[ Objective] The research aimed to provide theoretical basis for further popularization and application of Berkshire Pig in Southeast Guizhou. [ Method] The carcass traits and meat quality of Berkshire(B) × Lan...[ Objective] The research aimed to provide theoretical basis for further popularization and application of Berkshire Pig in Southeast Guizhou. [ Method] The carcass traits and meat quality of Berkshire(B) × Landrace(L) × Yorkshire(Y), Duroc(D) × Landrace(L) x Yorkshire(Y) and Lanclrace (L) xYorkshire(Y) were determined by slaughter test. And the application effect of Berkshire in the minority areas was analyzed. [Result] From the carcass traits, the hybridized pig of Berkshire(B) x Landrace(L) ×Yorkshire(Y) had higher slaughter rate and lower lean meat percentage, having extremely significant difference with Landrace (L) × Yorkshire (Y) and significant difference with Durec (D) × Landrace (L) × Yorkshire(Y). The meat indices of Berkshire(B) × Landrace(L) ×Yorkshire(Y) were better than that of Landrace (L) ×Yorkshire(Y) and Duroc (D)× Landrace(L) ×Yorkshire(Y). The eye muscle area of Berkshire(B) ×Landrace(L) xYorkshire(Y) had extremely significant difference with Landrace (L) × Yorkshire(Y) and significant difference with Duroc(D) × Landrace(L) × Yorkshire(Y). The meat color, marbling and cocking percentage and other meat indices were similar with that of Jianhe White Xiang Pig, Nayong Nuogu Pig and Cola Pig. [ Conclusion] Berkshire(B) × Landrace(L) xYorkshire(Y) was more suiTab, for residents in the minority mountain areas, so it was worthy to be popularized.展开更多
为提高基于位置的社交网络服务(location-based social network service,LBSN)中地点推荐的准确率,提出一种结合社交关系和位置信息的地点推荐算法(social and location collaborative filtering,SL-CF)。以社会学六度分割理论为基础,...为提高基于位置的社交网络服务(location-based social network service,LBSN)中地点推荐的准确率,提出一种结合社交关系和位置信息的地点推荐算法(social and location collaborative filtering,SL-CF)。以社会学六度分割理论为基础,计算对用户的信任度,获得信任用户,与相似用户融合生成邻居用户,根据融合过程中的推荐因子建立基于社交关系的预选推荐集,采用用户历史签到信息的位置影响对预选推荐列表过滤,获得推荐结果。在Foursquare数据集上的实验结果表明,该算法可以缓解数据稀疏性以及冷启动问题,验证了该算法的准确性和可行性。展开更多
基金Supported by Key Project by Department of Science and Technology in Guizhou Province(Qiankehe 2011-5020)
文摘[ Objective] The research aimed to provide theoretical basis for further popularization and application of Berkshire Pig in Southeast Guizhou. [ Method] The carcass traits and meat quality of Berkshire(B) × Landrace(L) × Yorkshire(Y), Duroc(D) × Landrace(L) x Yorkshire(Y) and Lanclrace (L) xYorkshire(Y) were determined by slaughter test. And the application effect of Berkshire in the minority areas was analyzed. [Result] From the carcass traits, the hybridized pig of Berkshire(B) x Landrace(L) ×Yorkshire(Y) had higher slaughter rate and lower lean meat percentage, having extremely significant difference with Landrace (L) × Yorkshire (Y) and significant difference with Durec (D) × Landrace (L) × Yorkshire(Y). The meat indices of Berkshire(B) × Landrace(L) ×Yorkshire(Y) were better than that of Landrace (L) ×Yorkshire(Y) and Duroc (D)× Landrace(L) ×Yorkshire(Y). The eye muscle area of Berkshire(B) ×Landrace(L) xYorkshire(Y) had extremely significant difference with Landrace (L) × Yorkshire(Y) and significant difference with Duroc(D) × Landrace(L) × Yorkshire(Y). The meat color, marbling and cocking percentage and other meat indices were similar with that of Jianhe White Xiang Pig, Nayong Nuogu Pig and Cola Pig. [ Conclusion] Berkshire(B) × Landrace(L) xYorkshire(Y) was more suiTab, for residents in the minority mountain areas, so it was worthy to be popularized.
文摘为提高基于位置的社交网络服务(location-based social network service,LBSN)中地点推荐的准确率,提出一种结合社交关系和位置信息的地点推荐算法(social and location collaborative filtering,SL-CF)。以社会学六度分割理论为基础,计算对用户的信任度,获得信任用户,与相似用户融合生成邻居用户,根据融合过程中的推荐因子建立基于社交关系的预选推荐集,采用用户历史签到信息的位置影响对预选推荐列表过滤,获得推荐结果。在Foursquare数据集上的实验结果表明,该算法可以缓解数据稀疏性以及冷启动问题,验证了该算法的准确性和可行性。