Chinese Journal OF Rice Science

Chinese Journal OF Rice Science >

2010 , Vol. 24 >Issue 3: 303 - 308

DOI: https://doi.org/10.3969/j.issn.1001-7216.2010.03.014

研究报告

Comparison of Phasic Development Models in Rice

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  • 1Institute of Agricultural Resources and Environment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China； 2College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China; 3Guangdong Climate Center, Guangzhou 510080, China

Received date: 1900-01-01

  Revised date: 1900-01-01

  Online published: 2010-05-10

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Abstract

The difference in response patterns of development rate to temperature and daylength, the phase division and parameter setting, and the relationship among accumulated growth degree day(GDD), development rate(DVR) and development physiological day number(DPD) were discussed by comparing the phasic development models from CERESrice, ORYZA2000, RCSODS and RiceGrow. The four models showed a similar response pattern of development rate to temperature. The parameter setting in CERESrice, ORYZA2000 and RiceGrow was same in basic vegetative phase and grain filling phase, although different parameters were used in these models, such as GDD, DVR, and DPD. During photoperiodsensitive phase, three parameters, such as development rate, critical daylength and daylength effect factor were used in these models, but one parameter was fixed in CERESrice and RiceGrow. One new parameter was applied in ORYZA2000 to describe the development process in reproductive phase, but no new parameter was introduced to development models in CERESrice and RiceGrow. The response patterns of development rate to daylength in photoperiodsensitive phase in CERESrice, RCSODS and ORYZA2000 was similar, which was different to that in RiceGrow. The simple phase division in RCSODS led to fewer genetic parameters. The phasic development model in ORYZA2000 was the most common, but with maximum parameters, and which could not be obtained merely from cultivar data.

Key words： rice; phasic development; model; comparison

Cite this article

SHI Chun-lin,FENG Hui-hui,JIN Zhi-qing, WANG Hua . Comparison of Phasic Development Models in Rice[J]. Chinese Journal OF Rice Science, 2010 , 24(3) : 303 -308 . DOI: 10.3969/j.issn.1001-7216.2010.03.014

References

[1]黄策, 王天铎. 水稻群体物质生产过程的计算机模拟. 作物学报, 1986, 12(1): 1-8.
[2]O′Leary G J, Connor D J, White D H. A simulation model of the development, growth and yield of wheat crop. Agric Sys, 1985, 17: 1-26.
[3]Ritchie J T, Alocilja E C. Singh U, et a1. IBSNAT and the CERES Model//IRRI. Weather and Rice. Manila: IRRI, 1987: 271-281.
[4]Gao L Z, Jin Z Q, Huang Y, et al. Rice clock model: A computer model to simulate rice development. Agric Forest Meteorol, 1992, 60: 1-6.
[5]Nakagawa H, Horie T. Modelling and prediction of developmental process in rice:Ⅱ. A model for simulating panicle development based on daily photoperiod and temperature. Jpn J Crop Sci, 1995, 64(1): 33-42.
[6]Yin X, Kropff M J. A model for photothermal responses of flowering in rice:Ⅰ. Model description and parameterization. Field Crops Res, 1997, 52: 39-51.
[7]Bouman B A M, Kropff M J, Tuong T P, et al. ORYZA2000: Modeling lowland rice. Los Baos: IRRI and Wageningen University, 2001: 235.
[8]孟亚利, 曹卫星, 周治国, 等. 基于生长过程的水稻阶段发育与物候期模拟模型. 中国农业科学, 2003, 36(11): 1362-1367.
[9]郑国清. 浅论对水稻发育期模型的认识. 中国农业气象, 1999, 20(2): 31-34.
[10]Yin X Y, Kropff M J, McLaren G, et al. A nonlinear model for crop development as a function of temperature. Agric & Forest Meteorol, 1995, 77: 1-16.
[11]金之庆, 方娟, 葛道阔, 等. 全球气候变化影响我国冬小麦生产之前瞻. 作物学报, 1994, 20(2): 186-197.
[12]高亮之, 金之庆, 黄耀, 等.水稻栽培计算机模拟优化决策系统. 北京: 中国农业科技出版社, 1992: 152.
[13]朱玉洁, 冯利平, 易鹏, 等. 紫花苜蓿光合生产与干物质积累模拟模型研究. 作物学报, 2007, 33(10): 1682-1687.
[14]汤亮, 朱艳, 刘铁梅, 等. 油菜生育期模拟模型研究. 中国农业科学, 2008, 41(8): 2493-2498.
[15]邹薇, 刘铁梅, 姚娟, 等.基于生理生态过程的大麦顶端发育和物候期模拟模型检验. 生态学报, 2009, 29(3): 1309-1319.
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