2019
DOI: 10.1007/s10705-019-10016-1
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Nitrogen fertilizer rate increases plant uptake and soil availability of essential nutrients in continuous maize production in Kenya and Zimbabwe

Abstract: Low fertilizer application rates for several decades have depleted soil nutrients in Sub-Saharan Africa (SSA) and contributed to relatively stagnant maize (Zea mays L.) yields. As maize is a staple crop, nutrient depletion has resulted in major food insecurity. While one potential solution is to apply more nitrogen (N) fertilizer, previous studies in SSA have found maize yield responses to be variable, likely because N is often not the only limiting nutrient. This study aimed to determine the impact of consecu… Show more

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Cited by 69 publications
(57 citation statements)
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“…As was the case with grain yield, plant N content did not plateau within the applied N rate range in Kiboko. Plant N content did not differ consistently among hybrids from season to season at any site (Pasley 2018).…”
Section: Grain Yield and Plant Nitrogen Dynamicsmentioning
confidence: 86%
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“…As was the case with grain yield, plant N content did not plateau within the applied N rate range in Kiboko. Plant N content did not differ consistently among hybrids from season to season at any site (Pasley 2018).…”
Section: Grain Yield and Plant Nitrogen Dynamicsmentioning
confidence: 86%
“…The data reported in this paper are averaged over all hybrids, but detailed hybrid data is reported in Pasley (2018). Unless otherwise noted, there were no significant interactions between hybrid, N rate, and/or depth effects for any of the plant-soil N dynamics reported in this paper.…”
Section: Grain Yield and Plant Nitrogen Dynamicsmentioning
confidence: 92%
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“…Under imbalanced supply of nutrients, plants take up more of the omitted nutrients (Pasley et al, 2019) due to improved soil exploration by more developed root systems and/or root functioning. This plantsoil interaction is not modelled, we used input values for indigenous nutrient supply and fertilizer recovery derived from experimental measurements (Table 5.2) as parameter in the LINTUL-Cassava-NPK model.…”
Section: The Nutrient Equivalents Modelling Approachmentioning
confidence: 99%