期刊
BMC RESEARCH NOTES
卷 13, 期 1, 页码 -出版社
SPRINGERNATURE
DOI: 10.1186/s13104-020-4922-8
关键词
Maize; Genome; Genotype; GBS; G x E; Hybrid; Inbred; Phenotype; Environment; Field metadata
资金
- USDA
- USDA Agricultural Research Service
- Arkansas Corn and Grain Sorghum Board
- Clemson University
- Colorado Corn Administrative Committee
- Georgia Agricultural Commodity Commission for Corn
- Corn Marketing Program of Michigan
- Illinois Corn Marketing Board
- Iowa Corn Promotion Board
- Iowa State University Plant Sciences Institute
- Kansas Corn Commission
- Minnesota Corn Research and Promotion Council
- National Corn Growers Association
- Nebraska Corn Board
- Ohio Corn Marketing Program
- Ontario Ministry of Agriculture, Food, and Rural Affairs
- Texas Corn Producers Board
- Wisconsin Corn Promotion Board
- National Science Foundation [DBI-0735191, DBI-1265383, IOS-1339362]
- USDA-NIFA [2011-67003-30342]
- NIFA [2011-67003-30342, 687795] Funding Source: Federal RePORTER
Objectives Advanced tools and resources are needed to efficiently and sustainably produce food for an increasing world population in the context of variable environmental conditions. The maize genomes to fields (G2F) initiative is a multi-institutional initiative effort that seeks to approach this challenge by developing a flexible and distributed infrastructure addressing emerging problems. G2F has generated large-scale phenotypic, genotypic, and environmental datasets using publicly available inbred lines and hybrids evaluated through a network of collaborators that are part of the G2F's genotype-by-environment (G x E) project. This report covers the public release of datasets for 2014-2017. Data description Datasets include inbred genotypic information; phenotypic, climatic, and soil measurements and metadata information for each testing location across years. For a subset of inbreds in 2014 and 2015, yield component phenotypes were quantified by image analysis. Data released are accompanied by README descriptions. For genotypic and phenotypic data, both raw data and a version without outliers are reported. For climatic data, a version calibrated to the nearest airport weather station and a version without outliers are reported. The 2014 and 2015 datasets are updated versions from the previously released files [1] while 2016 and 2017 datasets are newly available to the public.
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