The simulation effect and verification analysis of ORYZA（V3） model on the parameters of double-cropping rice in the Pearl River Delta Region

doi:10.14088/j.cnki.issn0439-8114.2025.02.010

Abstract

Abstract: Taking the Pearl River Delta Region as the research area, based on the growth and development observation data of double-cropping rice at different sowing dates, as well as local meteorological and soil data from 2018 to 2020, the ORYZA（V3） model was calibrated using data from 2018 to 2019 to adjust and determine the basic parameters of the crop. The ORYZA（V3） model was validated using the growth duration, leaf area index and biomass of double-cropping rice in 2020. The results showed that the ORYZA（V3） model accurately simulated the growth duration of double-cropping rice in the Pearl River Delta, with deviations ranging from 0 to 3 days compared to observed values. The simulated dynamic changes in leaf area index （LAI） for both early and late-season rice in 2020 closely matched the observed values. The average linear regression coefficients （α values） of the simulated LAI were close to 1, accompanied by R² values of 0.670 4 and 0.766 0, respectively. The results of t-test indicated no significant difference between the simulated and observed LAI values （P>0.05）. The ORYZA（V3） model had a large error in simulating the biomass of various organs on the ground of rice, but it was still within an acceptable range from a statistical point of view, and the simulation performance was more accurate for late-season rice than early-season rice. The ORYZA（V3） model could accurately simulate rice growth by calibrating the crop parameters, and could be applied to rice production in the Pearl River Delta region.

Key words: ORYZA （V3） model, double-cropping rice, model calibration, simulation effect, verification, Pearl River Delta Region

CLC Number:

S511
S11⁺9

YE Shu-chun, WANG Guang-lun, ZHONG Long, ZENG Fan-wei, CHEN Yuan-zhe, KONG Zheng-yuan. The simulation effect and verification analysis of ORYZA（V3） model on the parameters of double-cropping rice in the Pearl River Delta Region[J]. HUBEI AGRICULTURAL SCIENCES, 2025, 64(2): 64-68.

References

[1] 李逸勉,叶延琼,章家恩,等.广东省水稻产业发展现状与对策分析[J].中国农学通报,2013,29(20):73-82.
[2] 刘均勇,胡乐鸣,张海涛,等.中国农业年鉴[M].北京:中国农业出版社,2020.254.
[3] BOUMAN B A M,VAIL KEULEN H,VAN IJAAR H H,et al. The ‘School of de Wit’ crop growth simulation models: A pedigree and historical overview[J].Agricultural systems,1996,52(2-3):171-198.
[4] LANSIGAN F P, PANDEY S, DOUMAN B A M. Combining crop modeling with econmic risk-analysis for the evaluation of crop management strategies[J]. Field crops reseach,1997, 51(1/2):133-145.
[5] YOUNG M D B,GOWING J W, WYSEURE G C L, et al. Parched-thirst: Development and validation of a process based model of rainwater harvesting[J]. Agricultural water management, 2002, 55(2):121-140.
[6] 薛昌颖,杨晓光,DOUMAN B A M,等.ORYZA2000模型模拟北京地区旱稻的适应性初探[J].作物学报,2005,31(12):1567-1571.
[7] 薛昌颖,杨晓光,邓伟,等.利用ORYZA2000模型分析北京地区旱稻产量潜力及需水特征[J].作物学报,2007,33(4):625-631.
[8] 薛昌颖,杨晓光,陈怀亮,等.基于ORYZA2000模型的北京地区旱稻适宜播种期分析[J].生态学报,2010,30(24):6970-6979.
[9] 李亚龙,崔远来,李远华.基于ORYZA2000的水量平衡要素和水分生产率模拟分析[J].中国农村水利水电,2005(8):1-3.
[10] 李亚龙,崔远来,李远华.水-氮联合限制条件下对水稻生产模型ORYZA2000的验证与评价[J].灌溉排水学报,2005,24(1):28-32,44.
[11] 李亚龙,崔远来,李远华,等.基于ORYZA2000模型的旱稻生长模拟及氮肥管理研究[J].农业工程学报,2005,21(12):141-145.
[12] 李亚龙,崔远来,李远华.基于ORYZA2000的稻田水量平衡及地下水埋深对水稻灌溉的影响[J].灌溉排水学报,2006,25(1):45-48.
[13] 帅细强,王石立,马玉平,等.基于ORYZA2000模型的湘赣双季稻气候生产潜力[J].中国农业气象,2009,30(4): 575-581.
[14] 莫志鸿,冯利平,邹海平,等.水稻模型ORYZA2000在湖南双季稻区的验证与适应性评价[J].生态学报,2011,31(16): 4628-4637.
[15] 浩宇,景元书,马晓群,等.ORYZA2000模型模拟安徽地区不同播期水稻的适应性分析[J].中国农业气象,2013,34(4): 425-433.
[16] 陈超,庞艳梅,莫志鸿.四川单季稻区主栽水稻品种的生长模拟[J].中国农业气象,2016,37(3):307-315.
[17] 李宁,白蕤,伍露,等.基于气象灾害的ORYZA(V3)模型对双季稻发育期模拟的适应性评价[J].干旱气象,2017,35(4):559-566.
[18] 段里成,姚俊萌,郭瑞鸽,等.用ORYZA_V3水稻模型模拟江西直播早稻的适宜性分析[J].中国农业气象,2021,42(11):951-961.
[19] BOUMAN B A M, KROPFF M J, TUONG T P, et al. ORYZA2000: Modeling lowland rice[M].Los Baňos:International rice research institute,2001.
[20] BOUMAN B A M,VAN LAAR H H. Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions[J]. Agricultural systems, 2006, 87(3): 249-273.
[21] CATON B P, FOIN T C, HILL J E.A plant growth model for integrated weed management in direct-seeded rice.Ⅱ.Validation testing of water-depth effects and monoculture growth[J]. Field crops research,1999(62):145-155.
[22] KOBAYASHI K, SALAM M U.Comparing simulated and measured values using mean squared deviation and its components[J]. Agronomy journal, 2000,92(2):345-352.
[23] GAUCH H G, HWANG J T G, FICK G W. Model evaluation by comparison of model-based predictions and measured values[J]. Agronomy journal, 2003, 95(6):1442-1446.