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Genomes To Fields 2014

Phenotypic, genotypic, and environment data for the 2014 field season: The data is stored in CyVerse.

Data types in this directory tree are: dimension and width profile data collected from scanned images of ears, cobs, and kernels collected from the Genomes To Fields (G2F) project cooperators. G2F is an umbrella initiative to support translation of maize (Zea mays) 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.

Dataset Info

These fields are compatible with DCAT, an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web.
FieldValue
Authors
Campbel, Darwin
(ORCID)
deLeon, Natalia
Edwards, Jode
(ORCID)
Gardiner, Jack
Al Khalifah, Naser
Lawrence-Dill, Carolyn J.
(ORCID)
Petzoldt, Jane
Romay, Cinta
(ORCID)
Walton, Renee
Genomes to Fields Cooperators
Product Type
Dataset
Intended Use
To support translation of maize genomic information for the benefit of growers, consumers and society.
Publisher
CyVerse Data Commons
Contact Name
Lawrence-Dill, Carolyn J.
Contact Email
Public Access Level
Public
Preferred Dataset Citation
Carolyn Lawrence-Dill (2016, 2017). Genomes To Fields 2014. CyVerse Data Commons. DOI 10.7946/P2V888
Cites Other Datasets
Related Content
License
Funding Source(s)
National Science Foundation
University of Wisconsin-Madison
National Institute of Food and Agriculture
Dataset DOI (digital object identifier)
10.7946/P2V888
Program Code
005:037 - Department of Agriculture - Research and Education
Bureau Code
005:18 - Agricultural Research Service
Modified Date
2019-02-06
Release Date
2018-06-08
Ag Data Commons Keywords: 
  • Plants & Crops
  • Traits
  • Plants & Crops
  • Genomics & Genetics
ISO Topic(s):