The purpose of this study was to establish the optimal growth temperature and to select genetic resources for production of cowpea sprouts. Seowon was treated between 15°C and 30°C at intervals of 3°C to investigate growth temperature. Twelve resources, including Seowon, IT154149, IT154153, Tvu7426, and Tvu7778, were used for cultivating sprouts at a temperature of 27°C. The yield ratio of cowpea sprouts was highest at 27°C (657%), and was reduced when growth temperature was decreased. The hard seed rate was lower when the growth temperature was increased. Vitamin C content was highest at 24°C (2.85 mg/g), ranged between 2.15 and 2.29 mg/g at other growth temperatures, and increased with the length of the growth period. The inorganic component content of cowpea sprouts did not vary based on growth temperature, while the amino acid content increased with increasing growth temperature between 15°C and 24°C, and then subsequently decreased as growth temperature rose from 24°C to 30°C. IT154153 had the highest yield ratio of cowpea sprouts per genetic resource (647%), followed by Seowon (615%), and Tvu7426 (608%). Genetic resources with a higher yield ratio had smaller seeds, a thinner seed coat, and superior germinability. The inorganic components found at highest concentrations in the cowpea sprouts were potassium, magnesium, calcium, sodium, iron, molybdenum, and zinc (in that order). In comparison to raw seeds, the protein, calcium, zinc, molybdenum, and iron content in the cowpea sprouts was higher, while the content of aluminum and boron was lower.

본 연구에서는 PRMS, SLURP, SWAT 모형을 이용하여 유출모형에 따라 수자원의 기후변화 영향평가 결과에서 발생할 수 있는 차이를 평가하였다. 이를 위해 먼저 각 모형을 안동댐유역에 적용하여 관측자료에 대한 모의능력을 비교하였다. 그 다음 기온과 강수 변화를 가정한 합성시나리오 상황에서 각 모형별 모의결과를 비교하였다. 분석결과 세 모형은 관측기간에 대해서는 관측유량에 근접한 모의를 하였다. 그러나 강수와 기온의 변화를 고려하였을 경우에는 유출량