Genomes to Fields 2022 Maize Genotype by Environment Prediction Competition

The dataset contains the data used in the Genomes to Fields 2022 Maize Genotype by Environment (G x E) Prediction Competition, including phenotypic, genotypic, soil, weather, environmental covariate data, and metadata information. The Prediction Competition aimed to develop models for predicting grain yield for the 2022 Maize G x E project field trials, leveraging the datasets previously generated by this project (https://www.genomes2fields.org/resources/) and other publicly available data.

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Lauks	Vērtība
Autors	Genomes to Fields
Pēdējā atjaunināšana	aprīlis 10, 2026, 23:00 (UTC)
Published	aprīlis 8, 2026, 06:53 (UTC)
Citation	Genomes to Fields 2023. Genomes to Fields 2022 Maize Genotype by Environment Prediction Competition. CyVerse Data Commons. DOI 10.25739/tq5e-ak26
contributor	Dayane Cristina Lima
de_created_date	2023-05-09T16:02:57Z
de_modified_date	2023-05-15T19:33:38Z
identifierType	DOI
publisher	CyVerse Data Commons
resourceType	phenotypic, genotypic, soil, weather, environmental covariate data, and metadata information.