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土壤干旱胁迫对作物影响的模拟研究进展

米娜1,张玉书1*,蔡福1,高莉莉2,纪瑞鹏1,于文颖1,郭宁2#br#   

  1. 1 中国气象局沈阳大气环境研究所, 沈阳 110166;  2锦州市气象局, 辽宁锦州 121001)
  • 出版日期:2016-09-10 发布日期:2016-09-10

Progress in the simulation of drought stress effect on crop production.

MI Na1, ZHANG Yu-shu1*, CAI Fu1, GAO Li-li2, JI Rui-peng1, YU Wen-ying1, GUO Ning2#br#   

  1. (1Institute of Atmospheric Environment, China Meteorological Administration (Shenyang), Shenyang 110166, China; 2Jinzhou Meteorological Service, Jinzhou 121001, Liaoning, China).
  • Online:2016-09-10 Published:2016-09-10

摘要: 用于模拟土壤干旱胁迫对作物影响的模型分为两类,一是水分管理模型,此类模型并不模拟作物的生长发育,但可以用于灌溉管理;二是作物生长模拟模型,这类模型模拟作物生长的主要过程(如叶片生长、生物量的积累与分配等),通常以实际蒸腾与潜在蒸腾的比值估算土壤干旱胁迫对作物光合的影响,近年来发展的耦合模型将植物的碳同化、蒸腾、能量平衡以及气孔行为相耦合,使得土壤干旱胁迫对作物影响的模拟更具机理性。本文从不同模型模拟土壤干旱对作物影响的原理入手,阐述了水分管理模型(FAO水分生产函数模型)、作物生长模型(AquaCrop模型、CERES-Maize模型、WOFOST模型、EPICphase模型、耦合模型)等具有代表性模型是如何模拟土壤干旱胁迫对作物生长发育和(或)产量影响的,提出了作物模型模拟土壤干旱胁迫影响时应着力解决的问题:完善干旱对作物物候的影响模拟;考虑花期不遇对作物产量影响的模拟;考虑后续持续影响的模拟机制;发展更加基于物理和生理过程的模型。提出:作物模型的发展还需要多领域如模型程序员、田间试验、植物生理学家的相互协同与发展,田间试验研究是作物模型发展不可或缺的数据来源与坚实基础。

关键词: 共生, 生物因素, 非生物因素, 非菌根植物

Abstract: Among the two types of models that can be used for simulating the main physiological processes that affect crop yield under water deficit stress, a distinction can be made between water management models that do not explicitly simulate crop growth but that have been developed for irrigation planning, and crop growth simulation models that simulate main processes of crop growth (leaf area growth, biomass production and partition). Crop growth models usually estimate the effects of drought stress on carbon assimilation by use of the ratio of actual transpiration to potential transpiration. In recent years, the proposed coupled models that couple the processes of carbon assimilation, transpiration, energy balance, and stomatal behavior improve mechanisms in simulation of the effects of drought stress on crop production. This study synthesizes the mechanisms involved in the different models (FAO water production function, AquaCrop, CERESMaize, WOFOST, EPICphase and coupled models) and presents the main processes of these typi-cal models on how to simulate the drought stress effect on crop growth and development. Based on above discussion, further research in the crop production models is proposed, such as improving the simulation of the effects of drought stress on crop penology, considering the response of anthesissilking interval to water deficit, considering the mechanisms of subsequent effects of drought stress after water recover, developing more physically and physiologically based models. Additionally, effective multidisciplinary collaboration between model programmers, field experimentalists, and plant physiologists will be necessary to model enhancements. Field experiment is an important data source for model developments and enhancements.

Key words: biological factor, non biological factor., symbiosis, non-mycorrhizal plant