• Journal of agriculture & life science
• /
• v.50 no.2
• /
• pp.95-105
• /
• 2016

This study was conducted to evaluate the effects of nitrate-rich plants extracts on the in vitro rumen fermentation characteristics and rumen methane production. The extracts of nitrate-rich plants, as potato, carrot, chinese cabbage, lettuce and spinach were used in this study. The ruminal fluid was collected from a cannulated Hanwoo cow fed concentrate and timothy in the ratio of 6 to 4. The 20mL of mixture, comparing McDougall's buffer and rumen fluid in the ratio 2 to 1, was dispensed anaerobically 50mL serum bottles containing 0.3g of timothy substrate and extracts of nitrogen-rich plants. The serum bottles were incubated 39℃ for 9, 12, 24, 48 hours. The pH value was decreased by increased incubation times and normal range to 6.31 to 6.96. The dry matter digestibility was significantly(p<0.05) lower in chinese cabbage than in control at 9h incubation time. Ammonia concentration was significantly(p<0.05) lower in potato, chinese cabbage, lettuce than in control and the rumen microbial growth rate was significantly(p<0.05) higher in carrot than in control at 24h incubation time. The concentrations of acetate and propionate was significantly(p<0.05) lower in treatment than in control. The concentration of butyrate was showed a different pattern depending on treatments. Total gas emissions was significantly(p<0.05) lower in chinese cabbage, lettuce, spinach than in control at 12h, 24h incubation time. Methane production was significantly(p<0.05) lower in potato, chinese cabbage, spinach than in control, carbon dioxide production was significantly(p<0.05) lower in treatment than in control. In conclusion, supplementation of the nitrate-rich plant extracts in ruminal fermentation in vitro resulted in decreasing the methane production without adversely affecting the fermentation characteristics. Particularly the chinese cabbage extract was regard as a potential candidate for reducing the methane emission in ruminants.

• Korean Journal of Remote Sensing
• /
• v.39 no.2
• /
• pp.247-253
• /
• 2023

As climate change problem has recently become serious, studies are being conducted to identify carbon dioxide (CO₂) emission dynamics based on satellite data to reduce emissions. It is also very important to analyze spatial patterns by estimating and mapping CO₂ emissions dynamic. Therefore, in this study, CO₂ emissions in the Korean Peninsula from 2013 to 2020 were estimated and mapped. To spatially estimate and map emissions, we use the enhanced vegetation index adjusted nighttime light index, an index that combines nighttime light (NTL) and vegetation index, to map both areas where NTL is observed and areas where NTL is not observed. In order to spatially estimate and map CO₂ emissions, the total annual emissions of the Korean Peninsula were calculated, resulting in an increase of 11% from 2013 to 2017 and a decrease of 13% from 2017 to 2020. As a result of the mapping, it was confirmed that the spatial pattern of CO₂ emissions in the Korean Peninsula were concentrated in urban areas. After being divided into 17 regions, which included the downtown area, the metropolitan area accounted for roughly 40% of CO₂ emissions in the Korean Peninsula. The region that exhibited the most significant change from 2013 to 2020 was Sejong City, showing a 96% increase.