G2F_2014_17: Genome to Fields (G2F) GxE panel (2014-2017)

In allogamous/EnvRtype: Envirotyping Tools for Crop Research and Genetic Improvment

Genome to Fields (G2F) GxE panel (2014-2017)

Description

Genomes to fields (G2F) is a multi-institutional, public collaborative to develop information and tools that support the translation of maize (Zea mays L.) genomic information into relevant phenotypes for the benefit of growers, consumers, and society. Building on existing maize genome sequence resources, the project focuses on developing approaches to improve phenomic predictability and facilitate the development and deployment of tools and resources that help address fundamental problems of sustainable agricultural productivity. Specific projects within G2F involve collaboration from research fields such as genetics, genomics, plant physiology, agronomy, climatology and crop modeling, computational sciences, statistics, and engineering. See https://bmcresnotes.biomedcentral.com/articles/10.1186/s13104-020-4922-8.

Here we used the geographic coordinates from 93 environments (diverse locations across 4 years)

Usage

data(G2F_2014_17)

Format

A data.frame containing environmental identifications (env), geographic coordinates (lat, lon) and the time window (start, end) given in YYYY-MM-DD.

data.frame file

Examples

## Not run: 
require(EnvRtype)
data(G2F_2014_17)

data = G2F_2014_17
env   = data$env
lon   = data$lon
lat   = data$lat
env   = data$env
start = data$start
end = data$end
country = rep('USA1',length(lon))


env.data =
  EnvRtype::get_weather(env.id = env,
                        lat = lat,
                        lon = lon,
                        start.day = start,
                        end.day = end,
                        country = country,
                        parallel = TRUE)

head(env.data)

## End(Not run)

allogamous/EnvRtype documentation built on Nov. 1, 2024, 3:48 a.m.