Authors
Jack Nathan , , , , ,
Darwin Celeste , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and
Source
BMC Research Notes 2018(11):452
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Abstract
Objectives: Crop improvement relies on analysis of phenotypic, genotypic, and environmental data. Given large, well‑integrated, multi‑year datasets, diverse queries can be made: Which lines perform best in hot, dry environments?
Which alleles of specific genes are required for optimal performance in each environment? Such datasets also can be leveraged to predict cultivar performance, even in uncharacterized environments. The maize Genomes to Fields (G2F) Initiative is a multi‑institutional organization of scientists working to generate and analyze such datasets from existing, publicly available inbred lines and hybrids. G2F's genotype by environment project has released 2014 and 2015 data‑sets to the public, with 2016 and 2017 collected and soon to be made available.
Data description: Datasets include DNA sequences; traditional phenotype descriptions, as well as detailed ear, cob, and kernel phenotypes quantified by image analysis; weather station measurements; and soil characterizations by site. Data are released as comma separated value spreadsheets accompanied by extensive README text descriptions. For genotypic and phenotypic data, both raw data and a version with outliers removed are reported. For weather data, two versions are reported: a full dataset calibrated against nearby National Weather Service sites and a second calibrated set with outliers and apparent artifacts removed.
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Spotlight
Jonathan Lynch recognized as highly cited researcher in 2021 by Clarivate
Publication receives award from Crop Science Society of America
Tools for breeding cowpea with better roots highlighted in CSA news article
Breeding Beans for Better Roots
Professor Kathleen Brown retires after 41 years
Amelia Henry receives humanitarian award
Jagdeep Sidhu receives research award
Roots lab research focus of podcast from West German Public Radio
Newly discovered trait helps plants grow deeper roots in dry, compacted soils | Penn State University
CSA news article on Roots Lab work with bean breeding
Jagdeep Sidhu Receives College Research Funding
Jonathan Lynch recognized as Highly Cited Researcher by Clarivate
Graduate student receives special award for early career contributions to ASPB
LAT root image wins photo competition of Egyptian Academy of Scientific Research
Graduate student awarded Outstanding Agricultural Graduate Student Award from AASIO
News story on bean root architecture reaches 6 million people, worth $240,000
Bean root architecture results highlighted in CSSA News
Field work proceeds with physical distancing, safety precautions