Science-based decision support for formulating crop fertilizer recommendations in sub-Saharan Africa

Jairos Rurinda; Shamie Zingore; Jibrin M Jibrin; Tesfaye Balemi; Kenneth Masuki; Jens A Andersson; Mirasol F Pampolino; Ibrahim Mohammed; James Mutegi; Alpha Y Kamara; Bernard Vanlauwe; Peter Q Craufurd

doi:10.1016/j.agsy.2020.102790

Science-based decision support for formulating crop fertilizer recommendations in sub-Saharan Africa

Agric Syst. 2020 Apr:180:102790. doi: 10.1016/j.agsy.2020.102790.

Authors

Affiliations

¹ International Plant Nutrition Institute (IPNI), c/o IFDC - East & Southern Africa Division, ICIPE Compound, Duduville - Kasarani, Thika Road, P. O. Box 30772-00100, Nairobi, Kenya.
² African Plant Nutrition Institute, Lot 666 Hay, Moulay Rachid, 43150, Benguerir, Morocco.
³ Centre for Dryland Agriculture (CDA), Bayero University Kano, 70001 Kano, Nigeria.
⁴ Ethiopian Institute of Agricultural Research, P.O.Box 2003, Addis Ababa, Ethiopia.
⁵ International Maize and Wheat Improvement Center (CIMMYT), Selian Agricultural Research Institute, CIAT Building, Off Dodoma Road, P. O. Box 2704, Arusha, Tanzania.
⁶ International Maize and Wheat Improvement Center (CIMMYT)- Southern Africa, c/o Knowledge, Technology and Innovation Group, Wageningen University, P.O. Box 8130, 6700, EW, Wageningen, the Netherlands.
⁷ International Plant Nutrition Institute, c/o Crop and Environmental Sciences Division, International Rice Research Institute (IRRI), DAPO Box 7777, Metro Manila 1301, Philippines.
⁸ International Institute of Tropical Agriculture, PMB 5320, Oyo Road, Ibadan 200001, Oyo State, Nigeria.
⁹ International Institute of Tropical Agriculture (IITA), c/o ICIPE Compound, P. O. Box 30772-00100, Nairobi, Kenya.
¹⁰ CIMMYT South Asia Regional Office, NARC Research Station, Khumaltar, Lalitpur, Kathmandu, Nepal.

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.

Keywords: Fertilizer recommendations; Maize intensification; Nutrient use efficiency; Smallholder farming systems; Soil fertility management; Yield response.