2012
DOI: 10.2134/agronj2011.0181
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Maize Response to Fertilizer and Nitrogen Use Efficiency in Uganda

Abstract: Maize (Zea mays L.) is an important smallholder crop in Uganda. Yields are low because of low soil fertility and little fertilizer use. Yield response to nutrient application and economically optimal rates (EOxR, where x = N, P, or K) and N use efficiency (NUE) were evaluated. Twenty‐two trials were conducted in four agroecological zones. Yield was consistently increased with N application. Mean maize yield with no N applied (N0) was 1.79 Mg ha−1 and increased by 120% with N application. Mean EONRs were 45 to … Show more

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Cited by 85 publications
(61 citation statements)
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“…The mean UN with N 0 was 31.3 kg ha −1 compared with 46.3 kg ha −1 for maize under similar conditions (Kaizzi et al, 2012) (Table 5). Sorghum UN with N 0 is an estimate of the indigenous soil N supply and ranged from 13.4 to 54.1 kg ha −1 .…”
Section: Resultsmentioning
confidence: 91%
See 1 more Smart Citation
“…The mean UN with N 0 was 31.3 kg ha −1 compared with 46.3 kg ha −1 for maize under similar conditions (Kaizzi et al, 2012) (Table 5). Sorghum UN with N 0 is an estimate of the indigenous soil N supply and ranged from 13.4 to 54.1 kg ha −1 .…”
Section: Resultsmentioning
confidence: 91%
“…2). The mean EONR was less for sorghum than for maize ( Zea mays L.) produced under similar conditions (Kaizzi et al, 2012). Returns to applied N were more sensitive to the N rate as the CP increased.…”
Section: Resultsmentioning
confidence: 99%
“…The various assessments of NUEs are affected by the complex interaction of environment, management practices, and crop genotype (Ciampitti & Vyn, 2011) and are important to environmental sustainability and profitability. Low N application often results in poor yield, whereas excessive N application often reduces NUEs (Abbasi et al., 2012; Ciampitti & Vyn, 2011; Kaizzi et al., 2012). Both the suboptimal and supra‐optimal plant densities result in reduced yield and NUE (Yan et al., 2015).…”
Section: Discussionmentioning
confidence: 99%
“…The calibration was carried out on the variety to improve model outputs by adjusting these coefficients to obtain a low RMSE and a high d-statistic. The model was validated using another maize dataset from Kaizzi et al (2012) conducted in Hoima district, Western Uganda.…”
Section: Model Calibration Using Seasonal Maize Yield Datamentioning
confidence: 99%