Indicators of phosphorus status in soils: significance and relevance for crop soils in southern Belgium. A review

Renneson, Malorie; Barbieux, Sophie; Colinet, Gilles

doi:10.25518/1780-4507.13021

Cited by 13 publications

(4 citation statements)

References 52 publications

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“…extraction efficiency of the test methods(Otabbong et al, 2004). Therefore, some extraction methods are specific to a country or region, while others are universal(Renneson et al, 2016). Despite the above sources' complexity associated with P extraction and spectral response, deploying the SG-ML method enabling powerful learning from various aspects of the input data, is a useful strategy to improve the P prediction using MIRS, a conclusion that is supported by the results achieved in this study.…”

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confidence: 71%

Combining mid infrared spectroscopy with stacked generalisation machine learning for prediction of key soil properties

Nawar

Mouazen

2022

European J Soil Science

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Accurate assessment of key soil attributes such as soil organic carbon (OC), available phosphorus (P), and available potassium (K) using mid‐infrared spectroscopy (MIRS) is essential for better soil management in precision agriculture. However, the calibration of the portable version of MIRS is more challenging than the benchmark technologies, hence, demanding more efficient modelling methods to provide accurate outcomes. This research aims to use the stacked generalisation machine learning (SG–ML) framework, combining support vector machine (SVM), gradient boosted regression (GBR), and random forest (RF), using linear ridge regression as a meta learner, for predicting OC, P, and K using MIR spectra of 375 soil samples collected from four farms (Flanders, Belgium). The performance of the SG–ML models was compared with the multilayer perceptron (MLP) deep learning (DL) method. Results showed the superiority of the SG–ML method over the corresponding single ML and DL models. The predictive performance of SG–ML using the validation set was excellent for the three soil attributes, with coefficient of determination (R2) and root mean square error (RMSE) values of 0.88% and 0.10%, 0.85 and 4.53 mg 100 g−1, and 0.84 and 3.87 mg 100 g−1 for OC, K, and P, respectively. The performance of DL models were good for OC (R2 = 0.65, and RMSE = 0.17%), poor for K (R2 = 0.58 and RMSE = 7.59 mg 100 g−1), and very poor for P (R2 = 0.46, and RMSE = 6.57 mg 100 g−1). The SG–ML reduced the prediction RMSE by 10% to 31%, compared with the single ML (SVM, RF, and GBR) models. In summary, the proposed stacking method is a powerful modelling tool for the accurate prediction of key soil attributes using portable MIRS. Highlights Machine learning (ML) and deep learning (DL) models were developed based on mid‐infrared soil spectra. The stacked generalisation ML (SG–ML) was compared with ML and DL for predicting OC, P, and K. SG–ML models outperformed ML (GBR, RF, and SVM) and deep learning (DL) models. The SG–ML models significantly decreased RMSE by 10% to 31% compared with the single ML models.

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confidence: 71%

Combining mid infrared spectroscopy with stacked generalisation machine learning for prediction of key soil properties

Nawar

Mouazen

2022

European J Soil Science

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“…Indicators of soil P status. An important issue associated with this topic is the effects of compost application on soil status in relation to P, which is assessed on the basis of P sorption capacity (PSC) and the degree of P saturation (DPS), according to which the environmental risks associated with the release of P are commonly estimated [79,80]. We also used other indicators (Table 7) that are considered to be useful for assessing environmental risks associated with problematic phosphorus management [54,56,57], which were the soil P storage capacity (SPSC) and P saturation ratio (PSR), previously mentioned in the Section 2.…”

Section: Dynamics Of P Forms In Compost-amended Soilmentioning

confidence: 99%

The Influence of Municipal Solid Waste Compost on the Tranformations of Phosphorus Forms in Soil

et al. 2023

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Searching for a renewable phosphorus (P) source for agricultural soils has become a challenge of particular importance on a global scale. Depletion of the world’s phosphate resources as well as the risk of environmental problems caused by excessive P mobility have placed this topic among the most important environmental issues. The aim of this study was to analyse the transformation of phosphorus forms in municipal solid waste compost (MSWC) at different maturity stages, to assess the effects of their application on soil phosphorus status and to evaluate the suitability of MSWC for agricultural soils as a potential phosphorus source. The application of MSWC to the soil had a positive effect on the content of available P. The content of potentially mobile P forms increased significantly in the soil, primarily after the introduction of immature MSWC and confirmed by the significant correlations with the applied P indicators. However, the results indicate that the MSWC does not pose a serious environmental risk and could become a potential source of P in the soil, although the material used for this purpose should be mature. This study also indicated that the assessment of using compost as a P source should not be based on P total content alone, but should include the content of different P forms and specific P-related indicators, to reflect both the P availability and the potential environmental risks.

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“…In plants, P takes up between 0.1% and 0.5% of dry weight, and it constantly exists in ortho-and pyrophosphate, two of its greatest oxidation states [24]. The majority of Pi fertilizer is leached into the ecosystem, with negative effects such as soil degradation and water eutrophication [2]. Plants only take up 15-25% of the available nutrients [24].…”

Section: Phosphorus Availability To Plantsmentioning

confidence: 99%

“…Among these effects, the following can be pointed out: phosphorus poisoning caused by excessive absorption, increasing its concentration in plant tissues, and disrupting the balance of nutritional elements; accumulation of boron in the plant to the extent of toxicity; reducing the absorption of copper; immobilizing iron in the soil and preventing its absorption by the root; disrupting the metabolism of zinc in the plant; reducing mycorrhization of the root; soil contamination with cadmium; decreasing the yield and quality of the product; increasing the negative charge of soil and water pollution to phosphorus and occurrence of the eutrophication phenomenon; etc. [1][2][3][4]. For this reason, today, agricultural operations have moved towards more sustainable and environmentally friendly approaches.…”

Section: Introductionmentioning

confidence: 99%

Rock Phosphate Solubilizing Potential of Soil Microorganisms: Advances in Sustainable Crop Production

et al. 2023

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Phosphorus (P) is one of the most important elements required for crop production. The ideal soil pH for its absorption by plants is about 6.5, but in alkaline and acidic soils, most of the consumed P forms an insoluble complex with calcium, iron, and aluminum elements and its availability for absorption by the plant decreases. The supply of P needed by plants is mainly achieved through chemical fertilizers; however, in addition to the high price of these fertilizers, in the long run, their destructive effects will affect the soil and the environment. The use of cheap and abundant resources such as rock phosphate (RP) can be an alternative strategy for P chemical fertilizers, but the solubilization of P of this source has been a challenge for agricultural researchers. For this, physical and chemical treatments have been used, but the solution that has recently attracted the attention of the researchers is to use the potential of rhizobacteria to solubilize RP and supply P to plants by this method. These microorganisms, via. mechanisms such as proton secretion, organic and mineral acid production, siderophore production, etc., lead to the solubilization of RP, and by releasing its P, they improve the quantitative and qualitative performance of agricultural products. In this review, addressing the potential of rhizosphere microbes (with a focus on rhizobacteria) as an eco-friendly strategy for RP solubilization, along with physical and chemical solutions, has been attempted.

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Indicators of phosphorus status in soils: significance and relevance for crop soils in southern Belgium. A review

Cited by 13 publications

References 52 publications

Combining mid infrared spectroscopy with stacked generalisation machine learning for prediction of key soil properties

Combining mid infrared spectroscopy with stacked generalisation machine learning for prediction of key soil properties

The Influence of Municipal Solid Waste Compost on the Tranformations of Phosphorus Forms in Soil

Rock Phosphate Solubilizing Potential of Soil Microorganisms: Advances in Sustainable Crop Production

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