Estimation of Nitrogen Supply for Summer Maize Production through a Long-Term Field Trial in China

Author:

Huang Shaohui,Yang Wenfang,Ding Wencheng,Jia Liangliang,Jiang Lingling,Liu Yingxia,Xu XinpengORCID,Yang Yunma,He PingORCID,Yang Junfang

Abstract

Supplying adequate nitrogen (N) to meet crop demand is critical for enhancing agricultural sustainability. Not only fertilizer N, but also N from other available sources should be considered in N supply capacity. We conducted a 10-year farming experiment using a split-plot design with two different main fertilizer management approaches and three N application strategies as add-on sub-treatments. Based on the experiment, we estimated the total N supply (TNsupply) for the summer maize cropping system, through considering environmental, soil, crop residue, and fertilizer N sources. An appropriate TNsupply was established by correlating TNsupply with the relative yield (RY), N input and output, and N use efficiency (NUE). The results revealed a wide variation in TNsupply (from 88 to 755 kg ha−1). The RY, N input, and N output fitted well to TNsupply using linear-plateau, linear, and linear-plateau models, respectively. The lower limits of TNsupply for achieving the maximum RY and N output were 361 and 358 kg ha−1, respectively. The relationship between N input and N output was described as linear-plateau. We determined the slope of the linear curve (55.4%) as the lower limit of NUE, beyond which the upper limit of TNsupply was determined to be less than 497 kg ha−1. Thus, appropriate TNsupply values ranged from 325 to 497 kg ha−1 for summer maize production, which could ensure enough N supply for higher yields and avoid excessive N input for higher NUE and lower environmental N loss. Our findings highlight that TNsupply can be an alternative indicator for evaluating N management.

Funder

National Key Research and Development Program of China

Scientific Research Project of Hebei Academy of Agriculture and Forestry Sciences

Publisher

MDPI AG

Subject

Agronomy and Crop Science

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