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Journal of Agriculture ›› 2025, Vol. 15 ›› Issue (3): 93-100.doi: 10.11923/j.issn.2095-4050.cjas2024-0082

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Simulation of Response of Spring Wheat Yield and Biomass to Increasing Nitrogen Fertilizer and CO2 Concentration in Dryland Under Different Sowing Dates

YANG Tingting(), LIU Qiang(), MA Xiaoyi   

  1. School of Information Science and Technology, Gansu Agricultural University, Lanzhou 730000
  • Received:2024-04-23 Revised:2024-10-22 Online:2025-03-20 Published:2025-03-18

Abstract:

This study explores the changes in nitrogen application rate and the effects of increased CO2 concentration on wheat yield and biomass in semi-arid areas under different sowing dates. This article used the adjusted APSIM model to set up three different sowing dates of early sowing ESW (March 3rd), normal sowing NSW (March 19th), and late sowing LSW (March 31st), five nitrogen application treatments of N1(0 kg/hm2), N2(52.5 kg/hm2), N3(105 kg/hm2), N4(157.5 kg/hm2), and N5 (210 kg/hm2), and five CO2 concentrations of C1 (370 ppm), C2 (420 ppm), C3 (470 ppm), C4 (520 ppm), and C5 (570 ppm) for simulation experiments. The results indicated that the APSIM model had good applicability in the experimental area; both nitrogen application rate and CO2 concentration had an impact on the yield and biomass of dryland spring wheat, and the effects varied under different sowing dates. As the sowing date was delayed, both nitrogen application rate and CO2 concentration had a positive effect on wheat yield and biomass, with nitrogen application rate having a much greater impact than CO2 concentration; under specific nitrogen application rates and CO2 concentrations, the choice of sowing date had a significant impact on yield and biomass. Higher yields were typically achieved during normal sowing periods, while late sowing was beneficial for biomass accumulation. When climate and soil conditions change, adjusting the sowing date can optimize wheat production. When the nitrogen application rate was N4 and the CO2 concentration was C1, the wheat yield was highest under normal sowing, and the wheat biomass was highest under late sowing. This study holds significant importance in guiding wheat production in semi-arid regions. In practical production, based on local climate and soil conditions, parameters such as sowing dates, nitrogen application rates, and CO2 concentrations can be adjusted to optimize wheat production and enhance both yield and biomass. Especially in the context of global climate change and the numerous challenges faced by agricultural production, this research provides robust support for the sustainable development of wheat production in semi-arid areas.

Key words: wheat, APSIM model, sowing date, nitrogen application rate, CO2 concentration, yield, biomass, semi-arid region