2024 Dookie Long Coleoptile Wheat Trial: Genotype, Sowing Depth and Soil Strength Interactions

This dataset originates from the 2024 long coleoptile wheat trial conducted at Dookie College, Victoria, Australia. The trial investigates the interactions between wheat genotype, sowing depth, and presswheel pressure (as a proxy for soil strength) on early crop establishment and development. The core experimental design is a factorial combination of six wheat genotypes (Scepter, Calibre, Mace, Mace18, Magenta, Magenta13), two sowing depths (shallow: 30–40 mm; deep: 80–100 mm), and three presswheel pressures (light, standard, heavy), resulting in 36 treatment combinations replicated across multiple blocks. The dataset is structured across multiple Excel file (.xlsx) sheets, each representing different aspects of the trial, including experimental design, field maps, seed characteristics, soil measurements, and emergence data. Key files include treatment layouts, seed packing details, soil strength and moisture data at various depths and time points (pre-sowing, 0 days after sowing, and 12 days after sowing), temperature logger data, and detailed emergence counts over time. Soil strength was measured using a Geotester penetrometer, while gravimetric moisture and matric potential were assessed through laboratory analysis of soil cores taken at specified depths. Temperature sensors recorded hourly data at 0, 3–4, and 8–10 cm depths in selected plots. Seed characteristics such as thousand seed weight, seed size grading, and germination/vigour assessments were recorded for each genotype. The emergence data includes counts from two seeding rows per plot, tracked over multiple dates post-sowing, allowing for analysis of emergence dynamics. The dataset supports investigations into how genotype and agronomic practices influence wheat establishment under varying soil mechanical resistance and moisture conditions. All data is labelled with consistent identifiers for plot, treatment, genotype, depth, and pressure, facilitating integration across sheets. This comprehensive dataset enables robust analysis of genotype by environment by management interactions relevant to improving wheat establishment under challenging sowing conditions.\nLineage: Field-based plot phenotypic data

本数据集源自澳大利亚维多利亚州杜基学院（Dookie College）2024年开展的长胚芽鞘小麦试验。该试验旨在探究小麦基因型、播种深度与压轮压力（presswheel pressure，作为土壤强度的替代指标）对作物早期建植与生长发育的交互影响。核心实验设计采用析因组合设计，包含6个小麦基因型（Scepter、Calibre、Mace、Mace18、Magenta、Magenta13）、2个播种深度（浅层：30–40 mm；深层：80–100 mm）以及3个压轮压力等级（轻压、标准压、重压），共计36种处理组合，并设置多个重复区组。本数据集以多个Excel（.xlsx）工作表形式存储，每张工作表对应试验的不同维度，涵盖实验设计、田间地图、种子特性、土壤测量数据及出苗数据。核心文件包括处理布局方案、种子包装详情、不同深度与时间节点（播前、播后0天、播后12天）的土壤强度与湿度数据、温度记录仪数据，以及随时间变化的详细出苗计数数据。其中，土壤强度采用Geotester型土壤贯入仪（Geotester penetrometer）测定；重量法土壤湿度与基质势通过对指定深度采集的土芯开展实验室分析得到。温度传感器在选定样地的0 cm、3–4 cm及8–10 cm深度处按小时记录数据。各小麦基因型的种子特性均已记录，包括千粒重、种子分级尺寸以及发芽与活力评估结果。出苗数据涵盖每个样地2条播种行的计数结果，并在播后多个日期进行跟踪记录，可用于分析出苗动态。本数据集可支持探究在不同土壤机械阻力与湿度条件下，基因型与农艺措施如何影响小麦建植过程。所有数据均配有统一的样地、处理、基因型、深度及压力标识符，便于跨工作表整合分析。本综合性数据集可开展稳健的基因型-环境-管理交互作用分析，为改善恶劣播种条件下的小麦建植效果提供数据支撑。数据谱系：田间样本表型数据