Comparative analysis and prediction of cation exchange capacity via summation: influence of biochar type and nutrient ratios

IF 2.1 Q3 SOIL SCIENCE Frontiers in soil science Pub Date : 2024-03-27 DOI:10.3389/fsoil.2024.1371777
J. Antonangelo, Steven Culman, Hailin Zhang
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Abstract

Enhancing soil cation exchange capacity (CEC) is of paramount importance for sustainable agriculture and ecosystem health. This study investigated the pivotal role of biochar in altering soil CEC and challenges conventional assumptions about universal effects of biochar application.Contrasting biochar types, one with a low ash content of 4.4% (switchgrass-derived biochar, SGB) and the other with a high ash content of 45.9% (poultry litter-derived biochar, PLB) were used. Two experiments treated with increasing biochar application rates were conducted: one without plants and the other grown with ryegrass. Effective CEC (summation method) was determined by two extraction methods: Mehlich-3 (M3) and ammonium acetate (AA).The SGB decreased CEC by 27% on average (from both experiments) from the lowest to the highest rate of biochar application, while the PLB significantly increased CEC by 91%. This highlights the critical role of biochar properties in influencing CEC dynamics. In the second experiment, ryegrass cultivation revealed the greater importance of the calcium and magnesium/potassium ratio ([Ca+Mg]/K) in the soil CEC than CEC only for plant growth in biochar-amended soils. The ratios for optimum ryegrass production ranged from 82‒86 (M3) and 69‒74 (AA), which was translated to 88:11:1 Ca:Mg:K percent base saturation ratios. Moreover, predictive models for estimation of soil CEC after biochar application were successfully developed based on initial soil and biochar CEC. However, M3 was more reliable than AA for such predictions mainly because it was more successful in predicting nutrient availability from biochar. These models offer a promising tool for informed soil management decisions.This research emphasizes the importance of biochar feedstock, elucidates nutrient ratio effects on plant growth, and provides a practical means to anticipate soil CEC changes post-biochar application.
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通过求和法比较分析和预测阳离子交换容量:生物炭类型和养分比例的影响
提高土壤阳离子交换容量(CEC)对可持续农业和生态系统健康至关重要。本研究调查了生物炭在改变土壤阳离子交换容量方面的关键作用,并对有关生物炭应用普遍效果的传统假设提出了质疑。本研究使用了两种不同类型的生物炭,一种是灰分含量低至 4.4%(开关草衍生生物炭,SGB),另一种是灰分含量高至 45.9%(家禽粪便衍生生物炭,PLB)。进行了两次生物炭施用量增加的实验:一次没有植物,另一次种植了黑麦草。有效 CEC(求和法)通过两种提取方法确定:从生物炭的最低施用量到最高施用量,SGB 平均降低了 27% 的 CEC(两个实验均如此),而 PLB 则显著提高了 91% 的 CEC。这凸显了生物炭特性对 CEC 动态影响的关键作用。在第二项实验中,黑麦草的种植揭示了钙镁/钾比例([Ca+Mg]/K)在土壤 CEC 中的重要性,而不仅仅是 CEC 对生物炭改良土壤中植物生长的影响。黑麦草最佳产量的比率范围为 82-86(M3)和 69-74(AA),即 88:11:1 的钙镁钾基础饱和度百分比。此外,根据初始土壤和生物炭的 CEC,成功建立了估算施用生物炭后土壤 CEC 的预测模型。不过,在此类预测中,M3 比 AA 更可靠,主要是因为它在预测生物炭的养分可用性方面更成功。这项研究强调了生物炭原料的重要性,阐明了养分比例对植物生长的影响,并为预测施用生物炭后土壤的 CEC 变化提供了一种实用方法。
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