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

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access_rights https://f2ds.eosc-pillar.eu/dataset/6220d4be-add2-4541-95d5-c32f23aeb6ab#accessRights
catalogue_title inrae
Conforms to ["https://f2ds.eosc-pillar.eu/profile/2f08228e-1789-40f8-84cd-28e3288c3604"]
has_version ["2"]
Identifier doi:10.15454/KLD0GH
Issued 2021-11-29T00:00:00+00:00
Language ["http://id.loc.gov/vocabulary/iso639-1/en"]
Modified 2022-02-15T16:06:46+00:00
Publisher name Portail Data INRAE
system:type F2DSItem
URI https://f2ds.eosc-pillar.eu/dataset/6220d4be-add2-4541-95d5-c32f23aeb6ab
Management Info
Field Value
Source https://doi.org/10.15454/KLD0GH
Author D4Science Jarvis
Maintainer D4Science Jarvis
Last Updated 12 December 2022, 01:04 (CET)
Created 4 May 2022, 01:00 (CEST)