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Frontiers of Agriculture in China

ISSN 1673-7334

ISSN 1673-744X(Online)

CN 11-5729/S

Front. Agric. China    2007, Vol. 1 Issue (1) : 8-16     DOI: 10.1007/s11703-007-0002-2
Research article |
Modeling grain protein formation in relation to nitrogen uptake and remobilization in rice plant
Yan ZHU1,Weiguo LI1,Qi JING1,Weixing CAO1(),Horie Takeshi2
1. Hi-Tech Key Lab of Information Agriculture of Jiangsu Province, Nanjing Agricultural University, Nanjing 210095, China E-mail:
2. Takeshi Horie Laboratory of Crop Science, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan
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Protein concentration of grain is an important quality index of rice, and formation of grain protein largely depends on pre-anthesis nitrogen assimilation and post-anthesis nitrogen remobilization in the rice plant. The primary objective of this study was to develop a simplified process model for simulating nitrogen accumulation and remobilization in plant and protein formation in rice grains on the basis of an established rice growth model. Six field experiments, involving different years, eco-sites, varieties, nitrogen rates, and irrigation regimes, were conducted to obtain the necessary data for model building, genotypic parameter determination, and model validation. Using physiological development time (PDT) as general time scale of development progress and cultivar-specific grain protein concentration as genotypic parameter, the dynamic relationships of plant nitrogen accumulation and translocation to environmental and genetic factors were quantified and synthesized in the present model. The pre-anthesis nitrogen uptake rate by plant changed with the PDT in a negative exponential pattern, and post-anthesis nitrogen uptake rate changed with leaf area index (LAI) in an exponential equation. Post-anthesis nitrogen translocation rate depended on the plant nitrogen concentration and dry weight at anthesis as well as residue nitrogen concentration of plant at maturity. The nitrogen for protein synthesis in grains came from two sources: the nitrogen pre-stored in leaves, stem and sheath before anthesis and then remobilized after anthesis, and the nitrogen absorbed directly by plant after anthesis. Finally, the model was tested by using the data sets of different years, eco-sites, varieties, and N fertilization and irrigation conditions with the root mean square errors (RMSE) 0.22%-0.26%, indicating the general and reliable features of the model. It is hoped that by properly integrating with the existing rice growth models, the present model can be used for predicting grain protein concentration and grain protein yield of rice under various environments and genotypes.

Keywords rice      grain protain formation      nitrogen uptake      simulation model     
Issue Date: 22 February 2016
 Cite this article:   
Yan ZHU,Weiguo LI,Qi JING, et al. Modeling grain protein formation in relation to nitrogen uptake and remobilization in rice plant[J]. Front. Agric. China, 2007, 1(1): 8-16.
Experiment Year Site Treatment Number of levels Number of cultivars
1 2001 China, Japan, Thailand Varieties and sites 9x6 9
2 2002 China, Japan, Thailand Varieties and sites 9x6 9
3 2002 Jiangsu of China Varieties and sites 10x8 10
4 2002 Nanjing of China Nitrogen rates and irrigation regimes 5x2 1
5 2003 Nanjing of China Nitrogen rates and irrigation regimes 5x2 1
6 2003 Nanjing of China Nitrogen rates and varieties 4x4 4
Table 1  Basic conditions in six different field experiments
Fig. 1  Relationship between nitrogen uptake rate before anthesis and PDT in different rice genotypes
Fig. 2  Relationship between nitrogen uptake rate and leaf area index after anthesis in rice
Fig. 3  Relationship between nitrogen translocation rate after anthesis and PDT in rice
Fig. 4  Comparison of the simulated with measured grain protein concentrations of rice under different eco-environments of three countries (A) and of local areas (B), respectively
Fig. 5  Comparison of the simulated with measured grain protein concentrations of rice under different nitrogen rates and irritation levels
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