云南省核桃产业发展现状及对策分析

核桃产业是云南省高原特色现代农业的重点产业和脱贫攻坚的支撑产业。分析云南省核桃产业发展现状,结果表明:云南省核桃产业发展较快,但存在粗放式经营管理,资金和技术投入不足,市场销售、质量标准和社会化服务体系不完善,深加工能力不足等诸多问题。在此基础上提出向集约化经营管理转变,加大资金与技术投入,完善云南省核桃地方标准体系,加强市场销售网络体系建设,加大核桃加工龙头企业扶持力度,建立健全社会化服务体系等核桃产业发展对策。     

氯霉素间接竞争ELISA(ciELISA)检测方法的建立

以人工合成的氯霉素－牛血清白蛋白（ＣＡＰ－ＢＳＡ）为包被抗原,氯霉素（Ｃｈｌｏｒａｍｐｈｅｎｉｃｏｌ,ＣＡＰ）为竞争的半抗原,两者与一定量的抗ＣＡＰ单抗（ＣＡＰ－ＭｃＡｂ）反应。实验结果表明,理想的包被抗原浓度为１．２５μｇ／ｍｌ,抗ＣＡＰ－ＭｃＡｂ工作浓度为１：１２０００,酶标二抗工作浓度为 １： ５０００,可测最适范围为 １ｎｇ／ｍｌ－１００ｎｇ／ｍｌ,最小检测量为０．１ｎｇ／ｍｌ,批内和批间变异系数分别为３． ６２％和 ５． １９％。得到回归方程 ｙ ＝１．２７３０－ ０．６７４５ｘ（ｒ２＝ ０． ９７７９）和标准曲线,从而建立了快速定量测定 ＣＡＰ含量的间接竞争酶联免疫吸附试验（ＥＬＩＳＡ）。整个测定时间为６小时。     

郭予元院士在宁夏植保防控事业中的学术贡献——纪念郭予元院士诞辰90周年

五六十年代的宁夏, 农业发展落后, 农业科学发展刚刚起步, 引黄灌区的水稻和南部西海固地区的冬小麦分别是当地的主要粮食作物, 其产量直接关乎当地群众温饱。但是由于特殊的地理位置和气候特点, 这些地区病虫害发生严重, 制约了当地的粮食生产。本文回顾了郭予元院士在宁夏进行病虫害科学研究, 为水稻稻瘟病、小麦麦种蝇和小麦腥黑穗病的监测预警, 防治示范做出的突出贡献。郭予元院士建立的预测预报体系及防治技术示范一直指导当地的农业生产, 并给全国的病虫害防治做了示范。     

对水灾害治理标准规律的初步认识

水灾害治理标准是在一定的自然、社会经济和历史条件下的产物,并随着社会经济条件的变化而变化;同时,在一定的社会经济条件下具有暂时性和阶段性。水灾害治理标准发生作用的大小受人类活动干预程度的影响。水灾害治理标准具有可测性,通过对水灾害治理标准影响因素的统计或预测,可以有效地把握其发展变化趋势。认识并遵循水灾害治理标准的规律,对于正确制定水灾害治理标准,最大限度地发挥其作用具有积极意义。     

节水农业文献数据库分类检索系统的建立──节水农业文献资源开发利用研究Ⅱ

遵照分类检索“以类索文，触类全貌，类目编排，严谨科学”的基本原则及本数据库独具专题综合性的特殊要求，以中国图管分类法为基础，优选有关１～４级类目、类号，显明简要的类目注释．并制定一套划分文献的规则，依类揭示本库所收录的节水农业文献信息，满足有关用户以类索文的需要。     

信息安全管理软件的比较研究

文章介绍了当前业界信息安全管理常用的ASSET、COBRA和Callio Secura 17799 3种软件的基本情况,然后从发行公司、运行平台、操作过程、功能等方面进行了比较,最后对这三种软件的使用对象提出了些建议。     

Sampling error resulting from depth-dependent plankton distributions and current differentials in a two-layered system

We evaluate a source of error observed in standard ichthyoplankton bongo tows in which volumes of water filtered did not result in increased catches of red-fish. Our analyses demonstrate that, under conditions where redfish larvae are distributed in surface waters in a two-layered system, current differentials between surface and subsurface layers resulted in biased, standardized estimates of larval abundances as a result of filtering varying amounts of subsurface waters. Analysis of standard survey results on Flemish Cap demonstrated that this source of bias was limited to the May-June period, after waters became stratified and before redfish passed from the larvae to pelagic juvenile stage. Correcting for this source of sampling bias wIII result in more accurate absolute estimates of ichthyoplankton abundance, and we estimate that variation (CV) for replicate samples may be reduced by 10%.     

我国干旱半干旱地区治理环境资源问题的技术规范初探

落后的生产技术以及不遵循自然规律开发利用环境资源,使生态环境本就脆弱的干旱半干旱地区旱灾更广泛外,还表现出诸如土地荒漠化、水土流失、草原退化等日趋严重的环境资源问题。干旱半干旱地区发展经济需要注重生态效益与经济效益并举,科技进步是关键,为使科学技术在生产实践中规范化运作,在干旱半干旱地区法制建设中应制定治理环境资源问题的技术规范,包括生态技术规范、生产技术规范、节水技术规范、预测技术规范。     

基于高等教育专业教学质量标准下药用微生物学课程能力培养教学模式的研究

基于高等教育专业教学质量标准,研究药用微生物学课程能力培养教学模式,立足于学校实际,在推行新课改的前提下,积极开展药用微生物学课程的教学改革实践活动。通过明确课程定位、确定课程目标、做好课程设计、组织课程实施、严控课程考核、认真教学反思等过程实施,提升学生在课堂中的参与度,锻炼其思维能力、语言表达能力、自主学习及解决问题的能力,从而推进“高效课堂”的有效实施,促进学生学习方式和教师教学方式的转变,以期达到培养高素质技能型人才的目标。     

A proposal to leverage high-quality veterinary diagnostic laboratory large data streams for animal health,public health,and One Health

Test data generated by ~60 accredited member laboratories of the American Association of Veterinary Laboratory Diagnosticians (AAVLD) is of exceptional quality. These data are captured by 1 of 13 laboratory information management systems (LIMSs) developed specifically for veterinary diagnostic laboratories (VDLs). Beginning ~2000, the National Animal Health Laboratory Network (NAHLN) developed an electronic messaging system for LIMS to automatically send standardized data streams for 14 select agents to a national repository. This messaging enables the U.S. Department of Agriculture to track and respond to high-consequence animal disease outbreaks such as highly pathogenic avian influenza. Because of the lack of standardized data collection in the LIMSs used at VDLs, there is, to date, no means of summarizing VDL large data streams for multi-state and national animal health studies or for providing near-real-time tracking for hundreds of other important animal diseases in the United States that are detected routinely by VDLs. Further, VDLs are the only state and federal resources that can provide early detection and identification of endemic and emerging zoonotic diseases. Zoonotic diseases are estimated to be responsible for 2.5 billion cases of human illness and 2.7 million deaths worldwide every year. The economic and health impact of the SARS-CoV-2 pandemic is self-evident. We review here the history and progress of data management in VDLs and discuss ways of seizing unexplored opportunities to advance data leveraging to better serve animal health, public health, and One Health.