Blending of slow-release N fertilizer and urea improve rainfed maize yield, nitrogen use efficiency while reducing apparent N loss

Author:

Guo Jinjin,Yang Hanran1ORCID,Yuan Yong,Yin Pengzhou,Zhang Nv,Lin Zhizhao,Ma Qichang,Yang Qiliang,Liu Xiaogang,Wang Haidong,Zhang Fucang

Affiliation:

1. Kunming University of Science and Technology

Abstract

Abstract

Background and Aims Effective nitrogen (N) management practices are essential for achieving efficient and sustainable agricultural production. The purpose of this study was to improve N use efficiency (NUE) and minimize N loss by optimizing the rate and type of N fertilizer application, while maintaining high yield of maize. Methods A two-year field experiment with U (urea), S (slow-release N fertilizer), and SU (Blending of S and U) under four N application levels (N1: 90 kg ha-1, N2: 120 kg ha-1, N3: 180 kg ha-1, N4: 240 kg ha-1) was conducted to investigate their effects on ammonia (NH3) volatilization, residual soil nitrate N (NO3-N), yield, NUE, apparent N loss of rainfed maize. Results NH3 volatilization in SU and S were 38.46% and 16.57% lower than that in U, respectively. SU and S were found to reduce the apparent N loss by 42.98% and 62.23%. SU decreased NO3-N leaching in deep soil, and increased NO3-N content in topsoil. Compared with U and S, SU significantly increased yield, plant N accumulation and NUE. SUN4 achieved the maximum maize yield and plant N accumulation, averaging 7968.36 kg ha-1 and 166.45 kg ha-1. In addition, mixing ratio of U and S was 53%-58%, which was the best ratio for high yield and NUE. Meanwhile, N fertilization with 150-220 kg ha-1 can keep high yield and NUE. Conclusion The findings highlight SU effectively reduced N application rate and was an optimized N fertilization strategy for high yield and N efficient utilization of rainfed maize.

Publisher

Springer Science and Business Media LLC

Reference63 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3