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作物学报 ›› 2015, Vol. 41 ›› Issue (01): 123-135.doi: 10.3734/SP.J.1006.2015.00123

• 耕作栽培·生理生化 • 上一篇    下一篇

GECROS模型在黄淮海地区模拟夏玉米生长的适应性评价

吴玮1,2,3，马玉平1,*，俄有浩1，孙琳丽1,2，景元书2   

  1. 中国气象科学研究院, 北京 100081; 2南京信息工程大学, 江苏南京 210044; 3无为县气象局, 安徽无为 238300 
  • 收稿日期:2014-04-30 修回日期:2014-09-30 出版日期:2015-01-12 网络出版日期:2014-11-11
  • 通讯作者: 马玉平, E-mail: mayp@cams.cma.gov.cn
  • 基金资助:

    本研究由国家公益性行业(气象)科研专项(GYHY201006027)和中国气象科学研究院基本科研业务费专项(2009Y005)资助。

Adaptability Evaluation of GECROS Simulateing Summer Maize Growth in the Yellow-Huaihe-Haihe Rivers

WU Wei1,2,3,MA Yu-Ping1,*,E You-Hao1,SUN Lin-Li1,2,JING Yuan-Shu2   

  1. 1 Chinese Academy of Meteorological Sciences, Beijing 100081, China; 2 Nanjing University of Information Science & Technology, Nanjing 210044, China; 3 Wuwei County Bureau of Meteorology, Wuwei 238300, China
  • Received:2014-04-30 Revised:2014-09-30 Published:2015-01-12 Published online:2014-11-11
  • Contact: 马玉平, E-mail: mayp@cams.cma.gov.cn

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摘要：

GECROS是荷兰瓦赫宁根农业大学近些年开发的机理性更强、算法更简要的作物生长模型。本文利用黄淮海地区夏玉米试验数据进行GECROS模型的适应性评价, 为模型进一步开展区域应用提供依据。结果表明, GECROS基本能够反映黄淮海地区夏玉米的发育进程。模型模拟夏玉米抽雄期的绝对偏差在6.0 d以内, 平均为2.1 d; 模拟成熟期的绝对偏差在8.0 d以内, 平均为3.4 d。GECROS描述夏玉米干物质积累和叶面积扩展过程的准确度较高。模拟雌穗总重的归一化均方根误差在7.8%~33.8%之间, 平均为18.6%; 模拟植株地上总重的归一化均方根误差在11.2%~32.6%之间, 平均为20.7%; 模拟LAI的绝对偏差在0.28~0.55之间, 平均为0.41, 模拟籽粒产量的绝对偏差在20.3~229.0 g m-2之间, 平均为80.9 g m-2。利用GECROS模型相对评价作物生长状况或环境影响基本可行。但GECROS模拟夏玉米发育进程仍存在低值偏高、高值偏低的现象; 在土壤水分胁迫较重时, 描述的生物量积累过程有偏低情况; 描述LAI扩展的总体效果差于生物量累积的效果。GECROS仍需进一步完善。

关键词: GECROS, 适应性, 夏玉米, 黄淮海地区

Abstract:

The evaluation of crop model is a key process for its application. GECROS model had been developed by Wageningen in recent years. GECROS uses stronger mechanism and more concise algorithms to summarize the current knowledge of individual physiological processes and their interactions and feedback mechanisms. To provide a foundation for the future localization and regional application of GECROS model, in this study, the field observations of summer maize from several agrometeorological stations in Yellow-Huaihe-Haihe Rivers were used to conduct the adaptability evaluation of GECROS model. The results showed that GECROS model could basically reflect the growing process of summer maize in Yellow-Huaihe-Haihe Rivers. The absolute deviations at the period from emergence to tasseling simulated by GECROS were less than 6.0 d, with an average of 2.1 d. The absolute deviations at the period from tasseling to mature were less than 8.0 d, with an average of 3.4 d. The dry matter accumulation and leaf area expansion process of summer maize were accurately described by GECROS. The normalized mean square root errors (%) of total ear weight simulated by GECROS were 7.8%–33.8%, with an average of 18.6%, and these of total plant weight were 11.2%–32.6%, with an average of 20.7%. The absolute deviations of LAI were 0.28–0.55, with an average of 0.41. The relative evaluation on crop growth and impact of environmental conditions was basically feasible. But the developmental process of summer maize simulated by GECROS had the phenomenon of low values tengding to higher and high values tengding to lower. When the soil water stress was severe, GECROS gave a lower value for the biomass accumulation process, and the overall effect of description for the LAI expansion was inferior to that for biomass accumulation. GECROS still needs to be further improved.

Key words: GECROS, Adaptability, Summer maize, The Yellow-Huaihe-Haihe Rivers

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