The study objects includes seven swine breeds： Minzhu, Sanjiangbaizhu, Yorkshire, Landrace, Junmuyihao, Duroc and Double muscle Yorkshire. According to the sequences of MyoG, MyoD and Myf5 of swine in GenBank, sevent...The study objects includes seven swine breeds： Minzhu, Sanjiangbaizhu, Yorkshire, Landrace, Junmuyihao, Duroc and Double muscle Yorkshire. According to the sequences of MyoG, MyoD and Myf5 of swine in GenBank, seventeen pairs of primers for MyoG, MyoD and Myf5 were designed. PCR-SSCP technology was applied to detect SNPs of the exons of the three genes. The results showed that no polymorphism was in MyoG and MyoD, and some SNPs were in three exons of Myf5. There was one mutant site in the first exon of Myf5 （G → C）, three mutant sites in the second exon of Myf5 （C → A, A → G and G → A）; in the third exon of Myf5, there was one base A deficiency at 3 387 bp, three bases T deficiency at 3417 bp, one mutant site at 3443 bp （T → C）. This study obtained a tendency conclusion that gene frequency of allele M of Myf5 on the one hand is positively correlated with lean meat percentage, on the other hand is correlated with the orientation of selective breeding; it also deduced that allele F is possibly correlated with high lean meat percentage. Through statistical analysis, allele A, B, C of Myf5 have no obvious correlation with lean meat percentage of different swine breeds. In addition, the high polymorphism of Myf5 showed that seven swine breeds are rich in genetic variation, and have high selective competency.展开更多
Genetic selection in pigs through BLUP was very successful. However, strong selection mainly on growth and number of born alive decreased fitness and reduced environmental changes that animals can tolerate especially ...Genetic selection in pigs through BLUP was very successful. However, strong selection mainly on growth and number of born alive decreased fitness and reduced environmental changes that animals can tolerate especially under suboptimal environments. Additional challenges are genetic differences between purebreds (selected animals) and crossbreds (commercial animals), and possibly different environments for these groups of animals. A successful genetic selection at this time requires comprehensive data for all levels of the pyramid, multitrait models for a variety of traits including categorical and survival, and software that can implement complicated models while supporting large data sets. Many projects in pig genetic evaluation are carried out at the University of Georgia. Those studies are supported by software family called BGF90.展开更多
文摘The study objects includes seven swine breeds： Minzhu, Sanjiangbaizhu, Yorkshire, Landrace, Junmuyihao, Duroc and Double muscle Yorkshire. According to the sequences of MyoG, MyoD and Myf5 of swine in GenBank, seventeen pairs of primers for MyoG, MyoD and Myf5 were designed. PCR-SSCP technology was applied to detect SNPs of the exons of the three genes. The results showed that no polymorphism was in MyoG and MyoD, and some SNPs were in three exons of Myf5. There was one mutant site in the first exon of Myf5 （G → C）, three mutant sites in the second exon of Myf5 （C → A, A → G and G → A）; in the third exon of Myf5, there was one base A deficiency at 3 387 bp, three bases T deficiency at 3417 bp, one mutant site at 3443 bp （T → C）. This study obtained a tendency conclusion that gene frequency of allele M of Myf5 on the one hand is positively correlated with lean meat percentage, on the other hand is correlated with the orientation of selective breeding; it also deduced that allele F is possibly correlated with high lean meat percentage. Through statistical analysis, allele A, B, C of Myf5 have no obvious correlation with lean meat percentage of different swine breeds. In addition, the high polymorphism of Myf5 showed that seven swine breeds are rich in genetic variation, and have high selective competency.
文摘Genetic selection in pigs through BLUP was very successful. However, strong selection mainly on growth and number of born alive decreased fitness and reduced environmental changes that animals can tolerate especially under suboptimal environments. Additional challenges are genetic differences between purebreds (selected animals) and crossbreds (commercial animals), and possibly different environments for these groups of animals. A successful genetic selection at this time requires comprehensive data for all levels of the pyramid, multitrait models for a variety of traits including categorical and survival, and software that can implement complicated models while supporting large data sets. Many projects in pig genetic evaluation are carried out at the University of Georgia. Those studies are supported by software family called BGF90.
