Improved process understanding of CO2-induced mechanisms on yield and yield quality of selected field-grown wheat genotypes

提高对二氧化碳诱导的所选田间小麦基因型产量和产量质量机制的理解

• 批准号: 200794346
• 负责人: Professor Dr. Andreas Fangmeier
• 金额: --
• 依托单位: Fachgebiet Pflanzenökologie (320b)
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2012
• 资助国家: 德国
• 起止时间: 2011-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/200794346?language=en
• 关键词: Improved; process; understanding; CO2; induced

Carbon dioxide (CO2) is emitted from various human activities. This causes atmospheric CO2 enrichment and in turn climate warming as well as changes in precipitation patterns, thus affecting agro-ecosystems. Besides effects on crop yield, CO2 enrichment and the interactions with other environmental factors might also have deleterious effects on wheat grain quality. However, the underlying crop physiological processes are far from being clear. The aim of this project is thus to provide experimental data to improve the mechanistic understanding of crop response in terms of yield formation and yield quality under climate change. Wheat will be used as model crop to make use of previous data and to fill some of the still existing gaps with regard to physiological responses of crops under climate change. Two contrasting wheat genotypes will be exposed in a free-air CO2 enrichment (FACE) system in the field in order to follow nutrient acquisition and allocation, and water relations and photosynthetic performance will be assessed by means of leaf gas exchange and actual plant transpiration measurements. Stable isotope analyses (13C, 15N) will aid to track C and N redistribution and to gain integrated estimates of water use efficiency and water relations. Besides targeted analyses, we will use metabolomic and proteomic approaches to identify subtle effects of climate change on grain yield quality. We will also focus on comprehensive data evaluation (e.g., meta-analyses), including the impacts of selected constellations of climate factors covered by previous experiments, in particular extreme events such as high temperature and droughts and nitrogen forms, in order to elucidate the physiological processes. Data will also be used to model impacts of climate change on crop growth and yield quality based on explicit simulation of plant internal transport processes. In addition, field assessments at the research sites and for "new crops" will be performed with regard to crop development and crop yield. Data will be provided to the whole consortium for model calibration and validation.

人类的各种活动都会排放二氧化碳 (CO2)。这导致大气中二氧化碳浓度增加，进而导致气候变暖以及降水模式的变化，从而影响农业生态系统。除了影响作物产量外，二氧化碳富集以及与其他环境因素的相互作用也可能对小麦籽粒品质产生有害影响。然而，潜在的作物生理过程还远未明确。因此，该项目的目的是提供实验数据，以提高对气候变化下作物产量形成和产量质量响应的机制理解。小麦将被用作模型作物，以利用以前的数据并填补气候变化下作物生理反应方面仍然存在的一些空白。两种对比鲜明的小麦基因型将暴露在田间的自由空气二氧化碳富集 (FACE) 系统中，以跟踪养分获取和分配，并通过叶片气体交换和实际植物蒸腾测量来评估水分关系和光合性能。稳定同位素分析（13C、15N）将有助于跟踪碳和氮的重新分配，并获得水利用效率和水关系的综合估计。除了有针对性的分析外，我们还将使用代谢组学和蛋白质组学方法来确定气候变化对粮食产量质量的微妙影响。我们还将重点关注全面的数据评估（例如荟萃分析），包括先前实验所涵盖的选定气候因素群的影响，特别是高温、干旱和氮形态等极端事件，以阐明生理过程。数据还将用于基于植物内部运输过程的显式模拟来模拟气候变化对作物生长和产量质量的影响。此外，还将对研究地点和“新作物”进行作物发育和作物产量的实地评估。数据将提供给整个联盟以进行模型校准和验证。

项目成果

Simulating regional climate-adaptive field cropping with fuzzy logic management rules and genetic advance

利用模糊逻辑管理规则和遗传进步模拟区域气候适应性田间种植

• DOI: 10.1017/s0021859615000490
• 发表时间: 2016
• 期刊: The Journal of Agricultural Science
• 作者: Parker;Ingwersen;Priesack;Aurbacher
• 通讯作者: Aurbacher

Contrasting effect of elevated atmospheric CO2 on the C/N ratio of faba bean and spring wheat residues exert only minor changes in the abundance and enzyme activities of soil proteolytic bacteria

• DOI: 10.1016/j.pedobi.2017.04.001
• 发表时间: 2017-05
• 期刊: Pedobiologia
• 影响因子: 2.3
• 作者: F. Rasche;S. Kramer;Esther Enowashu;K. Mackie;P. Högy;S. Marhan

CO2 dose-response functions for wheat grain, protein and mineral yield based on FACE and open-top chamber experiments.

基于 FACE 和开顶室实验的小麦籽粒、蛋白质和矿物质产量的 CO2 剂量响应函数

• DOI: 10.1016/j.envpol.2014.12.030
• 发表时间: 2015
• 期刊: Environmental pollution
• 影响因子: 8.9
• 作者: Pleijel

Physiological and Proteomic Evidence for the Interactive Effects of Post‐Anthesis Heat Stress and Elevated CO2 on Wheat

• DOI: 10.1002/pmic.201800262
• 发表时间: 2018-11
• 期刊: PROTEOMICS
• 影响因子: 3.4
• 作者: Xiaxiang Zhang;P. Högy;X. Wu;I. Schmid;Xiulin Wang;W. Schulze;D. Jiang;A. Fangmeier

Simulation-based Projections of Crop Management and Gross Margin Variance in Contrasting Regions of Southwest Germany

德国西南部对比地区作物管理和毛利率差异的模拟预测

• DOI: 10.5296/jas.v3i1.5956
• 发表时间: 2015
• 期刊: Journal of Animal Science
• 影响因子: 3.3
• 作者: Parker;Reinmuth;Ingwersen;Priesack;Wizemann;Aurbacher
• 通讯作者: Aurbacher