Discrimination of water stress in pepper using thermography and leaf turgor pressure probe techniques

Çamoğlu, Gökhan; Demirel, Kürşad; Kahrıman, Fatih; Akçal, Arda; Nar, Hakan; Boran, Ahmet; Eroğlu, İlker; Genç, Levent

doi:10.1016/j.agwat.2021.106942

Cited by 6 publications

(5 citation statements)

References 25 publications

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“…In this study also, it was observed that the stomatal conductivity of curly lettuce decreased under increasing drought conditions. Similarly, Camoglu et al (2019) also stated that increasing deficit irrigation significantly reduced the stomatal conductivity of tomatoes. While decreasing moisture in the soil decreases the chlorophyll content, the leaf relative water content and the stomatal conductivity of the plant, it causes an increase in the membrane damage index (Ors and Ekinci, 2015).…”

Section: Resultsmentioning

confidence: 96%

Değişen Sulama Suyu Seviyeleriyle Toprağa Farklı Oranlarda Biyoçar Uygulanarak Yetiştirilen Kıvırcık Marulun Fiziksel ve Fizyolojik Özellikleri ile Mineral Madde İçeriği

Tüfenkçi

Yerli²

2023

Uluslararası Tarım Ve Yaban Hayatı Bilimleri Dergisi

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The crisis experienced from the water supply causes food production to be adversely affected in the agriculture sector, which is the biggest consumer of water. The deficit irrigation strategy ensures the continuity of food production as well as using water effectively. However, since the plant grown in this strategy is exposed to abiotic stress, it experiences significant yield and quality losses. For this reason, it is necessary to develop approaches to improve yield and quality losses of the plant grown with deficit irrigation. In this study, the physical and physiological properties and mineral content of curly lettuce (Lactuca sativa L. var. Crispa) grown by applying different rates of biochar to the soil (0%, 1%, 2%, 3%) with varying irrigation water levels (100%, 67%, 33%) researched. The study determined that decreasing irrigation water level decreased plant height, stem diameter, number of leaves, root wet and dry weights, plant weight, chlorophyll and leaf relative water contents, stomatal conductivity and N, P, K, Ca, Mg, Na, Fe, Cu, Mn and Zn contents of curly lettuce, while increasing the membrane damage index, but the physical and physiological properties and mineral content affecting the yield and quality of curly lettuce improved with increasing biochar rates. In the study, as a result of the emergence of the highest stress factor in irrigation at 33% level, it was observed that physical and physiological properties and mineral content of curly lettuce were affected at the highest level, and the dose of biochar, which managed the stress most effectively, was 3%. As a result, considering that biochar has an important potential to improve yield and quality losses of curly lettuce grown under deficit irrigation conditions, the use of biochar in the deficit irrigation regime were found to be recommendable.

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Section: Resultsmentioning

confidence: 96%

Değişen Sulama Suyu Seviyeleriyle Toprağa Farklı Oranlarda Biyoçar Uygulanarak Yetiştirilen Kıvırcık Marulun Fiziksel ve Fizyolojik Özellikleri ile Mineral Madde İçeriği

Tüfenkçi

Yerli²

2023

Uluslararası Tarım Ve Yaban Hayatı Bilimleri Dergisi

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“…In addition, the presence of water during crop production can affect the productivity of crops. As reported by Ihuoma and Madramootoo [91], water stress triggers some metabolic processes, such as falling transpiration rate [92], decreasing evaporative cooling, and rising leaf temperature [93]. This phenomenon is primarily caused by stomatal closure.…”

Section: Drought/water Stressmentioning

confidence: 85%

Spectroscopy Imaging Techniques as In Vivo Analytical Tools to Detect Plant Traits

Hernanda,

Lee,

Lee

2023

Applied Sciences

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The efficiency of hyper- and multispectral imaging (HSI and MSI) has gained considerable attention in research on plant phenotyping. This is due to their ease of use while being considered a nondestructive technology. Unlike current point-scanned spectroscopy, both HSI and MSI extract spatial and spectral information while covering a wide range of a plant body. Moreover, it is necessary to equip the extracted information with multivariate calibration techniques, followed by model evaluation. To date, the application of HSI and MSI for monitoring plant growth under a controlled environment is emerging and showing a good trend. Our systematic literature review discusses spectroscopy imaging techniques and their chemometric approaches as a sustainable sensor technology to detect plant traits. In conclusion, we also explore the possibility of carrying out HSI and MSI during plant trait analysis.

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“…Therefore, the models including temperature and wind speed data can be effective in explaining the change in SOD activity, albeit at a low level. In addition to the leaf pressure values, the regression coe cient of the model in which all meteorological features were used was found to be signi cantly higher than the single models; so much so that when the model in which only leaf pressure is used ( 1) is compared with this model (7), it is seen that there is an 11% difference in the regression coe cient.…”

Section: Evaluation For Superoxide Dismutasementioning

confidence: 96%

“…According to the regression coe cient of the model in which only leaf pressure is used as an estimator among the regression models created for the estimation of stomatal variability, it is seen that 45.6% of the variation in stomatal conductivity can be explained by leaf pressure (Table 5). If the temperature, humidity, and wind values are added to this model (7), 50.2% of the variation in stomatal conductivity can be explained by the model. In other words, the success of the model can be increased by 5% if meteorological features are used together with leaf pressure.…”

Section: Evaluation For Stomatal Conductancementioning

confidence: 99%

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Detection of Yield and Physiological Responses to Water Stress using Leaf Turgor Pressure and Thermal Images in Pepper

Çamoğlu

Demirel

Kahrıman

et al. 2023

Preprint

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Today, the use of sensors and imaging techniques to obtain information about plants and soil in smart irrigation systems is rapidly becoming widespread. This study aimed to investigate the usability of leaf turgor pressure and thermal images to detect water stress and the irrigation time of pepper and to determine their relationship with physiological traits (leaf water potential, stomatal conductivity, superoxide dismutase, and catalase activity). For this purpose, the pepper (Capsicum annuum L. cv. "California Wonder") experiment was carried out in Canakkale, Turkey in 2017 and 2018. A total of four treatments were applied in the experiment, control (100%) and three different water stress levels (75%, 50%, and 25%). Leaf turgor pressure (Pp), thermal images and physiological measurements were carried out during the growing season. Soil moisture and leaf turgor pressure (Pp) were monitored in real time by remote. As a result of the study, the average evapotranspiration (ETc) was 697 mm, and the yield value was 83.7 t ha− 1 under non-stress conditions. Depending on the decrease in ETc, yield values also decreased significantly. The physiological traits of pepper were also adversely affected by water stress. Leaf water potential and stomatal conductivity values were statistically different in all irrigation treatments. The change in the activity of catalase (CAT) due to water stress was greater than that of superoxide dismutase (SOD). In this case, it can be said that other physiological traits are more successful than SOD in distinguishing water stress. According to the regression models, significant relationships were determined between both the indices calculated from the thermal images and Pp, yield and physiological traits. The predictive ability of Pp values has been strengthened with the addition of meteorological properties to the model in general. The highest correlation (R2 = 0.63) was between Pp + meteorological properties and the catalase activity. All the regression models between CWSI and IGp calculated from thermal images were statistically significant. The highest R2 values were obtained in August. In this month, the highest correlations were between CWSI and leaf water potential and stomatal conductivity (R2 = 0.91), IGp and stomatal conductivity (R2 = 0.80). The predictive power of CWSIp was higher than IGp. The experiment illustrated that Pp and temperature data, which are plant-based monitoring methods, have the potential to detect water stress in peppers.

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Discrimination of water stress in pepper using thermography and leaf turgor pressure probe techniques

Cited by 6 publications

References 25 publications

Değişen Sulama Suyu Seviyeleriyle Toprağa Farklı Oranlarda Biyoçar Uygulanarak Yetiştirilen Kıvırcık Marulun Fiziksel ve Fizyolojik Özellikleri ile Mineral Madde İçeriği

Değişen Sulama Suyu Seviyeleriyle Toprağa Farklı Oranlarda Biyoçar Uygulanarak Yetiştirilen Kıvırcık Marulun Fiziksel ve Fizyolojik Özellikleri ile Mineral Madde İçeriği

Spectroscopy Imaging Techniques as In Vivo Analytical Tools to Detect Plant Traits

Detection of Yield and Physiological Responses to Water Stress using Leaf Turgor Pressure and Thermal Images in Pepper

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