• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 2001.04b
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• pp.65-66
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• 2001

제주도의 감자재배면적은 전국의 30.6%를 차지하고 있으며 본도 제2의 소득작물로 자리잡고 있는데 최근 국내외적으로 친환경농산물에 대한 관심이 고조됨에 따라 안전농산물에 대한 수요가 늘면서 유기농업자제를 이용한 고품질 안전 농산물을 생산하려는 시도가 늘어가고 있다. 이런 관점에서, 키토산을 \circled1토양처리 (1kg/a), \circled2키토산침지 (0.2%/30분), \circled3토양처 리＋생육기처리 100배 (2회), \circled4토양처리＋생육기처리 200배 (2회), \circled5생육기처리 100배 (2회), \circled6생육기처리＋200배 (2회), \circled7무처리로 구분하여 시험하였다. 발아율은 대조구에 비해서 종서침지, 토양관주＋생육기 200배처리, 생육기 200배처리한 것이 다소 높은 편이었고, 경장 경수 및 복지수는 시일이 경과할수록 많은 편이고 그 중에서 종서침지가 가장 양호한 편이었다. 그리고 10a당 총수량, 상서수량 및 설서수량(30g이하인 괴경)은 역시 종서침지, 토양관주＋생육기 200배 (2회)처리 및 토양관주＋생육기 100배처리 순서로 상서수량이 많은 편이었다. 처리별 상서수량은 종서침지한 것이 71%, 29%로 가장 많았고 토양관주＋생육기 100배처리한 것이 대조구보다 많은 경향이었다(Table 1).

• KOREAN JOURNAL OF CROP SCIENCE
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• v.61 no.1
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• pp.70-77
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• 2016

The object of this study was to evaluate the effects of climatic elements on potato yield and create a model for estimating the potato yield. We used 35 yield data of Sumi variety produced in mulching cultivation from 17 regions over 11 years. According to the results, some climatic elements showed significant level of correlation coefficient with marketable yield of potato. Totally 22 items of climatic elements appeared to be significant. Especially precipitation for 20 days after planting (Prec_1 & 2), relative humidity during 11~20 days after planting (RH_2), precipitation for 20 days before harvest (Prec_9 & 10), sunshine hours during 50~41 days before harvest (SH_6) and 20 days before harvest (SH_9 & 10), and days of rain during 10 days before harvest (DR_10) were highly significant in quadratic regression analysis. 22 items of predicted yield ($Y_i=aX_i{^2}+bX_i+c$) were induced from the 22 items of climatic elements (step 1). The correlations between the predicted yields and marketable yield were stepwised using SPSS, statistical program, and we selected a model (step 2), in which 4 items of independent variables ($Y_i$) were used. Subsequently the $Y_i$ were replaced with the equation in step 1, $aX_i{^2}+bX_i+c$. Finally we derived the model to predict the marketable yield of potato as below. $$Y=-336{\times}DR_-10^2+854{\times}DR_-10-0.422{\times}Prec_-9^2+43.3{\times}Prec_-9\\-0.0414{\times}RH_-2^2+46.2{\times}RH_-2-0.0102{\times}Prec_-2^2-7.00{\times}Prec_-2-10039$$.

• Convergence Security Journal
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• v.1 no.1
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• pp.101-113
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• 2001

• Review of Korean Society for Internet Information
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• 2004

• 농업기술회보
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• v.39 no.4 s.465
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• pp.38-39
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• 2002

• Communications of the Korean Institute of Information Scientists and Engineers
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• Korea Information Processing Society Review
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• Communications of the Korean Institute of Information Scientists and Engineers
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