• 제목/요약/키워드: community welfare center

검색결과 572건 처리시간 0.02초

답전윤환 포장 내 옥수수 및 수수 품종들에 대한 조명나방 발생 특성 (Characterization of Ostrinia furnacalis (Lepidoptera: Pyralidae) Occurrence Against Maize and Sorghum Varieties in a Paddy-upland Rotation Field)

  • 김민준;윤성탁;이희권;조형찬;김순일
    • 한국응용곤충학회지
    • /
    • 제55권4호
    • /
    • pp.329-336
    • /
    • 2016
  • 답전윤환 옥수수 8품종 및 수수 7품종 재배포장에서 조명나방 발생 및 수확 특성을 조사하였다. 매주 이뤄진 성충 트랩 조사에서 조명나방 밀도는 정식 2주 후부터 급격히 증가하여 6월 중순에 최성기에 도달 후 감소하다 9월 초 소폭 증가 후 감소하였다. 조명나방 유충에 의한 피해주수와 침입공수를 매주 옥수수 미백2호와 대학찰 그리고 수수 남풍찰과 동안메를 대상으로 조사하였다. 그 결과, 대학찰과 미백2호에서 피해주가 각 20주당 19주와 18주였고, 주당 침입공수도 6월말부터 꾸준히 증가하여 수확기인 7월말에 대학찰은 주당 평균 1.8개, 미백2호는 1.4개로 나타났다. 수확기에 옥수수 8품종에 대한 피해율과 침입공수를 조사한 결과, 대학찰 94%, 미백2호 92%, 일미찰 71%, 얼룩찰1호 64%, 찰옥4호 54%, 미흑찰 52%, 흑점2호 45%이었다. 주당 침입공수는 일미찰이 1.21개였고 나머지 품종들에서는 1개 미만이었다. 또한 옥수수 각 품종별로 이삭 10개씩 3반복으로 조명나방 유충에 의한 이삭 피해율을 조사한 결과, 일미찰 50%, 흑진주찰 40%, 대학찰 37%, 미흑찰과 흑점2호 13%, 얼룩찰 7% 그리고 미백2호 3% 등이었다. 수수 주요 재배품종들인 남풍찰 및 동안메는 정식 후 2개월까지 20주 평균 4주 미만으로 피해를 입다가 8월 초에 피해가 급증하여 평균 피해주는 남풍찰이 13주, 동안메는 9.2주였고 주 당 침입공수도 8월 초부터 나타나기 시작해 남풍찰은 주당 평균 1.06개, 동안메는 주당 평균 0.46개였다. 수확기 수수 품종별 조명나방에 의한 피해율을 조사한 결과, DS-202 95%, 목탁수수 76%, 소담찰 75%, 남풍찰 67%, 앉은뱅이수수 57%, 동안메 46% 그리고 황금찰 34%로 7품종 모두 조명나방에 의해 높은 피해를 입었다. 침입공수 또한 피해율에 비례해서 DS-202(1.7개), 목탁수수(1.4개), 소담찰(1.3개), 남풍찰(1.1개), 앉은뱅이수수(1개), 동안메(0.5개) 그리고 황금찰(0.4개)로 관찰되었다. 한편, 답전윤환 옥수수 및 수수 포장에서 조명나방 피해와 수확 특성은 인과관계를 보이지 않는 것으로 나타났다. 이상의 결과는 답전윤환 옥수수 및 수수 재배포장에서 조명나방의 관리대책을 구축하는데 활용될 수 있을 것으로 기대한다.

장애인의 치료만족도에 따른 지역사회중심재활에 관한 연구 (The status of care satisfactions of the disabled persons with community-based rehabilitation plan)

  • 이인학;박래준;김미란
    • The Journal of Korean Physical Therapy
    • /
    • 제10권2호
    • /
    • pp.13-32
    • /
    • 1998
  • A questionaire was conducted to obtain ran satisfactions in information of the 325 disabled persons among the total 9,314 handicapped people in Taejon area, and was surveyed during the period of June 1 to August 31, 1997. The results are as follows: 1. Among the studied disabled persons, $54.5\%$ of male, and $45.5\%$ of female. 2. Before disabled in occupation, $32.0\%$ of out of work group were high, $6.5\%$ of farm, student group were low. Before disabled in occupation by gender, male group is $29.9\%$ of out of work group were high, $0.6\%$ of housework group were low. female group is$34.5\%$ of out of work group were high, $4.7\%$ of student group were low(P<0.001). 3. After disabled in occupation, $75.1\%$ of out of work group wert high, $10.8\%$ of in working group were low. After disabled in occupation by gender, male group is $87.6\%$ of out of work group were high, $1.7\%$ of housework group were low. female group is $60.1\%$ of out of work group were hgh, $10.8\%$ of in working group were low(P<0.001). 4. Medical security status, $64.9\%$ of medical aid group wore high, $35.1\%$ of medical insurance group were low. Medical security status by gender, male group is $71.2\%$ of medical aid group were high, $28.8\%$ of medical insurance group were Iew. female group is $57.4\%$ of medical aid group wan high, $42.6\%$ of medical insurance were low(P<0.01). 5. Disabled record status, $68.6\%$ of record group were high, $31.4\%$ of non group were low. Disabled record status by gender, male group is $78.5\%$ of record group were high, $21.5\%$ of non record group were low. female group is $56.6\%$ of record group were high, $43.4%$ of non record group were low(P<0.001). 6. Disabled duration status, $42.2\%$ of loss than 9 year group were high, $10.2\%\;of\;20-29,\;30-39$ year group were low. Disabled duration status by gender,'male group is $44.6\%$ of less than 9 year group were high, $6.2\%$ of 20-29 year group wert low. female group is $39.2\%$ of less than 9 year were high, $39.2\%$ of 30-39 year group were low (P<0.05). 7. Cause of disabled status, $26.5\%$ of other group, $23.7\%$ of congenital group were high. $9.2\%$ of unknown group, $6.8\%$ of industry accident, $2.5\%$ of drug poisoning group were low. Cause of disabled status by gender, male group is $27.7\%$ of other group, $23.7\%$ of congenital group were high, $2.3\%$ drug poisoning group were low. female group is $25.0\%$ of other group, $20.9\%$ of congenital group were high, $2.5\%$ of drug poisoning group were low (P<0.001). 8. Disabled type status, $19.4\%$ of double disabled group were high, $2.2\%$ of muscle paralysis group were low. Disabled type status by gender, male group is $22.0\%$ of double disabled group were high, $2.3\%$ of muscle paralysis group were low. female group is $23.3\%$ of rheumatism group were high, $0.7\%$ of amputation group were low(P<0.001). 9. Smoking status, $73.2\%$ of non smoking group were high, $26.8\%$ of smoking group were low. Smoking status by gender, male group is $59.9\%$ of double non smoking group were high, $40.1\%$ of Smoking group were low, female group is $89.2\%$ of non smoking group were high, $10.8\%$ of smoking group were low(P<0.001). 10. Drinking status, $80.0\%$ of non drinking group were high, $20.0\%$ of drinking group were low. Drinking status by gender, male group is $72.3\%$ of non drinking group were high, $27.7\%$ of drinking group were low. female group is $89.2\%$ of non drinking group were high, $10.8\%$ of drinking group were low(P<0.001). 11. Stress level status, $52.9\%$ of high stress group were high, $1.8\%$ of very severe stress group were low. Stress level status by gender, male group is $50.8\%$ of high stress group were high, $2.3\%$ of very severe stress group were low. female group is $55.4\%$of high stress group were high, $1.4\%$ of very severe stress group were low. 12. Heed status, $28.0\%$ of economic support were high, $4.6\%$ of speech therapy, brace group were low. Need status by Sender, male group is $2i2\%$ of economic support group were high, $4.5\%$ of bracegroup were low. female group is$27.7\%$ of economic support group were high, $3.4\%$ of speech therapy group were low. 13. Care satisfaction comparision, 3.09, 0.55 point of IBR, 4.01, 0.45 point of CHR(P<0.001). 14. The variables which had positive correlation with IBR were gender(r=0.1406, P<0.01), age(r=0.1872, p<0.001), economic level(r=0.1246, P<0.05), disabled record(r=0.1137, P<0.05), education level(r=-0.1122. p<0.05). 15. The variables which had positive : correlation with CBR were gender(r=0.1613, P<0.01), age(r=0.2255, P<0.001). list of family(r=0.12i3, P<0.01), disabled record(r=0.1273, P<0.05). education level(r=-0.1294, P<0.01).

  • PDF