在佛罗里达州东北部进行土壤试验时,将Mehlich-III与Mehlich-I进行比较

Amanpreet Kaur Sandhu , Ayush Sharma , Navdeep Kaur , Lincoln Zotarelli , Kelly Morgan , Lakesh K. Sharma
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引用次数: 1

摘要

美国各地的土壤实验室已经广泛整合了从Mehlich-I (M-I)衍生而来的Mehlich-III (M-III)方法来提取土壤养分。然而,人们一直担心其准确性。佛罗里达大学黑斯廷斯农业和推广中心(HAEC)在2021年春季进行了土壤采样。本研究旨在严格比较M-I和M-III的提取效率,特别关注磷(P)、钾(K)、镁(Mg)、钙(Ca)、硼(B)、铜(Cu)、铁(Fe)、锰(Mn)和锌(Zn)等关键土壤养分。从46块精心挑选的田地中,使用两种方法分析了来自两个不同深度地层(0-15 cm和15-50 cm)的276个复合土壤样本。我们的研究结果突出了M-III优越的提取能力,其效率几乎是M-I的三倍。有趣的是,随着土壤养分浓度的增加,M-I和M-III提取效率之间的相关性减弱。M-I和M-III之间的决定系数(r2)具有高度相关值,并且在所有宏量和微量营养素中具有统计学意义(p<0.05)。我们发现,随着样本量的增加和相关系数的增加,M-I和M-III之间的相关性变得更加稳健。值得注意的是,M-III方法有提供略虚高的土壤养分估计值的倾向。由于世界各地的土壤实验室都使用由M-I导出的M-III方程,因此本研究建议土壤实验室重新研究并可能采用新的相关方程来使用M-III估算土壤养分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluate the use of Mehlich-III compared to Mehlich-I as a soil test in Northeast Florida

Soil laboratories throughout the United States have widely integrated the Mehlich-III (M-III), derived from Mehlich-I (M-I), methodologies to extract soil nutrients. However, there have been concerns regarding its precision. The University of Florida's Hastings Agricultural and Extension Center (HAEC) conducted a soil sampling during the spring of 2021. This research aimed to rigorously compare the extraction efficiencies of M-I and M-III, specifically focusing on critical soil nutrients like phosphorus (P), potassium (K), magnesium (Mg), calcium (Ca), boron (B), copper (Cu), iron (Fe), manganese (Mn), and zinc (Zn). From forty-six meticulously chosen fields, 276 composite soil samples derived from two distinct depth strata (0–15 ​cm and 15–50 ​cm) were analyzed using both methods. Our findings highlighted the superior extraction prowess of M-III, which showcased an efficiency almost threefold compared to M-I. Intriguingly, the correlation between M-I and M-III extraction efficiencies weakened with escalating soil nutrient concentrations. The coefficient of determination (r2) between M-I and M-III had a high correlation value and was statistically significant (p<0.05) for all macro- and micronutrients. We found that the correlation between M-I and M-III became more robust with an increase in sample size and a higher correlation coefficient. It is noteworthy to mention that the M-III method has the propensity to provide slightly inflated soil nutrient estimations. Since soil labs worldwide use M-III equations derived from M-I, this study proposes that soil labs reinvestigate and possibly adopt new correlation equations to estimate soil nutrients using M-III.

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