Impact of lead on seed germination, seedling growth, chemical composition, and forage quality of different varieties of Sorghum

Osman, Hanan E.; Fadhlallah, Ruwaydah S.

doi:10.1007/s43994-022-00022-5

Cited by 16 publications

(4 citation statements)

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“…According to Siddiqui et al (2014), the inhibitory effect of HMs is more pronounced on seedling growth than on seed germination. Pb is not an essential element for plant growth (Peralta-Videa et al, Although species, such as Allium cepa, H. vulgare and Zea mays, can tolerate Pb via complexation and inactivation, others, such as Brassica napus, Phaseolus vulgaris, and three sorghum cultivars incur toxicity because Pb impairs certain metabolic pathways (Wierzbicka, 1999;Osman and Fadhlallah, 2023).…”

Section: Discussionmentioning

confidence: 99%

Effect of cadmium and lead on the morphology and protein profile of Calligonum comosum seeds

Alotaibi

2024

Front. Ecol. Evol.

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BackgroundSoils contaminated with heavy metals (HMs) pose a risk to human health via the food chain, as many edible plants absorb these metals. In turn, some of these plants could be used as phytoremediators for such soils. Calligonum comosum is an indigenous medicinal shrub that grows naturally in wide swaths of sandy soil in Saudi Arabia and has many advantages that render it a promising candidate for the treatment of HM-contaminated areas. But the impact of HM on this plant remains unknown, especially in the early stages of its development.ObjectiveThis investigation aimed to study the effects of lead (Pb) and cadmium (Cd) on the germination of C. comosum seeds under laboratory conditions, and assess the seeds’ response to these metals.MethodsThe C. comosum seed germination was monitored in Petri dishes containing Pb and Cd at increasing concentrations (25, 50, 75, and 100 µM) for up to 3 weeks. SDS-PAGE was used to examine the protein profile of germinated seeds and the western blot was used to assess the influence of HMs on the activities of the catalase enzyme and the beta subunit of ATP synthase (AtpB).ResultsThe germination rate and speed of C. comosum seeds were delayed by increasing concentrations of either Pb or Cd, but this effect was dose-dependent. SDS-PAGE analysis results revealed that exposure to both metals led to altered protein profiles as indicated by the resulting band intensities and disappearance of some proteins compared with the untreated controls. Further, the western blot analysis detected greater activity of catalase enzyme as well as AtpB in the Cd- and Pb-treated seeds.ConclusionC. comosum seeds treated with Cd or Pb enhance protein degradation and denaturation beside oxidative stress, leading to reduced seed viability. These results suggest oxidoreduction proteins and those involved in ATP synthesis are enhanced in C. comosum seeds in response to Cd and Pb stressors, which is a probable mechanism by which seeds may tolerate heavy metal stress.

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Section: Discussionmentioning

confidence: 99%

Effect of cadmium and lead on the morphology and protein profile of Calligonum comosum seeds

Alotaibi

2024

Front. Ecol. Evol.

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“…SHAP (Shapley Additive explanations) analysis is used for coffee berry disease analysis to gain interpretability and insights into the predictions made by machine learning models providing a quantitative measure of feature importance [37] is maintained by calculating each feature's contribution to the prediction of a specific instance. if the SHAP analysis shows that the size of the coffee berry is the most important feature, this means that the model is more likely to classify a berry as infected if it is larger than average.…”

Section: Shap Analysismentioning

confidence: 99%

Early Detection of Colletotrichum Kahawae Disease in Coffee Cherry Based on Computer Vision Techniques

Selvanarayanan,

Rajendran,

Alotaibi

2024

CMES

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Colletotrichum kahawae (Coffee Berry Disease) spreads through spores that can be carried by wind, rain, and insects affecting coffee plantations, and causes 80% yield losses and poor-quality coffee beans. The deadly disease is hard to control because wind, rain, and insects carry spores. Colombian researchers utilized a deep learning system to identify CBD in coffee cherries at three growth stages and classify photographs of infected and uninfected cherries with 93% accuracy using a random forest method. If the dataset is too small and noisy, the algorithm may not learn data patterns and generate accurate predictions. To overcome the existing challenge, early detection of Colletotrichum Kahawae disease in coffee cherries requires automated processes, prompt recognition, and accurate classifications. The proposed methodology selects CBD image datasets through four different stages for training and testing. XGBoost to train a model on datasets of coffee berries, with each image labeled as healthy or diseased. Once the model is trained, SHAP algorithm to figure out which features were essential for making predictions with the proposed model. Some of these characteristics were the cherry's colour, whether it had spots or other damage, and how big the Lesions were. Virtual inception is important for classification to virtualize the relationship between the colour of the berry is correlated with the presence of disease. To evaluate the model's performance and mitigate excess fitting, a 10-fold cross-validation approach is employed. This involves partitioning the dataset into ten subsets, training the model on each subset, and evaluating its performance. In comparison to other contemporary methodologies, the model put forth achieved an accuracy of 98.56%.

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“… 28 The germination of seeds, growth, and metabolic activities of plants are affected by the increased level of Pb, resulting in decreased crop yields. 29 Furthermore, due to HMs stress, there is a generation of OS in the plants which are responsible for the excessive production of reactive oxygen species (ROS) [OH − , O 2 2− , H 2 O 2 ] that causes damage to the plants at the cellular level. 30 …”

Section: Introductionmentioning

confidence: 99%

Lead toxicity in plants: mechanistic insights into toxicity, physiological responses of plants and mitigation strategies

Gupta,

Dwivedi,

Kumar

et al. 2024

Plant Signaling & Behavior

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Impact of lead on seed germination, seedling growth, chemical composition, and forage quality of different varieties of Sorghum

Cited by 16 publications

References 50 publications

Effect of cadmium and lead on the morphology and protein profile of Calligonum comosum seeds

Effect of cadmium and lead on the morphology and protein profile of Calligonum comosum seeds

Early Detection of Colletotrichum Kahawae Disease in Coffee Cherry Based on Computer Vision Techniques

Lead toxicity in plants: mechanistic insights into toxicity, physiological responses of plants and mitigation strategies

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