Physiological, and Digital Seedling Phenotyping Data of Maize Landraces Used for Seed Quality Assessment

This dataset contains the complete experimental data used in the study entitled “Integration of Digital X-ray Imaging and Automated Seedling Phenotyping for Seed Quality Assessment of Maize Landraces”. The dataset includes measurements obtained from 24 maize landraces and one commercial hybrid reference, encompassing: • Seed physical attributes derived from digital X-ray imaging, including morphometric and densitometric descriptors (e.g., seed area, perimeter, circularity, relative density, integrated density, and gray-value-based measurements); • Physiological quality assessments, including germination, first count, emergence, emergence speed index, accelerated aging, moisture content, seed infestation, purity analysis, and thousand-seed weight; • Digital seedling phenotyping variables obtained through automated image analysis, including shoot length, root length, total seedling length, shoot dry mass, root dry mass, and vigor-related indices; • Supporting data used for correlation analysis, multivariate statistics, and principal component analysis (PCA).本数据集包含题为《用于玉米地方品种种子品质评估的数字X射线成像与自动化幼苗表型分析集成研究》的研究中所用的全部实验数据。 本数据集涵盖24个玉米地方品种及1个商业杂交对照品种的测量数据，具体包括： • 基于数字X射线成像的种子物理属性数据，涵盖形态计量学与密度计量学表征指标（如种子面积、周长、圆度、相对密度、积分密度及基于灰度值的测量项）； • 生理品质评估指标，包括发芽率、初次发芽计数、出苗率、出苗速率指数、加速老化试验、种子含水量、种子侵染率、纯度分析及千粒重； • 通过自动化图像分析获取的数字化幼苗表型变量，包括地上部长度、根部长度、幼苗总长度、地上部干重、根部干重及活力相关指数； • 用于相关性分析、多元统计分析及主成分分析（PCA）的辅助数据。