A New Fertilization Model Was Put Forward to Support the Sustainable Production of Rainfed Agriculture: Fully Consider the Total Available Nitrogen

39 Pages Posted: 16 Feb 2022

See all articles by Xiaorong Wu

Xiaorong Wu

affiliation not provided to SSRN

Junjie Li

affiliation not provided to SSRN

Zhimin Li

affiliation not provided to SSRN

Xuanke Xue

affiliation not provided to SSRN

Yingfei Zhao

affiliation not provided to SSRN

Xuemei Zhang

affiliation not provided to SSRN

Baoping Yang

affiliation not provided to SSRN

Zhikuan Jia

Northwest Agricultural and Forestry University

Xudong Zhang

affiliation not provided to SSRN

Qingfang Han

affiliation not provided to SSRN

Abstract

It is impossible to study elements independently because their availability to crops is interdependent. Nitrogen- and phosphorus-based fertilization decisions are currently a research hotspot. Combining the relationship between higher grain yield and lower environmental impact to achieve higher sustainable fertilization management is a challenge in current field production. To address this challenge, this study developed a critical nutrient curve based on various fertilization to improve spring maize's fertilization management. Evaluating the relationship between total available nitrogen (TAN, mineral nitrogen, mineralized soil nitrogen, and residual soil nitrate-nitrogen before sowing) and grain yield, nitrogen use efficiency (NUE), and nitrogen leaching, suggestions on fertilization were put forward. Five different fertilizer rates (N 0 , N 1 , N 2 , N 3 , and N 4 represent N: P 2 O 5 application at 0-0, 120-60, 175-88, 230-115, and 285-143 kg ha -1 , respectively) were set for spring maize field experiment. A critical N curve and a critical P curve of spring maize were determined as %Nc = 2.64 × DM -0.25 and % Pc = 0.23 × DM -0.32 , with a linear relationship (Pc=-0.0124+0.0954 × Nc, R 2 =0.93) between Pc and Nc. A linear-plateau model can describe the relationship between maize relative grain yield and integrated N nutrition index (NNIi), where the maximum relative grain yield corresponded to 1.00 NNIi. Maize grain yield, biomass yield, and plant N uptake were closely related to the increase of TAN. Based on a linear-plateau model, the superior TAN value (TANmin, the minimum TAN was correlated with maximum relative grain yield) was 311 kg ha -1 . With an increase of TAN or NNIi, plant N use efficiency (NutE BY ) decreased first and then stabilized, from 188.6 kg -1 in N 0 treatment to 88.3 kg kg -1 in N 4 treatment. However, nitrogen leaching increased with NNIi or TAN, and nitrogen leaching reached 96-170 kg ha -1 under N 4 treatment. Under the TANmin value, NutE BY and N leaching were 98 kg kg -1 and 99 kg ha -1 , respectively. Therefore, Nc and NNIi values can provide helpful information on improving fertilization management of rainfed spring maize systems. Total available nitrogen is a method of nitrogen supply. Finding the optimal total available nitrogen can maximize grain yield, reduce chemical nitrogen input and reduce nitrogen loss. This study provided a calculation method for evaluating soil nitrogen supply capacity and a theoretical basis for optimizing fertilization.

Keywords: Crop fertilization, Critical nutrient curve, Production, NUE, Nitrate leaching

Suggested Citation

Wu, Xiaorong and Li, Junjie and Li, Zhimin and Xue, Xuanke and Zhao, Yingfei and Zhang, Xuemei and Yang, Baoping and Jia, Zhikuan and Zhang, Xudong and Han, Qingfang, A New Fertilization Model Was Put Forward to Support the Sustainable Production of Rainfed Agriculture: Fully Consider the Total Available Nitrogen. Available at SSRN: https://ssrn.com/abstract=4020892 or http://dx.doi.org/10.2139/ssrn.4020892

Xiaorong Wu

affiliation not provided to SSRN ( email )

Junjie Li

affiliation not provided to SSRN ( email )

Zhimin Li

affiliation not provided to SSRN ( email )

Xuanke Xue

affiliation not provided to SSRN ( email )

Yingfei Zhao

affiliation not provided to SSRN ( email )

Xuemei Zhang

affiliation not provided to SSRN ( email )

Baoping Yang

affiliation not provided to SSRN ( email )

Zhikuan Jia

Northwest Agricultural and Forestry University ( email )

Xudong Zhang

affiliation not provided to SSRN ( email )

Qingfang Han (Contact Author)

affiliation not provided to SSRN ( email )

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