A dataset for analysing the genetic progress in maize: yield in multi site field experiments and traits in phenotyping platforms

Breeding and improved agronomic practices increased maize yields with the genetic component evaluated in panels of varieties released over decades. We performed a comprehensive analysis that links, in common genetic material, yield progress to underlying physiological traits and corresponding genomic regions. We analyzed a maize panel including the 66 most successful European hybrids released from 1950 to 2015. The dataset consists of (i) measured yield and its components in 30 environments across Europe, together with environmental variables collected every day in each experiment, (ii) phenological, architectural, physiological and reproductive traits measured in ten high-precision experiments in three phenotyping platforms in controlled conditions and two phenotyping platforms in the field

育种改良与农艺栽培技术优化提升了玉米产量，其遗传组分可通过数十年来审定推广的品种群体进行评估。本研究开展了系统性分析，基于统一遗传背景材料，将产量提升进程与潜在生理性状及对应基因组区域建立了关联。本研究所用的玉米群体包含1950年至2015年间欧洲培育推广的66个主流杂交种。本数据集包含两部分内容：(i) 欧洲30个试验环境下测得的玉米产量及其构成因子，以及各试验每日采集的环境变量数据；(ii) 分别在3个可控条件表型平台与2个田间表型平台开展的10项高精度试验中测得的物候、株型、生理及生殖性状数据。