新疆苜蓿病害种类和分布的初步研究

文章报道了新疆天山南北８个地州人工栽培紫花苜蓿上的１９种病害,其中一种病害,类似由黑白轮枝菌（Ｖｅｒｔｉｃｉｌｌｉｕｍａｌｂｏ－ａｔｒｕｍＲｅｉｎｋｅｒｅｔＢｅｒｔｈ．）引起的苜蓿黄萎病,而由束状匍柄霉（Ｓｔｅｍｐｈｙｌｉｕｍｓａｃｉｎｉ－ｉｆｏｒｕｍ（Ｃａｖ．）Ｗｉｔｓｈ．）引起的苜蓿匍柄霉叶斑病为新疆首次指导。不同地区苜蓿地的病原群体结构呈现较大差异。     

鲜切菊花栽培技术

近年来,菊花的种植面积和鲜切菊花的产量大幅增长,但菊花种植过程中病虫害较严重。为提高鲜切菊花的科学种植水平,从品种的选择、定植方式、栽培管理和病虫害防治4个方面分别介绍了春菊、夏菊、秋菊和寒菊的栽培技术要点,以期为提高鲜切菊花的观赏价值和经济效益提供有益参考。     

基于2D DWT与MobileNetV3融合的轻量级茶叶病害识别

针对现有茶叶病害识别方法病害信息挖掘不足导致识别准确率低的问题，该研究提出了一种基于二维离散小波变换(discrete wavelet transform, DWT)和MobileNetV3融合的茶叶病害识别模型CBAM-TealeafNet。为增强网络对病害频域特征的检测能力，将2D DWT获取的频域特征与bneck结构提取的深度特征融合，形成频域与深度特征融合的识别网络。为提高特征提取能力，在bneck结构中，嵌入卷积块注意模块 (convolutional block attention module, CBAM)，为特征通道分配相应权重。为解决样本类别不平衡对识别模型性能的影响，利用焦点损失函数取代交叉熵损失函数以提高识别精度。经验证，CBAM-TealeafNet在5种不同茶叶病害上整体识别准确率达到98.70%，参数量为3.16×10⁶，相对MobileNetV3，准确率提升2.15个百分点，参数量降低25.12%。该方法可为茶树叶部等作物病害轻量级识别研究提供模型参考。     

不同化肥农药减施组合对水稻主要病虫害发生及产量的影响

为探索化肥农药减施融合使用技术，设计肥料和农药两因素三水平试验，研究不同化肥农药减施组合对水稻主要病虫害发生及产量的影响。结果发现：减肥有减轻病虫发生程度的趋势，减药有加重病虫发生程度的趋势；减肥可显著影响水稻纹枯病、第4代稻飞虱、稻纵卷叶螟发生程度，减药可显著影响水稻纹枯病、第3和4代稻飞虱、稻纵卷叶螟发生程度，但两者均对稻瘟病、稻曲病、二化螟发生程度无显著影响。减肥30%时实测减产10.29%，对产量影响显著；减肥低于20%时，绿色助剂替代处理和生物农药替代处理实测产量比对照处理增产0.38%和2.49%，生物农药替代和绿色助剂替代均可作为化学农药减量的技术措施。     

淡水养殖鱼类主要细菌性传染病快速诊断的研究——鱼病诊断箱的应用试验

应用以葡萄球菌Ａ蛋白协同凝集试验（ＳＰＡ－ＣＯＡ）为主要检测手段的鱼病诊断箱，于１９９５￣１９９７年在吉林，辽宁等７省进行现场检测试验。结果，６１个渔场１１个品种的５１６尾病鱼有菌生长的２８５尾，经ＳＰＡ－ＣＯＡ鉴定阳性数为２３９尾，占有菌生长的８３．８６％，１２个渔场５个品种１２１６尾假定健康鱼有菌生长的为２８尾，经ＳＰＡ－ＣＯＡ鉴定阳性数为２２尾，占有菌生长的７８．５７％，认为本诊断箱适用于基     

白菜型油菜双显性核不育896AB恢复系基因型的鉴定

以白菜型油菜双显性核不育896AB为材料，采用成对兄妹交和相应可育株自交，验证显性不育基因的遗传;用恢复系与全不育系测交，测交一代与临保系复交，验证显性恢复基因的抑制作用，并区分F2代育性分离为3:1和13:3的遗传类型。经4个年度的研究认为，育性是由一对显性不育基因MSMS和一对显性可育基因RfRf互作控制，且显性可育基     

西伯利亚百合脱毒技术研究

运用茎尖培养、热处理结合茎尖培养、病毒唑结合茎尖培养、热处理加病毒唑结合茎尖培养4种方法，脱除西伯利亚百合品种CMV、LSV和LMoV病毒，分析了4种处理后的成苗率和脱毒率。结果表明：以热处理加病毒唑结合茎尖培养法效果最为明显。     

优质抗寒、抗病酿造葡萄新品种‘北红’

 ‘北红’葡萄新品种由‘玫瑰香’与‘山葡萄’杂交育成。浆果在北京地区9月底成熟。果粒圆形，蓝黑色，果粒质量1.57g，果穗质量160.0 g，浆果可溶性固形物含量23.8 %～ 27.0 %，含酸量0.89～1.26 %。早果性及丰产性强。抗寒、抗病能力特强。酿成的酒深宝石红色，酒体平衡，酒质上等。     

盐城市病虫危害环境污染状况及对策

环境污染已成为当前蚕桑安全生产的最大危害,桑树病虫为害也呈趋重的态势。探讨了盐城市病虫危害、环境污染状况及其防制的主要做法和设想。     

Research Progress Towards the Liquid Chip Technology in Detection of Animal Infectious Diseases

Liquid chip technology is a novel biomolecular detection technology which integrates laser technology,flow cytometry,digital signal processing and traditional chemical technology.It is widely used in various immunological analysis and nucleic acid detection.Single and mutiplex analysis are supported,with protein and nucleic acid targets detected in a variety of detection methods in high throughput manner.It has advantages of high throughput,easy operation,wide range of application,good repeatability,high specificity,less sample needed,high sensitivity and stablility,and low cost.Therefore,they are gradually replacing the traditional detection and quantitative pathogen methods,such as Real-time fluorescent quantitative nucleic acid amplification detection system (qPCR),enzyme-linked immunosorbent assay (ELISA) and other detection methods.Animal infectious diseases seriously endanger the development of the breeding industry,futhermore,some zoonoses such as highly pathogenic avian influenza also pose a serious threat to human health.An efficient and sensitive diagnostic system will help to screen a large number of samples during the outbreak of infectious diseases and prevent the spread of infection.The development of liquid chip technology provides a new platform for high-throughput detection and disease prevention.In this review,the principle and advantages of liquid chip technology are briefly described.The research progress of liquid chip technology in the detection of animal infectious diseases,including pigs diseases,poultry diseases,rabbit diseases,dog diseases,rodent diseases and other animal infectious diseases are summarized.We believe that in the future,this technology will become an important analytical and testing tool in clinical diagnosis,basic research,new drug development,judicial identification,food health supervision,biological weapons prevention and other fields.The development of this technology will greatly promote the research and development of life science.