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Genomes To Fields 2016

dataset
posted on 2023-12-18, 17:53 authored by Darwin Campbel, Natalia deLeon, Jode Edwards, Jack Gardiner, Naser Al Khalifah, Carolyn J. Lawrence-Dill, Jane Petzoldt, Cinta Romay, Renee Walton, Genomes to Fields Cooperators

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.


Resources in this dataset:

Funding

National Science Foundation

University of Wisconsin-Madison

USDA-NIFA

History

Data contact name

Lawrence-Dill, Carolyn J.

Data contact email

triffid@iastate.edu

Publisher

CyVerse Data Commons

Intended 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 data

OMB 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

Preferred dataset citation

Genomes to Fields (2018). Genomes to Fields 2016. CyVerse Data Commons. DOI 10.7946/P3MW27

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