Evaluating Impacts of Biochar and Inorganic Fertilizer Applications on Soil Quality and Maize Yield Using Principal Component Analysis

dc.contributor.authorOluwaseun Temitope Faloye
dc.contributor.authorAyodele Ebenezer Ajayi
dc.contributor.authorViroon Kamchoom
dc.contributor.authorOlayiwola Akin Akintola
dc.contributor.authorPhilip Gbenro Oguntunde
dc.date.accessioned2025-07-21T06:11:52Z
dc.date.issued2024-08-12
dc.description.abstractA 2-year field experiment was conducted to test the effects of individual and co-application of biochar and inorganic fertilizer on soil quality using the principal component analysis (PCA) technique. The dry season field experiments were performed with biochar applied at 0 and 20 t ha−1, and fertilizer at 300 and 0 kg ha−1 (control). The factorial combinations of the above-mentioned treatments were subjected to irrigation at 60, 80, and 100% of irrigation amounts (IAs). Soil hydro-physical and chemical properties and grain yield were determined at harvest. Results from the PCA indicated that the soil total nitrogen (N) and moisture content (MC) were the soil properties mostly affecting the grain yield. The amendments’ effects on the soil physico-chemical properties and maize yield were in the order control < biochar < fertilizer < biochar + fertilizer. The derived comprehensive soil quality index (CSQI) from the PCA showed that the soil quality increased by 76, 100, and 200% in treatments individually applied with biochar, inorganic fertilizer, and the co-applications. This study therefore showed that the PCA revealed the actual dynamics in soil properties, in terms of the SQI upon the soil amendment addition, as well as their relationship with maize yield under different weather conditions.
dc.identifier.doi10.3390/agronomy14081761
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/13869
dc.subjectSoil Quality
dc.subject.classificationSoil Carbon and Nitrogen Dynamics
dc.titleEvaluating Impacts of Biochar and Inorganic Fertilizer Applications on Soil Quality and Maize Yield Using Principal Component Analysis
dc.typeArticle

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