Using QUEFTS model for estimating nutrient requirements of maize in the Northeast China

Wenting Jiang, Xiaohu Liu, Wen Qi, Xiaonan Xu and Yucui Zhu
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Wenting Jiang: College of Land and Environment, Shenyang Agriculture University, Shenyang, Liaoning, P.R. China
Wen Qi: College of Land and Environment, Shenyang Agriculture University, Shenyang, Liaoning, P.R. China
Xiaonan Xu: College of Land and Environment, Shenyang Agriculture University, Shenyang, Liaoning, P.R. China
Yucui Zhu: College of Land and Environment, Shenyang Agriculture University, Shenyang, Liaoning, P.R. China

Plant, Soil and Environment, 2017, vol. 63, issue 11, 498-504

Abstract: Accurate estimating of the balanced nutrition for maize is necessary for optimizing fertilizer management to prevent nutrient supply surplus or deficiency. Data from 300 field experiments in the Northeast China conducted between 2006 and 2011 were gathered to study the characteristics of maize yield, and using the QUEFTS model to estimate the balanced nutrition at different yield potential. The average grain yield was 10 427 kg/ha, and average internal efficiencies were 54.3, 251.5 and 78.2 kg grain per kg plant nitrogen (N), phosphorus (P) and potassium (K), respectively. With the harvest index values < 0.40 as outliers were excluded, the model simulated a linear-parabolic-plateau curve for the balanced N, P and K uptake when the initial yield target increased to the yield potential levels of 10 000 to 14 000 kg/ha. When the yield target reached approximately 60-70% of the yield potential, 16.7 kg N, 3.8 kg P, and 11.4 kg K were required to produce 1000 kg grain. The corresponding internal efficiencies were 60.0, 265.7 and 88.0 kg grain per kg plant N, P and K, respectively. These results contributed to improving nutrient use efficiency, and to demonstrate that the QUEFTS model could be a promising approach for estimating the balanced nutrition.

Keywords: Zea mays L.; nutrient uptake; internal efficiency; fertilization; production (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlpse:v:63:y:2017:i:11:id:417-2017-pse

DOI: 10.17221/417/2017-PSE

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