We have developed and tested a new method for nondestructive estimation of chlorophyll- and nitrogen-contents in rye leaf. It was found that the relationships among nitrogen, chlorophyll content and fresh weight were significantly positive correlated. Nitrogen and chlorophyll content were positively correlated whereas correlation coefficients among R, G, R-B and G-B on the basis of photo-numerical values were negative. We have found that R/(R-B) obtained from data of digital camera is the best criterion to estimate the chlorophyll content of leaves. The regression curves of the relation between R/(R-B) and chlorophyll content were also calculated from the data collected on cloudy days. The coefficients of determination (r²) were ranged from 0.33 to 0.99. In this study, the accuracy in estimating chlorophyll content from the color data of digital camera image could be improved by correcting with R, G, and B values. It is suggested that, for practical purposes, the image values estimated with sufficient accuracy using a portable digital camera can be applied for determining chlorophyll content and nitrogen status in plant leaves.
곡간지 (안성, 함양)와 평야지 (보은, 김제) 및 도시지역(군산, 수원)의 논토양에 서식하는 수서곤충을 2009~2011의 3년간 채집 분류 동정하여, 전체 18 집구에 대하여, 12종류의 지표에 근거한 종 다양성 분석 결과는 다음과 같다. 1. 지형별 논토양에서 수집된 수서곤충의 개체 수는 곡간지 (35,932) > 평야지 (24,948) > 도시지역 (9,780) 순이었으며, 종수는 곡간지 (32) > 도시지역 (20) > 평야지 (18) 순이었다. 2. 조사대상지 18집구들에 대하여 2집구 간 153개 조합의 상호 유사도 (Similarity) matrix를 작성하였으며, 153개 조합전체의 유사도는 평균 0.542, 즉 전체 종의 약 54%는 최소 1개 이상의 다른 집구에서도 서식하고 있는 종으로 구명되었다. 3. 조사대상지 18집구 중에서 종 다양성이 다른 집구와 차이가 가장 큰 경우는 2009년 보은 평야지, 차이가 가장 작은 경우는 2010년 군산 도시지역 이었다. 4. 년차간 유사도 (0.659)가 지형간 유사도 (0.560)보다 높게 나타나, 어떤 종의 수서곤충이 같은 시기에 다른 지역에서 공동 서식할 가능성 (공간적 유사도 : Spacial similarity)보다, 동일 지역에서 이듬해에 또다시 서식할 가능성 (시간적 유사도 : Periodical Similarity)이 더 높다고 구명되었다. 5. 종 다양성 관련 12개 지표들에 대한 18개 집구 간의 변이계수 (Coefficient of variation: CV)는 개체수 (N, 70.0%) > 균등도-E3 (54.9%) > 균등도-E1 (49.6%) > 풍부도-R2 (40.5%) > 종수 (S, 35.3%) > 풍부도-R1 (33.7%) > 균등도-E2 (28.4%) > 균등도-E5 (15.9%) > 다양도-V1 (11.1%) > 균등도-E4 (6.3%) > 다양도-V2 (5.1%) > 우점도-D1 (4.8%) 순이었다. 6. 조사대상 18집구별 종 다양성 관련 12개 지표들 간 66개 조합에 대한 상호관련성을 보여주는 correlation matrix를 작성하였고, 66개 조합 중 통계적으로 유의성 있는 관련성을 보여주는 경우는 33개 조합의 경우이었다. 7. 종 다양성을 나타내는 지표 중 10종류의 지수들 간 correlation matrix를 근거로 한 통계적 독립의 개념에 따라 지수간 관련성이 낮은 지수, 즉 풍부도지수 (R1, R2)는 R1, 다양도지수 (V1, V2)는 V1, 균등도지수 (E1, E2, E3, E4, E5)는 E2, 우점도지수는 D1이 수서곤충의 종 다양성과 관련하여 가장 적절한 지표라고 판단되었다. 8. 수서곤충의 풍부도지수 (Richness index: R1)는 곡간지 논토양에서, 다양도지수 (Variety index: V1)는 도시지역 논토양에서, 균등도지수 (Evenness index: E2)는 평야지 논토양에서 더 높았으며, 우점도지수 (Dominance index: D1)는 도시지역 논토양에서 더 낮았다. The aquatic insect collected at six areas (each 2 for mountain area, plain field, and urban area) from 2009 to 2011 were classified to analyze the distribution and diversity of species. Frequency (number of aquatic insect: N), number of species (S), similarity index (C), richness index (R1, R2), variety index (V1, V2), evenness index (E1, E2, E3, E4, E5), and dominance index (D1) were investigated. Total N and S were 143 and 84, respectively. C matrix of 153 combinations was constructed with the average of 0.542. The average C of 3 years (0.659) was 9.9% P, more higher than the average C of 6 areas (0.560). The average values of the index of 18 plots were 2.28, 0.17, 1.24, 1.08, 0.07, 0.06, 0.01, 0.87, 0.31, 0.93 for R1, R2, V1, V2, E1, E2, E3, E4, E5, D1, respectively. The order in the coefficient of variation (CV) of the indicator for 18 plots was N (70.0%) > E3 (54.9%) > E1 (49.6%) > R2 (40.5%) > S (35.3%) > R1 (33.7%) > E2 (28.4%) > E5 (15.9%) > V1 (11.1%) > E4 (6.3%) > V2 (5.1%) > D1 (4.8%). The correlation matrix with 66 combinations between the indexes was constructed with statistical significance for 33 combinations. However, R1, V1, E2 and D1 were the proper indexes to represent species diversity of aquatic insect based on the correlation matrix and the theory of statistical independence. The richness index was highest in mountain, variety index in urban area, and evenness index in plain field. However, the dominance index was lowest in urban area.
The Average daily PET (Potential evapotranspiration), evaluated based on the last 30 years meteorological data and the lysimeter experiment carried out by RDA during 11 years, of 9 regions in Korea for the tomato cultivated in greenhouse, was $3.41mm\;day^{-1}$. Two kinds of water saving irrigation standard (WSIS), deficit irrigation standard (DIS) and partial root-zone drying irrigation standard (PRDIS) that include the irrigation interval and the amount of irrigation water according to the region, soil texture and growing stage, were established. According to the DIS and PRDIS, the cultivator can save water up to 29.2% and 53.7%, respectively, for tomato cultivation in greenhouse compared to the full irrigation standard (FIS) which established in 1999. WSIS can be used easily by the cultivator without complicate procedures such as soil sampling and measurement of soil water status by expensive sensors. But the cultivator should care about irrigation method such as PRDI (partial root-zone drying irrigation) without yield decrease.
This study was conducted to investigate the changes in daily surface temperature of red pepper leaf compared to air and soil surface temperature. The maximum, minimum and average daily temperatures of red pepper leaf were 27.80, 11.40 and $19.01^{\circ}C$, respectively, which were lower by 0.10, 7.60 and $3.86^{\circ}C$ than air temperature, respectively, and lower by 15.00, 0.0 and $4.38^{\circ}C$ than soil surface temperature, respectively. Mean deviations of the difference between measured and estimated temperature by the E&E Model (Eom & Eom, 2013) for the air and surface temperature of red pepper leaf and soil were 0.64, 1.82 and $4.77^{\circ}C$, respectively. The relationships between measured and estimated scaled factor of the air and surface temperature of red pepper leaf and soil were very close to the 1:1 line. Difference between air and surface temperature of red pepper leaf showed a linear decreasing function with the surface temperature of red pepper leaf. Difference between soil surface temperature and air and surface temperature of red pepper leaf linearly increased with the soil surface temperature.
This study was conducted to develop a model to estimate crop leaf surface temperature. The results were as following; A definition for the daily time based on elapsed time from the midnight (00:00) as "E&E time" with the unit of Kmin. was suggested. The model to estimate the scaled temperature ($T^*e$) of crop leaf surface temperature by scale factor ($T^*$) according to the "E&E time : Kmin."(X) was developed as eq. (1) $T^*e=0.5{\cdot}sin(X+780)+0.5$ (2) $T^*=(Tx-Tn)/(Tm-Tn)$, Tx : Daily leaf temperature, Tm : Daily maximum leaf temperature, Tn : Daily minimum leaf temperature. Relative sensitivity of the measured temperature compared to the estimated temperature of red pepper, soybean and persimmon was 1.078, 1.033 and 0.973, respectively.
'%3e%3cg id='b'%3e%3cpath id='a' stroke='%23000' stroke-width='2' d='M-6-25H6m-12 3H6m-12 3H6'/%3e%3cuse xlink:href='%23a' y='44'/%3e%3c/g%3e%3cpath stroke='%23fff' d='M0 17v10'/%3e%3ccircle r='12' fill='%23cd2e3a'/%3e%3cpath fill='%230047a0' d='M0-12A6 6 0 0 0 0 0a6 6 0 0 1 0 12 12 12 0 0 1 0-24z'/%3e%3c/g%3e%3cg transform='rotate(-123.69)'%3e%3cuse xlink:href='%23b'/%3e%3cpath stroke='%23fff' d='M0-23.5v3M0 17v3.5m0 3v3'/%3e%3c/g%3e%3c/svg%3e)