The influence of dissolved oxygen around rice roots on salt tolerance during pre-tillering and tillering phases

Lopes, Lineker de Sousa; Carvalho, Humberto Henrique de; Miranda, Rafael de Souza; Gallão, Maria Izabel; Gomes-Filho, Enéas

doi:10.1016/j.envexpbot.2020.104169

Cited by 7 publications

(3 citation statements)

References 52 publications

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“…The correlation coefficients should fall within the 95% confidence interval, Δ [29]. This is defined by (7), where L is the sample size.…”

Section: Ann and Narxmentioning

confidence: 99%

“…Low levels of DO will adversely affect the quality of paddy as the oxygen-rich water is required to promote root growth. The root uses oxygen for aerobic respiration which is an essential process that releases the energy in a healthy plant [7]. Therefore, monitoring the DO level in the irrigation channels could provide warning on the looming contamination in the water body, so that actions can be taken before it reaches the paddy fields.…”

Section: Introductionmentioning

confidence: 99%

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Non-Linear Autoregressive Dissolved Oxygen Prediction Model for Paddy Irrigation Channel

Aisha¹,

Thamrin²,

Ghazali³

et al. 2022

TEM Journal

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This study has proposed a non-linear autoregressive model to predict one-day ahead dissolved oxygen in paddy field irrigation channel. A 32-day data is obtained from Kampung Padang To’ La in Pasir Mas, Kelantan using off-the shelf water quality parameter sensors. Analysis has revealed no correlation between dissolved oxygen with pH and electrical conductivity. A non-linear autoregressive model is then developed using the dissolved oxygen measurements and artificial neural network. A prediction model developed using Levenberg- Marquardt algorithm yielded the best results with overall regression of 0.9253. The model has also passed all correlation tests and can therefore, be accepted.

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“…The correlation coefficients should fall within the 95% confidence interval, Δ [29]. This is defined by (7), where L is the sample size.…”

Section: Ann and Narxmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Non-Linear Autoregressive Dissolved Oxygen Prediction Model for Paddy Irrigation Channel

Aisha¹,

Thamrin²,

Ghazali³

et al. 2022

TEM Journal

View full text Add to dashboard Cite

show abstract

“…These anatomical characteristics are tightly coupled to fundamental physiological functions of plants, such as cellular respiration and photosynthesis. Their roles in mediating plant stress tolerance have been extensively explored in many plant species ( Jensen et al, 2005 ; Pi et al, 2009 ; Jovanovic et al, 2015 ; Dai et al, 2017 ; Cheng et al, 2020a , 2020b ; de Lopes et al, 2020 ; Mei et al, 2020 ; Scholz et al, 2021 ). Studies in mangrove plants suggest that differences in both porosity and ROL barrier contribute to different sensitivity to waterlogging, root zone hypoxia, nutrient limitation and heavy metal stress ( Pi et al, 2009 ; Dai et al, 2017 ; Cheng et al, 2020a , 2020b ; Pedersen et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Comparative study on anatomical traits and gas exchange responses due to belowground hypoxic stress and thermal stress in three tropical seagrasses

Soonthornkalump

Saewong

et al. 2022

PeerJ

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Background The ability to maintain sufficient oxygen levels in the belowground tissues and the rhizosphere is crucial for the growth and survival of seagrasses in habitats with highly reduced sediment. Such ability varies depending on plant anatomical features and environmental conditions. Methods In the present study, we compared anatomical structures of roots, rhizomes and leaves of the tropical intertidal seagrasses, Cymodocea rotundata, Thalassia hemprichii and Halophila ovalis, followed by an investigation of their gas exchange both in the belowground and aboveground tissues and photosynthetic electron transport rates (ETR) in response to experimental manipulations of O2 level (normoxia and root hypoxia) and temperature (30 °C and 40 °C). Results We found that C. rotundata and T. hemprichii displayed mostly comparable anatomical structures, whereas H. ovalis displayed various distinctive features, including leaf porosity, number and size of lacunae in roots and rhizomes and structure of radial O2 loss (ROL) barrier. H. ovalis also showed unique responses to root hypoxia and heat stress. Root hypoxia increased O2 release from belowground tissues and overall photosynthetic activity of H. ovalis but did not affect the other two seagrasses. More pronounced warming effects were detected in H. ovalis, measured as lower O2 release in the belowground tissues and overall photosynthetic capacity (O2 release and dissolved inorganic carbon uptake in the light and ETR). High temperature inhibited photosynthesis of C. rotundata and T. hemprichii but did not affect their O2 release in belowground tissues. Our data show that seagrasses inhabiting the same area respond differently to root hypoxia and temperature, possibly due to their differences in anatomical and physiological attributes. Halophila ovalis is highly dependent on photosynthesis and appears to be the most sensitive species with the highest tendency of O2 loss in hypoxic sediment. At the same time, its root oxidation capacity may be compromised under warming scenarios.

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H2O2 priming induces proteomic responses to defense against salt stress in maize

et al. 2021

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The influence of dissolved oxygen around rice roots on salt tolerance during pre-tillering and tillering phases

Cited by 7 publications

References 52 publications

Non-Linear Autoregressive Dissolved Oxygen Prediction Model for Paddy Irrigation Channel

Non-Linear Autoregressive Dissolved Oxygen Prediction Model for Paddy Irrigation Channel

Comparative study on anatomical traits and gas exchange responses due to belowground hypoxic stress and thermal stress in three tropical seagrasses

H2O2 priming induces proteomic responses to defense against salt stress in maize

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