The Combination of Increased Temperatures and High Irradiation Causes Changes in Photosynthetic Efficiency

Kulundžić, Antonela Markulj; Vuletić, Marija Viljevac; Kočar, Maja Matoša; Mijić, Anto; Varga, Ivana; Sudarić, Aleksandra; Cesar, Vera; Lepeduš, Hrvoje

doi:10.3390/plants10102076

Cited by 11 publications

(7 citation statements)

References 45 publications

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“…These results, coupled with the decrease in the fully active RC combined with the increase in heat sink dissipation centres, clearly indicate PS II down-regulation and the potential induction of a photoinhibition state [60]. An overview of the PGPR effects can be seen by analysing the performance index, known for being a sensitive indicator of heat stress that relates energy absorption, antenna steps, reaction centre and electron transport chain functioning [61,62]. As estimated previously, a significantly HW-reduced performance index in the non-inoculated plants was observed when compared to C2-inoculated individuals, which exhibited a performance index increase under heatwave conditions.…”

Section: Discussionmentioning

confidence: 99%

Improving Grapevine Heat Stress Resilience with Marine Plant Growth-Promoting Rhizobacteria Consortia

et al. 2023

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Amid climate change, heatwave events are expected to increase in frequency and severity. As a result, yield losses in viticulture due to heatwave stress have increased over the years. As one of the most important crops in the world, an eco-friendly stress mitigation strategy is greatly needed. The present work aims to evaluate the physiological fitness improvement by two marine plant growth-promoting rhizobacteria consortia in Vitis vinifera cv. Antão Vaz under heatwave conditions. To assess the potential biophysical and biochemical thermal stress feedback amelioration, photochemical traits, pigment and fatty acid profiles, and osmotic and oxidative stress biomarkers were analysed. Bioaugmented grapevines exposed to heatwave stress presented a significantly enhanced photoprotection capability and higher thermo-stability, exhibiting a significantly lower dissipation energy flux than the non-inoculated plants. Additionally, one of the rhizobacterial consortia tested improved light-harvesting capabilities by increasing reaction centre availability and preserving photosynthetic efficiency. Rhizobacteria inoculation expressed an osmoprotectant promotion, revealed by the lower osmolyte concentration while maintaining leaf turgidity. Improved antioxidant mechanisms and membrane stability resulted in lowered lipid peroxidation product formation when compared to non-inoculated plants. Although the consortia were found to differ significantly in their effectiveness, these findings demonstrate that bioaugmentation induced significant heatwave stress tolerance and mitigation. This study revealed the promising usage of marine PGPR consortia to promote plant fitness and minimize heatwave impacts in grapevines.

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Section: Discussionmentioning

confidence: 99%

Improving Grapevine Heat Stress Resilience with Marine Plant Growth-Promoting Rhizobacteria Consortia

et al. 2023

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“…Effective and precise irrigation is a challenging task due to spatial and temporal variation in meteorological and soil conditions (Ferentinos et al, 2017; Nebbali et al, 2012). Plants respond to these conditions instantaneously, by managing their water balance to optimize their productivity–survivability ratio (Markulj Kulundži et al, 2021). For example, adjustment of stomatal opening serves as a key physiological trait, optimizing the plant response by controlling the influx of CO 2 and H 2 0, to support photosynthesis and transpiration, respectively.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Evapotranspiration in a Commercial Greenhouse: A Comparative Study of Microclimatic Factors and Machine-Learning Algorithms

Averbuch,

Moshelion

2024

Preprint

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The FAO-56 Penman-Monteith equation (FPME) is commonly used to calculate evapotranspiration and apply necessary irrigation, based on environmental data usually taken from a single measuring station. In this study, we hypothesized that the accuracy of the FPME is affected by microclimatic changes over time and space within the target area. Therefore, we tested the impact of numerous spatial and temporal environmental measurement points in a commercial greenhouse on the accuracy of the FPME, by comparing its evapotranspiration evaluation to the actual evaporation measured by dozens of weighing lysimeters throughout the year. Additionally, we harnessed the capabilities of machine-learning algorithms to utilize the extensive data acquired for predicting evapotranspiration. Our results revealed that the daily FPME exhibited a -22% to +22% discrepancy in accuracy, as compared to the lysimeters, with overestimation in the winter and underestimation in the summer. Interestingly, using more data points per day led to less accurate FPME evaluation. The conflict between an increased number of data points and a reduction in accuracy was explained by daily hysteresis. Machine-learning algorithms (Decision Tree, Random Forest, XGBoost and Neural Network) showed impressive accuracy in predicting evapotranspiration, when the model dataset contained temporal parameters (R^2 > 0.918). Furthermore, we demonstrated that spatial sampling had a stronger effect on the accuracy of predictions than the amount of the data collected. Specifically, when we used 10% of the original dataset (3.01e5 entries) with high consideration of spatial measurements, the best-performing models (Random Forest and XGBoost) were highly accurate (R2 = 0.913 and R2 = 0.935, respectively). The top three most influential features of all models were light, day and hour, underscoring the importance of the temporal dimension. This approach allowed us to explore the potential of leveraging advanced computational methods to improve the estimation of water loss under various environmental conditions.

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“…The application of the ChlF method on sunflowers started immediately after its introduction [7,8]. Some of the resulting research on sunflower deal with the photosynthetic characteristics at different nitrogen inputs into the soil [9], differences under combined salt and drought stress [10], the impact of light and heat stress on sunflower genotypes [11,12], the effect of drought and heat stress on sunflower [13] and by examining the effects of other environmental stresses on sunflower plants.…”

Section: Introductionmentioning

confidence: 99%

“…The sunflower plant's potential was manifested by higher tissue permeability for CO 2 diffusion and high RuBisCO activity, which resulted from stomata on both sides of the leaf [30]. Furthermore, studying the behavior of ChlF parameters by stages of sunflower development, it was observed that the values of photosynthetic parameters depend on the sunflower development stage [31].…”

Section: Introductionmentioning

confidence: 99%

Detailed Insight into the Behaviour of Chlorophyll a Fluorescence Transient Curves and Parameters during Different Times of Dark Adaptation in Sunflower Leaves

Markulj Kulundžić,

Sudarić,

Matoša Kočar

et al. 2024

Agronomy

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The reason for this examination is today’s wide usage of chlorophyll a fluorescence (ChlF) among researchers worldwide to measure photosynthetic efficiency. Although the instructions of the ChlF measuring device clearly emphasize the need for methodology adjustments, depending on the specific plant species, many researchers use the usual 30 min of dark adaptation before measurement. Namely, before any ChlF measurement, it is necessary to determine the specific duration of the leaf adaptation to the conditions of darkness of each plant tissue. Because of the numerous uses of the ChlF measurements, we decided to conduct this research to determine whether the appearance of the curves and parameter values depend on the time of sunflower leaf tissue adaptation to dark conditions. Therefore, this research aimed to examine the optimal adaptation time of sunflower tissue to dark conditions to obtain timely precise measurements and credible appearance of ChlF transient curves as well as accurate parameter values. The research was carried out on the sunflower hybrid Luka with 0, 15, 30, 45, 60, 75 and 90 min of dark adaptation in the vegetative, budding and flowering stages in the field conditions. According to the analyzed transient curves and parameters, it was determined that sunflower leaves should be kept in dark conditions for at least 15 min before the measurement of ChlF, which leads to the complete oxidation of PSII and the electron transport chain prior to a saturating pulse of light.

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The Combination of Increased Temperatures and High Irradiation Causes Changes in Photosynthetic Efficiency

Cited by 11 publications

References 45 publications

Improving Grapevine Heat Stress Resilience with Marine Plant Growth-Promoting Rhizobacteria Consortia

Improving Grapevine Heat Stress Resilience with Marine Plant Growth-Promoting Rhizobacteria Consortia

Evaluating Evapotranspiration in a Commercial Greenhouse: A Comparative Study of Microclimatic Factors and Machine-Learning Algorithms

Detailed Insight into the Behaviour of Chlorophyll a Fluorescence Transient Curves and Parameters during Different Times of Dark Adaptation in Sunflower Leaves

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