四川单季稻区主栽水稻品种的生长模拟

doi:10.3969/j.issn.1000-6362.2016.03.006

中国农业气象 ›› 2016, Vol. 37 ›› Issue (03): 307-315.doi: 10.3969/j.issn.1000-6362.2016.03.006

四川单季稻区主栽水稻品种的生长模拟

陈超，庞艳梅，莫志鸿

1. 中国气象局成都高原气象研究所/高原与盆地暴雨旱涝灾害四川省重点实验室，成都 610072；2. 高原大气与环境四川省
重点实验室，成都 610225；3.北京市气候中心，北京 100089

收稿日期:2015-09-06 出版日期:2016-06-20 发布日期:2016-06-20
作者简介:陈超（1982-），博士，主要研究方向为气候资源与农业减灾、生物气候模型与信息系统研究。 E-mail：chenchao16306@sina.com
基金资助:
高原大气与环境四川省重点实验室开放课题资助课题(PAEKL-2014-C5)；中国气象局西南区域重大科研业务项目（2014-08）；中国气象局气候变化专项(CCSF201422)；四川省气象局科学技术研究开发课题(2014-青年-08)

Growth Simulation of Major Rice Varieties in Single Cropping Rice Area of Sichuan Province

CHEN Chao, PANG Yan-mei, MO Zhi-hong

1.Institute of Plateau Meteorology, China Meteorological Administration, Chengdu/Heavy Rain and Drought-Flood Disasters in
Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610072, China; 2.Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu 610225; 3.Beijing Climate Center, Beijing 100089

Received:2015-09-06 Online:2016-06-20 Published:2016-06-20

摘要/Abstract

摘要：

利用四川单季稻区7个农业气象观测站5个主栽品种的田间观测数据，结合当地栽培管理措施、土壤条件及逐日气象资料对ORYZA2000模型进行参数调试，并确定四川单季稻区5个主栽品种的作物参数值；利用4～5a各主栽品种的观测数据对单季稻生育期、叶面积指数、生物量和产量等指标的模拟结果进行验证和评价。结果表明，合系39营养生长期发育速率最大，而生殖生长期发育速率最小，Ⅱ优838营养生长期发育速率最小，而D优63和汕优2生殖生长期发育速率最大；模型对5个单季稻主栽品种的生育期模拟效果较好，各品种开花期与成熟期的相对模拟误差均在1～2d，归一化均方根误差（NRMSE）均小于1%；各品种产量的NRMSE在5.26%～10.01%，叶面积指数的NRMSE为10.37%～19.19%，地上部总生物量、茎生物量、绿叶生物量及穗生物量的NRMSE分别为13.17%～18.69%、14.31%～20.41%、18.95%～24.74%和20.85%～25.39%。由此可见，ORYZA2000模型能够较为准确地模拟四川单季稻区5个主栽品种的发育及产量形成过程，适应能力较强，可以应用于四川单季稻生产。

关键词: 作物模型, ORYZA2000, 单季稻, 主栽品种, 四川

Abstract:

To provide the reference for regional adaptation and application of ORYZA2000 in Sichuan province, the model was calibrated by the field data of five rice varieties at seven agrometeorological stations, and evaluated by the dataset from above stations with the five rice varieties. The daily meteorological data over the growing period of single cropping rice for the studied sites were used as driving variables in ORYZA2000 model. Management measures and soil data were used as the input of the model. By the comparison between measured and simulated values of development stages, leaf area index (LAI), biomass and yield, the simulation capacity and performance of ORYZA2000 model were evaluated in single cropping rice area. The results showed that nutrition stage growth rate of Hexi-39 was largest, but reproductive stage growth rate of Hexi-39 was smallest. The nutrition stage growth rate of Ⅱyou-838 was smallest, but reproductive stage growth rate of Dyou-63 and Xianyou-2 were largest. ORYZA2000 model could simulate the phenology of five rice varieties with 1-2 days’ difference for flowering and maturity stages. Furthermore, the normalized root mean square errors (NRMSE) of different development stages were less than 1%. While the NRMSE of other rice parameters were 5.26%-10.01% for yield, 10.37%-19.19% for leaf area index, 13.17%-18.69% for aboveground biomass, 14.31%-20.41% for stem biomass, 18.95%-24.74% for green leaves biomass, and 20.85%-25.39% for panicle biomass．These results showed that ORYZA2000 model could satisfactorily simulate the dynamical process of growth and yield of five major rice varieties. In general, we could conclude that ORYZA2000 model was adaptable and could be applied in scenarios analysis study in single cropping rice area of Sichuan province.

Key words: Crop model, ORYZA2000, Single cropping rice, Major rice varieties, Sichuan province

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(03): 307-315.

CHEN Chao, PANG Yan-mei, MO Zhi-hong . Growth Simulation of Major Rice Varieties in Single Cropping Rice Area of Sichuan Province[J]. Chinese Journal of Agrometeorology, 2016, 37(03): 307-315.

参考文献

[1]Jing Q,Bouman B A M,Hengsdijk H,et al.Exploring options to combine high yields with high nitrogen use efficiencies in irrigated rice in China[J].European Journal of Agronomy,2007, 26(2):166-177.

[2]秦鹏程,姚凤梅,曹秀霞,等.利用作物模型研究气候变化对农业影响的发展过程[J].中国农业气象,2011,32(2): 240-245.

Qin P C,Yao F M,Cao X X,et al.Development process of modeling impacts of climate change on agricultural productivity based on crop models[J].Chinese Journal of Agrometeorology, 2011,32(2): 240-245.(in Chinese)

[3]薛昌颖,杨晓光,Bouman 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.

Xue C Y,Yang X G,Bouman B A M,et al.Preliminary approach on adaptability of ORYZA2000 model for aerobic rice in Beijing region[J].Acta Agronomica Sinica,2005,31(12):1567- 1571.(in Chinese)

[4]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.

Xue C Y,Yang X G,Deng W,et al.Yield potential and water requirement of aerobic rice in Beijing analyzed by ORYZA2000 model[J].Acta Agronomica Sinica,2007,33(4): 625-631.(in Chinese)

[5]Feng L P,Bouman B A M,Tuong T P.Exploring options to grow rice using less water in northern China using a modelling approach[J]. Agricultural Water Management,2007, 88:1-13.

[6]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.

Shuai X Q,Wang S L,Ma Y P,et al.Studies on potential climate productivity of double rice in Hunan and Jiangxi Provinces Based on ORYZA 2000 model[J].Chinese Journal of Agrometeorology,2009,30(4):575-581.(in Chinese)

[7]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.

Mo Z H,Feng L P,Zou H P,et al.Validation and adaptability evaluation of rice growth model ORYZA2000 in double cropping rice area of Hunan Province[J].Acta Ecologica Sinica,2011,31(16):4628-4637.(in Chinese)

[8]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.

Hao Y,Jing Y S,Ma X Q,et al.Analysis on the simulation adaptability of ORYZA2000 model for rice with different sowing-date in Anhui Province[J].Chinese Journal of Agrometeorology,2013,34(4):425-433.(in Chinese)

[9]Bouman B A M,Kropff M J,Tuong T P,et al.ORYZA2000: Modeling Lowland Rice[M].Los Baňos:International Rice Research Institute, and Wageningen:Wageningen University and Research Centre,2001．

[10]Li T,Angeles O,Radanielson A,et al.Drought stress impacts of climate change on rainfed rice in South Asia[J].Climatic Change,2015,133:709-720.

[11]Sumathi A,Mohandass S,Ramasamy S.Impact of climate change scenario on rice production in two planting methods:a simulation study[J].International Journal of Environmental Science and Technology,2015, (12):1539- 1548.

[12]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.

Li Y L,Cui Y L,Li Y H,et al.Growth simulation of aerobic rice and its nitrogen management on the basis of ORYZA2000[J].Transactions of the CSAE,2005,21(12):141- 145. (in Chinese)

[13]张俊,徐绍辉,刘建立,等.应用ORYZA2000模型模拟水稻产量及吸氮量[J].土壤,2007,39(3):428-432．

Zhang J,Xu S H,Liu J l,et al.Simulation of yield and nitrogen uptake of rice using ORYZA 2000 model[J]. Soils,2007, 39(3):428-432.(in Chinese)

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四川单季稻区主栽水稻品种的生长模拟

Growth Simulation of Major Rice Varieties in Single Cropping Rice Area of Sichuan Province

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