Modeling of Transpiration of Paprika (Capsicum annuum L.) Plants Based on Radiation and Leaf Area Index in Soilless Culture

Modeling of crop transpiration is important to manage the irrigation strategy in soilless culture. In this study, the transpiration of paprika plants (Capsicum annuum L.) grown in rockwool was analyzed considering the relationship between incident radiation (RAD) and leaf area index (LAI). Coefficie...

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Published inHorticulture, environment and biotechnology Vol. 52; no. 3; pp. 265 - 269
Main Authors Ta, The Hung, Seoul National University, Seoul, Republic of Korea, Shin, J.H., Seoul National University, Seoul, Republic of Korea, Ahn, T.I., Seoul National University, Seoul, Republic of Korea, Son, J.E., Seoul National University, Seoul, Republic of Korea
Format Journal Article
LanguageEnglish
Published Korea Korean Society for Horticulture and Science 01.06.2011
한국원예학회
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Summary:Modeling of crop transpiration is important to manage the irrigation strategy in soilless culture. In this study, the transpiration of paprika plants (Capsicum annuum L.) grown in rockwool was analyzed considering the relationship between incident radiation (RAD) and leaf area index (LAI). Coefficients of the simplified Penman-Monteith formula were calibrated in order to calculate the transpiration rate of the crop (T∧r). Transpiration rate per floor area was measured by weighing plants with load cells. The following model was developed: T∧r = a [1 - exp(-k × LAI)] × RAD / λ + b for estimating transpiration of paprika. Determination coefficient for the linear regression between estimations and measurements of daily transpiration was 0.80 with a slope of 0.93. In validation, the model showed high agreement between estimated and measured values of daily transpiration. Radiation showed a great effect on transpiration of paprika plants. The results indicated the simplified Penman-Monteith formula could be used to predict water requirements and improve irrigation control in soilless culture. However the model coefficients require parameter adjustments for specific climate and crop conditions.
Bibliography:F01
2012003792
G704-000103.2011.52.3.002
ISSN:2211-3452
2211-3460
DOI:10.1007/s13580-011-0216-3