Berauer Bernd J, Chaudhary Suraj, Kottmann Lorenz, Schweiger Andreas H
Department of Plant Ecology, Institute of Landscape and Plant Ecology, University of Hohenheim, Stuttgart, Germany.
Julius Kühn-Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Crop and Soil Science, Braunschweig, Germany.
Data Brief. 2025 Apr 9;60:111545. doi: 10.1016/j.dib.2025.111545. eCollection 2025 Jun.
This data [1] represents ACi curves of twelve winter wheat varieties, which were grown under elevated and ambient CO concentrations within a FACE experiment and the subsequent F1 generation was exposed to ambient and elevated CO concentrations in a highly controlled environment using climate chambers. The 12 winter wheat genotypes ( L.) were selected based on their susceptibilty to leaf rust ( Eriks.) and Fusarium head blight ( Schwabe) according to the descriptive variety list of the German Federal Office of Plant Varietes (Beschreibende Sortenliste, Bundessortenamt 2024). The aim was to obtain a diverse set of varieties with the widest possible range of susceptibilities to leaf rust and fusarium head blight. Photosynthesis was measured using the novel Dynamic Assimilation Technique, thus not with the common steady-state approach. The individual wheat plants were measured twice, once under saturating soil water availability (θ) and once under reduced soil water availability (θ). θ represents the gravimetric water content when the soil matric potential drops below the root matric potential, thus the onset of plant drought stress ( Cai et al [2]). The photosynthesis data was used to fit ACi curves and extract the maximum Rubisco carboxylation rate [Vc], maximum rate of electron transport [J] and dark respiration [Rd]. At both measurements we determined BBCH and plant height to quantify plant morphological development, as well as leaf water potential to quantify plant ecohydrologic status. At the end of the experiment, biomass was harvested and reported. Further, we provide environmental data of the climate chambers in use. Within the data repository, we provide comprehensive experimental data on the investigation of transgenerational memory effects on photosynthetic efficiency. We provide photosynthetic raw data as well as processed (merged) and derived (extracted ACi fit) data. Additionally, we provide the R-code to reproduce the calculation of the derived parameters. Data on transgenerational memory effects (that is, the influence of the parental environment on offspring phenotype and performance) are scarce, i.e. on the adaptive capacity of the photosynthetic apparatus. Thus, the data provided here can contribute to closing this gap. The highly controlled environment allows to closely investigate cause-effect relationships, thereby contributing to a mechanistic understanding of the transgenerational memory effects on photosynthetic efficiency and how this is altered by reduced soil water availability. By using a recently developed methodological approach, the data contributes to further investigate the quality of the method and establish it within the field of plant ecophysiology.
该数据[1]展示了12个冬小麦品种的羧化效率（ACi）曲线，这些品种在自由空气CO₂浓度增高（FACE）试验中，于高浓度和环境浓度CO₂条件下种植，随后其F1代在气候箱的高度可控环境中，分别暴露于环境浓度和高浓度CO₂条件下。根据德国联邦植物品种办公室（Beschreibende Sortenliste, Bundessortenamt 2024）的描述性品种列表，基于对叶锈病（Eriks.）和赤霉病（Schwabe）的易感性，选择了这12个冬小麦基因型（L.）。目的是获得一系列对叶锈病和赤霉病易感性范围尽可能广泛的不同品种。光合作用采用新型动态同化技术进行测量，而非常见的稳态方法。对每株小麦进行了两次测量，一次是在土壤水分供应充足（θ）的情况下，另一次是在土壤水分供应减少（θ）的情况下。θ表示当土壤基质势低于根基质势时的重量含水量，即植物干旱胁迫的开始（Cai等人[2]）。利用光合作用数据拟合ACi曲线，并提取最大核酮糖-1,5-二磷酸羧化酶羧化速率[Vc]、最大电子传递速率[J]和暗呼吸速率[Rd]。在两次测量中，我们都测定了BBCH和株高，以量化植物的形态发育，还测定了叶水势，以量化植物的生态水文状况。在实验结束时，收获并报告了生物量。此外，我们提供了所用气候箱的环境数据。在数据存储库中，我们提供了关于光合效率的跨代记忆效应研究的全面实验数据。我们提供了光合原始数据以及处理后（合并）和推导（提取的ACi拟合）数据。此外，我们还提供了用于重现推导参数计算的R代码。关于跨代记忆效应（即亲本环境对后代表型和性能的影响）的数据，特别是关于光合机构适应能力的数据很少。因此，这里提供的数据有助于填补这一空白。高度可控的环境有助于密切研究因果关系，从而有助于从机制上理解跨代记忆效应如何影响光合效率，以及土壤水分供应减少如何改变这种影响。通过使用最近开发的方法，这些数据有助于进一步研究该方法的质量，并在植物生态生理学领域确立该方法。
