Method development and validation for the determination of potassium (K2O) in fertilizer samples by flame photometry technique

Ullah, Rehmat; Abbas, Zafar; Bilal, Muhammad; Habib, Fareeha; Iqbal, Javed; Bashir, Farhat; Noor, Sobia; Qazi, Muhammad Akram; Niaz, Abid; Baig, Khurram Shehzad; Rauf, Abdul; Latif, Rizwan; Akhtar, Imran; Barkat, Amina; Ullah, Muhammad Ihsan; Al-Hashimi, Abdulrahman; Elshikh, Mohamed S.; Ali, Shahbaz; Saeed-ur-Rehman, Hafiz

doi:10.1016/j.jksus.2022.102070

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…The NaHCO 3 extraction method was used to determine available P and further analyzed with a spectrophotometer (UV2550, Shimadzu, Japan) by the procedure described by [31]. However, the previously described method determined the available K content [32]. The methods of [32] determined the soil total P and K.…”

Section: Soil Nutrientsmentioning

confidence: 99%

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The High Phosphorus Incorporation Promotes the Soil Enzymatic Activity, Nutritional Status, and Biomass of the Crop

Iqbal¹,

Khan²,

Javed³

et al. 2023

Pol. J. Environ. Stud.

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Phosphorus (P) application in the soil improves soil fertility and thus contributes to reproductive organ development, resulting in a higher cotton yield. However, the effect of increasing phosphorus rate on soil nutrient status, phosphorus-related enzyme activities, and its effects on crop productivity needs excellent attention. A consecutive two-year (2017-2018) field experiment containing three phosphorus levels [0 (P1), 100 (P2), and 200 (P3) kg P 2 O 5 ha -1 ] was accomplished by maintaining three replications. During both cropping years, soil samples were gathered from the topsoil (0-20 cm) and subsurface (20-40 cm) during the harvesting stage of the cotton crop. Soil collected at topsoil showed a significant increase in available and total phosphorus contents and urease and acid, alkaline, and neutral phosphatase enzyme activities compared with the sub-soil. The soil nutrients, viz. ammonium, nitrate, total nitrogen, available potassium, and total potassium, were significantly higher in P3 at the topsoil compared to other treatments. Soil enzymes viz. urease and acid, alkaline, and neutral phosphatase activities in the P3 were improved compared to the P1 and P2 applications. On average, the activities of these enzymes were maximum in 2017 at both soil depths. Moreover, the maximum biomass accumulation was observed in vegetative (root, stem, and leaves) and reproductive (bur, lint, and seed) organs with P3 incorporation in the soil. Similarly, an increase in the phosphorus application rate significantly enhanced the plant biomass and seed cotton yield during the 2017 and 2018 cropping seasons. Conclusively, the findings of this study showed that the P3 (200 kg P 2 O 5 ha −1 ) rate enhanced cotton productivity by improving the soil physicochemical properties, which alternately enhanced

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Section: Soil Nutrientsmentioning

confidence: 99%

“…However, the previously described method determined the available K content [32]. The methods of [32] determined the soil total P and K.…”

Section: Soil Nutrientsmentioning

confidence: 99%

The High Phosphorus Incorporation Promotes the Soil Enzymatic Activity, Nutritional Status, and Biomass of the Crop

Iqbal¹,

Khan²,

Javed³

et al. 2023

Pol. J. Environ. Stud.

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“…Nutritional diagnosis analysis based on leaves can serve as the basis for nutritional analysis and diagnosis of apple trees. Traditional diagnostic methods for crop potassium deficiency include empirical diagnosis and chemical determination ( Ullah et al., 2022 ). Empirical diagnosis is subjective and has significant limitations, which can lead to human errors.…”

Section: Introductionmentioning

confidence: 99%

Potassium deficiency diagnosis method of apple leaves based on MLR-LDA-SVM

Xu,

Sun,

Wang

et al. 2023

Front. Plant Sci.

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IntroductionAt present, machine learning and image processing technology are widely used in plant disease diagnosis. In order to address the challenges of subjectivity, cost, and timeliness associated with traditional methods of diagnosing potassium deficiency in apple tree leaves. MethodsThe study proposes a model that utilizes image processing technology and machine learning techniques to enhance the accuracy of detection during each growth period. Leaf images were collected at different growth stages and processed through denoising and segmentation. Color and shape features of the leaves were extracted and a multiple regression analysis model was used to screen for key features. Linear discriminant analysis was then employed to optimize the data and obtain the optimal shape and color feature factors of apple tree leaves during each growth period. Various machine-learning methods, including SVM, DT, and KNN, were used for the diagnosis of potassium deficiency. ResultsThe MLR-LDA-SVM model was found to be the optimal model based on comprehensive evaluation indicators. Field experiments were conducted to verify the accuracy of the diagnostic model, achieving high diagnostic accuracy during different growth periods. DiscussionThe model can accurately diagnose whether potassium deficiency exists in apple tree leaves during each growth period. This provides theoretical guidance for intelligent and precise water and fertilizer management in orchards.

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A study of potent biofertiliser and its degradation ability of monocrotophos and its in silico analysis

Krishnaswamy

Kumar

et al. 2023

Chemosphere

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Method development and validation for the determination of potassium (K2O) in fertilizer samples by flame photometry technique

Cited by 4 publications

References 30 publications

The High Phosphorus Incorporation Promotes the Soil Enzymatic Activity, Nutritional Status, and Biomass of the Crop

The High Phosphorus Incorporation Promotes the Soil Enzymatic Activity, Nutritional Status, and Biomass of the Crop

Potassium deficiency diagnosis method of apple leaves based on MLR-LDA-SVM

A study of potent biofertiliser and its degradation ability of monocrotophos and its in silico analysis

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