Abstract

In sub-Saharan Africa, there is considerable spatial and temporal variability in relations between nutrient application and crop yield, due to varying inherent soil nutrients supply, soil moisture, crop management and germplasm. This variability affects fertilizer use efficiency and crop productivity. Therefore, development of decision systems that support formulation and delivery of site-specific fertilizer recommendations is important for increased crop yield and environmental protection. Nutrient Expert (NE) is a computer-based decision support system, which enables extension advisers to generate field- or area-specific fertilizer recommendations based on yield response to fertilizer and nutrient use efficiency. We calibrated NE for major maize agroecological zones in Nigeria, Ethiopia and Tanzania, with data generated from 735 on-farm nutrient omission trials conducted between 2015 and 2017. Between 2016 and 2018, 368 NE performance trials were conducted across the three countries in which recommendations generated with NE were evaluated relative to soil-test based recommendations, the current blanket fertilizer recommendations and a control with no fertilizer applied. Although maize yield response to fertilizer differed with geographic location; on average, maize yield response to nitrogen (N), phosphorus (P) and potassium (K) were respectively 2.4, 1.6 and 0.2 t ha−1 in Nigeria, 2.3, 0.9 and 0.2 t ha−1 in Ethiopia, and 1.5, 0.8 and 0.2 t ha−1 in Tanzania. Secondary and micronutrients increased maize yield only in specific areas in each country. Agronomic use efficiencies of N were 18, 22 and 13 kg grain kg−1 N, on average, in Nigeria, Ethiopia and Tanzania, respectively. In Nigeria, NE recommended lower amounts of P by 9 and 11 kg ha−1 and K by 24 and 38 kg ha−1 than soil-test based and regional fertilizer recommendations, respectively. Yet maize yield (4 t ha−1) was similar among the three methods. Agronomic use efficiencies of P and K (300 and 250 kg kg−1, respectively) were higher with NE than with the blanket recommendation (150 and 70 kg kg−1). In Ethiopia, NE and soil-test based respectively recommended lower amounts of P by 8 and 19 kg ha−1 than the blanket recommendations, but maize yield (6 t ha−1) was similar among the three methods. Overall, fertilizer recommendations generated with NE maintained high maize yield, but at a lower fertilizer input cost than conventional methods. NE was effective as a simple and cost-effective decision support tool for fine-tuning fertilizer recommendations to farm-specific conditions and offers an alternative to soil testing, which is hardly available to most smallholder farmers.

Highlights

  • The formulation of fertilizer recommendations tailored to specific crops, climate and soil fertility conditions, as well as farmers' socioeconomic status can increase productivity, and reduce climate-related production risks and undesirable impacts of fertilizer on the environment

  • In Nigeria, the maize grain yields realized from OPV and hybrid varieties were similar for each nutrient application category, implying that similar nutrient management and fertilizer recommendations can be used for both maize varieties

  • Results from the nutrient omission trials conducted in this study demonstrated that maize yield responses to soil and fertilizer nutrients and maize yield vary with location and season

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Summary

Introduction

The formulation of fertilizer recommendations tailored to specific crops, climate and soil fertility conditions, as well as farmers' socioeconomic status can increase productivity, and reduce climate-related production risks and undesirable impacts of fertilizer on the environment. The irony is that agricultural advisory services in SSA have been promoting blanket fertilizer recommendations in which a single fertilizer rate is used for large but heterogeneous areas This leads to unbalanced application of fertilizer nutrients relative to the needs of a crop, and low use efficiency of fertilizer. Given that there is increasing number of fertilizer companies that produce more site- and crop-specific fertilizer types in SSA, these decision support systems can leverage efforts from fertilizer companies to support better access for farmers to knowledge of their soils and crops to adapt fertilizer and integrate technologies to optimize yield

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