测试Soil Testing Kit®Transchem的准确性

S. Idris, A. Rilwan, S. A. Abubakar, M. Adamu, Y. Sadiq, F. Abubakar
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摘要

土壤测试是土壤肥力管理的关键,因为它为农民、科学家和顾问提供了施肥指南。它提供了有关土壤养分状况及其供应能力的信息。实验室(LB)方法一直是土壤养分分析最可靠的方法。然而,它是昂贵的和非点。因此,原位测试工具的使用出现并变得突出。尽管如此,土壤测试工具的适用性必须通过实验室测试来验证。本工作旨在检验土壤测试试剂盒®Transchem (SK)在确定尼日利亚萨赫勒大草原选定土壤养分方面的可靠性/适用性。在尼日利亚Kebbi州的12°47 ' 86 " -12°20 ' 96 " N和4°38 ' 37 " -4°188 ' 02 " E地区收集了25个重复土壤样本,并通过SK和LB测试了土壤pH、N、P、K和土壤有机碳(SOC)。SK使用颜色图和比较器将营养状况定性地分为;p为低、中、高和极高,将土壤分级标准值对应为低、中、高,将LB结果转化为定性数据。为了进行统计,通过对每个类别分配权重负载来进行加权;低= 1,中= 2,高= 3。采用t检验、回归分析和描述性分析对两种方法进行比较。结果表明,两种方法对土壤氮、磷、钾含量的估算差异不显著,但SK法对土壤pH和有机碳的估算较差。相关性和回归系数分别为r = 0.915和R2 = 0.838,表明SK可以可靠地用于尼日利亚萨赫勒草原土壤N、P、K的估算,但不能用于土壤pH和有机碳的估算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Testing the accuracy of Soil Testing Kit® Transchem
Soil testing is key to soil fertility management as it serves as a fertilizer application guide to farmers, scientists and consultants. It gives information on soil nutrient status and its supplying capacity. Laboratory (LB) procedures have been the most reliable approach for soil nutrients analyses. However, it is costly and nonpoint. Thus, the use of in–situ testing kit emerges and becomes prominent. Notwithstanding, applicability of soil testing kit must be validated by laboratory test. This work aimed to examine the reliability/suitability of Soil Testing Kit® Transchem (SK) in determining selected soil nutrients in Sahel Savannah, Nigeria. Twentyfive replicate soil samples were collected from 12°47’86’’-12°20’96’’N and 4°38’37’’-4°188’02’’E, Kebbi State Nigeria and used to test soil pH, N, P, K and soil organic carbon (SOC) by SK and LB. The SK uses colour chart and comparator for rating nutrients status qualitatively into; low, medium and high and up to very high for P. The LB results were transformed to qualitative data by corresponding the values with soil rating standardinto low, medium and high. To perform statistics, weighting was done by assigning weight load to each category; low = 1, medium = 2 and high = 3. The two methods were compared using t-test, regression and descriptive analyses. Results showed non-significant difference between the two methods for soil contents of N, P and K. However, SK poorly estimated soil pH and SOC. Correlation and regression coefficients (r = 0.915 and R2 = 0.838, respectively) indicated reliability of the SK. It is concluded that SK can be reliably used for N, P, and K but not soil pH and SOC estimation for soils in Sahel savannah of Nigeria.
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