Phenotypic, genotypic, and environment data for the 2016 field season: The data is stored in CyVerse.
Data types in this directory tree are: hybrid and inbred agronomic and performance traits; inbred genotypic data; and environmental (soil, weather) data 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.
- CyVerse Genomes To Fields 2016 dataset downloadhtml
Dataset (csv) and metadata (BibTex, Endnote) data downloads. See _readme.txt...
Dataset InfoThese fields are compatible with DCAT, an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web.
To support translation of maize genomic information for the benefit of growers, consumers and society.
CyVerse Data Commons
Lawrence-Dill, Carolyn J.
|Public Access Level|
|Preferred Dataset Citation|
Genomes to Fields (2018). Genomes to Fields 2016. CyVerse Data Commons. DOI 10.7946/P3MW27
National Science Foundation
University of Wisconsin-Madison
National Institute of Food and Agriculture
005:037 - Department of Agriculture - Research and Education
005:18 - Agricultural Research Service
- Plants & Crops
- Plants & Crops
- Genomics & Genetics
- Agroecosystems & Environment