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Modeling biomass, nitrogen and water dynamics in rice-wheat rotations

Published on Sep 1, 2010in Agricultural Systems4.13
· DOI :10.1016/j.agsy.2010.04.001
Qi Jing3
Estimated H-index: 3
(NAU: Nanjing Agricultural University),
Herman van Keulen20
Estimated H-index: 20
(WUR: Wageningen University and Research Centre),
H. Hengsdijk22
Estimated H-index: 22
(WUR: Wageningen University and Research Centre)
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Abstract
Rice-wheat cropping systems occupy between 24 and 26Â Mha in Asia. A main feature of RW rotations is the alternation of aerobic and anaerobic soil conditions. This alternation of flooded and non-flooded soil conditions is conducive to N emissions, especially with the current high N rates in RW systems. To design alternative management systems, better understanding of the processes underlying emissions is required. For that purpose, the RIce WhEat Rotation model (RIWER) was developed, on the basis of existing crop, water and soil organic matter models, describing the relevant soil processes under both anaerobic and aerobic conditions. RIWER is evaluated using data from RW experiments in China. Assessment of model performance, on the basis of graphical comparison and goodness-of-fit parameters, showed that RIWER performs well in simulating total aboveground biomass, N uptake of cops and soil inorganic N content. The RIWER modeling framework needs further testing, but offers a promising operational tool to support the design of sustainable RW systems, combining environmentally-friendly production methods and high yields.
  • References (73)
  • Citations (11)
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References73
Newest
#1Qi Jing (NAU: Nanjing Agricultural University)H-Index: 3
#2B.A.M. Bouman (IRRI: International Rice Research Institute)H-Index: 42
Last.Tingbo Dai (NAU: Nanjing Agricultural University)H-Index: 28
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#1Olaf Erenstein (CIMMYT: International Maize and Wheat Improvement Center)H-Index: 24
#2Umar Farooq (Pakistan Agricultural Research Council)H-Index: 6
Last.Muhammad Sharif (National Agricultural Research Centre)H-Index: 3
view all 4 authors...
#1Mingsheng Fan (CAU: China Agricultural University)H-Index: 25
#2Shihua LuH-Index: 6
Last.Fusuo Zhang (CAU: China Agricultural University)H-Index: 74
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#1Yuhua Tian (CAS: Chinese Academy of Sciences)H-Index: 8
#2Bin Yin (CAS: Chinese Academy of Sciences)H-Index: 11
Last.Zhaoliang Zhu (CAS: Chinese Academy of Sciences)H-Index: 18
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#1Qi Jing (NAU: Nanjing Agricultural University)H-Index: 17
#2B.A.M. Bouman (IRRI: International Rice Research Institute)H-Index: 42
Last.Weixing Cao (NAU: Nanjing Agricultural University)H-Index: 27
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#1A.A. Boling (IRRI: International Rice Research Institute)H-Index: 5
#2B.A.M. Bouman (IRRI: International Rice Research Institute)H-Index: 42
Last.S.Y. JatmikoH-Index: 1
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Cited By11
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#1Rangjian Qiu (NUIST: Nanjing University of Information Science and Technology)H-Index: 9
#2Chunwei Liu (NUIST: Nanjing University of Information Science and Technology)H-Index: 1
Last.Gen Li
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#1Xuezhi Tan (WHU: Wuhan University)H-Index: 1
#2Dongguo Shao (WHU: Wuhan University)H-Index: 9
Last.Wenquan Gu (WHU: Wuhan University)H-Index: 3
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#1Nurulhuda Khairudin (UPM: Universiti Putra Malaysia)
#2Donald Gaydon (CSIRO: Commonwealth Scientific and Industrial Research Organisation)H-Index: 9
Last.Karel J. Keesman (WUR: Wageningen University and Research Centre)H-Index: 17
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#1Li-Jin Guo (HAU: Huazhong Agricultural University)H-Index: 6
#2Zhi-Sheng Zhang (HAU: Huazhong Agricultural University)H-Index: 6
Last.Cougui Cao (HAU: Huazhong Agricultural University)H-Index: 14
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#1A.A. Jaradat (ARS: Agricultural Research Service)
#1Donald Gaydon (WUR: Wageningen University and Research Centre)H-Index: 9
#2M. E. Probert (CSIRO: Commonwealth Scientific and Industrial Research Organisation)H-Index: 15
Last.J. Timsina (IRRI: International Rice Research Institute)H-Index: 26
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