Experimental analysis improved grain yield and nutrient uptake in wheat, suggesting optimal N and P rates.
Ethiopia is intensifying efforts to boost wheat production with effective nitrogen (N) and phosphorus (P) management. However, low soil fertility and the lack of recommendations on optimal N and P application rates remain major constraints limiting wheat production. The effects of different N and P nutrient rates on the yield of bread wheat were evaluated on Vertisols of Moretina Jiru District, North Shewa Zone, Amhara Region, Ethiopia. The study was conducted using a factorial arrangement of treatments in Randomized Complete Block Design (RCBD) with three replications. The treatments were five N rates (69, 115, 161, 207, and 253 kg ha−1), three phosphorus rates in the form of P2O5 (46, 69, and 92 kg ha−1), and one control (0N–0P2O5) treatment. Data on growth, yield parameters, and soil properties were collected and analyzed using R statistical software. The results showed that wheat grain yield was highly significantly affected by N rates (p < 0.001) and significantly (p < 0.05) by P rates, with the highest grain yield being five times greater than the control. Applying N or P alone significantly increased wheat grain yield, but their interaction did not affect the grain yield. The highest grain yield (4891 kg ha−1) was achieved with 253 kg N ha−1, resulting in a 101% increase over the control. This N rate also significantly improved straw yield, nutrient uptake, and protein content compared to other N rates. The optimum P2O5 rate was 69 kg P2O5 ha−1 which resulted in the highest grain (3869 kg ha−1) and straw yields (5210 kg ha−1). Moreover, the economic analysis revealed that the combined application of 253 kg N ha−1 and 69 kg P2O5 ha−1 resulted in the highest benefit–cost ratio (3.60), indicating a profitable investment for farmers by maximizing returns relative to input costs. Therefore, combined application of 253 kg N ha−1 and 69 kg P2O5 ha−1 was the optimum rate and recommended for wheat production on Vertisols of Moretina Jiru district and similar agroecologies and moisture domains until further N rate is determined based on multilocation studies.
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Gete et al. (2025) studied this question.
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