종자의 수입 시, 검역관련 종자전염바이러스는 가장 문제가 되는 식물병이다. 본 연구에서 PCR 검역체계가 보고되지 않은 3종의 종자전염바이러스, Cherry rasp leaf virus (CRLV), Spinach latent virus (SpLV) 및 White clover mosaic virus (WClMV)를 검출하기 위하여 reverse transcription polymerase chain reaction (RT-PCR)과 nested polymerase chain reaction (nested PCR) 방법을 도입하였다. 각각의 바이러스별로 2 세트의 RT-PCR primer가 선발되었으며, 증폭산물에서 더욱 높은 감도로 검출 할 수 있는 nested PCR primer set를 개발하였다. 본 연구에서 사용한 RT-PCR과 nested PCR 방법은 종자로부터 CRLV, SpLV 및 WClMV를 검역하는 고효율적 진단시스템으로 제공될 것이다.

Entropy is a measure of disorder or uncertainty. This terminology is qualitatively used in the understanding of its correlation to pollution in the environmental area. In this research, three different entropies were defined and characterized in order to quantify the qualitative entropy previously used in the environmental science. We are dealing with newly defined distinct entropies E1, E2, and E3 originated from Shannon entropy in the information theory, reflecting concentration of three major green house gases CO2, N2O and CH4 represented as the probability variables. First, E1 is to evaluate the total amount of entropy from concentration difference of each green house gas with respect to three periods, due to industrial revolution, post-industrial revolution, and information revolution, respectively. Next, E2 is to evaluate the entropy reflecting the increasing of the logarithm base along with the accumulated time unit. Lastly, E3 is to evaluate the entropy with a fixed logarithm base by 2 depending on the time. Analytical results are as follows. E1 shows the degree of prediction reliability with respect to variation of green house gases. As E1 increased, the concentration variation becomes stabilized, so that it follows from linear correlation. E2 is a valid indicator for the mutual comparison of those green house gases. Although E3 locally varies within specific periods, it eventually follows a logarithmic curve like a similar pattern observed in thermodynamic entropy.