An analysis of in-field soil testing and mapping for improving fertilizer decision-making in vegetable production in Kenya and Ghana
An analysis of in-field soil testing and mapping for improving fertilizer decision-making in vegetable production in Kenya and Ghana
复制标题
为改善肯尼亚和加纳蔬菜生产肥料决策而进行的田间土壤测试和绘图分析
DOI：
10.1111/sum.12687
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发表时间：
2020
影响因子：
3.8
通讯作者：
Mallory A
中科院分区：
文献类型：
--
作者：
Mallory A
田间土壤测试和土壤测绘有助于解决撒哈拉以南非洲地区土壤肥力低下和化肥施用有限的挑战。半定量比色法，如试纸，经常用于发展中国家，特别是东南亚的土壤养分评估。这项研究调查了营养敏感纸条和智能手机的准确性，这些纸条和智能手机被重新用作反射计，以评估土壤硝态氮，以及绘制土壤肥力的不同方法，以确定适合人类废物衍生肥料（HWDF）应用的土地面积。该研究需要测试肯尼亚和加纳42个不同农场的土壤样本，并将其与国内实验室结果进行比较。结果发现，纸条能够评估土壤中存在的有效硝态氮浓度±20 kg ha− 1的标准方法为86%的农场。试纸条在加纳的效果较差，因为它们是按照当地实验室不使用的方法校准的。纸条对HWDF样品无效，其中化学干扰和不同形式硝酸盐的浓度过高，导致读数高估，从而对任何相关的营养管理建议产生负面影响。土壤测绘有可能通过移动的技术使用开源数据为农民提供信息。对于土壤测绘，采用了两种方法，包括针对有机质缺乏地区和利益攸关方主导的测绘，后者在确定HWDF应用领域方面更有效。
In‐field soil testing and soil mapping can contribute to addressing the challenge of poor soil fertility and limited fertilizer application across sub‐Saharan Africa. Semi‐quantitative colorimetric methods, such as paper test strips, are frequently employed in soil nutrient assessment across developing countries, especially in South‐East Asia. This research investigated the accuracy of nutrient‐sensitive paper strips and smartphone, which was re‐purposed to act as a reflectometer, to assess soil nitrate‐N, and different methods for mapping soil fertility to identify areas of land that are suitable for human waste‐derived fertilizers (HWDF) application. The study entailed testing soil samples across 42 different farms in Kenya and Ghana and compared it to laboratory results in‐country. It was found that paper strips were capable of assessing available nitrate‐N concentration present in the soil within ±20 kg ha−1of the standard method for 86% of the farms. Paper strips were less effective in Ghana as they had been calibrated for a method that was not used by local laboratories. Paper strips were not effective for HWDF samples, where chemical interferences and concentration of different forms of nitrates were too high, resulting in overestimation of readings and thus negatively affecting any associated nutrient management advice. Soil mapping has the potential to use open‐source data to inform farmers through mobile technology. For soil mapping two methods were deployed which includes targeting organic matter deficient areas and stakeholder led mapping, with the latter shown to be more effective in identifying areas for HWDF application.