Chemical Constituents of Cordia dichotoma G. Forst.

Ragasa, Consolacion Y.; Ebajo, Virgilio D.; Reyes, Mariquit M. De Los; Mandia, Emelina H.; Tan, Maria Carmen S.; Brkljača, Robert; Urban, Sylvia

doi:10.7324/japs.2015.58.s3

Cited by 17 publications

(7 citation statements)

References 19 publications

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“…Hence, compound 1 is identified as β-sitosterol-3- O -β- d -glucoside-6′-palmitate and 2 as β-sitosterol-3- O -β- d -glucoside (daucosterol) Figure 1 . The NMR data of compounds 1 ( 13 ) and 2 ( 14 ) are in agreement with those reported in the literature. This is the first report of the isolation of 2 from this plant, while 1 is isolated here for the first time from the genus Salsola .…”

Section: Resultssupporting

confidence: 90%

Isolation of New Constituents from Whole Plant of Salsola imbricata Forssk. of Saudi Origin

et al. 2022

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This work describes the first report of the known glycosidic constituents β-sitosterol-3- O -β- d -glucoside-6′-palmitate ( 1 ), β-sitosterol-3- O -β- d -glucoside ( 2 ), momor-cerebroside I ( 3 ), phytolacca cerebroside ( 4 ), 1,2-di- O -palmitoyl-3- O -(6-sulfoquinovopyranosyl)-glycerol ( 5 ), isorhamnetin-3-robinobioside ( 6 ), and isorhamnetin-3-rutinoside ( 7 ) from the plant Salsola imbricata Forssk. grown in the eastern region of Saudi Arabia. The structures of the isolated compounds were elucidated from extensive 1D and 2D nuclear magnetic resonance (NMR), gas chromatography–mass spectrometry (GC–MS), liquid chromatography-mass spectrometry (LC–MS), and chemical analyses. Compound 1 is reported for the first time from the Amaranthaceae family. In addition to the isolated and identified fatty alcohols, compounds 3 , 4 , 5 , and 6 are also reported for the first time from the genus Salsola . The findings of this study suggest a contribution of the isolated compounds to the various biological activities reported for this plant.

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Section: Resultssupporting

confidence: 90%

Isolation of New Constituents from Whole Plant of Salsola imbricata Forssk. of Saudi Origin

et al. 2022

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“…It is an ethnomedicinal plant from the family Boraginaceae that is mostly valued for its hepatoprotective, anti-diabetic, analgesic, anti-ulcer, anthelmintic, anti-inflammatory, aphrodisiac, immune-modulator, and diuretic properties (Hussain & Kakoti, 2013;Jamkhande & Barde, 2014;Rahman & Akhtar, 2016b;Prajapati et al, 2017;Bhaldar et al, 2021). Leaves, Fruits and seeds include sterols, pyrrolizidine alkaloids, apigenin, coumarins, taxifolin, flavonoids (kaempferol, quercetin, and isorhamnetin), saponins, terpenes, stearic, oleic, and linoleic acids, as well as coumarins, stearic acid, and apigenin (Ganjare et al, 2011;Jayaramudu et al, 2011;Jamkhande et al, 2013;Ragasa et al, 2015;Rahman & Akhtar, 2016a;Ali et al, 2017). The commercially and medicinally significant plant C. dichotoma is mostly harmed by gall disease in India.…”

Section: Introductionmentioning

confidence: 99%

Efficacy of chlorophyll a fluorescence kinetics and JIP test for early detection of leaf-gall disease in Cordia dichotoma

Bhatt,

Anjana,

Soni

2024

JPSP

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Gall-induced oxidative stress impairs photosynthesis and ultimately negatively affects a plant’s productivity and yield. Cordia dichotoma is an economically important plant that suffers from galls produced by the insect Aceria gallae. So we investigated how plants deal with such biotic stress by studying chlorophyll fluorescence OJIP transient analysis. The results indicate the intensive variations in minimum-maximum fluorescence, electron transport, light-harvesting efficiency and density of active reaction centers. When reaction centers become inactive in severely infected leaves a significant rise in ABS/RC and TR/RC indicates the expanded antenna size of Photosystem-II which shows the plant's efforts to enhance photon absorption. But the electron transport was blocked due to OECs deactivation, remarkably altered ET/RC and phenomenological fluxes (ABS/CS, TR/CS and ET/CS). The J-curve distortion confirms blockage of electron transport towards PS-I since PQ is fully reduced and unable to grape electrons from QB. Leaf galls carry out noteworthy alterations in Kp, Kn, and primary and secondary photochemistry. But more severe infection causes complete obstruction for electron transport which finally diminishes performance indices (PIabs and PIcs) quantum yield of photosynthesis (φPo), and electron transport (φEo) which increases dissipation and eventually causes the death of the most severely infested leaf. Present studies reveal that measurement of FV/F0, PIabs, and PIcs may be used as a physiological marker for the early diagnosis of gall stress in C. dichotoma. Our results also suggest that repetitive detection of photosynthetic performance through chlorophyll a fluorescence analysis and a JIP-test can be used as potent tools to prevent plants from appearing the visible symptoms of any pathogenic infection.

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“…Its leaves and other parts are used for the cure of diabetic, ulcer, inflammatory, immune-modulator, and analgesic problems. Its leaves and other parts are also used as anthelmintic, larvicidal, hepatoprotective, dysentery and to cure dyspepsia [3]. It is also used to cure various diseases like kidney, liver, spleen, as well as heart and blood diseases.…”

Section: Introductionmentioning

confidence: 99%

Automatic Early Diagnosis of Dome Galls in Cordia Dichotoma G. Forst. Using Deep Transfer Learning

et al. 2023

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There are several infections and diseases that can affect plants. Diagnosis of plant diseases is a challenging task. A fascinating method for identifying plant diseases is computer-based diagnosis using digital images of plant's leaves. Most of the earlier research in this field has been devoted to feature engineering and traditional machine learning (ML) techniques. Based on hand-crafted features taken from digital photographs of the plant's leaves, these methods identify various plant diseases. It can be challenging to use feature engineering to extract high-quality features from these digital images. Deep learning (DL) algorithms, have relieved feature engineering by automatically extracting and learning resilient features. However, the high number of parameters in conventional DL models typically leads to overfitting. Therefore, gradient vanishing problems in vast networks intensify learning failure and generalization errors. Additionally, getting a big dataset for starting from scratch to train a deep learning model is also difficult. To solve these issues to detect Dome Galls in Cordia dichotoma G. Forst. early, this research suggests quick and efficient deep transfer learning (DTL) model. In the proposed method, a custom dataset of Cordia dichotoma leaf images is created. 1784 images of Cordia dichotoma leaf are collected in real world environment, and offline augmentation techniques are applied for obtaining the final training dataset of 5400 images. Further, image preprocessing techniques are used to enhance the images. A DL model, Yolov4, has been modified and is trained for the early detection of dome galls in the leaves of Cordia. The model is trained using pre-trained weights, a process called transfer learning (TL). The model is tested on another set of 200 images, and the results show an accuracy of 95% and an F1-score of 95.8%. Experimental results show that the modified Yolov4 performs 3% more accurately than the original Yolov4.

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Chemical Constituents of Cordia dichotoma G. Forst.

Cited by 17 publications

References 19 publications

Isolation of New Constituents from Whole Plant of Salsola imbricata Forssk. of Saudi Origin

Isolation of New Constituents from Whole Plant of Salsola imbricata Forssk. of Saudi Origin

Efficacy of chlorophyll a fluorescence kinetics and JIP test for early detection of leaf-gall disease in Cordia dichotoma

Automatic Early Diagnosis of Dome Galls in Cordia Dichotoma G. Forst. Using Deep Transfer Learning

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