Growth, Chlorophyll Fluorescence, Leaf Gas Exchange and Phytochemicals of Centella asiatica Exposed to Salinity Stress

Ibrahim, Mohd Hafiz; Shibli, Nurul Izzati; Izad, Ayu Azera; Zain, Nurul Amalina Mohd

doi:10.9734/arrb/2018/41014

Cited by 4 publications

(3 citation statements)

References 33 publications

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“…While at lower salinity level (60 mM) reduction of 20% was observed. Similar studies of reduction in shoot fresh weight of shoot was reported by Ors et al [20] in tomato, Dolatabadian et al [21] in soybean, and reduction in shoot dry weight by Dong et al [22] in sugarbeet, Ibraham et al [23] in Indian Pennywort.…”

Section: Resultssupporting

confidence: 78%

Response of NaCl and Brassinolide in Stevia rebaudiana under in vitro Condition

Singh

Dwivedi²,

Sahni³

et al. 2022

IJPSS

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The current work sought to investigate the impact of two chemicals (NaCl and Brassinolide) on growth parameters, chlorophyll pigments in stevia shoots cultured under in vitro condition. For this, nodal explants of stevia were cultured for four weeks on MS medium supplemented with 0.2 mg l-1 BAP, Kinetin 0.2 mg l-1 and various concentrations of NaCl (0, 60, 70, 90, 120, 150 mM) and BL (0, 1, 2, 3 4, 5µM) for screening under in vitro condition. Explant treated with NaCl showed reduction with increasing salinity levels in all the studied parameters while explants treated with Brassinolide showed best results in all the studied parameters. From the results, it is concluded that the stevia plant was less impacted by 60mM and 70mM NaCl concentrations when compared to other concentrations of NaCl, but BL increased/improved all the examined parameters when compared to control; 1µM and 2µM concentrations of BL responded the best.

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Section: Resultssupporting

confidence: 78%

Response of NaCl and Brassinolide in Stevia rebaudiana under in vitro Condition

Singh

Dwivedi²,

Sahni³

et al. 2022

IJPSS

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“…The overall cultivation condition is summarized in Table 1. These targeted LED combinations and EC levels were selected based on the findings in [43][44][45][46] and [47][48][49][50][51], respectively. A wireless sensor network (XBee-Pro, Digi, Hopkins, MN, USA) was used to monitor the ambient environmental parameters and control the relevant actuators, as detailed by [52].…”

Section: Plant Factory Preparation and Operationmentioning

confidence: 99%

Leaf Area Prediction of Pennywort Plants Grown in a Plant Factory Using Image Processing and an Artificial Neural Network

Reza,

Chowdhury,

Islam

et al. 2023

Horticulturae

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The leaf is a primary part of a plant, and examining the leaf area is crucial in understanding growth and plant physiology. Accurately estimating leaf area is key to this understanding. This study proposed a methodology for the non-destructive estimation of leaf area in pennywort plants using image processing and an artificial neural network (ANN) model. The image processing method involved a series of steps, including grayscale conversion, histogram equalization, binary masking, and region filling, achieving an accuracy of around 96.6%. The ANN model, trained with 70% of a dataset, exhibited high correlations of 97.1% in training and 96.6% in testing phases, with leaf length and width significantly impacting the model output. A comparative analysis revealed the superior performance of the ANN model over the image processing method, demonstrating higher R2 values (>0.99) and lower errors. Furthermore, it showed the impact of diverse LED light combinations and nutrient levels (electrical conductivity, EC) on pennywort plant growth, indicating that the R70:B30 LED light ratio with nutrient level 2 (2.0 dS·m−1) fostered the most favorable growth for pennywort plants. The non-destructive nature, simplicity, and speed of the ANN model in estimating leaf area based on easily obtainable measurements of length and width render it an accessible and accurate tool for plant growth assessment in controlled environments. This approach offers opportunities for future studies, tracking changes in leaf areas under varied growth conditions without harming the plant, thus enhancing precision in research.

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“…In vitro salt stress has been researched in many medicinal plants like Centella asiatica (L.) Urb., Catharanthus roseus (L.) G. Don, Trigonella foenum-graecum L., Carthamus tinctorius L. etc. (Jaleel et al, 2008;Gengmao et al, 2015;Sahari et al, 2016;Ibrahim et al, 2018). To adapt unfavorable stress conditions, the salt tolerant plants produce different secondary metabolites to serve cellular functions essential for physiological processes.…”

Section: Introductionmentioning

confidence: 99%

In vitro salt tolerance induced secondary metabolites production in Abrus precatorius L.

Deepa¹,

Farshana²

2021

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The white seeded Abrus precatorius L. is an important herbaceous medicinal plant with broad range of therapeutic effects. In the present study, the internode was selected as explant for in vitro salt tolerance analysis. For callus induction, MS medium with different concentrations and combinations of BAP, KIN and IBA were used. Better callus Fresh Weight and Dry Weight observed on MS medium supplemented with BAP 0.5mg/l and KIN 1mg/l. To detect the in vitro salt tolerance potential of calli, NaCl at different concentrations (0, 20, 40, 60, 80 and 100mM) were supplemented on MS+BAP0.5mg/l+KIN1mg/l of which 40mM NaCl induced better callus proliferation. The callus grown without NaCl stress showed the presence of eight phytochemical compounds in GC-MS analysis. While the NaCl stress tolerant callus exhibited the presence of seventeen phytochemical compounds. All these analyzed compounds were with antimicrobial / anti-oxidant properties. The present work will be very much helpful to ameliorate the production of medicinally significant compounds in the pharmaceutical industry.

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Growth, Chlorophyll Fluorescence, Leaf Gas Exchange and Phytochemicals of Centella asiatica Exposed to Salinity Stress

Cited by 4 publications

References 33 publications

Response of NaCl and Brassinolide in Stevia rebaudiana under in vitro Condition

Response of NaCl and Brassinolide in Stevia rebaudiana under in vitro Condition

Leaf Area Prediction of Pennywort Plants Grown in a Plant Factory Using Image Processing and an Artificial Neural Network

In vitro salt tolerance induced secondary metabolites production in Abrus precatorius L.

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