Microclimate and transpiration of a greenhouse banana crop

Demrati, H.; Boulard, Thierry; Fatnassi, H.; Bekkaoui, A.; Majdoubi, Hassan; Elattir, H.; Bouirden, L.

doi:10.1016/j.biosystemseng.2007.03.016

Cited by 22 publications

(19 citation statements)

References 16 publications

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“…In summary these findings were similar to what was found by Demrati et al (2007). For the diurnal period, the air temperatures gradient increases with height of greenhouse.…”

Section: Ventilation Sub-modelsupporting

confidence: 91%

Effects of Different Ventilation Strategies on the Microclimate and Transpiration of a Rose Crop in a Reenhouse

J¹

2013

GJSETR

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The study was aimed at reducing internal air temperatures of a greenhouse shelter as this is one of the main problems facing greenhouse management in warm climates such as in Zimbabwe. The water vapour balance method was used to evaluate the ventilation rate and the results were employed in calibrating and validating the ventilation sub-model of the greenhouse climate model, the GDGCM model, in a naturally ventilated three span Azrom type greenhouse in Zimbabwe. Two ventilation regimes namely: configuration with roof vents only with closed side vents and configuration with both side vents and roof vents open, were investigated. Crop transpiration was estimated using the Penman-Monteith method. The model was fitted to experimental data for ventilation rates, and the parameters for the model, the discharge and wind effect coefficient were determined using statistical analysis. The results showed that there was a good fit between measured and predicted values (R 2 = 0.702 and 0.729) for the model on the two ventilation regimes. The air renewal rate was found to be influenced by the nature of ventilation regime in place. The model simulation revealed that the greenhouse has higher air renewal rates for the configuration with both roof and side vents. The greenhouse internal air temperature was reduced significantly for the latter configuration as it had lower simulated air temperatures than the former.

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“…In summary these findings were similar to what was found by Demrati et al (2007). For the diurnal period, the air temperatures gradient increases with height of greenhouse.…”

Section: Ventilation Sub-modelsupporting

confidence: 91%

Effects of Different Ventilation Strategies on the Microclimate and Transpiration of a Rose Crop in a Reenhouse

J¹

2013

GJSETR

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“…Mathematical models have also been developed to estimate ET of crops grown in greenhouses (Helmer et al 2005;Carmassi et al 2007;Fernandez et al 2007;Demrati et al 2007). Kashyap and Panda (2001) compared the estimated ET using ten models with lysimeter-measured ET in a potato crop in a greenhouse and found that the Penman-Monteith equation gave the best results in subhumid climatic regions.…”

Section: Introductionmentioning

confidence: 98%

“…Banana ET has been calculated using models based on climatic and physiological characteristics in a large greenhouse (Demrati et al 2007) and measured using lysimeters (Israeli and Nimri 1986) or the eddy covariance method in a large screenhouse (Tanny et al 2006). The direct applicability of these results for irrigation scheduling is limited because the calculation and measurements processes are rather complicated, time consuming and require skilled operators and sometimes costly equipment.…”

Section: Introductionmentioning

confidence: 99%

Estimation of banana (Musa sp.) plant transpiration using a standard 20 cm pan in a greenhouse

Liu

Cohen

Tanny

et al. 2008

Irrig Drainage Syst

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An experiment was carried out in a naturally ventilated greenhouse to study the relationship between banana (Musa sp.) plant transpiration (Tr) measured with load cells, reference crop evapotranspiration (ET o ) calculated with five widely used models (i.e. the Priestley-Taylor, FAO radiation, Hargreaves, FAO Penman and FAO Penman-Monteith models) and pan evaporation (E pan ) measured with a standard Chinese 20 cm pan. Microclimatic conditions were measured inside the greenhouse. Results show that vapor pressure deficit and air temperature had good linear correlations to banana Tr with R 2 of 0.67 and 0.62, respectively. Among the five models tested, banana Tr and ET o calculated with the FAO-Penman model yielded the highest determination coefficient (R 2 = 0.67), followed by the FAO-PM model (R 2 =0.63), the FAO radiation model (R 2 =0.52), the Hargreaves model (R 2 =0.49) and the Priestley-Taylor model (R 2 =0.47). Banana transpiration Tr vs. E pan yielded an R 2 of 0.83, which is higher than the five models tested. In conclusion, the 20 cm pan can be useful for estimating banana Tr in greenhouses.

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“…Previous studies on the validation of the SM with greenhouse pepper [10], acer rubrum tree [11], and tomato [12,13] showed overestimations of the estimated values, but few studies pointed out the reasons these overestimations. The overestimations of the SM may be due to (1) parameterization difficulties of the canopy resistance (r c ) and aerodynamic resistance (r a ) in the model, or (2) that proper observation positions of the input micrometeorological data of the model are not determined due to the meteorological environment in greenhouses being heterogeneous, which is different from in open fields [14,15].…”

Section: Introductionmentioning

confidence: 99%

Parameterization and Application of Stanghellini Model for Estimating Greenhouse Cucumber Transpiration

Yan

Huang

Zhang

et al. 2020

Water

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Accurate estimation of transpiration (Tr) is important in the development of precise irrigation scheduling and to enhance water-use efficiency in agricultural production. In this study, the air temperature (Ta) and relative humidity (RH) were measured at three different heights (0.5, 1.0, and 1.8 m above the ground near the plant canopy) parameterize aerodynamic resistance (ra) based on the heat transfer coefficient method and to estimate Tr using the Stanghellini model (SM) during two growing seasons of cucumber in a greenhouse. The canopy resistance (rc) was parameterized by an exponential relationship of stomata resistance and solar radiation, and the estimated Tr was compared to the values measured with lysimeters. After parameterization of ra and rc, the efficiency (EF) and the Root Mean Square Error (RMSE) of the estimated Tr by the SM based on micrometeorological data at a height of 0.5 m were 95% and 18 W m−2, respectively, while the corresponding values were 86% and 29 W m−2 at a height of 1.8 m for the autumn planting season. For the spring planting season, the EF and RMSE were 92% and 34 W m−2 at a height of 0.5 m, while the corresponding values were 81% and 56 W m−2 at a height of 1.8 m, respectively. This work demonstrated that when micrometeorological data within the canopy was applied alongside the data measured above the canopy, the SM led to better agreement with the lysimeter measurements.

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Microclimate and transpiration of a greenhouse banana crop

Cited by 22 publications

References 16 publications

Effects of Different Ventilation Strategies on the Microclimate and Transpiration of a Rose Crop in a Reenhouse

Effects of Different Ventilation Strategies on the Microclimate and Transpiration of a Rose Crop in a Reenhouse

Estimation of banana (Musa sp.) plant transpiration using a standard 20 cm pan in a greenhouse

Parameterization and Application of Stanghellini Model for Estimating Greenhouse Cucumber Transpiration

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