The amount of Metcalfa pruinosa was higher in Cheonan and Geumsan, which are adjacent to Chungbuk province and in Taean, Dangjin, Asan, Cheonan adjacent to Gyeonggi province. These results demonstrate that M. pruinosa has spread from Chungbuk and Gyeonggi to Chungnam. As a result of investigating the spatial distribution characteristics of M. pruinosa eggs using SADIE, in 2017, the aggregation index(Ia) of 1.406 was close to the concentration distribution but in 2018, Ia of 1.102 was close to the random distribution. These results confirm that pests have spread throughout Chungnam. As a result of investigating the hosts that M. pruinosa larvae preferring, the results showed that most host preference with 38 species and 30 species in Asteraceae and Rosaceae, respectively. When the degree of occurrence was divided into four stages, the plants with the highest occurrence degree of 4 were Aralia elata, Styrax japonica, Ziziphus jujuba, Prunus cerasifera and Robinia pseudoacacia, in woody plant, and Rhododendron indicum, Rumex japonicus, Helianthus annuus, Humulus japonicus, and Cirsium japonicum in herbaceous plant. These plants can be used as a chemical substance that can attract larvae and adults before the laying of eggs. Therefore, we plan to utilize these plants to select incentives by studying behavioral responses of M. pruinosa.

양송이버섯에 발생하는 긴수염버섯파리에 대한 곤충병원성선충의 방제효과를 조사하였다. 양송이버섯에 발생하는 긴수염버섯파리 유충의 볏짚배지와 상토에서 30×30㎡ 내 밀도는 각각 평균 0.8마리와 22.2마리로 상토에서 월등히 높았다. 볏짚배지에 상토를 복토하고 첫관주 이후 2일간격 3회 관주시 곤충병원성 선충을 마지막 관주시 물대신 1회 곤충병원성선충을 살포한 시험구에서는 ㎡당 2.5×105 농도가 6.0×104 농도보다 약간 높은 방제효과를 보였고 2회 살포한 시험구에서는 살포 후 14일째에 각각 96.8%와 66.7%로 ㎡당 2.5×105 농도에서 높은 방제효과를 보였다. 따라서, 양송이버섯재배시 벗짚배지에 상토를 복토한 후 2일 간격 3회 관주처리 할 때 물대신 2일간격 2회 곤충병원성선충을 ㎡ 당 2.5×105 농도로 처리할 경우, 긴수염버섯파리 유충을 효과적으로 방제할 수 있을 것으로 판단된다.

돌발해충인 갈색날개매미충, 미국선녀벌레, 꽃매미, 갈색여치, 먹노린재, 목화진딧물과 남방계해충인 애멸구, 배추좀나방, 볼록총채벌레, 담배거세미나방, 풀색노린재를 대상으로 충청과 제주지역에서 발생실태를 조사한 결과, 농경지내 갈색여치, 목화진딧물은 화학약제의 사용으로 관찰이 쉽지 않았고 풀색노린재는 생태습성성상 관찰이 쉽지않아 이들 해충을 제외하고 발생실태를 조사하였다. 갈색날 개매미충은 충청지역의 경우 2017년까지는 집중분포 양상을 보이다 2018년 알조사에서부터는 임의분포를 보이기 시작하였고, 미국선녀벌레는 경기와 충북 지역과 인접한 곳에서 집중분포를 보였다. 제주지역의 경우 2017년 제주시 한림읍 협재리 인근에서 최초 발생하였다. 먹노린재는 2018년 최대발생양상을 보였고, 충남 서천, 청양, 홍성, 태안을 중심으로 대발생 양상을 보였다. 애멸구는 충남 공주와 서천에서 밀도가 높았다. 갈색날개매미충과 미국선녀벌레의 발생밀도는 낮게 조사되었으나 발생면적은 증가하였다. 볼록총채벌레는 충청지역 감나무에서 발견되었고 제주지역 감귤에서는 발견되지 않았으나 녹차밭에서는 발생량이 높았다. 추후 돌발 및 남방계 해충에 대한 위해성 평가를 통하여 발생가능성 정보를 제공할 계획이다.

The domestic natural enemy industry was formed by public institutions before the natural enemy companies were formed. In 1995, during the decentralization period, the technololgy of natural enemy breeding developed by the Rural Development Administration and the Agricultural Research Institute of each province were spread to the Agricultural Technology Centers of each county, Agricultural Technology Centers has supplied a large number of natural enemies to farmers for free. Since the beginning of the 2000s, when the first natural enemy company called Korea-IPM was created in Korea, the natural enemy industry boomed with the birth of Cecil Co., Ltd., a large natural enemy company. Prior to the birth of a natural enemy company, Domestic methods of using nautral enemies to release the natural enemies against the target pests and to test their effectiveness were similar to those of using chemicals. After then, the introduction of banker plant, a natural enemy protection plant, began to develop the concept of natural enemy protection limited to Aphidius colemani, and the effect was excellent. However, there were many cases where the success and failure of biological control were staggered because only the use value of the natural enemy for the target pest was dealt with. Therefore, in our laboratory, we are exploring and developing of the using method of trap plant that can concentrate densities by attracting insect pests. Also, when using a variety of natural enemies in a single plant, we are studying strategies to increase the pest control efficiency by identifying the interraction between natural enemies and determining their amount of releasing.

The objective of this study was to understand the conservation of gene resources and provide information for mass selection' of winter bud characters among the selected populations of Kalopanax septemlobus Koidz using analysis of variance(ANOVA) tests. The obtained results are shown below; 1. Ten populations of K. septemlobus were selected for the study of the variation of winter bud characters in Korea. The results of the analysis of variance(ANOVA) tests shows that there were statistically significant differences in all of the winter bud characters among those populations. 2. Correlation analysis shows that width between Height and DBH(Diameter at breast height) characters have negative relationship with all of the characters, as ABL(Apical branch length), ABW(Apical branch width), AWBL(Apical branch winter bud length), AWBW(Apical branch winter bud width), ABT(Apical branch No. of thorns), ABLB(Apical branch No. of lateral bud) and LBL(Lateral branch length), LBW(Lateral branch width), LBT(Lateral branch No. of thorns), LBLB(Lateral branch No. of lateral bud). 3. The result of principal component analysis(PCA) for winter buds showed that the first principal components(PC' s) to the fourth principal component explains about 78% of the total variation. The first principal component(PC) was correlated with AWBW, LWBW, and LBL and the ratio of ABL/ABW and LBL/LBW out of 16 winter bud characters. The second principal component correlated with ABL, ABW, ABLB, LWBL(Lateral branch winter bud length), and LBW and the ratio of AWBL/AWBW. The third principal component correlated with ABL, ABW, LWBL, LBL, and the ratio of LBL/LBW. The fourth principal component correlated with LBL and the ratio of LWBL/LWBW(Lateral branch winter bud width), LBL/LBW. Therefore, these characters were important to analysis of the variation for winter bud characters among selected populations of K. septemlobus in Korea. 4. Cluster analysis using the average linkage method based on 10 selected populations for the 16 winter bud characters of K. septemlobus in Korea showed a clustering into two groups by level of distance 1.1(Fig. 3). As can be seen in Fig. 3, Group I consisted of three areas(Mt. Sori, Mt. Balwang and Mt. Worak) and Group Ⅱ contisted of seven areas(Suwon, Mt. Chuwang, Mt. Kyeryong, Mt. Kaji, Mt. Jiri, Muan, and Mt. Halla). The result of cluster analysis for winter bud characters corresponded well with principal component analysis, as is shown in Fig. 2.