布鲁氏菌病无疫小区建设与成效

近年来,我国将无疫小区管理理念应用到布鲁氏菌病防控,以养殖场生物安全防控作为切入点,整合优化布鲁氏菌病关键技术措施,结合科学有效的监督管理,全面推动布鲁氏菌病防控工作。本文重点从建设主体、生物安全体系、监测要点等方面介绍了布鲁氏菌病无疫小区建设标准,总结了布鲁氏菌病无疫小区建设对于提升完善养殖场生物安全体系,推进养殖企业从传统防控到生物安全管理、风险管理转型升级,促进产业高质量发展等方面的成效,以期对下一步工作推进提供参考。     

青贮玉米蠕形菌的分离鉴定及其致病性分析

本研究为初步明确引起青贮玉米(Zea Mays L.)叶斑病的蠕形菌种类,采集疑似病斑叶片样本,对病原菌进行分离纯化,形态特征观察,ITS-rDNA序列和GADPH基因序列系统发育分析及致病性测定。形态学和分子生物学鉴定结果表明分离得到的142株病原菌为3属6种真菌,其中麦根腐平脐蠕孢(Bipolaris sorokiniana)和玉米生平脐蠕孢(B.zeicola)为优势病原菌,分别为77株和48株;其次为大斑病菌(Exserohilum turcicum)9株,疣状弯孢(Curvularia verruculosa)2株,新月弯孢(C.lunata)3株,穗状弯孢(C.spicifera)3株。致病性测定发现麦根腐平脐蠕孢和玉米生平脐蠕孢对青海省8个主栽青贮玉米品种均有致病性,其余4种病原菌的致病性各有差异。本研究初步明确引起青贮玉米叶斑病的蠕形菌种类及其致病性,为后续开展病害诊断及其综合防控奠定了基础。     

不同居群垂穗披碱草种子生理生化、营养特性与其萌发时滞的相关性

【目的】揭示影响垂穗披碱草种子萌发时滞的关键因素。【方法】对不同居群野生垂穗披碱草种子的萌发时滞、生理生化特性、内源营养物质含量及其环境因子进行差异比较。【结果】居群P2种子萌发时滞最短,为6.0 d,P8萌发时滞最长,达到47.3 d。居群P5种子千粒重最大,为4.2 g,较千粒重最小居群P6高82.6%(P<0.05)。P8种子的脯氨酸（Pro）含量和过氧化氢酶（CAT）活性最高,分别较最低的P1和P4提高了517%和14.2%(P<0.05);P1的丙二醛（MDA）含量最低,较P7降低了34.9%(P<0.05),过氧化物酶（POD）活性和磷（P）含量最高,分别是P5和P4的3倍、4倍（P<0.05）;P3的电导率（Ec）值最低,较P6降低了43.1%,超氧化物歧化酶（SOD）活性最大,较P2提高12.8%(P<0.05);P5的可溶性糖和淀粉含量最高,分别较含量最低的P6和P1提高了87%、110%(P<0.05);P4的N含量最高,较P7提高了59.6%(P<0.05);P9的K含量最高,较P4提高了27.2%(P<0.05)。...     

FLUENT软件及其在植保机械方面的应用

FLUENT软件是流体力学中通用性较强的商业软件之一，由于FLUENT软件的应用，节省了大量的人力和物力。对实际应用有重大的指导作用。为此，通过简述FLUENT在植保机械方面的应用实例，提出了FLUENT在植保机械方面的发展前景。     

甘蓝型油菜雌性不育突变体FS1花器官形态结构研究

植物界中雌性不育现象普遍存在，迄今已在小麦、水稻、苎麻、油松、桔柑等作物中发现了雌性不育突变体^[1~5]，并对雌性不育的机理、遗传、应用进行了研究^[6~11]。1996年我们在油菜育种圃甘蓝型黄籽油菜宁油10号株系中发现了3株异常株，每株只结几个角果，角果肥大且角粒数只有1~5个，后来研究证实为雌性不育突变体，定名为FS1。雌性不育系作父本与母本混播，应用于杂交油菜制种可缩小父、母本间传粉距离，增加母本播种量，从而提高制种产量和纯度。初步研究表明，FS1天然授粉、套袋自交、剥蕾自交结角率为3%左右，平均每角粒数为1.30-2.07粒，其雌性不育性可以遗传，花粉育性正常，体细胞染色体数正常，为2n=38，花粉母细胞减数分裂正常（有关研究另文报道）。为了解甘蓝型油菜雌性不育突变体FS1的雌性不育机制，本文从形态结构方面做了初步研究。     

The research in processing fMRI data using temporal-spatial model based on CCA

In the analysis of cognition of human brain,the fMRI is often used.Corelation is a common method in fMRI data detecting,but its ability should be improved.Based on the Canonical Correlation Analysis(CCA),the temporal correlation and spatial correlation are used together to detect the activated area in the fMRI data.By the application of the method in simulation data and fMRI data,it shows that this method is effective in the detecting.     

A Study on the Mathematical Models for Two Dimensional Guillotine Cullting-stock

Based on the analysis and study on some existed models for two-dimensional Guillotine Cutting-Stock problem, it is pointed out that some kinds of the models may miss some good cutting patterns,and some may result in inadequate solutions because of only considering the patterns with the smallest waste. A kind of revised two-dimensional cutting-stock models are developed,which transform the two-dimensional problem into the one-dimensional one using the dimension-decreasing heuristic method and whose initial patterns are considered comprehensively. In this kind of models, not only the least waste,but also the other constraints,such as the demands and the relative area of the order plates are considered.     

A New Method for Parameterized Design of Metallic Doors and Windows

According to the graphics characteristics of metallic doors & windows design and based on the research of graphics dimension restriction problems. This paper provides a new method for parameterized design of metallic doors & windows in virtue of expression solution. In this method, the restrictions of graphic elements have been changed into the parameter expressions of sizes and positions of graphic elements. Through the calculation of such expressions, the parameter driven method has been reached. Thus the parameterization of graphics can be easier and quicker than before. It can be used to setup the open parameterized graphics libraries.     

Two-dimensional Optimum Cutting Stock Method Based on Internet and Its Implementing Technique

Two dimensional Optimum Cutting Stock is a NP complicated problem. Each of optimum software gets the cutting results by using proximate and heuristic methods. But different optimum methods and their optimum software may not realize perfect effect according to certain data framework. Furthermore, enterprises can not buy lots of optimum software to choose the most optimized plan. Because of such problems, this paper provides a two dimensional optimum cutting stock method based on Internet and offers the real implementing technique of such method. The experiments, show that this method promotes the general optimum effect of two dimensional optimum cutting stock greatly.