Arsenic concentrations in soil, water, and rice grains of rice-growing areas of Punjab, Pakistan: multivariate statistical analysis

Shehzad, Muhammad Tahir; Ṣābir, Muḥammad; Rehman, Muhammad Zia ur; Zia, Muhammad Anjum; Naidu, Ravi

doi:10.1007/s10661-022-10001-2

Cited by 14 publications

(4 citation statements)

References 42 publications

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“…It was observed that Cd and Pb bioaccumulation in different vegetable and fodder crops is strongly correlated with translocation from soil to root, irrespective of the fact that roots were major residing components [ 56 ]. The translocation of Cd and Pb to aerial parts was found to be strongly dependent on the soil-to-root translocation factor [ [57] , [58] , [59] ]. The results highlighted the transfer characteristics of Cd and Pb from soil to the edible parts of various vegetable and field crop species, emphasizing the importance of controlling Cd and Pb concentrations in plants, particularly in the edible parts of crops, to ensure food safety.…”

Section: Resultsmentioning

confidence: 99%

“…The disturbance of enzyme activity, especially thiol group-containing enzymes and antioxidants, has been observed due to heavy metal ions like Cd, Pb, As, Cr, and Hg [ 63 ]. The findings from various studies have highlighted the potential health risks associated with the long-term ingestion of vegetables contaminated with heavy metals, emphasizing the need for continuous monitoring and effective measures to mitigate these health risks [ 2 , 3 , 20 , 58 , 60 ].…”

Section: Resultsmentioning

confidence: 99%

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Cadmium and lead accumulation in important food crops due to wastewater irrigation: Pollution index and health risks assessment

Alhaj Hamoud,

Shaghaleh,

Zia-ur-Rehman

et al. 2024

Heliyon

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Cadmium and lead accumulation in important food crops due to wastewater irrigation: Pollution index and health risks assessment

Alhaj Hamoud,

Shaghaleh,

Zia-ur-Rehman

et al. 2024

Heliyon

Self Cite

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“…Tomato fruit samples were randomly taken from each experimental sub-plot, ovendried at 70 ± 5 • C until constant weight, and ground in a stainless-steel grinder. Total P was determined by the Vanado-molybdate method, K and Ca were determined by flame photometry, and the sample for Mg was determined by atomic absorption spectrophotometer following the method described by Shehzad et al [43]. Total N was analyzed using the micro-Kjeldahl procedure as described, and crude protein was obtained by multiplying the total N by a factor of 6.25 [44].…”

Section: Nutritional Quality Of the Tomatomentioning

confidence: 99%

Morphological and Physiological Response of Tomato to Sole and Combined Application of Vermicompost and Chemical Fertilizers

Qasim

Zhao

et al. 2023

Agronomy

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Chemical fertilizers are commonly used to meet the nutritional demands of crops and boost their yields. However, their high costs and excessive application in soils increase the cost of production and have negative effects on the soil and environmental health. Vermicompost is an organic amendment that can potentially lessen the dependence on chemical fertilizers, with the additional advantages of sustainable nutrient supply to crops and maintaining soil health. To evaluate the potential of the two diverse vermicompost, the sole and combined applications of these vermicompost with reduced rates of chemical fertilizers were used for tomato cultivation in a field study. The results indicated that vermicompost produced from cattle manure combined with chemical fertilizers was more effective in improving tomato growth, physiology, yield, and nutritional attributes. Compared to the control treatment (NP applied), the combined application of vermicompost and chemical fertilizer significantly improved the root length (21.6%), plant height (167%), SPAD value (13.5%), chlorophyll ‘a’ (96%), chlorophyll ‘b’ (161%), relative water content (16%), membrane stability index (18%), carotenoid (87%), yield (82%), photosynthetic rate (148%), fruit diameter (83%), protein (89%), fat (27.5%), fiber (12%), vitamin C (52%), calcium (54%), magnesium (117%), phosphorus (38%) and potassium (128%). In addition, significant improvements in different soil physicochemical properties were also pragmatic. The results suggest that vermicompost application with reduced doses of chemical fertilizers can be used to improve crop yield and soil physico-chemical properties.

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“…Some regions in the Sindh province, such as Jamshoro [28], Manchar Lake and Tharparkar [29,30], Hyderabad [31], and Nawabshah [9], currently suffer from contamination. Some regions in the Punjab province also suffer from this issue, including Multan [32], Lahore [33], Sialkot [34], Jhelum [35], Mandi Bahauddin [36], Gujrat [24], Sheikhupura [37], Vehari [2], and Sargodha [38]. Groundwater studies have, thus far, been limited to investigating the effects of groundwater contamination on human life.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Algorithms for Predicting the Water Quality Index

Hussein,

Jat Baloch,

Nigar

et al. 2023

Water

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Groundwater is one of the water resources used to preserve natural water sources for drinking, irrigation, and several other purposes, especially in industrial applications. Human activities related to industry and agriculture result in groundwater contamination. Therefore, investigating water quality is essential for drinking and irrigation purposes. In this work, the water quality index (WQI) was used to identify the suitability of water for drinking and irrigation. However, generating an accurate WQI requires much time, as errors may be made during the sub-index calculations. Hence, an artificial intelligence (AI) prediction model was built to reduce both time and errors. Eighty data samples were collected from Sakrand, a city in the province of Sindh, to investigate the area’s WQI. The classification learners were used with raw data samples and the normalized data to select the best classifier among the following decision trees: support vector machine (SVM), k-nearest neighbors (K-NN), ensemble tree (ET), and discrimination analysis (DA). These were included in the classification learner tool in MATLAB. The results revealed that SVM was the best raw and normalized data classifier. The prediction accuracy levels for the training data were 90.8% and 89.2% for the raw and normalized data, respectively. Meanwhile, the prediction accuracy levels for the testing data were 86.67 and 93.33% for the raw and normalized data, respectively.

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Arsenic concentrations in soil, water, and rice grains of rice-growing areas of Punjab, Pakistan: multivariate statistical analysis

Cited by 14 publications

References 42 publications

Cadmium and lead accumulation in important food crops due to wastewater irrigation: Pollution index and health risks assessment

Cadmium and lead accumulation in important food crops due to wastewater irrigation: Pollution index and health risks assessment

Morphological and Physiological Response of Tomato to Sole and Combined Application of Vermicompost and Chemical Fertilizers

Machine Learning Algorithms for Predicting the Water Quality Index

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