This study was conducted to investigate the dispersion prediction of odor from swine farms in Korea. Gaussian Plume model used in considering of farm size, wind velocity, atmospheric stability and threshold odor unit to prediction of odor dispersion based on the survey on current state of odor emission and control from 48 site of swine farms. Farm size, wind velocity and atmospheric stability were affected the distance of odor dispersion, showed longer distance in cases of large farm, low wind velocity and stable atmospheric condition. We will suggestion the adjusted distance of odor dispersion according to farm size was estimated to 180 m in small farm and 320 m in large farm when apply the 3 OU, 5 m/s wind velocity and stable atmospheric condition.

The climate of the earth is expected to change rapidly and continuously. Despite climate change is expected to impact on productivity of crop and livestock, a study for adaptation and impact of livestock to global warming is not enough. This study was performed to develop a method to evaluate the effects of heat stress on dairy cattle. Feedlot environment and health status of livestock were measured through an infrared thermography camera and a temperature-humidity sensor. Environmental factors such as temperature and humidity were measured to calculate the Temperature humidity index (THI). The change of the milk yield was similar to THI data pattern, suggesting that THI might play an important role to predict the effect of climate change on dairy cattle. THI data would be useful to predict long-term climate change effects on dairy cattle with RCP8.5 scenario.

It is very important, if necessary, to remotely monitor and control the body conditions and behavior of livestock as well as the environment of stall using ubiquitous ict, in order to improve the health and productivity of livestock. With the aim of developing a stall management system, this study investigated users' needs, analyzed them to design systems, developed a web-system and an app for stall management, then applied them to a test-bed. The use of the app developed will make it easy for livestock farmers to easily monitor and control environment of stall using their smartphones and allow them to take care of stall more efficiently.

Environmental heat stress by global warming has a severe effect on the productivity of livestock and, in particular, on that of dairy cattle. Heat stress during high temperature environment directly and indirectly affects milk yield, milk quality and physiological response. This study was conducted to investigate the effects of heat stress on productivity and physiological responses of livestock. Temperature-humidity data logger were established inside the feedlot for measuring real time changes in the feedlot environment. Milk was collected every day for analysing the productivity of dairy cattle. Blood sample and respiration of dairy cattle were collected once in a week for investigating the physiological response factors. Blood component concentration associated with lipolysis metabolism and milk production showed change during tropical night period. Temperature humidity index (THI) of a specific location inside the feedlot showed continuously high levels.

This study was aimed at investigating a filtration bed system for the production of liquid fertilizer using wastewater generated after anaerobic digestion of animal manure. Slurry, Compost, & Biofiltration-Methane System, designed by Korean National Institute of Animal Science, is now a standard method to recycle anaerobic digestion wastewater. However, currently provided protocol to run the system needs continuous upgrades as the system is relatively new and can be more cost-effective if few adjustments are made. In this study, we tried to enhance the capability of the system to process anaerobic digestion wastewater by replacing the bed materials with the cheaper one, and determining the time point of operation from which filtrates can be utilized for fertilization.

This study was conducted to investigate the bacterial capability to accumulate phosphorus during liquid composting process of pig slurry. Storage liquid compost and pig slurry were analyzed by using MALDI-TOF technique, which showed the colonies of Acinetobacter towneri and Bacillus licheniformis. In addition, bacterial colonies were isolated under high phosphoric acid conditions using X-phosphate MOPS medium with the addition of 2 mM $K_2HPO_4$. Microbial growth was observed in high and low phosphoric conditions due to the growth of bacterial diversities in the liquid fertilizer and slurry. The colonies isolated in the high phosphoric acid medium were uncultured bacterium clone and Acinetobacter sp. were identified by analysis of 16S rRNA gene sequences. Uncultured bacterium showed higher growth rate and excellent phosphorus ability then Acinetobacter sp.. In addition to Paenibacillus sp. AEY-1 isolated from pig slurry performed excellent phosphorus utilizing capability.