Arid Zone Research ›› 2022, Vol. 39 ›› Issue (6): 1966-1975.doi: 10.13866/j.azr.2022.06.26

• Agricultural Ecology • Previous Articles     Next Articles

Simulation and analysis of the effects of precipitation and nitrogen application on the yield and biomass of spring wheat in dryland under elevated temperature

ZHANG Kang1(),NIE Zhigang1,2(),WANG Jun1,LI Guang3   

  1. 1. College of Information Science and Technology, Gansu Agricultural University, Lanzhou 730070, Gansu, China
    2. College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, Gansu, China
    3. College of Forestry, Gansu Agricultural University, Lanzhou 730070, Gansu, China
  • Received:2022-03-21 Revised:2022-09-16 Online:2022-11-15 Published:2023-01-17
  • Contact: Zhigang NIE E-mail:2942138300@qq.com;niezg@gsau.edu.cn

Abstract:

To explore the effects of temperature increase, water decrease, and nitrogen application on spring wheat yield and biomass in semi-arid areas. Based on the meteorological data from 1971 to 2018 in the Anding District, Dingxi City, and the field test data from 2014 to 2018 in the Anjiagou Village, Fengxiang Town, Anding District, Dingxi City, and Gansu Province, this study conducted five temperature gradient (0 ℃,0.5 ℃,1 ℃,1.5 ℃,2 ℃), five precipitation gradient (?20%, ?10%, 0%, 10%, and 20%), and four nitrogen treatments (0 kg?hm?2, 55 kg?hm?2, 110 kg?hm?2, and 220 kg?hm?2) to analyze the yield and biomass of spring wheat in dryland using regression equation, single factor analysis, and interaction analysis. The wheat yield was analyzed using the relationship between temperature increase and nitrogen application. The results show that: (1) The normalized root mean square error (NRMSE) of wheat yield and biomass simulated by the model was 7.47% and 7.66%, respectively, and the model validity index was 0.91 and 0.85, respectively. The NRMSE of wheat yield and biomass simulated by the model was 1.73%, and the model validity index was 0.98. The results showed that the model could well reflect the effects of temperature, precipitation, and nitrogen application on spring wheat yield and biomass. (2) When the temperature increased, spring wheat yield and biomass showed a parabolic negative effect. Spring wheat yield and biomass presented a downward parabola with a threshold of 122.11 kg?hm?2 and 129.06 kg?hm?2, respectively, and the optimal yield and biomass values were 2574.86 kg?hm?2 and 5777.39 kg?hm?2, respectively. The increased precipitation has a positive opening parabolic effect on spring wheat yield and biomass. (3) The interaction between the temperature and the nitrogen application rate was negative. The interaction between temperature and precipitation was negative. The interaction between the nitrogen application rate and precipitation was positive. (4) When the yield was optimal at 0 ℃,0.5 ℃,1 ℃,1.5 ℃ and 2 ℃, precipitation should be increased by 20%, and nitrogen application should be 156.2 kg?hm?2, 149.6 kg?hm?2, 131.56 kg?hm?2, 110.0 kg?hm?2, and 107.8 kg?hm?2, respectively. (5) The effect order of temperature, nitrogen application, and precipitation on yield is precipitation > nitrogen application > temperature. Reasonable coordination of water and nitrogen can mitigate the negative effect of temperature increase on yield.

Key words: APSIM, wheat, temperature, precipitation, nitrogen application, biomass, yield