This study aimed to determine the maximum phosphorus adsorption capacity (MPAC) in seven distinct soil classes from the Brazilian Cerrado and to evaluate possible interactions with soil chemical and physical properties by principal component analysis (PCA). The sampled were collected from the depth ranges of 0.0 to 0.20 and 0.20 to 0.40 m and then analysed. First, remaining phosphorus (Prem) content was determined. Then, P doses to be added to solutions were estimated. Finally, MPAC was evaluated using the Langmuir equation. The MPAC varied considerably among seven distinct soil classes (from 72 to 928 mg kg⁻¹ de P at two depth ranges 0.0–0.20 and 0.20–0.40 m). The variation was significantly correlated with the clay, silt, organic matter, iron available and binding energy. The use of only clay content for phosphorus interpretation and recommendation in soils may lead to errors in the soil fertility management, especially in Cerrado soils, as a function of the complexity of the interactions involved in the process. Principal component analysis can be a useful tool for understanding the dynamics of the soil MPAC, as it is sensitive in discriminating the studied soils.

这项研究旨在确定巴西Cerrado的七个不同土壤类别中的最大磷吸附量（MPAC），并通过主成分分析（PCA）评估其与土壤化学和物理性质的可能相互作用。从0.0到0.20和0.20到0.40 m的深度范围收集样本，然后进行分析。首先，确定剩余的磷（Prem）含量。然后，估计要添加到溶液中的P剂量。最后，使用Langmuir方程评估了MPAC。在七个不同的土壤类别中，MPAC的差异很大（从72到928 mg kg ^-1de P在两个深度范围0.0–0.20和0.20–0.40 m处）。该变化与粘土，粉砂，有机物，可用铁和结合能显着相关。仅使用粘土含量来解释和推荐土壤中的磷，可能会导致土壤肥力管理方面的错误，尤其是在塞拉多土壤中，这取决于过程中相互作用的复杂性。主成分分析可能是了解土壤MPAC动态的有用工具，因为它在区分研究土壤方面非常敏感。