4.5 Article

Economically Optimal Rate for Nutrient Application to Maize in the Semi-deciduous Forest Zone of Ghana

Journal

JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION
Volume 20, Issue 4, Pages 1703-1713

Publisher

SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/s42729-020-00240-y

Keywords

Fertilizer response; Optimization; Asymptotic function; Net return to fertilizer; Nutrient use efficiency; Cost to grain price ratio

Funding

  1. Kwame Nkrumah University of Science and Technology (KNUST)
  2. Bill and Melinda Gates Foundation (USA) [2009 SHP 028]

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Low inherent nitrogen (N), phosphorus (P), and potassium (K) contents of smallholder farms limit maize grain yield. Maize grain yield response to N, P, and K mineral fertilizer application and economically optimal rates for nitrogen (EORN), phosphorus (EORP), and potassium (EORK) were evaluated on a Ferric Acrisol within the semi-deciduous forest zone of Ghana. The nutrient rates evaluated were N (0, 30, 60, 90, and 120 kg N ha(-1)), P (0, 30, 60, and 90 kg ha(-1) P2O5), and K (0, 30, 60 and 90 kg ha(-1) K2O). The treatments were arranged in a randomized complete block with three replications using an incomplete factorial design. Nutrient responses were determined using asymptotic quadratic-plus plateau functions. The best nitrogen rate for all P and K levels was 60 kg ha(-1), which gave grain yield of 5 t ha(-1). Nitrogen uptake, N agronomic and N recovery efficiencies peaked at 60 kg N ha(-1) while N partial factor productivity declined with increasing N application rate. Cost to grain price ratios (CP) were 1.29, 1.65, and 1.65 for N, P, and K, respectively. The EORN was 61 kg ha(-1), 32% less than the recommended 90 kg N ha(-1) for maize production in the semi-deciduous forest zone of Ghana. Nitrogen application had the lowest CP ratio, making its application economically profitable than P and K. The findings suggest that the application of N at 61 kg N ha(-1) to maize is economically profitable than at higher application rates. However, further studies should be conducted on farmers' fields to validate the results obtained.

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