[Objective] This study discussed the SNPs of SLC27A1 gene and its relationship with milk production traits in Chinese Holstein Cattle in order to find the SNP site which had significant effect on milk production trait...
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[Objective] This study discussed the SNPs of SLC27A1 gene and its relationship with milk production traits in Chinese Holstein Cattle in order to find the SNP site which had significant effect on milk production traits in Chinese Holstein Cattle.[Method] DNA was extracted from the bleed of 48 Chinese Holstein Cattle selected according to phenotypic character and mixed into DNA pool for SNPs detection by polymerase chain reaction-single strand conformation polymorphism（PCR-SSCP）and cloning *** different genotypes were detected in other 231 Chinese Holstein Cattle by *** association between genotype and production traits was assessed by GLM procedure,SAS version 8.02.[Result] There were T112C in exon3 and G64A loci in 3＇UTR,among them the T112C in exon3 was synonymous *** were 3 genotypes TT,TC and CC in T112C locus and 3 genotypes GG,GA and AA in G64A *** population was at Hardy-Weinberg *** with genotype CC had significantly highest milk yield than those with genotype TC（P0.01）,and there were no significant differences among the 3 genotypes on milk protein percent and milk fat percent（P0.05）,but the tendency of CC TC TT on milk protein percent and the tendency of TT TC CC on milk fat percent were *** was no significant difference among the 3 genotypes of G64A loci on milk yield,milk protein percent and milk fat percent（P0.05）,but the tendency of GA GG AA on milk yield and the tendency of AA GG GA both on milk protein percent and milk fat percent were showed.[Conclusion] There was certain relation between the T112C locus and milk yield traits;It may improve milk yield to raise the frequency of genotype CC;SLC27A1 gene could be a useful candidate gene in selection program on milk yield traits in Chinese Holstein Cattle,which provided a theoretical basis for the marker-assisted breeding and further study of SLC27A1 gene.
将射频识别(radio frequency identification，RFID)技术引入供应链管理，可以跟踪物流网络中移动物品的运动轨迹，为用户决策提供有力支持。商品流动会产生大量的结构数据，这些数据的存储方法以及基于此类数据集的频繁路径的挖掘是RFI...
详细信息
将射频识别(radio frequency identification，RFID)技术引入供应链管理，可以跟踪物流网络中移动物品的运动轨迹，为用户决策提供有力支持。商品流动会产生大量的结构数据，这些数据的存储方法以及基于此类数据集的频繁路径的挖掘是RFID物流挖掘中的主要问题之一。首先提出基于图的联机分析处理(online analytical processing,OLAP)架构，用图来表示物品流动的路径信息，在此基础上提出了基于RFID数据的频繁图挖掘算法(frequent graph mining algorithm on RFID data sets，RMine)，来对RFID频繁路径数据进行挖掘。实验结果与算法分析都表明，RMine算法能够有效快速地挖掘物流频繁图集。
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