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Impact of Nitrogen Rate on Maize Yield and Nitrogen Use Efficiencies in Northeast China
Author(s) -
Qiu S. J.,
He P.,
Zhao S. C.,
Li W. J.,
Xie J. G.,
Hou Y. P,
Grant C. A.,
Zhou W.,
Jin J. Y.
Publication year - 2015
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.2134/agronj13.0567
Subject(s) - agronomy , nitrogen , yield (engineering) , grain yield , field experiment , human fertilization , fertilizer , mathematics , biomass (ecology) , environmental science , biology , chemistry , materials science , organic chemistry , metallurgy
Optimizing N fertilization is important to improve both maize ( Zea mays L.) yield and nitrogen use efficiencies (NUEs). A 3‐yr maize field experiment (2008–2010) was conducted to evaluate the response of grain yield, aboveground biomass, plant N concentration, N uptake, and NUEs to fertilizer N rates from 0 to 280 kg N ha −1 at three different rain‐fed Haplic Phaeozem soils (FAO classification) in Northeast China. When N application rate increased from 70 to 280 kg N ha −1 across all site‐years, N recovery efficiency, N agronomic efficiency, N internal efficiency and N partial factor productivity decreased from 76.5 to 9.0%, 25.3 to 0.1 kg kg −1 , 70.7 to 40.8 kg kg −1 , and 145.6 to 22.8 kg kg −1 , respectively. Differences observed among the years and experimental sites were primarily caused by variability in rainfall and soil characteristics. The maximal grain yield of 11.0 Mg ha −1 was achieved at an N rate of 210 kg N ha −1 with normal rainfall. Nitrogen application beyond the optimal N rate did not consistently increase grain yield, and caused a decrease in NUEs. The range of optimal N rate for maize grain yield fell between 140 and 210 kg N ha −1 at the three sites from 2008 to 2010 in Northeast China based on the best fitted models (quadratic, linear plus plateau, and quadratic plus plateau). The results provide guidelines for selecting N application rates to optimize both maize yield and NUEs in Northeast China.