Genomes To Fields 2015
Phenotypic, genotypic, and environment data for the 2015 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.
Resources in this dataset:
Resource Title: CyVerse Genomes To Fields 2015 dataset download.
File Name: Web Page, url: http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Mar_2017
Dataset (csv) and metadata (BibTex, Endnote) data downloads. See _readme.txt for file contents.
Funding
National Science Foundation
University of Wisconsin-Madison
USDA-NIFA
History
Data contact name
Lawrence-Dill, Carolyn J.Data contact email
triffid@iastate.eduPublisher
CyVerse Data CommonsIntended use
To support translation of maize genomic information for the benefit of growers, consumers and society.Theme
- Not specified
ISO Topic Category
- biota
- farming
National Agricultural Library Thesaurus terms
genes; corn; gene ontology; plant genetic resources; Zea mays; image analysis; genomics; growers; society; public-private partnerships; sequence analysis; alleles; prediction; genotype-environment interaction; plant growth; developmental stages; corn ears; corn cobs; sweetcorn; seeds; botany; information storage; data collection; phenotype; soil properties; meteorological dataOMB Bureau Code
- 005:18 - Agricultural Research Service
OMB Program Code
- 005:040 - National Research
ARS National Program Number
- 301
Pending citation
- No
Public Access Level
- Public