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Leaf economics traits in wine grapes

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DataONE2025-02-03 更新2025-04-26 收录
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Resource acquisitive plant species are expected to show stronger trait integration vs. resource conservative species, due to simultaneous selection for multiple resource requirements including light, water, and nutrients. While this hypothesis has been invoked to predict interspecific differences in trait variation and integration, it has not been tested to explain intraspecific trait variation (ITV) and trait integration among varieties of crop species. We quantified nine leaf physiological, water-use, chemical, and morphological traits related to acquisition and use of light, CO2, water, and nutrients, across six varieties of wine grapes (Vitis vinifera L.), in order to quantify the extent of ITV and trait integration among one of the world’s most common and economically important perennial crops. This dataset was also used to test the hypothesis that within a crop species, resource acquisitive varieties express stronger trait integration vs. resource conservative varieties. All leaf ..., Leaf trait determination For each individual leaf we used a LI-6800 Portable Photosynthesis System (Licor Bioscience, Lincoln, Nebraska, USA) to execute a 90-point A-Ci curve using the Dynamic Assimilation Technique (DAT) (Saathoff & Welles 2021; McClain & Sharkey 2023). All A-Ci curves and other physiological data collection was conducted while leaves were attached to the plant. During these curves CO2 assimilation rates on a per leaf area basis (Aarea; μmol CO2 m-2 s-1) were logged every 4-seconds across continuously ramping CO2 concentrations, with a ramp rate of 100 μmol mol-1 min-1 (consistent with recommendations by Stinziano et al. 2019; McClain & Sharkey 2023) beginning at 5 μmol mol-1 and concluding at 1700 μmol mol-1. For each A-Ci curve, conditions in the 6 cm2 aperture leaf chamber were otherwise held constant with a photosynthetic photon flux density (PPDF) of 1500 μmol m-2 s-1 of photosynthetically active radiation (PAR; 400-700 nm) (cf. Martin et al. 2022a), r..., , # Wine grape trait data [https://doi.org/10.5061/dryad.9p8cz8wt6](https://doi.org/10.5061/dryad.9p8cz8wt6) ## Description of the data and file structure We quantified nine leaf physiological, water-use, chemical, and morphological traits related to acquisition and use of light, CO2, water, and nutrients, across six varieties of wine grapes (*Vitis vinifera* L.), in order to quantify the extent of intraspecific trait variation and integration among one of the world’s most common and economically important perennial crops. This dataset was also used to test the hypothesis that within a crop species, resource acquisitive varieties express stronger trait integration vs. resource conservative varieties. ### Files and variables #### File: Martin\_et\_al.\_Functional\_Ecology.\_Wine\_grape\_trait\_data.xlsx **Description:** Leaf functional traits of wine grapes ##### Variables | Dataset column name | Description | | :----...
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2025-02-04
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