Login / Signup

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

Bridget A McFarlandNaser AlKhalifahMartin BohnJessica BubertEdward S BucklerIgnacio CiampittiJode EdwardsDavid ErtlJoseph L GageCeleste M FalconSherry Flint-GarciaMichael A GoreChristopher GrahamCandice N HirschJames B HollandElizabeth HoodDavid HookerDiego JarquinShawn M KaepplerJoseph KnollGreg KrugerNick LauterElizabeth C LeeDayane C LimaAaron LorenzJonathan P LynchJohn McKayNathan D MillerStephen P MooseSeth C MurrayRebecca NelsonChristina PoudyalTorbert RochefordOscar RodriguezMaria Cinta RomayJames C SchnablePatrick S SchnableBrian ScullyRajandeep SekhonKevin SilversteinManinder SinghMargaret SmithEdgar P SpaldingNathan SpringerKurt ThelenPeter ThomisonMitchell TuinstraJason WallaceRamona WallsDavid WillsRandall J WisserWenwei XuCheng-Ting YehNatalia de Leon
Published in: BMC research notes (2020)
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.
Keyphrases
  • electronic health record
  • big data
  • rna seq
  • healthcare
  • emergency department
  • deep learning
  • health information
  • artificial intelligence
  • single cell
  • plant growth