Trait variation and performance across varying levels of drought stress in cultivated sunflower (Helianthus annuus L.)

Background and Aims: Drought is a major agricultural challenge that is expected to worsen with climate change. A better understanding of drought responses has the potential to inform efforts to breed more tolerant plants. We assessed leaf trait variation and covariation in cultivated sunflower (Helianthus annuus L.) in response to water limitation.
Methods: Plants were grown under four levels of water availability and assessed for environmentally induced plasticity in leaf stomatal and vein traits as well as biomass (performance indicator), mass fractions, leaf area, leaf mass per area, and chlorophyll content.
Key Results: Overall, biomass declined in response to stress; these changes were accompanied by responses in leaf-level traits including decreased leaf area and stomatal size, and increased stomatal and vein density. The magnitude of trait responses increased with stress severity and relative plasticity of smaller-scale leaf anatomical traits was less than that of larger-scale tr..., Detailed methods can be found in publication \"Trait variation and performance across varying levels of drought stress in cultivated sunflower (Helianthus annuus L.)\" in AoB Plants, Data from paper entitled \"Trait variation and performance across varying levels of drought stress in cultivated sunflower (Helianthus annuus L.)\" in AoB Plants. Raw images are included for leaf scans, microscope images of stomata and veins and scanned images of cleared leaves. Spreadsheets are included for the experimental design, genotype averaged data, and a trait list., # Leaf traits predict performance under varying levels of drought stress in cultivated sunflower (Helianthus annuus L.)

Journal: AoB Plants

Corresponding author: John Burke - [[e-mail]](mailto:[e-mail])

## Description of the data and file structure

**Experimental Design.csv**
File listing genotypes (SAM lines), blocks and treatments for all 64 plants

**TraitInfo.xlsx**
Table listing all traits and units (also Table 1 in manuscript)

*Code_and_Output -> Data

**DataAvg.csv**
Plant level data for all traits (see file TraitInfo.xlsx for traits and units)

**DataAvg_2.csv**
Processed data (processing shown in script 01_Data_Wrangling.R)

**Watering_BeforeAfter_Per.csv**
Table with percentages of field capacity for watering each day (before and after watering)
**RDPI_for_plots.csv**
Plant level data used for plasticity (RDPI) analyses in manuscript Figure 2

*Code_and_Output -> Code*
*R scripts used for all analyses

##### 01\_Data\_Wrangling.R

Reformatting datafram...

背景与研究目的：干旱是当前主要的农业难题，且随气候变化预计将进一步恶化。深入解析植物的干旱响应机制，可为培育耐旱性更强的作物品种提供理论支撑。本研究以栽培向日葵（Helianthus annuus L.）为对象，评估其在水分限制条件下的叶片性状变异与协同变化规律。

研究方法：将植株种植于4个水分可用性梯度下，分析环境诱导的叶片气孔、叶脉性状及生物量（性能指标）、质量分数、叶面积、比叶重（leaf mass per area）以及叶绿素含量的表型可塑性（phenotypic plasticity）。

主要研究结果：整体而言，植株生物量随干旱胁迫程度升高而下降；该变化伴随叶片水平的性状响应，包括叶面积与气孔尺寸减小，气孔密度（stomatal density）与叶脉密度（vein density）升高。性状响应的幅度随胁迫强度增加而增大，且小型叶片解剖性状的相对可塑性低于大型性状……详细研究方法可参见发表于《AoB Plants》的论文《Trait variation and performance across varying levels of drought stress in cultivated sunflower (Helianthus annuus L.)》。本数据集包含该论文的相关数据：叶片扫描图像、气孔与叶脉的显微镜图像以及透明叶片扫描图像；同时包含实验设计、基因型平均数据以及性状列表的电子表格。

# 栽培向日葵（Helianthus annuus L.）干旱梯度下叶片性状预测生长表现
期刊：AoB Plants
通讯作者：John Burke - <[e-mail]>

## 数据与文件结构说明
**"Experimental Design.csv"**：包含全部64株植株的基因型（SAM品系）、区组与处理信息的文件列表
**"TraitInfo.xlsx"**：列出所有性状及单位的表格（亦为论文中的表1）
*Code_and_Output -> Data*
**"DataAvg.csv"**：所有性状的植株水平数据（性状及单位详见TraitInfo.xlsx）
**"DataAvg_2.csv"**：经过处理的数据（处理流程详见脚本01_Data_Wrangling.R）
**"Watering_BeforeAfter_Per.csv"**：记录每日灌溉前后田间持水量百分比的表格
**"RDPI_for_plots.csv"**：用于论文图2的可塑性（RDPI）分析的植株水平数据
*Code_and_Output -> Code*
*用于所有分析的R脚本*
##### 01_Data_Wrangling.R
数据框重构脚本……