野生老芒麦种质资源鉴定与基部叶鞘绒毛变异分析

为更好地利用老芒麦(Elymus sibiricus L.)野生资源,本研究从我国青藏高原、西北、华北、东北地区以及国外部分地区共采集了1 723份野生披碱草属种质资源,通过表型特征观测和流式细胞仪检测,共鉴定出了990份野生老芒麦种质,246份垂穗披碱草种质,并测得老芒麦的DNA含量在5.86～7.30 Gb之间,平均DNA含量为6.66 Gb;垂穗披碱草材料的DNA含量在9.50～10.36 Gb之间,平均DNA含量为9.97 Gb。研究结果显示,在西北、华北以及东北地区的部分野生老芒麦材料在苗期基部叶鞘出现了绒毛,分析发现该表型出现的概率与经度和纬度呈极显著正相关关系(P<0.01),与海拔、年年均气温以及年平均降雨量呈极显著负相关关系(P<0.01)。表明老芒麦苗期基部叶鞘绒毛的有无与环境因子之间存在着必然的联系,可能是老芒麦种质应对不同环境类型的适应性机制之一。本研究为老芒麦的形态鉴定提供了新的依据,为老芒麦种质资源挖掘和育种应用提供了材料基础。     

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。     

谷物及种子的力学--流变学特性的研究进展

近年来，国内外广泛开展了固体农业物料力学流变学特性的研究。为此，概述了国内外谷物及种子的力学流变学特性方而的研究及进展情况，同时介绍了这一特性在农业工程中的应用。     

白菜型油菜DFR基因的克隆与序列分析

By using RACE (rapid amplification ofcDNA ends) based homologous cloning strategy, we have successfully isolated the genomic and full-length cDNA sequences of a gene encoding typical DFR (dihydroflavonol-4-reductase) from black-seeded Brassica campestris L. var. oleifera DC.. The gene, designated BcDFR here, is 1 722bp in length and harbors 5 introns with typical splice sites of plant DFR genes. BcDFR cDNA is 1311bp in length with a 1 158bp ORF as well as a 25bp 5‘ UTR and a 128bp 3‘ UTR. The encoded BcDFR protein is 385 aa with a calculated Mw of 42.85kD and a pI value of 5.55. The nucleotide and amino acid sequences of this gene share extensive homologies to plant DFR genes of wide origins especially high similarities to Cruciferous DFR genes. Sequence analyses such as phylogenetic analysis, conserved domain search and substrate specificity region detection all indicated that BcDFR gene is a quite potentially biofunctional gene. Its cloning enables us to further dissect the possible relatedness between DFR gene and Brassica seed coat color traits and to create transgenic novel yellow-seeded rapeseed germplasm through antisense- or RNAi-suppression of DFR gene expression in black-seeded elite cultivars.     

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.     

Application of Attribute Reduct Method in Spatial Load Forecasting

Spatial load forecasting is a process distributing the total forecasted load to all partitioned area, and involving more spatial information and more factor influencing application of the future small area, which need a great deal of memory space and longer operation time. Rough set is new method of data analysis. It need not be provided with any advanced information except data set. But attribute reduct is its main algorithms. Division matrix approach on rough set used to reduce the attribute related to land - use decision in order to remove redundancy attribute and then the rules of small area land - use decision is distilled. The method obtained better effect and enhanced the total load forecasting efficiency.     

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.