4.0 Article Data Paper

Maize genomes to fields (G2F): 2014-2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets

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

  1. USDA
  2. USDA Agricultural Research Service
  3. Arkansas Corn and Grain Sorghum Board
  4. Clemson University
  5. Colorado Corn Administrative Committee
  6. Georgia Agricultural Commodity Commission for Corn
  7. Corn Marketing Program of Michigan
  8. Illinois Corn Marketing Board
  9. Iowa Corn Promotion Board
  10. Iowa State University Plant Sciences Institute
  11. Kansas Corn Commission
  12. Minnesota Corn Research and Promotion Council
  13. National Corn Growers Association
  14. Nebraska Corn Board
  15. Ohio Corn Marketing Program
  16. Ontario Ministry of Agriculture, Food, and Rural Affairs
  17. Texas Corn Producers Board
  18. Wisconsin Corn Promotion Board
  19. National Science Foundation [DBI-0735191, DBI-1265383, IOS-1339362]
  20. USDA-NIFA [2011-67003-30342]
  21. NIFA [2011-67003-30342, 687795] Funding Source: Federal RePORTER

向作者/读者索取更多资源

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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