两株新分离的APMV-I毒株感染SPF鸡的超微病理变化

将APMV-I鹅源分离株YG97鸡源分离株Y98和NDV强毒株F48E8感染SPF鸡，运用透射电镜观察该2株病毒分离株对机体细胞的影响，结果显示3株禽副黏病毒均引起机体肝、胰、脾、肾、心、胃、十二指肠和直肠等实质器官组织细胞的超微病变，如黏膜上皮细胞多处受损，表面微绒毛脱落；实质细胞核固缩、凝聚、凹陷、核多形性，线粒体嵴断裂、空泡样变、膜溶解，粗面内质网扩张、囊泡变，细胞浆的囊泡内及细胞浆内存在有囊膜的成熟病毒粒子等，但YG97和Y98对不同实质器官的组织细胞超微病变程度不一：胃、肝、胰、脾、肾超微病变比心脏的超微病变严重。电镜观察结果还表明：3株禽副黏病毒引起宿主细胞的超微病变有2种形式：坏死性病变和凋亡性病变。     

感染白粉病小麦叶片细胞的超微变化

小麦感染白粉病菌后,叶片叶绿体肿胀,双层膜不完整或消失,基粒片层排列疏松紊乱,细胞中出现许多由单层膜围成的大小不等的空胞和类似纤维状的膜状物,细胞核膜消失,质壁分离.     

吉林省西部新开发水田遥感动态监测研究

为了响应土地整理开发项目的政策,吉林省西部地区开发了大面积的水田。为掌握新开发水田的动态变化,有必要对吉林省地区进行土地利用分类。以吉林省前郭县为例,利用2010年环境卫星数据进行不同土地利用分类方法的比较,进而对另外3景图像进行信息提取,分析4个年份新开发水田的分布及变化情况。结果表明,支持向量机法比最大似然法的耕地分类精度高约5%,其产品和用户精度分别为95%和84%。加入纹理信息没有显著提高分类精度。2009~2012年水田面积分别增加-67.7 km2,111.7 km2和265.01 km2。     

Random point sampling to detect gain and loss in tree canopy cover in response to urban densification

Urban tree canopy cover (UTC) is a simple, and common, measure of urban forest resource. Urban infill development is likely to lead to losses in UTC under private tenure, at a time when local governments are setting ambitious targets to increase UTC overall. Simple, statistically rigorous methods are required to benchmark and track change in UTC, whilst identifying which land-use types or tenures experience change.We estimated UTC in six Melbourne suburbs in 2010 and 2015 by randomly sampling 2000 points across public land, public streetscapes and private land. We were able to detect a net change in UTC of <2% over five years to a 95% level of confidence. A significant net decrease in UTC (−2.4%) was only detected in one of the six suburbs. Two suburbs had a net increase in UTC by +2.7% over five years. On private land, there was often areas of UTC loss, but this was generally offset by canopy gain in other areas of the private realm as well as in streetscapes and public land. Losses in UTC on private land were mainly due to tree removal, with or without subsequent construction works.This study describes a simple, but statistically rigorous, method to quantify UTC change and the drivers of change in different land-use types and tenure. Despite studying two suburbs will high rates of infill development, only one suburb showed evidence of net UTC decrease. The ‘dynamic equilibrium’ in UTC, whereby canopy losses area approximately offset by concurrent canopy gain, means that ambitious targets being set by local governments to increase UTC may be difficult to achieve without changes in tree protection and infill development policy and planning.     

A computer vision system for oocyte counting using images captured by smartphone

This work proposes a computer vision procedure for counting Twospot astyanax (Astyanax bimaculatus) oocytes in Petri dishes using images captured by smartphone. First, the proposed procedure uses simple linear iterative clustering (SLIC) to divide the images into groups of pixels (superpixels). Then, based on their color and space characteristics, the images are classified into light background, dark background, dirt, or oocyte by a machine learning algorithm. Five different types of machine learning algorithms were tested: support vector machines (SVM), decision trees using the algorithm J48 and random forest, k-nearest neighbors (k-NN), and Naive Bayes. To train the algorithms, 8.578 superpixels were classified by an expert into oocyte (n = 354), dirtiness (n = 651), dark background (n = 3.622), and light background (n = 3.951). Of the five learning algorithms, SVM obtained the best result with 97% correct oocyte recognition. Given the wide availability of smartphones, we therefore conclude that the presented procedure can be a valuable tool in future experiments and studies on fertilization and hatching success in Twospot astyanax.     

Detecting interactive effects of N fertilization and heat stress on maize productivity by remote sensing techniques

The objective of this study was to compare the performance of two different remotely sensed techniques in detecting the effects of terminal heat stress and N fertilization on final maize aerial biomass (AB) and grain yield (GY). The study was conducted under field conditions for two consecutive growing seasons. Six N treatments combining three doses [0, 100, 200 Kg N ha⁻¹] and two timings [at V4 and at 15 days before silking] were applied. Within each N treatment three heat treatments were applied (pre-flowering, post-flowering and the control treatment at ambient air temperature). Remote sensing measurements were taken with a multispectral band camera to measure the normalized difference vegetation index (NDVI) and a digital Red/Green/Blue (RGB) camera to measure the normalized green red difference index (NGRDI). Both indices failed to predict the GY of pre-flowering heat-treated plants due to grain set establishment problems that could not be detected by vegetation indices which are designed to capture differences in green canopy area. In contrast, both the NGRDI and the NDVI correlated positively with GY and AB in the control heat treatment and to a lesser extent in the post-flowering heat treatment. Under the control heat treatment, the NGRDI exhibited higher correlations with AB and GY than the NDVI across the N fertilization treatments. Since the NGRDI is formulated based only on the reflectance in the visible regions (VIS) of the spectrum (Green and Red) without dependence on the near infrared regions (NIR), it performs better than the NDVI. This is because it overcame the reported saturation patterns at high leaf area index and was more efficient at capturing even small differences in leaf colour (chlorophyll content) due to the different applied N treatments. Also, the NGRDI seemed to be a more seasonally independent parameter than the NDVI, which is more affected by temporal variability within the field, and thus the NGRDI predicted AB and GY better than the NDVI when combining the data of the two growing seasons.     

一起山羊地方性鼻内肿瘤的诊断

陕西省某山羊养殖场发生一起山羊鼻内肿瘤病,通过流行病学和临床症状调查、病理剖检、病理切片检查进行初步诊断。其次根据GenBank收录的山羊地方性鼻内肿瘤病毒基因组序列设计1对特异性引物,通过PCR方法从肿瘤组织中扩增获得目的片段并测序。序列比对分析表明,该目的基因和山羊地方性鼻内肿瘤病毒高度相似,最终确定该病为山羊地方性鼻内肿瘤病毒引起的山羊地方性鼻内肿瘤(ENT)。     

1例肉鸡肝恶性黑色素瘤的病理学诊断

本研究旨在对临床上发现的1例肉鸡肝黑色素瘤进行病理学诊断。1羽25日龄AA肉鸡精神沉郁、极度消瘦,剖检发现其整个肝呈黑色。HE染色结果显示,病变肝内遍布大小不一、细胞核深染、细胞质内有大量黑色素颗粒沉积的异常细胞团。黑色素瘤诊断标志蛋白SOX 10和HMB-45抗体免疫组化染色均呈阳性。结合病理学检测和免疫组化结果,判定该病鸡肝患有恶性黑色素瘤。试验对病变肝进行胆色素染色和普鲁士蓝染色,结果均呈阴性,提示病变肝并非由胆红素或含铁血黄素淤积所致。综上表明,此例病鸡患有严重的肝恶性黑色素瘤,试验结果对禽类黑色素瘤的诊断与研究有参考价值。     

Pathological analysis of batch safety testing of veterinary vaccines using small laboratory animals

Batch safety tests (BSTs) of veterinary vaccines are conducted using small laboratory animals to assure the safety of vaccines according to several criteria, including clinical signs and change in body weight. Although the latter is used as an evaluation index in BSTs, there have been no reports on the internal changes that affect body weight during the test period. Therefore, we analyzed BST via pathological examination of the tested animals. Here, BSTs were performed for 176 batches using mice and 126 batches using of guinea pigs. Most of the gross findings could be classified into four lesion types (nodules, adhesions, ascites, no apparent signs), with only one vaccine inducing lesions that could not be classified into any of these four types. Histopathological examination revealed that the reactions caused by BST were pyogenic and/or granulomatous inflammation. Nodular or adhesive lesions comprised more severe pyogenic granulomatous inflammation than ascites or cases with no apparent gross lesions. These nodular or adhesive lesions were more frequently induced by vaccines that contained an adjuvant than by vaccines that did not contain an adjuvant. The cases with “exceptional” gross findings histologically presented severe necrosis of the hematopoietic system. Additional testing showed that these “exceptional” lesions were induced when a specific type of light liquid paraffin was injected along with other vaccine additives. Our results show that body weight loss and/or lesions during BST were induced by proinflammatory properties of the tested vaccines and that BST is a sensitive method for detecting unexpected effects of vaccine components.