The FIP 1.0 Data Set: Highly Resolved Annotated Image Time Series of 4,000 Wheat Plots Grown in Six Years
Lukas RothiD, Mike BossiD, Norbert KirchgeßneriD, Helge AaseniD, Brenda Patricia Aguirre-CuellariD, Price Pius Atuah Akiina, Jonas AndereggiD, Joaquin GajardoiD, Xiaoran CheniD, Simon Corrado, Krzysztof Cybulski, Beat KelleriD, Stefan Göbel Kortstee, Lukas KronenbergiD, Frank LiebischiD, Paraskevi NousiiD, Corina OppligeriD, Gregor PerichiD, Johannes Pfeifer, Kang YuiD, Nicola Storni, Flavian TschurriD, Simon TreieriD, Michele VolpiiD, Hansueli Zellweger, , Achim WalteriD
Abstract
BackgroundUnderstanding genotype-environment interactions of plants is crucial for crop improvement, yet limited by the scarcity of quality phenotyping data. This data note presents the Field Phenotyping Platform 1.0 data set, a comprehensive resource for winter wheat research that combines imaging, trait, environmental, and genetic data. FindingsWe provide time series data for more than 4,000 wheat plots, including aligned high-resolution image sequences totaling more than 153,000 aligned images across six years. Measurement data for eight key wheat traits is included, namely canopy cover values, plant heights, wheat head counts, senescence ratings, heading date, final plant height, grain yield, and protein content. Genetic marker information and environmental data complement the time series. Data quality is demonstrated through heritability analyses and genomic prediction models, achieving accuracies aligned with previous research. ConclusionsThis extensive data set offers opportunities for advancing crop modeling and phenotyping techniques, enabling researchers to develop novel approaches for understanding genotype-environment interactions, analyzing growth dynamics, and predicting crop performance. By making this resource publicly available, we aim to accelerate research in climate-adaptive agriculture and foster collaboration between plant science and machine learning communities.
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