农业机械管理的创新与发展

农业现代化是衡量国家现代化的一个重要指标。在国家强农惠农政策的引导下,东海县应逐步改变传统的农业生产模式,实现农业生产集中化、机械化、现代化。同时可尝试多行业、各技术融合,促进农机化和农机管理工作更上一层楼。     

丘陵山区农田信息采集车底盘爬坡性能仿真

针对丘陵山区精细农作时农田信息数据采集困难的现状,设计了一种新型的丘陵山区农田信息采集车底盘。为了提高该底盘的爬坡性能,运用多体动力学仿真软件RecurDyn中的低速履带模块(Track-LM),建立了该底盘的虚拟样机模型,并对其纵向和横向爬坡性能进行仿真研究,分析了不同坡角和路面对该底盘行驶速度、俯仰角、侧倾角及侧履带压力的影响。此研究可为改善该底盘爬坡性能提供理论依据。     

农田信息管理决策支持系统的设计与实现——基于Silverlight

随着我国农业的发展,农田分布范围不断扩大,产生的农田信息繁多而复杂。基于WebGIS的农业决策支持系统已在一些地区的现代化农业生产中得到了示范应用,但由于其客户端采用Ajax或Flex技术实现,存在多媒体功能不足及平台可移植性较差等问题。为此,借助WebGIS开放性平台,采用微软Silverlight技术,设计开发了基于Silverlight的农田信息管理决策支持系统,实现了地图基本操作、地块信息管理决策及环境信息管理决策等功能。该系统可以辅助用户管理农田信息,并为施肥及生产计划提供决策支持。在黑龙江红星农场的试用结果表明:系统自投入使用后运行正常,并能提供信息管理及适宜辅助决策支持。     

基于MatLab和DSP的哈密瓜纹理分割与分类

以新疆特色水果哈密瓜为研究对象,提出一种利用Matlab辅助DSP提取哈密瓜纹理的方法。该方法首先利用Matlab把待处理的图像转换为数据文件(dat文件),然后利用DSP强大的运算能力分割哈密瓜表面纹理特征,并将分割结果同样以dat文件传递给Mat Lab,最后利用Mat Lab强大的数据分析与图像显示能力建立哈密瓜分类模型。实验结果表明,该方法能够有效地对哈密瓜表面纹理进行分割与分类,分类准确率为88.10%。该方法不但能够缩短DSP系统的开发周期,且能够为今后开发基于DSP的哈密瓜品质实时检测系统奠定基础。     

信息技术用于汽车纵梁制造的探讨

文章以为汽车行业的健康发展提供指导和借鉴为目的,主要对汽车的纵梁平面图纸集成化制造中诸如参数提取、纵梁3D模型构建技术和Agent的网络集成技术的应用方法等进行了相关论述,以此为实现汽车行业的可持续发展而做出贡献。     

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.     

明胶用量及其与卡拉胶复配对奶冻品质的影响

[目的]奶冻在储存过程中常出现失水现象,为提高奶冻贮藏中的品质和保水性。[方法]以不同时间下奶冻质构特性、持水力、感官品质指标评价奶冻品质,探究明胶添加量以及明胶-卡拉胶复配对奶冻品质的影响。[结果]随明胶添加量增大,水析率、回复性和弹性逐渐减小,硬度和咀嚼度逐渐增大,感官品质先提升后下降,明胶添加量为1.8%时奶冻品质最好;在总胶体用量为1.8%情况下,卡拉胶比例增大,水析率和弹性变化幅度小,硬度先增大后减小再增大,咀嚼度先减小后增大,回复性减小,感官品质先降低后提升最后持续降低,卡拉胶比例为7%时其奶冻品质最好。[结论]1.8%的胶体添加量下添加7%的卡拉胶与明胶复配提高了奶冻的贮藏品质,胶体复配可改善奶冻贮藏中品质下降问题。     

An Information System for Vehicle Transport Management

This paper proposes a model framework, which describes the function requirements and the common characterstics of vehicle transport management. With the frame, a computer vehicle transportation managerment information system(QCMIS)is in troduced here and it has already been put into practice. The key technical points is also explained in the paper.     

Model of Financing Strategy

Considering information asymmetry between inside and outside of the firms,this paper discusses the financing strategy of M&A,and builds a model.According to the model,we can see that the firm with relatively expected low-productivity will choose equity financing for M&A,and the firm with relatively expected high-productivity will choose debt financing for M&A,and the firm with expected medium-productivity will not choose financing from outside.In the case of undeveloped capital market and financing tools in China,the conclusion of the model has some extent significance for helping firms to choose financing strategy for M&A rationally.