Genomes to Fields 2016

Data types in this directory tree are: hybrid and inbred agronomic and performance traits; inbred genotypic data; and environmental data collected from the Genomes To Fields (G2F) project cooperators. G2F is an umbrella initiative to support translation of maize genomic information for the benefit of growers, consumers and society. This public-private partnership is building on publicly funded corn genome sequencing projects to develop approaches to understand the functions of corn genes and specific alleles across environments. Ultimately this information will be used to enable accurate prediction of the phenotypes of corn plants in diverse environments. There are many dimensions to the over-arching goal of understanding genotype-by-environment (GxE) interactions, including which genes impact which traits and trait components, how genes interact among themselves (GxG), the relevance of specific genes under different growing conditions, and how these genes influence plant growth during various stages of development.

Data and Resources

Additional Info

Field Value
Author Genomes to Fields
Last Updated June 23, 2024, 17:14 (UTC)
Created June 23, 2024, 17:14 (UTC)
AlternateIdentifier 87946/p3mw27
Analysis_tool
Citation Genomes to Fields 2018. Genomes to Fields 2016. CyVerse Data Commons. DOI 10.7946/P3MW27
Date created in discovery environment 2018-03-14 14:45:05
Date last modified in discovery environment 2020-02-20 22:05:33
Description Data types in this directory tree are: hybrid and inbred agronomic and performance traits; inbred genotypic data; and environmental data collected from the Genomes To Fields (G2F) project cooperators. G2F is an umbrella initiative to support translation of maize genomic information for the benefit of growers, consumers and society. This public-private partnership is building on publicly funded corn genome sequencing projects to develop approaches to understand the functions of corn genes and specific alleles across environments. Ultimately this information will be used to enable accurate prediction of the phenotypes of corn plants in diverse environments. There are many dimensions to the over-arching goal of understanding genotype-by-environment (GxE) interactions, including which genes impact which traits and trait components, how genes interact among themselves (GxG), the relevance of specific genes under different growing conditions, and how these genes influence plant growth during various stages of development.
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Rights ODC PDDL
Subject Genome, Genotype, GBS, Maize, Corn, Phenotype, Breeding, Environment, Weather, Soil,
alternateIdentifierType ARK
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contributorName Darwin Campbell, Natalia de Leon, Jode Edwards, Jack Gardiner, Naser Alhalifah, Carolyn Lawrence-Dill, Jane Petzoldt, Cinta Romay, Renee Walton and the Genomes to Field Cooperators (http://www.genomes2fields.org/)
contributorType DataManager
creatorAffiliation University of Wisconsin - Madison
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datacite.publisher CyVerse Data Commons
datacite.resourcetype Dataset
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