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Estimating nutrient uptake requirements for soybean using QUEFTS model in China.

Fuqiang Yang1, Xinpeng Xu1, Wei Wang2

  • 1Ministry of Agriculture Key Laboratory of Plant Nutrition and Fertilizer, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China.

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|May 13, 2017
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Summary

This study determined balanced nutrient requirements for soybean (Glycine max [L.] Merr) in China using the QUEFTS model. Findings provide optimal fertilizer recommendations to boost soybean yield and nutrient use efficiency.

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Area of Science:

  • Agricultural Science
  • Agronomy
  • Soil Science

Background:

  • Optimizing soybean (Glycine max [L.] Merr) nutrition is crucial for enhancing yield and nutrient use efficiency in China.
  • Accurate estimation of nutrient requirements is essential for developing effective fertilizer management strategies.

Purpose of the Study:

  • To estimate the balanced nutrient requirements (nitrogen, phosphorus, potassium) for soybean in China.
  • To assess the relationship between soybean seed yield and nutrient uptake.
  • To validate the Quantitative Evaluation of the Fertility of Tropical Soils (QUEFTS) model for soybean nutrient management.

Main Methods:

  • Collected field experiment data from major Chinese soybean-growing regions (2001-2015).
  • Applied the QUEFTS model to simulate nutrient uptake curves and requirements for target yields.
  • Analyzed nutrient removal in soybean seeds and above-ground parts.

Main Results:

  • The QUEFTS model predicted a linear-parabolic-plateau curve for balanced nutrient uptake up to 6.0 t ha⁻¹.
  • Producing 1000 kg of soybean seed requires 55.4 kg N, 7.9 kg P, and 20.1 kg K (N:P:K ratio of 7:1:2.5).
  • Internal efficiencies were 18.1 kg/kg N, 126.6 kg/kg P, and 49.8 kg/kg K; seed removal accounted for 87.1% N, 74.1% P, and 60.8% K.

Conclusions:

  • The study provides critical data for formulating precise fertilizer recommendations for soybean in China.
  • The QUEFTS model is a reliable tool for estimating soybean nutrient requirements and guiding fertilizer application.
  • Optimized nutrient management can improve soybean yield and resource use efficiency, minimizing deficiencies or excesses.