插秧机作业面积测量远程监测系统软件设计——基于VisualBasic.NET 2010

为实现对插秧机作业区域自动识别和作业面积的自动测量,实时掌握跨区作业插秧机远程作业面积参量值,以VisualStudio平台上的VisualBasic.NET2010为开发环境,开发了一套高速插秧机跨区作业面积远程测量监测系统软件。该软件功能主要包括GPS定位轨迹及作业区域的识别、面积测量、数据通讯、数据显示和数据存贮。系统采用VisualBasic.NET2010语言进行开发,将远程跨区作业的插秧机面积测量监测数据经由GPRS网络进行无线传输到上位机,并采用SOCKET组件和ADO.NET技术实现系统数据通信,完成PC机与下位机之间数据的传输,对测量结果进行显示存储,同时通过系统误差分析完成系统的可行性判断。     

高效节水灌溉管道流量计算原则初探

对于管网优化及投资分析来说,最不利情况下的水力条件不是普遍条件,不能够完全代表管网应当有的优化假定条件。通过管道控制灌溉面积来确定管道的流量,按照满足在一天内,管道控制的所有灌水器都灌溉一次的原则确定,并给出公式。让管道的流量这一重要参数,在高效节水灌溉工程优化和设计计算中变得简单并容易计算。     

水头可调薄壁堰式渠道流量智能测控系统优化试验研究

采用巴赞堰流公式计算流量的水头可调薄壁堰式渠道流量智能测控系统通过渠道流量量测与控制试验,验证了其精准的测流功能和智能控制技术的可行性。为进一步提高该测控系统运行的效率和稳定性,减少运行能耗,对矩形薄壁堰堰流公式进行水力试验研究,通过分析堰上水头和流量关系,拟合出矩形薄壁堰流量计算公式。通过向该拟合公式引入修正系数λ=0.848,将测控系统测得的堰上水头数据值代入该拟合公式求得的流量值与电磁流量计测得流量值的差值的平均值为-0.004L/s,标准差为0.119,线性相关系数R2=0.989 1。该拟合公式相对于巴赞堰流公式形式简单、参数较少、运算简便,同时也满足节水灌溉对精准测流的要求,更适用于水头可调薄壁堰式渠道流量智能测控系统,对于在灌区推广和使用该测控系统具有重要的意义。     

The Fluorescent Characterization and Analysis of Two Brucella Attenuated Vaccine Infecting Mouse Macrophagocyte

The experiment was conducted to discuss the difference of binding time of green fluorescent protein B.melitensis M5 (GFP-M5) and B.abortus S19 (GFP-S19) infecting the mouse macrophagocyte (RAW264.7),lysosome,endoplasmic reticulum and golgi body in the initial stage and compare the binding rate of GFP-M5,GFP-S19 with organelle in different timeline,respectively,by confocal laser scanning microscope (CLSM) and flow cytometry.The result showed that GFP-M5 and GFP-S19 were successfully constructed.The intracellular survival ability of Brucella M5,Brucella S19,GFP-M5 and GFP-S19 were not obvisouly affected after infecting RAW264.7.GFP-M5 and GFP-S19 could enter the macrophagocyte in 30 mins,and in 2 h the Brucella could reach lysosome,endoplasmic reticulum and golgi body.In addition,the binding time for two attenuated vaccine did not show differences in 1,2,3 and 4 h.The content of GFP⁺ cell produced by RAW264.7 infected by GFP-M5 and GFP-S19 did not show significant differences (P>0.05).Therefore,the two strains did not have significant differences in the invasion ability in the initial stage of infecting host cell.     

Accuracy of imputation of single nucleotide polymorphism marker genotypes from low‐density panels in Japanese Black cattle

Using target and reference fattened steer populations, the performance of genotype imputation using lower‐density marker panels in Japanese Black cattle was evaluated. Population imputation was performed using BEAGLE software. Genotype information for approximately 40 000 single nucleotide polymorphism (SNP) markers by Illumina BovineSNP50 BeadChip was available, and imputation accuracy was assessed based on the average concordance rates of the genotypes, varying equally spaced SNP densities, and the number of individuals in the reference population. Two additional statistics were also calculated as indicators of imputation performance. The concordance rates tended to be lower for SNPs with greater minor allele frequencies, or those located near the ends of the chromosomes. Longer autosomes yielded greater imputation accuracies than shorter ones. When SNPs were selected based on linkage disequilibrium information, relative imputation accuracy was slightly improved. When 3000 and 10 000 equally spaced SNPs were used, the imputation accuracies were greater than 90% and approximately 97%, respectively. These results indicate that combining genotyping using a lower‐density SNP chip with genotype imputation based on a population of individuals genotyped using a higher‐density SNP chip is a cost‐effective and valid approach for genomic prediction.     

Measurement of Wildlife Value Orientations Among Diverse Audiences: A Multigroup Confirmatory Factor Analysis Among Hispanic and Non-Hispanic White Communities

Wildlife value orientations (WVOs) are increasingly being used to describe broad societal shifts that are altering the way people perceive wildlife. Concurrent with these shifts is a diversification of cultural heritages that complicate comparisons of WVOs across cultures. Yet, when measuring WVOs across cultures, differences in WVOs may be genuine variations between the populations, or may be artifacts of the measurement instrument. Therefore, there is a need to determine if various cultures interact with the instrument uniformly. Three multiple group confirmatory factor analyses (MGCFA) examined how ethnicity, acculturation, and language spoken are related to a WVO scale’s performance within Hispanic and non-Hispanic white communities. Results of each MGCFA support the cross-cultural stability of the WVO factor structure. Additional cross-cultural WVO research is needed to expand the construct and assist natural resource practitioners in understanding diverse constituencies, but conducting a MGCFA analysis should be a necessary precondition when comparing WVOs across cultures.     

Accuracy of genomic prediction using imputed whole‐genome sequence data in white layers

There is an increasing interest in using whole‐genome sequence data in genomic selection breeding programmes. Prediction of breeding values is expected to be more accurate when whole‐genome sequence is used, because the causal mutations are assumed to be in the data. We performed genomic prediction for the number of eggs in white layers using imputed whole‐genome resequence data including ~4.6 million SNPs. The prediction accuracies based on sequence data were compared with the accuracies from the 60 K SNP panel. Predictions were based on genomic best linear unbiased prediction (GBLUP) as well as a Bayesian variable selection model (BayesC). Moreover, the prediction accuracy from using different types of variants (synonymous, non‐synonymous and non‐coding SNPs) was evaluated. Genomic prediction using the 60 K SNP panel resulted in a prediction accuracy of 0.74 when GBLUP was applied. With sequence data, there was a small increase (~1%) in prediction accuracy over the 60 K genotypes. With both 60 K SNP panel and sequence data, GBLUP slightly outperformed BayesC in predicting the breeding values. Selection of SNPs more likely to affect the phenotype (i.e. non‐synonymous SNPs) did not improve the accuracy of genomic prediction. The fact that sequence data were based on imputation from a small number of sequenced animals may have limited the potential to improve the prediction accuracy. A small reference population (n = 1004) and possible exclusion of many causal SNPs during quality control can be other possible reasons for limited benefit of sequence data. We expect, however, that the limited improvement is because the 60 K SNP panel was already sufficiently dense to accurately determine the relationships between animals in our data.     

应用压力早期恢复资料确定低渗地层压力

低渗透油藏的压力恢复曲线,不能用Horner外推压力求取地层压力。基于Horner方程的等轴双曲线形式,提出了应用压力早期恢复资料确定低渗地层压力的新方法。通过油井实际资料计算验证,用该方法计算的地层压力准确可靠,较好地解决了低渗透油藏求地层压力的问题。