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2.
Korean J Food Sci Anim Resour ; 38(5): 1109-1119, 2018 Oct.
Article in English | MEDLINE | ID: mdl-30479516

ABSTRACT

In this paper, we report the development of a nondestructive prediction model for lean meat percentage (LMP) in Korean pig carcasses and in the major cuts using a machine vision technique. A popular vision system in the meat industry, the VCS2000 was installed in a modern Korean slaughterhouse, and the images of half carcasses were captured using three cameras from 175 selected pork carcasses (86 castrated males and 89 females). The imaged carcasses were divided into calibration (n=135) and validation (n=39) sets and a multilinear regression (MLR) analysis was utilized to develop the prediction equation from the calibration set. The efficiency of the prediction equation was then evaluated by an independent validation set. We found that the prediction equation-developed to estimate LMP in whole carcasses based on six variables-was characterized by a coefficient of determination (Rv 2 ) value of 0.77 (root-mean square error [RMSEV] of 2.12%). In addition, the predicted LMP values for the major cuts: ham, belly, and shoulder exhibited Rv 2 values≥0.8 (0.73 for loin parts) with low RMSEV values. However, lower accuracy (Rv (2) =0.67) was achieved for tenderloin cuts. These results indicate that the LMP in Korean pig carcasses and major cuts can be predicted successfully using the VCS2000-based prediction equation developed here. The ultimate advantages of this technique are compatibility and speed, as the VCS2000 imaging system can be installed in any slaughterhouse with minor modifications to facilitate the on-line and real-time prediction of LMP in pig carcasses.

3.
Vet Microbiol ; 173(3-4): 249-57, 2014 Oct 10.
Article in English | MEDLINE | ID: mdl-25192767

ABSTRACT

Highly pathogenic H5N8 avian influenza viruses (HPAIVs) were introduced into South Korea during 2014, thereby caused outbreaks in wild birds and poultry farms. During the 2014 outbreak, H5N8 HPAIVs were isolated from 38 wild birds and 200 poultry farms (up to May 8, 2014). To better understand the introduction of these viruses and their relationships with wild birds and poultry farm, we analyzed the genetic sequences and available epidemiological data related to the viruses. Genetic analysis of 37 viruses isolated from wild birds and poultry farms showed that all of the isolates belonged to clade 2.3.4.6 of the hemagglutinin (HA) gene, but comprised two distinct groups. During the initial stage of the outbreak, identical isolates from each group were found in wild birds and poultry farms near Donglim Reservoir, which is a resting site for migratory birds, thereby indicating that two types of H5N8 HPAIVs were introduced into the lake at the same time. Interestingly, the one group of H5N8 HPAIV predominated around Donglim Reservoir, and the predominant virus was dispersed by wild birds among the migratory bird habitats in the western region of South Korea as time passed, and it was also detected in nearby poultry farms. Furthermore, compared with the results of the annual AIV surveillance of captured wild birds, which has been performed since 2008, more HPAIVs were isolated and H5 sero-prevalence was also detected during the 2014 outbreak. Overall, our results strongly suggest that migratory birds played a key role in the introduction and spread of viruses during the initial stage of the 2014 outbreak.


Subject(s)
Animals, Wild/virology , Disease Outbreaks/veterinary , Influenza A virus/genetics , Influenza in Birds/epidemiology , Poultry Diseases/epidemiology , Poultry Diseases/virology , Poultry/virology , Animals , Base Sequence , Birds , Disease Outbreaks/history , Genetic Variation , Hemagglutinins/genetics , History, 21st Century , Influenza A virus/classification , Likelihood Functions , Models, Genetic , Molecular Sequence Data , Phylogeny , Republic of Korea/epidemiology , Sequence Analysis, DNA/veterinary
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