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.

本数据集包含了2015年度田间试验的表型、基因型和环境数据，存储于CyVerse平台。该目录树中的数据类型包括杂交和自交的农艺及性能性状数据、自交基因型数据以及来自基因组至田野（Genomes To Fields，简称G2F）项目合作者的环境（土壤、天气）数据。G2F是一项旨在支持将玉米（Zea mays）基因组信息转化为对种植者、消费者及社会有益的伞形倡议。这一公共与私营部门合作项目基于公共资金支持的玉米基因组测序项目，旨在开发理解玉米基因及其特定等位基因在不同环境中的功能的方法。最终，这些信息将被用于实现对玉米植株在不同环境中的表型进行准确预测。理解基因型与环境（GxE）交互作用的总体目标具有众多维度，包括哪些基因影响哪些性状及其组成部分、基因间如何相互作用（GxG）、特定基因在不同生长条件下的相关性，以及这些基因如何在不同发育阶段影响植物生长。本数据集中的资源包括：资源标题：CyVerse基因组至田野2015数据集下载。文件名：网页，网址：http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Mar_2017数据集（csv）和元数据（BibTex、Endnote）的下载。请参阅_readme.txt以了解文件内容。