Literature DB >> 35807642

Effect of Irrigation and Fertilizer Management on Rice Yield and Nitrogen Loss: A Meta-Analysis.

Haonan Qiu1, Shihong Yang1,2, Zewei Jiang1, Yi Xu1, Xiyun Jiao1,2.   

Abstract

Irrigation and nitrogen fertilizer application are two important factors affecting yield and nitrogen loss in rice fields; however, the interaction effects of different irrigation schedules and combined management of nitrogen fertilizer application on yield and nitrogen loss in rice fields remain unknown. Therefore, we collected 327 sets of data on rice yield and 437 sets of data on nitrogen loss in rice fields from 2000 to 2021 and investigated the effects of different water-saving irrigation schedules, nitrogen application levels, and water-nitrogen couplings on rice yield, nitrogen use efficiency, and nitrogen loss (N2O emissions, nitrogen runoff, nitrogen leaching, and ammonia volatilization) by meta-analysis using conventional flooding irrigation and no nitrogen treatment as controls. The results showed that alternate wet and dry irrigation and controlled irrigation had increasing effects on rice yield. Alternate wet and dry irrigation had a significant yield-increasing effect (average 2.57% increase) and dry cultivation significantly reduced rice yield with an average 21.25% yield reduction. Water-saving irrigation reduces nitrogen runoff and leaching losses from rice fields but increases N2O emissions, and alternate wet and dry irrigation has a significant effect on increasing N2O emissions, with an average increase of 67.77%. Most water-saving irrigation can increase nitrogen use efficiency. Among water-saving irrigation methods, the effect of controlled irrigation on increasing nitrogen use efficiency is 1.06%. Rice yield and nitrogen use efficiency both showed a trend of increasing then decreasing with nitrogen fertilizer application, and nitrogen loss gradually increased with the amount of nitrogen fertilizer input. Water-nitrogen coupling management can significantly reduce nitrogen loss in rice fields while saving water and increasing yield. Based on the analysis of the data in this study, when the irrigation amount was 300~350 mm and the nitrogen application amount was 200~250 kg/ha, the rice yield and nitrogen fertilizer use efficiency were at a high level, which corresponded to the irrigation schedule of controlled irrigation or alternating wet and dry irrigation in the literature. However, different rice-growing areas are affected by rainfall and land capability, etc. Further optimization and correction of the adapted water and fertilizer management system for paddy fields are needed. The optimal water-nitrogen pattern of this study can achieve high rice yield and reduce nitrogen loss.

Entities:  

Keywords:  irrigation schedule; nitrogen application; nitrogen loss; water–nitrogen coupling; yield

Year:  2022        PMID: 35807642      PMCID: PMC9268946          DOI: 10.3390/plants11131690

Source DB:  PubMed          Journal:  Plants (Basel)        ISSN: 2223-7747


  3 in total

1.  [Ammonia volatilization loss of nitrogen fertilizer from rice field and wet deposition of atmospheric nitrogen in rice growing season].

Authors:  Chengguo Su; Bin Yin; Zhaoliang Zhu; Qirong Shen
Journal:  Ying Yong Sheng Tai Xue Bao       Date:  2003-11

2.  Greenhouse gas emission and microbial community dynamics during simultaneous nitrification and denitrification process.

Authors:  Qiang Kong; Zhi-Bin Wang; Peng-Fei Niu; Ming-Sheng Miao
Journal:  Bioresour Technol       Date:  2016-02-21       Impact factor: 9.642

3.  Effects of Different Types of Water and Nitrogen Fertilizer Management on Greenhouse Gas Emissions, Yield, and Water Consumption of Paddy Fields in Cold Region of China.

Authors:  Tangzhe Nie; Peng Chen; Zhongxue Zhang; Zhijuan Qi; Yanyu Lin; Dan Xu
Journal:  Int J Environ Res Public Health       Date:  2019-05-10       Impact factor: 3.390

  3 in total
  1 in total

1.  An Optimal Decision Support System Based on Crop Dynamic Model for N-Fertilizer Treatment.

Authors:  Abhaya Pal Singh; Amol Yerudkar; Davide Liuzza; Yang Liu; Luigi Glielmo
Journal:  Sensors (Basel)       Date:  2022-10-08       Impact factor: 3.847

  1 in total

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