Data on the Influence of soil fertility management technologies on phosphorus fractions, sorption characteristics, and use efficiency in Humic Nitisols of Upper Eastern Kenya
The datasets presented were collected from Chuka county on-station experiments in Kenya under maize (Zea Mays L.)-based systems conducted for eleven (11) consecutive cropping seasons. Data on phosphorus (P) fraction and sorption characteristics was collected at the end of the experiment (at the end of the 11th cropping season). The objective of the data collection was to determine how selected soil fertility management technologies influence fractions of P, its sorption characteristics and use efficiencies in Humic Nitisols. Different P fractions were sequentially determined based on the sequestration method. The P concentration in each extract was determined colorimetrically using a spectrophotometer at 882 nm wavelength. Phosphorus sorption characteristics were derived using the linearized Langmuir equation. Phosphorus partial productivity factor (PPF) and agronomic efficiency (PAE) were determined according to equations adopted by Arruda et al. (2019). Both PPF and PAE were determined during the last season of the experiments. Maize was harvested after reaching physiological maturity. The datasets were subjected to analysis of variance (ANOVA) in R software and significantly different means were separated using the Tukey HSD test at p<0.05.
The Swiss Agency for Development and Cooperation (SDC) and Swiss National Science Foundation (SNSF) in the Swiss Programme for Research on Global Issues for Development (r4d programme) and Research Institute of Organic Agriculture (FiBL), Switzerland