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Genomes to Fields 2022 Maize genotype by Environment Prediction Competition.
Lima, Dayane Cristina; Washburn, Jacob D; Varela, José Ignacio; Chen, Qiuyue; Gage, Joseph L; Romay, Maria Cinta; Holland, James; Ertl, David; Lopez-Cruz, Marco; Aguate, Fernando M; de Los Campos, Gustavo; Kaeppler, Shawn; Beissinger, Timothy; Bohn, Martin; Buckler, Edward; Edwards, Jode; Flint-Garcia, Sherry; Gore, Michael A; Hirsch, Candice N; Knoll, Joseph E; McKay, John; Minyo, Richard; Murray, Seth C; Ortez, Osler A; Schnable, James C; Sekhon, Rajandeep S; Singh, Maninder P; Sparks, Erin E; Thompson, Addie; Tuinstra, Mitchell; Wallace, Jason; Weldekidan, Teclemariam; Xu, Wenwei; de Leon, Natalia.
Afiliação
  • Lima DC; Department of Agronomy, University of Wisconsin - Madison, Madison, WI, 53706, USA. dclima@wisc.edu.
  • Washburn JD; USDA-ARS Plant Genetics Research Unit, 205 Curtis Hall, Columbia, MO, 65211, USA.
  • Varela JI; Department of Agronomy, University of Wisconsin - Madison, Madison, WI, 53706, USA.
  • Chen Q; Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, 27695, USA.
  • Gage JL; Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, 27695, USA.
  • Romay MC; Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA.
  • Holland J; USDA-ARS Plant Science Research Unit, Raleigh, NC, 27606, USA.
  • Ertl D; Iowa Corn Promotion Board, Johnston, IA, 50131, USA.
  • Lopez-Cruz M; Department of Epidemiology and Biostatistics, Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI, 48824, USA.
  • Aguate FM; Department of Epidemiology and Biostatistics, Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI, 48824, USA.
  • de Los Campos G; Department of Plant, Soil and Microbial Sciences, Department of Epidemiology and Biostatistics, Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI, 48824, USA.
  • Kaeppler S; Department of Agronomy, University of Wisconsin - Madison, Madison, WI, 53706, USA.
  • Beissinger T; Department of Crop Science, Center for Integrated Breeding Research, University of Göttingen, Carl-Sprengel-Weg 1, 37075, Göttingen, Germany.
  • Bohn M; University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
  • Buckler E; USDA-ARS and Cornell University, Ithaca, NY, 14853, USA.
  • Edwards J; USDA ARS CICGRU, 716 Farmhouse Ln, Ames, IA, 50011-1051, USA.
  • Flint-Garcia S; USDA-ARS Plant Genetics Research Unit, 205 Curtis Hall, Columbia, MO, 65211, USA.
  • Gore MA; Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA.
  • Hirsch CN; Department of Agronomy and Plant Genetics, University of Minnesota, St Paul, MN, 55108, USA.
  • Knoll JE; USDA-ARS Crop Genetics and Breeding Research Unit, Tifton, GA, 31793, USA.
  • McKay J; Department of Agricultural Biology, Colorado State University, Fort Collins, CO, 80523, USA.
  • Minyo R; Department of Horticulture and Crop Science, College of Food, Agricultural, and Environmental Sciences, Ohio State University, Wooster, OH, 44691, USA.
  • Murray SC; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, 77843, USA.
  • Ortez OA; Department of Horticulture and Crop Science, Ohio State University, Columbus, OH, 43210, USA.
  • Schnable JC; Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.
  • Sekhon RS; Department of Genetics and Biochemistry, Clemson University, Clemson, SC, 29634, USA.
  • Singh MP; Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, 48824, USA.
  • Sparks EE; Department of Plant and Soil Sciences, University of Delaware, Newark, DE, 19716, USA.
  • Thompson A; Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, 48824, USA.
  • Tuinstra M; Department of Agronomy, Purdue University, West Lafayette, IN, 49707, USA.
  • Wallace J; Department of Crop & Soil Sciences, University of Georgia, Athens, GA, 30602, USA.
  • Weldekidan T; Department of Plant and Soil Sciences, University of Delaware, Newark, DE, 19716, USA.
  • Xu W; Texas A&M University, College Station, TX, 77843, USA.
  • de Leon N; Department of Agronomy, University of Wisconsin - Madison, Madison, WI, 53706, USA.
BMC Res Notes ; 16(1): 148, 2023 Jul 17.
Article em En | MEDLINE | ID: mdl-37461058
ABSTRACT

OBJECTIVES:

The Genomes to Fields (G2F) 2022 Maize Genotype by Environment (GxE) Prediction Competition aimed to develop models for predicting grain yield for the 2022 Maize GxE project field trials, leveraging the datasets previously generated by this project and other publicly available data. DATA DESCRIPTION This resource used data from the Maize GxE project within the G2F Initiative [1]. The dataset included phenotypic and genotypic data of the hybrids evaluated in 45 locations from 2014 to 2022. Also, soil, weather, environmental covariates data and metadata information for all environments (combination of year and location). Competitors also had access to ReadMe files which described all the files provided. The Maize GxE is a collaborative project and all the data generated becomes publicly available [2]. The dataset used in the 2022 Prediction Competition was curated and lightly filtered for quality and to ensure naming uniformity across years.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma de Planta / Zea mays Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma de Planta / Zea mays Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article