起和第三脑室附近有较多数量的强阳性神经纤维,在交叉上核有少量阳性神经纤维。在下丘脑23个核团(区)中均能检测出OT mRNA的阳性细胞。结果表明,OT和OT mRNA在下丘脑中分布广泛,且OT可能通过轴突传递和血液运输,将OT mRNA合成的OT运送到别的核团;OT在奶山羊发情过程中发挥了重要作用。 相似文献
62.
地面高光谱和低空遥感监测小麦白粉病初探 总被引:4,自引:1,他引:4
利用手持式高光谱仪和基于数字技术的低空遥感系统,对不同严重度小麦白粉病冠层光谱反射率进行了测定,同时调查病情指数,分析不同时期地面平台光谱反射率与病情指数及低空遥感平台反射率与病情指数(disease index,DI)、归一化植被指数(normalized difference vegetable index,NDVI)相关性。结果表明,地面光谱测量冠层光谱反射率和低空遥感数字图像反射率与小麦白粉病病情指数在灌浆期有显著的相关关系,就地面测量结果而言,近红外波段的相关性高于绿光波段,相关系数分别为0.79和0.54;低空遥感数字图像红、绿、蓝三波段中,相关性依次降低,相关系数分别为0.79、0.75和0.62;而且低空遥感图像与归一化植被指数也存在较好的相关关系,蓝、红、绿波段,相关系数依次为0.70、0.68和0.54。这表明利用遥感非破坏性监测小麦白粉痛有着良好的应用前景,对于小麦白粉病发生面积监测有重要意义。 相似文献
63.
地高辛标记cDNA探针检测苹果茎痘病毒 总被引:3,自引:0,他引:3
Partial sequence(314 bp) of ASPV was cloned and used as a probe labelled with digoxigenin-11dUTP. The total RNA extracted from samples with Apple stem pitting virus and a series of dilutions of plasmid with ASPV-cDNA were detected by dot blot hybridization. The results showed that the probe was sensitive and specific. The probe couldn't hybridize with total RNA of Apple stem grooving virus, Apple mosaic virus and Apple chlorotic leaf spot virus samples as well as negative control, only hybridized with that extracted from dormant shoot infected with ASPV. The sensitivity for detection of plasmid contained ASPV-cDNA was 1.64 μg. 相似文献
64.
猪附红细胞体PCR-微孔板杂交-酶免疫检测方法的研究 总被引:1,自引:0,他引:1
以猪附红细胞体和多种血营养菌16S rRNA基因的保守区设计合成引物HM-f/HM-r,在反向引物的5′端用生物素标记,以猪附红细胞体广东株16S rRNA基因的可变区序列设计种特异性寡核苷酸探针,探针的5′端用地高辛标记,成功地建立了猪附红细胞体PCR-微孔板杂交-酶免疫检测方法。通过测定不同浓度PCR产物对应的微孔板杂交-酶反应显色OD值,用SPSS统计软件进行回归分析,得到回归方程为y=2.1012-0.4492×logx,其相关系数R为0.977,显示对未知样品可进行定量检测。该方法与猪的多种细菌性病原、猫血巴尔通氏体CA株和E.wenyonii无交叉反应,其敏感性比常规PCR琼脂糖电泳检测提高了近100倍。用建立的方法对38份临床样品进行检测,结果有12份检测结果为阳性。 相似文献
65.
为筛选与线虫感染性相关的基因,本研究以猪蛔虫为对象,构建猪蛔虫感染期幼虫差异表达消减cDNA文库,为研究线虫期特异性发育的分子机制奠定基础。分别提取感染期幼虫和其它各期幼虫及成虫的总RNA,纯化mRNA后,采用Clontech公司PCR-selectTM试剂盒进行反转录合成cDNA并进行抑制消减杂交(SSH),构建猪蛔虫感染期幼虫差异表达的消减cDNA文库,并采用Southern斑点杂交进行消减效率的检测。随机从文库中抽取45个克隆进行测序及在线BLAST分析。试验结果表明,感染期幼虫差异表达的消减cDNA文库具有较强的特异性;在得到的41个表达序列标签(ESTs)中,有40个ESTs与已报道的基因有较高的相似性,主要代表猪蛔虫第三期幼虫基因和成虫头部基因,有1个cDNA片段可能代表新基因。猪蛔虫感染期幼虫差异表达消减cDNA文库的成功构建,为进一步研究幼虫发育差异表达基因的功能奠定了基础。 相似文献
66.
Urban forests are unique and highly valued resources. However, trees in urban forests are often under greater stress than those in rural or undeveloped areas due to soil compaction, restricted growing spaces, high temperatures, and exposure to air and water pollution. In addition, conditions change more quickly in urban as opposed to rural and undeveloped settings. Subsequently, proactive management of urban forests can be challenging and requires the availability of current and comprehensive information. Geospatial tools, such as, geographic information systems (GIS), global positioning systems (GPS) and remote sensing, work extremely well together for gathering, analyzing, and reporting information. Many urban forest management questions could be quickly and effectively addressed using geospatial methods and tools. The geospatial tools can provide timely and extensive spatial data from which urban forest attributes can be derived, such as land cover, forest structure, species composition and condition, heat island effects, and carbon storage. Emerging geospatial tools that could be adapted for urban forest applications include data fusion, virtual reality, three-dimensional visualization, Internet delivery, modeling, and emergency response. 相似文献
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69.
Reliable information on weed abundance and distribution within fields is essential for weed management in agricultural systems. Such information is necessary to adopt localized and variable rates of herbicide spraying, thus reducing chemical waste, crop damage, and environmental pollution. This paper examined the potential of airborne multispectral imagery to discriminate and map weed infestations in an experimental citrus orchard in Japan. Using an airborne digital sensor, multispectral imagery was acquired over the study site on 10 April 2003. The obtained reflectance imagery was analyzed using an image object-based approach in eCognition. After creating image objects on the image, the spectral information for weeds and citrus, represented by corresponding selected sample image objects, was extracted. Significant differences in the spectral characteristics between weeds and citrus were observed in each of the red, green, and blue wavebands. The simple average values of these wavebands were used to classify image objects with the nearest neighbor algorithm. Maps were generated with different classes or levels of class groups. A subsequent accuracy assessment demonstrated that the weeds were successfully discriminated from other image objects with a classification accuracy of 99.07%. Therefore, maps generated based on the classification result could provide valuable information for developing a site-specific weed management program for the study orchard. 相似文献
70.
A method for mapping the distribution of willow at a catchment scale using bi-seasonal SPOT5 imagery 总被引:1,自引:0,他引:1
This study showed that seasonal imagery acquired at specific stages of phenology can be used to improve the mapping accuracy of invasive willow at a catchment scale. SPOT5 XI (10 m) satellite imagery was acquired for early autumn and winter to represent the phenological stages of leaf cover and leaf fall respectively. Four classification regimes were evaluated using single‐ and bi‐seasonal composite imagery to determine the most accurate method. Significant spectral noise was found in willow populations, especially in the winter image, due to the effects of undergrowth exposure, shadowing, topography and boundary‐mixed pixels. Two noise reduction techniques were applied to the bi‐seasonal composite image to improve the classification results. The noise‐reduced bi‐seasonal composite image was classified using the spectral angle mapper (SAM) algorithm before importation into a geographical information system. Aerial photography was used to reduce the errors of commission associated with misclassification of pastures. The class accuracy achieved for willow using the method described in this study was 77.5% (Kappa =0.87). The high cost of eradicating willow means that managers must establish priorities for control; this technique can provide a powerful tool for prioritizing control programmes and for monitoring results at a catchment scale. 相似文献