Clustering of the chemical properties of small‐scale farm soils to develop fertilizer blend ratios

Author:

Mugo James N.12ORCID,Karanja Nancy N.2,Gachene Charles K.2,Dittert Klaus3,Schulte‐Geldermann Elmar14

Affiliation:

1. The CGIAR Research Program on Roots, Tubers and Bananas (RTB), International Potato Center, Sub‐Saharan African Regional Office Nairobi Kenya

2. Department of Land Resource Management and Agricultural Technology University of Nairobi Nairobi Kenya

3. Department of Crop Sciences, Plant Nutrition and Yield Physiology University of Gottingen Göttingen Germany

4. School of Life Sciences University of Applied Sciences Bingen (TH Bingen) Bingen Germany

Abstract

AbstractCrop management through site‐specific fertility methods is crucial for both economic and environmental benefits. Potato‐specific fertilizer has not been fully established in Kenya, and the current fertilizer recommendation has been in place for a long time. A study was designed through soil sampling from small‐scale farms to make a soil‐based fertilizer recommendation for potato production. Inverse distance weighting interpolation was used to study spatial distribution of pH and major nutrients. Cluster analysis was used to group sampled farms into similar fertility clusters for easier fertilizer recommendations. Spatial distribution maps were identified for the project area. Three and four clusters were established in Meru and Nyandarua counties, respectively, among which three had adequate nutrients for potato production. At least 150 kg N ha−1 is recommended in most of the farms and 160 kg P ha−1 in Nyandarua, while 285 kg K ha−1 was recommended in one of the clusters (nitrogen, phosporus, potassium [NPK] 1:1:1.5). Cluster analysis can be used to enhance fertilizer recommendations. The assumption that K is adequate in tropical soil should not be generalized. Fertilizers in the market with formulations close to the recommended ones should be evaluated for field performances and adjustment of the final potato fertilizer.

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3