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2025 Vol.43, Issue 6 Preview Page

Research Article

Daily Transpiration Change Estimations using the Leaf Temperature according to Paprika Growth in a Venlo-type Greenhouse

벤로형 온실에서 파프리카의 생육에 따른 엽온을 이용한 일증산량 변화 추정

Seung Mi Woo1
,
Dong Hee Noh2
,
Sung Woo Byun2
,
Ho Cheol Kim134*
우 승미1
,
노 동희2
,
변 성우2
,
김 호철134*
1Department of Horticulture Industry, Wonkwang University, Iksan 54538, Korea
2Korea Electronics Technology Institute, Jeonju 5483, Korea
3Institute of Life Science and Natural Resources, Wonkwang University, Iksan 54538, Korea
4Institute of Plant Breeding Research, Wonkwang University, Iksan 54538, Korea
1원광대학교 일반대학원 원예학과
2한국전자기술연구원
3원광대학교 생명자원과학연구소
4원광대학교 식물육종연구소
*Corresponding Author
31 December 2025. pp. 794-805
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Abstract

This study was conducted to estimate transpiration rate changes using the leaf temperature as monitored throughout the full cultivation cycle in a Venlo-type greenhouse where paprika (Capsicum annuum L.) was actually being grown. All data were collected from November of 2022 to June of 2023 after the paprika was planted in August of 2022. During the experimental period, the average daytime temperature inside the greenhouse ranged from 19.4°C to 24.5°C, with the highest values observed in August and September of 2022 and June of 2023, when external solar radiation increased. The average daytime leaf temperature showed a similar trend. An exponential regression analysis was conducted to determine the relationship between the leaf temperature and the transpiration rate, with measurements taken weekly during the experimental period. The R2 value was 0.7700 (p < 0.01), indicating a significant correlation. To estimate the transpiration rate when applying diurnal variations, the third-degree polynomial was derived using relative diurnal transpiration values. The daily transpiration rate (mol·m-2·day-1, TR1) was calculated using the regression equation for transpiration based on the leaf temperature, which was monitored every two minutes. The average TR1 was 36.38 ± 32.87 mol·m-2·day-1, with a minimum of 1.98 mol·m-2·day-1 and a maximum of 249.76 mol·m-2·day-1. When applying the diurnal variation regression equation (TR2), the average value was 15.95 ± 14.60 mol·m-2·day-1 lower than TR1. The daily transpiration per plant (mol·m-2· day-1, TR3) was calculated by applying a regression model of the leaf area change to the TR2 value per unit area (1 m2). According to this method, the average daily transpiration per plant was 26.04 ± 23.98 mol·plant-1·day-1, with a minimum of 1.55 mol·plant-1·day-1 and a maximum of 145.99 mol·plant-1·day-1, showing a large difference between the minimum and maximum values. By multiplying the TR3 value by the weight of 1 mole of pure water (H2O), which is 18 g, the daily transpired water per plant (g·plant-1·day-1, TR4) could be calculated. The average amount of transpired water was 468.70 ± 431.58 g·plant-1·day-1, with a minimum of 27.93 g·plant-1·day-1 and a maximum of 2,627.94 g·plant-1·day-1. When comparing the cumulative increase rates between the estimated transpiration including the calculated transpiration and the moisture content of harvested fruits and the actual crop water uptake data from the farm, the values were 508.55 and 471.31 g·plant-1·day-1, respectively, showing a difference of 37.24 g·plant-1·day-1. This difference is believed to be influenced by crop cultivation management, farm data, and the accuracy of each regression model used.

Keywords
absorption amount
diurnal change
drainage amount
moisture content
supply amount

본 연구는 실제 파프리카(Capsicum annuum L.) 재배되고 있는 벤로형 온실 내에서 전주기 동안 모니터링한 엽온을 이용하여 증산량 변화를 추정하기 위해 수행되었다. 모든 데이터는 2022년 8월에 정식된 후 2022년 11월부터 2023년 6월까지 조사되었다. 실험 기간 동안 온실 내부의 주간평균기온은 19.4–24.5°C였으나 외부 광량이 증가하는 2022년 8, 9월과 2023년 6월에 가장 높았으며, 주간평균엽온 또한 비슷한 경향이었다. 실험 기간 동안 일주일 간격으로 측정한 모든 잎의 엽온과 증산속도 간 관계를 알아보기 위해 지수함수로 회귀분석을 도출한 결과, R2값이 0.7700(p < 0.01)로 유의하게 나타났다. 증산량 추정에 일중 변화를 적용시키기 위해 일중 증산량의 상대값을 활용하여 3차 다항식을 도출하였다. 엽온에 따른 증산량 회귀식에 2분 마다 모니터링된 엽온을 이용하여 일증산량(mol·m-2·day-1, TR1)을 계산하였다. TR1은 평균 36.38 ± 32.87mol·m-2·day-1였다. 그리고 최소 1.98mol·m-2·day-1였고, 최대 249.76mol·m-2·day-1였다. 일중 변화 회귀식을 적용(TR2)하였을 시 적용하지 않은 TR1보다 평균 15.95 ± 14.60mol·m-2·day-1이 낮아졌다. TR2의 단위면적(1m2) 당 계산된 값에 엽면적의 변화 회귀모형을 적용시켜 식물체 당 일증산량(mol·m-2·day-1, TR3)을 계산하였다. 식물체 당 일증산량의 평균 26.04 ± 23.98mol·plant-1·day-1였다. 그리고 최소 1.55mol·plant-1·day-1였고 최대 145.99mol·plant-1·day-1 수준으로 최소값과 최대값의 차이가 매우 컸다. TR3 값에 순수한 물(H2O) 1mole 무게인 18g을 곱하여 일중 식물체 당 증산된 물의 무게(g·plant-1·day-1)로 나타내었다(TR4). 증산된 물의 무게는 평균 468.70 ± 431.58g·plant-1·day-1이었고, 최소 27.93g·plant-1·day-1, 최대 2,627.94g·plant-1·day-1수준을 나타내었다. 농가의 작물 흡수량 데이터와 계산한 증산량 + 수확 과실 수분량을 포함한 추정 증산량을 누적하여 증가속도를 비교한 결과, 각각 508.55, 471.31g·plant-1·day-1로 37.24g·plant-1·day-1차이가 발생했다. 이러한 차이는 작물 재배 관리, 농가 데이터 및 사용된 각 회귀모형의 정확도에 따른 영향이 있을 것으로 판단된다.

키워드
흡수량
일중변화
배액량
수분함량
공급량
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Information
  • Publisher :KOREAN SOCIETY FOR HORTICULTURAL SCIENCE
  • Publisher(Ko) :한국원예학회
  • Journal Title :Horticultural Science and Technology
  • Journal Title(Ko) :원예과학기술지
  • Volume : 43
  • No :6
  • Pages :794-805
  • Received Date : 2024-11-18
  • Revised Date : 2025-04-08
  • Accepted Date : 2025-04-21
  • DOI :https://doi.org/10.7235/HORT.20250046
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