首页> 外文期刊>European Journal of Agronomy >Simulation of growth and development processes of spring wheat in response to CO2 and ozone for different sites and years in Europe using mechanistic crop simulation models.
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Simulation of growth and development processes of spring wheat in response to CO2 and ozone for different sites and years in Europe using mechanistic crop simulation models.

机译:使用机械作物模拟模型,模拟欧洲不同地点和年份对春小麦生长的生长和发育过程对二氧化碳和臭氧的响应。

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Two modified mechanistic crop simulation models (AFRCWHEAT2-O3 and LINTULCC), which differ in the levels of mechanistic detail, were used to simulate the effects of CO2 (ambient and twice ambient) and ozone (ambient and 1.5 times ambient) on growthand development of spring wheat in response to climatic conditions. Simulations were analysed using data from the ESPACE-wheat project in which spring wheat cv. Minaret was grown in open-top chambers at 9 sites throughout Europe for up to 3 years at eachsite. Both models closely predicted phenological development and the average measured biomass at maturity. However, intermediate growth variables such as biomass and LAI at anthesis, seasonal accumulated photosynthetically active radiation intercepted by the crop (SIGMAIPAR), the average seasonal light use efficiency (LUE) and the light-saturated rate of flag leaf photosynthesis (Asat) were predicted differently and less accurately by the 2 models. The effect of CO2 on the final biomass was underestimated by AFRCWHEAT2-O3 due to its poor simulation of the effect of CO2 on tillering, and LAI. LINTULCC overestimated the response of biomass production to changes in CO2 level due to an overprediction of the effect of CO2 on LUE. The measured effect of O3exposure on final biomass was predicted accurately by the 2 models. The models also simulated the observed interactive effect of CO2 and O3 on biomass production. However, the effects of O3 on LAI, SIGMAIPAR and Asat were simulated differently by the models and less accurately with LINTULCC for the O3 effects on LAI and SIGMAIPAR. Predictions of the variation between sites and years of growth and development parameters and of their responses to CO2 and O3 were poor for both AFRCWHEAT2-O3 and LINTULCC. It was concluded that other factors than those considered in the models, such as chamber design and soil properties, may have affected the growth and development of wheat. An analysis of the relationships between growth parameters calculated from the simulations supported this conclusion.
机译:使用两种修改后的机械作物模拟模型(AFRCWHEAT2-O3和LINTULCC),它们在机械细节水平上有所不同,用于模拟CO2(环境和两倍环境温度)和臭氧(环境和1.5倍环境温度)对玉米生长和发育的影响。春小麦应对气候条件。使用来自ESPACE-wheat项目的数据对模拟进行了分析,该项目的春季小麦简历。尖塔在整个欧洲的9个地点的敞口室中生长,每个地点长达3年。两种模型都密切预测物候发展和成熟期平均测得的生物量。但是,预测了花期的中间生长变量,例如生物量和LAI,作物截获的季节性累积的光合有效辐射(SIGMAIPAR),平均季节性光利用效率(LUE)和旗叶光合作用的光饱和率(Asat)。这两种模型的区别和准确性较低。由于AFRCWHEAT2-O3对CO2对分ing和LAI影响的模拟较差,因此AFRCWHEAT2-O3低估了CO2对最终生物量的影响。由于对CO2对LUE的影响的高估,LINTULCC高估了生物量生产对CO2水平变化的响应。通过这两个模型可以准确预测O3暴露对最终生物量的测量影响。这些模型还模拟了观察到的CO2和O3对生物量生产的交互作用。但是,模型对O3对LAI,SIGMAIPAR和Asat的影响进行了模拟,对于L3和LAI和SIGMAIPAR的O3影响,使用LINTULCC的准确性较低。对于AFRCWHEAT2-O3和LINTULCC,对于生长和发育参数的位点和年份之间的变化以及它们对CO2和O3的响应的预测都很差。得出的结论是,除模型中考虑的因素外,其他因素(例如室设计和土壤性质)可能已经影响了小麦的生长发育。通过模拟计算得出的生长参数之间的关系分析支持了这一结论。

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