Abstract
Goal. To study the influence of environmental factors on the transpiration intensity of tomato plants and to build a model of transpiration intensity based on the multiple linear regression (MLR). Methods. General scientific: vegetation, laboratory, measurement-calculation, and mathematical-statistical analysis. Results. It was found that there was a close correlation between the intensity of transpiration of tomato plants by solar radiation, relative humidity, and air temperature, the correlation coefficients are 0.99, 0.96, and 0.94, respectively. The intensity of transpiration increases linearly with increasing solar radiation and air temperature and decreases with increasing relative humidity. The maximum values of transpiration intensity were at 12 and 14 h, and reached 538.1 and 574.1 g/m2·h, respectively, and between 12 and 14 h there was a noon depression of transpiration. Based on multiple linear regression, they obtained a model of transpiration intensity of tomato plants during the day with a coefficient of determination R2=0.91, standard error STr=27.5. A comprehensive statistical analysis of the obtained model was performed, which confirmed that the obtained model was statistically significant with a reliability of 95% and confirmed the hypothesis of the influence of climatic factors on the intensity of transpiration of tomato plants. The average absolute percentage error (AAPE) was 7.4%. Conclusions. Based on the conducted researches the daily periodicity of transpiration intensity of tomato plants and linear dependence of transpiration intensity on the action of solar radiation, temperature, and relative humidity of air is confirmed. The influence of ecological factors on the intensity of transpiration is established based on a multiple linear regression model. The greatest influence on the intensity of tomato transpiration has solar radiation, and the smallest — air temperature, standardized regression coefficients are equal to 1.169 and 0.028, respectively. The conducted comprehensive statistical analysis confirmed the high accuracy of the obtained model: the AAPE error is less than 10%.
Highlights
External environmental conditions are not lky regulate the degree is opened so I stomata, and directly affect the process of transpiration
Scientists [6, 7] found that solar radiation and water vapor pressure deficiency correlate most with plant transpiration Research [6, 9] found that greenhouse tomatoes high humidity air and low light levels inhibit transpiration leads to yield losses
The aim of the study is to study the influence of environmental factors on the transpiration intensity of tomato plants and to build a model of transpiration intensity based on multiple linear regression
Summary
External environmental conditions are not lky regulate the degree is opened so I stomata, and directly affect the process of transpiration. The gradient of water potential between the inner part of the stomata of the leaf and the atmosphere is small, and the transpiration rate will be low. Scientists [6, 7] found that solar radiation and water vapor pressure deficiency correlate most with plant transpiration Research [6, 9] found that greenhouse tomatoes high humidity air and low light levels inhibit transpiration leads to yield losses. The intensity of transpiration increases linearly with increasing solar radiation, the deficit of water vapor pressure, air velocity [6, 7, 9, 11, 14] air temperature and carbon dioxide concentration do not significantly affect [9]. The aim of the study is to study the influence of environmental factors on the transpiration intensity of tomato plants and to build a model of transpiration intensity based on multiple linear regression
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