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논문 기본 정보

자료유형
학술저널
저자정보
서영진 (경북농업기술원) 남효훈 (경북농업기술원) 장원철 (경북농업기술원) 이부용 (대구가톨릭대학교)
저널정보
한국약용작물학회 한국약용작물학회지 한국약용작물학회지 제26권 제6호
발행연도
2018.12
수록면
447 - 454 (8page)
DOI
10.7783/KJMCS.2018.26.6.447

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Background: The leaf temperature (T<SUB>LEAF</SUB>) is one of the most important physical parameters governing water and carbon flux, including evapotranspiration, photosynthesis and respiration. Cnidium officinale is one of the important folk medicines for counteracting a variety of diseases, and is particularly used as a traditional medicinal crop in the treatment of female genital inflammatory diseases. In this study, we developed a model to estimate T<SUB>Leaf</SUB> of Cnidium officinale Makino based on black globe temperature (T<SUB>BGT</SUB>).
Methods and Results: This study was performed from April to July 2018 in field characterized by a valley and alluvial fan topography. Databases of TLEAF were curated by infrared thermometry, along with meteorological instruments, including a thermometer, a pyranometer, and an anemometer. Linear regression analysis and Student’s t-test were performed to evaluate the performance of the model and significance of the parameters. The correlation coefficient between observed T<SUB>LEAF</SUB> and calculated T<SUB>BGT</SUB> obtained using an equation, developed to predict T<SUB>LEAF</SUB> based on T<SUB>BGT</SUB> was very high (r² = 0.9500, p < 0.0001). There was a positive relationship between T<SUB>BGT</SUB> and solar radiation (r² = 0.8556, p < 0.0001), but a negative relationship between T<SUB>BGT</SUB> and wind speed (r² = 0.9707, p < 0.0001). These results imply that heat exchange in leaves seems to be mainly controlled by solar radiation and wind speed. The correlation coefficient between actual and estimated T<SUB>BGT</SUB> was 0.9710 (p < 0.0001).
Conclusions: The developed model can be used to accurately estimate the T<SUB>Leaf</SUB> of Cnidium officinale Makino and has the potential to become a practical alternative to assessing cold and heat stress.

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UCI(KEPA) : I410-ECN-0101-2019-480-000585972