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1.
Prev Vet Med ; 138: 28-36, 2017 Mar 01.
Article in English | MEDLINE | ID: mdl-28237233

ABSTRACT

A discrete choice experiment (DCE) is carried out to value socio-economic factors influencing the farmer's decision to report swine diseases and to assess the willingness of farmers to report swine diseases. Data were collected between March and July 2015 in two provinces in the Red River Delta, Northern Vietnam, from 196 pig producers by face-to face interview. A conditional logit model is used to measure the relative importance of the socio-economic factors and calculate the expected probability of disease reporting under changes of levels of these factors. Results of the study indicated that the likelihood of compensation and the type of culling implemented (all or only unrecovered pigs) are the two most important factors influencing farmer reporting. Compensation level, movement restriction and delay in compensation payment also have significant impacts on farmer's decision to report animal disease but they are not as important as the above factors. Three different scenarios including changes in six different factors (attributes) are tested to predict probability of animal disease reporting. Under the current situation (uncertainty of being compensated), only 4% of the farmers would report swine disease outbreak to the official surveillance system if the culling policy involves all pigs in affected farms. This number is increased to 26% if culling in affected farms is restricted to unrecovered pigs only. Ensuring certainty of compensation increases reporting probability by up to 50% and 90% if all or only unrecovered pigs are destroyed, respectively. The results of this study are important for improving the performance and sustainability of swine disease surveillance system in Vietnam.


Subject(s)
Animal Husbandry/economics , Animal Husbandry/methods , Decision Making , Farmers/psychology , Mandatory Reporting , Swine Diseases/psychology , Adult , Aged , Animals , Disease Outbreaks/economics , Disease Outbreaks/prevention & control , Disease Outbreaks/veterinary , Female , Focus Groups , Humans , Interviews as Topic , Logistic Models , Male , Middle Aged , Motivation , Rivers , Socioeconomic Factors , Swine , Swine Diseases/economics , Swine Diseases/epidemiology , Swine Diseases/prevention & control , Vietnam/epidemiology
2.
G3 (Bethesda) ; 2(1): 99-102, 2012 Jan.
Article in English | MEDLINE | ID: mdl-22384386

ABSTRACT

Bcl2l2 encodes BCL-W, an antiapoptotic member of the BCL-2 family of proteins. Intercross of Bcl2l2 +/- mice on a mixed C57BL/6J, 129S5 background produces Bcl2l2 -/- animals with the expected frequency. In contrast, intercross of Bcl2l2 +/- mice on a congenic C57BL/6J background produces relatively few live-born Bcl2l2 -/- animals. Genetic modifiers alter the effect of a mutation. C57BL/6J mice (Mus musculus) have a mutant allele of nicotinamide nucleotide transhydrogenase (Nnt) that can act as a modifier. Loss of NNT decreases the concentration of reduced nicotinamide adenine dinucleotide phosphate within the mitochondrial matrix. Nicotinamide adenine dinucleotide phosphate is a cofactor for glutathione reductase, which regenerates reduced glutathione, an important antioxidant. Thus, loss of NNT activity is associated with increased mitochondrial oxidative damage and cellular stress. To determine whether loss of Bcl2l2 -/- mice on the C57BL/6J background was mediated by the Nnt mutation, we outcrossed Bcl2l2 congenic C57BL/6J (Nnt -/-) mice with the closely related C57BL/6JEiJ (Nnt +/+) strain to produce Bcl2l2 +/- ; Nnt +/+ and Bcl2l2 +/- ; Nnt -/- animals. Intercross of Bcl2l2 +/- ; Nnt +/+ mice produced Bcl2l2 -/- with the expected frequency, whereas intercross of Bcl2l2 +/- ; Nnt -/- animals did not. This finding indicates the C57BL/6J strain background, and possibly the Nnt mutation, modifies the Bcl2l2 mutant phenotype. This and previous reports highlight the importance of knowing the genetic composition of mouse strains used in research studies as well as the accurate reporting of mouse strains in the scientific literature.

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