SNP genotyping in sheep from northwest and east China for meat traceability
Meat traceability is essential for meat safety and to solve adulteration issues. Single nucleotide polymorphisms (SNPs) are commonly used as a DNA marker and provide a way to trace meat and meat products. The high resolution melting method is a relatively cheap and fast method for detecting specific SNPs. In the present study, we selected 8 SNPs from the NCBI dbSNP database and tested their feasibility in blood or meat samples from 135 sheep reared in northwestern and eastern China. The results indicated that seven SNPs were suitable for meat traceability and the probability of 2 individuals having the same genotype was 1.85 out of 1000.
Современные подходы генетической идентификации породной принадлежности сельскохозяйственных животных (обзор)
To improve the breed characters of farm animals, there is the need for breeding based on reliable information about the particular breed of animals, which is the key to high-quality breeding work. In this regard, there is a need to search for new methods of reliable identification of the breed of animals. The article presents an analysis of methods based on the achievements of modern genetics, which are used to obtain more accurate information when determining the breed of ani-mals. A brief description of methods for determining the species and breed identification of animals based on molecular DNA markers is given. Methods based on the study of polymorphism of mitochondrial DNA and microsatellites are analyzed. Spe-cial attention in this review is paid to the latest and most promising achievements in the field of high-performance genotyping technologies based on single nucleotide polymorphism (SNP). The analysis of the literature sources has shown that each breed of farm animals is characterized by its unique genetic structure, which should provide an objective result when deter-mining the breed of the animal.
Using Fuzzy-Delphi technique to determine the concession period in BOT projects
BOT projects are affected by several risks and uncertainties. One of the most important issues in this type of contract is to determine the length of concession period considering these uncertainties. The previous studies have developed several models to determine the concession period. However, the uncertainties are not taking into account in most of the previous works. Moreover, none of the previous researches has the capability to aggregate the opinions of different experts being involved in a project regarding the values of the uncertain input parameters. In this research, a Fuzzy-Delphi technique is implemented to determine the length of concession period considering uncertainties. Using the proposed Fuzzy-Delphi technique, the values of different uncertain factors affecting a BOT project is determined considering opinions of a group of experts. The NPV value is calculated considering the resulted aggregated values of uncertain input parameters. Finally, the concession period is determined using fuzzy approach. A case study is conducted to evaluate the performance of the proposed methodology. It is shown that the concession period is determined more effectively using the proposed approach.