基于光合产物动态分配的玉米生物量模拟

doi:10.13287/j.1001-9332.201607.026

应用生态学报 ›› 2016, Vol. 27 ›› Issue (7): 2292-2300.doi: 10.13287/j.1001-9332.201607.026

基于光合产物动态分配的玉米生物量模拟

麻雪艳^1,2, 周广胜^1,3*

¹中国气象科学研究院, 北京 100081;
²南京信息工程大学应用气象学院, 南京 210044;
³南京信息工程大学气象灾害预警协同创新中心, 南京 210044

收稿日期:2015-12-14 发布日期:2016-07-18
通讯作者: *E-mail: gszhou@camscma.cn
作者简介:麻雪艳,女,1988年生,博士研究生.主要从事农业气象研究.E-mail: maxueyan88@126.com
基金资助:
本文由国家自然科学基金重点项目 (41330531)和公益性行业(气象)科研专项(GYHY201506001-3, GYHY201506019)资助

Maize biomass simulation based on dynamic photosynthate allocation.

MA Xue-yan^1,2, ZHOU Guang-sheng^1,3*

¹Chinese Academy of Meteorological Sciences, Beijing 100081, China;
²Nanjing University of Information Science and Technology, Nanjing 210044, China;
³Collaborative Innovation Center on Forecast Meteorological Disaster Warning and Assessment, Nanjing University of Information Science & Technology, Nanjing 210044, China

Received:2015-12-14 Published:2016-07-18
Contact: *E-mail: gszhou@camscma.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (41330531) and the Special Fund for Meteorological Research in the Public Interest of China (GYHY201506001-3, GYHY201506019).

摘要/Abstract

摘要： 光合产物分配是作物生长发育及生物量形成的关键环节,也是作物生长模拟的重要内容.本研究依据光合产物分配机理,结合玉米不同生长阶段的光合产物分配特点,构建了玉米光合产物分配模型.与WOFOST模型的CO₂同化模块相结合,实现了对玉米各器官生物量动态的逐日模拟.利用锦州农田生态系统野外观测站5年的春玉米大田试验资料对模拟效果进行了验证.结果表明: 模型能解释总生物量变化的95.4%;对营养器官生物量变化的解释率达87.0%;对叶、根、茎生物量变化的解释率分别达85.3%,67.9%和76.5%;对穗生物量变化的解释率达87.5%.模型可实现玉米各器官的生物量动态的准确模拟.

Abstract: Photosynthate allocation is critical to crop growth and biomass formation, and it is also a key part of crop simulation. A photosynthate allocation model of maize was established based on photosynthate allocation mechanisms as well as the photosynthate allocation characteristics of maize at different stages. This model was then coupled with the CO₂ assimilation module of WOFOST crop model to simulate the biomass dynamics of different organs of maize on daily scale. It was validated by 5 years’ field experiment data of spring maize from Jinzhou Agricultural Ecosystem Research Station. The results showed that, the model could explain about 95.4% of maize’s total biomass change, while 87.0%, 85.3%, 67.9%, 76.5% and 87.5% of vegetative, leaf, root, stem, and ear biomass variations, respectively. This model could fulfill accurate simulation of different organ biomass dynamics of maize.

麻雪艳, 周广胜. 基于光合产物动态分配的玉米生物量模拟[J]. 应用生态学报, 2016, 27(7): 2292-2300.

MA Xue-yan, ZHOU Guang-sheng. Maize biomass simulation based on dynamic photosynthate allocation.[J]. Chinese Journal of Applied Ecology, 2016, 27(7): 2292-2300.

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基于光合产物动态分配的玉米生物量模拟

Maize biomass simulation based on dynamic photosynthate allocation.

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