Biochar-based nitrogen fertilizers: Greenhouse gas emissions, use efficiency, and maize yield in tropical soils

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Victor Sanches Ribeirinho ◽  
Cristiano Alberto de Andrade
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Patma Vityakon

Geoderma ◽  
2018 ◽  
Vol 315 ◽  
pp. 1-10 ◽  
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Jianling Li ◽  
Yu'e Li ◽  
Yunfan Wan ◽  
Bin Wang ◽  
Muhammad Ahmed Waqas ◽  
...  

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Katy W. Smith Nannenga ◽  
H. Allen Torbert

2014 ◽  
Vol 30 ◽  
pp. 724-733 ◽  
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Ali Mohammadi ◽  
Shahin Rafiee ◽  
Ali Jafari ◽  
Alireza Keyhani ◽  
Seyed Hashem Mousavi-Avval ◽  
...  

Author(s):  
Y. Li ◽  
S. Yi ◽  
Y. Lin ◽  
S. Liu

This paper proposes an optimization method based on the RAGA model. Taking rice from a cold area as the research object, this article selects irrigation volume, nitrogen application volume, and biochar application volume as experimental factors, and rice yield, water use efficiency, greenhouse gas emission comprehensive warming potential as influencing indicators. The research design is D311 Field trials by 3 factors of 5 levels of saturation. Hence, we can obtain the data on rice yield, water use efficiency, greenhouse gas emissions and comprehensive warming potential under different levels of water and fertilizer, and biochar application, and regression equations were established respectively. The RAGA model was used to simulate the regression equations. The optimal combination of water and fertilizer, and biochar was obtained as follows: irrigation amount is 7230 m3.hm-2, nitrogen fertilizer application amount is 92.13 kg.hm-2, and biochar application amount is 30 t.hm-2. The optimal rice yield obtained under this combination is 9452.20 kg.hm-2. The water use efficiency is 1.94 kg.m-3, and the comprehensive warming potential of greenhouse gas emissions is 4546.73 kg.hm-2. The combined application of water and fertilizer, and biochar optimized by this model can provide a theoretical basis for achieving high yield, water-saving, and emission reduction of rice in cold areas, and it can also provide a reliable calculation method and idea for solving similar optimization problems in the field of agricultural production.


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