• Asian-Australasian Journal of Animal Sciences
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• v.32 no.5
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• pp.742-747
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• 2019

Objective: A concentration of airborne bacteria generated from swine houses is recognized to be relatively higher than other work places and it is essential to optimally manage it to prevent farmers' respiratory diseases. This study was conducted to assess the distribution characteristics of airborne bacteria in swine houses located at South Korea. Methods: A total 27 pig buildings of the enclosed type operated with mechanical ventilation system by a side wall fan and deep-pit manure system with slats were surveyed. Air samples were collected at 1.0 m above the middle floor in pig housing room. A six-stage viable particulate cascade impactor was used to identify the distribution of the sizes of particles in diameter. Results: Seasonal mean levels of airborne bacteria in the housing rooms of gestation/farrowing pigs, nursery pigs and growing/fattening pigs were 3,428(${\pm}1,244$) colony forming unit $(cfu)/m^3$, $8,325({\pm}3,209)cfu/m$, and $13,254({\pm}6,108)cfu/m^3$ for spring; $9,824({\pm}2,157)cfu/m^3$, $18,254({\pm}5,166)cfu/m^3$, and $24,088({\pm}9,274)cfu/m^3$ for summer; $1,707({\pm}957)cfu/m^3$, $4,258({\pm}1,438)cfu/m^3$, and $8,254({\pm}2,416)cfu/m^3$ for autumn; and $2,322({\pm}1,352)cfu/m^3$, $6,124({\pm}1,527)cfu/m^3$ and $12,470({\pm}4,869)cfu/m^3$ for winter, respectively. Conclusion: Concentrations of airborne bacteria according to pig housing type were highest in growing/fattening housing room followed by nursery housing room and gestation/farrowing housing room. In terms of seasonal aspect, the pig building showed the highest levels of airborne bacteria in summer followed by spring, winter and autumn. The respirable airborne bacteria which are ranged between 0.6 and $4.7{\mu}m$ accounted for approximately 60% compared to total airborne bacteria regardless of pig housing type.

• Journal of The Korean Society of Agricultural Engineers
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• v.55 no.5
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• pp.25-35
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• 2013

In swine house, dust generation comes from various sources and is known to be harmful both for the animals and the farmers because the dust contains biological and gaseous matters. When farmers are constantly exposed to the dusts, they can suffer chronic or acute respiratory symptoms and have high probability of manifesting various diseases. To address this problem, understanding of the mechanism of dust generation is very important. In this paper, the dust concentration of inhalable, respirable, TSP and $PM_{10}$ were monitored and analyzed according to the pig-activity level, ventilation quantity and feeding method in fattening pig house. From the measured results, in case of the concentration of TSP, an inverse-linear relation with ventilation rate ($R^2=0.88$) and linear relation with the installation height of feed supply pipe ($R^2=0.73$) were determined. However in case of the concentration of $PM_{10}$, no particular relationship with the variables was observed. Using the concentration of inhalable and respirable dust based on the pig-activity level, multi-variate regression analysis was conducted and results have shown that the movement of pigs can contribute to the dust generation (p＜0.05, $R^2=0.71$, 0.61). The relationship determined between dust generation and environmental variables investigated in this study is very significant and useful in conducting dust-reduction researches.

• Journal of Animal Environmental Science
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• v.19 no.1
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• pp.25-32
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• 2013

This study was performed to analyse the concentration of odorous compounds in the piggeries. Piggeries for different types of pigs include piglets, growing pigs, gestating and lactating sows. Slurry from these piggeries was sampled every month for chemical analysis. Short chain fatty acid (SCFA) was 9,862 ppm (piglet), 8,410 ppm (growing pigs), 6,791 ppm (fattening pigs), 3,508 ppm (lactating sows) and 1,687 ppm (gestating sows). Branched chain fatty acid (BCFA) was 1,634 ppm (piglet), 1,206 ppm (growing pigs), 868 ppm (fattening pigs), 493 ppm (lactating sows) and 185 ppm (gestating sows). Concentration of phenols was 209 ppm (piglet), 166 ppm (growing pigs), 127 ppm (fattening pigs), 85 ppm (lactating sows) and 36 ppm (gestating sows). Indoles was 18 ppm (piglet), 14 ppm (growing pigs), 8 ppm (fattening pigs), 6 ppm (lactating sows) and 4 ppm (gestating sows). Altogether, concentration of odorous compounds was decreased as pigs got aged.

• Korean Journal of Microbiology
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• v.53 no.2
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• pp.146-148
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• 2017

We sequenced the genome of Lactobacillus reuteri KLR3004 strain isolated from a fattening pig in South Korea. The sequences were assembled into a draft genome containing 1,996,237 bp with a G+C content of 38.75% and 1,837 predicted protein-coding sequences in 149 contigs.

• Asian-Australasian Journal of Animal Sciences
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• v.29 no.5
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• pp.739-746
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• 2016

A total of 152 pig farms were randomly selected from the five provinces in South Korea. During the experiment, the average temperature and relative humidity was $24.7^{\circ}C$ and 74% in summer and $2.4^{\circ}C$ and 53% in winter, respectively. The correlation between floor space allowance (FSA) and productivity index was analyzed, including non-productive sow days (NPD), number of weaners (NOW), survival rate (SR), appearance rate of A-grade pork (ARA), and days at a slaughter weight of 110 kg (d-SW) at different growth stages. The objectives of the present study were i) to determine the effect of FSA on the pig productivity index and ii) to suggest the minimum FSA for pigs based on scientific baseline data. For the pregnant sow, NPD could be decreased if pregnant sows were raised with a medium level (M) of FSA (3.10 to $3.67m^2/head$) while also keeping the pig house clean which improves hygiene, and operating the ventilation system properly. For the farrowing sows, the NOW tended to decrease as the FSA increased. Similarly, a high level of FSA (H) is significantly negative with weaner SR of farrowing sows (p-value = 0.017), indicating this FSA tends to depress SR. Therefore, a FSA of 2.30 to $6.40m^2/head$ (very low) could be appropriate for weaners because a limited space can provide a sense of security and protection from external interruptions. The opposite trend was observed that an increase in floor space (> $1.12m^2/head$ leads to increase the SR of growing pigs. For the fattening pigs, H level of FSA was negatively correlated with SR, but M level of FSA was positively correlated with SR, indicating that SR tended to increase with the FSA of 1.10 to $1.27m^2/head$. In contrast, ARA of male fattening pigs showed opposite results. H level of FSA (1.27 to $1.47m^2/head$) was suggested to increase productivity because ARA was most affected by H level of space allowance with positive correlation ($R^2=0.523$). The relationship between the FSA and d-SW of fattening pigs was hard to identify because of the low $R^2$ value. However, the farms that provided a relatively large floor space (1.27 to $1.54m^2/head$) during the winter period showed d-SW was significantly and negatively affected by FSA.

• Journal of Animal Environmental Science
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• v.19 no.2
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• pp.89-94
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• 2013

This study was performed to investigate the effect of beet plup and IRG (Italian ryegrass) dry powder in fattening pig diet on reducing concentration of odorous compounds in the pig slurry. Fifty fattening boars [(Landrace ${\times}$ Yorkshire) ${\times}$ Duroc] were randomly assigned to one of 3 treatments (control, beet plup 5%, and IRG 5%). Pigs (BW 50~110 kg) were fed diets formulated to meet the Korean Feeding Standard (2012) and their excretion was collected from the slurry pits. Short chain fatty acid (SCFA) and branched chain fatty acid (BCFA) were higher in beet plup (31,786, 3,985 ppm) and IRG (32,755, 4,261 ppm) treatments, which was not different among treatments (p>0.05), compared to control (p<0.05). Concentrations of phenols and indoles were highest in beet plup (183.83, 168.59 ppm) and IRG (9.32, 8.92 ppm) treatments. Altogether, addition level of two contents was not appropriate to decrease concentration of odorous compounds.

• Journal of Animal Environmental Science
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• v.18 no.sup
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• pp.41-46
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• 2012

This study was performed to test the effect of horseradish powder in fattening pig diet on odorous compound concentration from manure. Twenty fattening boars [Landrace ${\times}$ Yorkshire) ${\times}$ Duroc] weighing an average body weight of $68.4{\pm}4.95}$ kg were randomly assigned to one of 4 treatments (horseradish level in diets: 0, 0.01, 0.02, 0.03%) based on their body weight. This experiment was a randomized complete block (RCB) design using 5 pigs per treatment with 1 pig per metabolizable cage. Pigs were fed experimental diet (amount proportional to 3% of their body weight) twice a day (09:00 and 16:00) for 7 d after having 14 d adaptation period. Experimental diets were mixed with water by 1:2.5 v/v. Concentration of volatile fatty acids (VFAs) was highest (p<0.05) when pigs fed diet with 0.02% horseradish powder. Level of phenol compounds including phenol and p-cresol were decreased (p<0.05) in 0.01~0.02% horseradish treatment group compared with control group. Concentration of indoles including indole and skatole was lowest (p<0.05) in 0.03% horseradish treatment group compare to others. Therefore, results from our current study suggest that the optimal levels of horseradish powder in diet for reducing phenol and indole compounds in pig manure were 0.02 and 0.03%, respectively.

• Korean Journal of Veterinary Research
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• v.52 no.1
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• pp.45-52
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• 2012

The present study was carried out to investigate the effect of barley and barley bran contaminated with Fusarium spp on growth performance and feed efficiency of fattening and growing pigs. In experiment 1, total 48 fattening Landrace pigs were used in a fattening trial for 71 days. Pigs weighing around 75 kg were allocated into different substitution groups containing 0, 10, 20 and 30% of barley contaminated Fusarium spp. In experiment 2, total 16 growing Landrace pigs were used in a growing trial for 45 days. Pigs weighing around 29.4 kg were allocated into different substitution groups containing 0, 5, 10 and 20% of barley bran contaminated Fusarium spp. Mycotoxin concentrations of barley and barley bran contaminated with 30% Fusarium spp were 0.452 and 1.049 ppm for deoxynivalenol, 8.125 and 17.646 ppm for nivalenol and 0.023 and 0.029 ppm for zearalenone, respectively. In experiment 1, no differences were found in weight gain and feed intake between control group (0%) and 10 or 20% substitution groups, but in 30% substitution group, weight gain and feed intake were significantly lower (p < 0.05) than those in control group. After slaughtering, the extended haemorrhage of the fundus region in stomach was observed in 20 or 30% substitution groups. In experiment 2, weight gain and feed intake were not significantly different among treatment groups. After slaughtering of experimental pigs, the extended haemorrhage of the fundus region in stomach was observed in pigs fed diet with 20% substitution group. These results suggest that the feeding of diet with contaminated highly levels of Fusarium spp was negative effect on growth and feed efficiency in growing and fattening pig.

• Journal of The Korean Society of Agricultural Engineers
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• v.62 no.6
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• pp.33-42
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• 2020

Emission factors for ammonia and particulate matters (PMs) from livestock buildings are of increasing importance in view of the environmental protection. While the existing emission factors were determined based on the emission inventory of other countries, in situ measurement of emission factors is required to construct an accurate emission inventory for Korea. This study is to report measurements of ammonia and PMs emissions from mechanically-ventilated pig houses, which are common types of pig barns in Korea. Ventilation rates and concentrations of ammonia and PMs were measured at the ventilation outlets of a weaner unit, a growing pig unit and a fattening pig unit to calculated the emission factors. The PMs emission was characterized with different aerodynamic diameters (PM_2.5, PM₁₀, and total suspended particulates (TSP)). The measured ammonia emission factors for weaners, growing pigs and fattening pigs were 0.225, 0.869 and 1.679 kg animal^-1 yr^-1, respectively, showing linear increase with pigs' age. The PMs emission factors for three growing stages were 0.023, 0.237 and 0.241 kg animal^-1 yr^-1, respectively for TSP, 0.017, 0.072 and 0.223 kg animal^-1 yr^-1, respectively for PM₁₀, and 0.011, 0.016 and 0.151 kg animal^-1 yr^-1, respectively for PM_2.5. PMs emissions were increased with pigs' age due to increasing feed supply and animal movement. The measured emission factors were smaller than those of the existing emission inventory indicating that the existing ones overestimate the emissions from pig buildings and also suggesting that long-term in situ monitoring at various livestock buildings is required to construct the accurate emission inventory.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.33-40
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• 2024

The live weight of livestock is important information for managing their health and housing conditions, and it can be used to determine the optimal amount of feed and the timing of shipment. In general, it takes a lot of human resources and time to weigh livestock using a scale, and it is not easy to measure each stage of growth, which prevents effective breeding methods such as feeding amount control from being applied. In this paper, we aims to improve the accuracy of weight measurement of piglets, weaned pigs, nursery pigs, and fattening pigs by collecting, analyzing, learning, and predicting video and image data in animal husbandry and pig farming. For this purpose, we trained using Pytorch, YOLO(you only look once) 5 model, and Scikit Learn library and found that the actual and prediction graphs showed a similar flow with a of RMSE(root mean square error) 0.4%. and MAPE(mean absolute percentage error) 0.2%. It can be utilized in the mammalian pig, weaning pig, nursery pig, and fattening pig sections. The accuracy is expected to be continuously improved based on variously trained image and video data and actual measured weight data. It is expected that efficient breeding management will be possible by predicting the production of pigs by part through video reading in the future.