1. The phenotypic characteristics and relational database for Vietnamese native pig populations
- Author
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Masaaki Taniguchi, Ngo Thi Kim Cuc, Satoshi Mikawa, Fukuhiro Yamasaki, Aisaku Arakawa, Shinya Ishihara, Pham Hai Ninh, Masaru Takeya, Nguyen Cong Dinh, and Kazuhiro Kikuchi
- Subjects
Swine ,Relational database ,characteristics ,Field data ,Vietnamese ,Population ,03 medical and health sciences ,Multiple correspondence analysis ,Animals ,database ,030304 developmental biology ,0303 health sciences ,Data collection ,0402 animal and dairy science ,Original Articles ,04 agricultural and veterinary sciences ,General Medicine ,Field survey ,040201 dairy & animal science ,language.human_language ,Visual inspection ,Phenotype ,Geography ,Vietnam ,Databases as Topic ,language ,Original Article ,native pigs ,General Agricultural and Biological Sciences ,Cartography - Abstract
Although there are a number of Vietnamese native pig (VnP) populations, some are on the verge of extinction, and therefore adequate management and conservation are necessary. In this study, we conducted a field survey of VnP populations and analyzed interrelationships among their characteristics. We also established a relational database for management of field data on these populations. For data collection, we conducted interviews with farmers and visual inspection of 32 VnP populations in 22 provinces of Vietnam, as well as taking photographs of individual animals. Data on the characteristics of VnP populations were subjected to multiple correspondence analysis (MCA). For establishment of the database, normalization and table partitioning were performed to eliminate redundancy and ensure consistency of the collected data items. Passport data, characteristics data, and image data were collected from a total of 1,918 VnPs and entered as a normalized table. Upon MCA, most of the populations were not separated from each other, but the Mong Cai, O Lam, and Chu Prong populations were separated from the other populations. Thus, we have constructed a relational database from comprehensive information on the characteristics of VnP populations.
- Published
- 2020
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