| MaizeGDB update: new tools, data and interface for the maize model organism database CM Andorf, EK Cannon, JL Portwood, JM Gardiner, LC Harper, ... Nucleic acids research 44 (D1), D1195-D1201, 2016 | 223 | 2016 |
| The effect of artificial selection on phenotypic plasticity in maize JL Gage, D Jarquin, C Romay, A Lorenz, ES Buckler, S Kaeppler, ... Nature communications 8 (1), 1348, 2017 | 140 | 2017 |
| MaizeGDB: the maize model organism database for basic, translational, and applied research CJ Lawrence, LC Harper, ML Schaeffer, TZ Sen, TE Seigfried, ... International journal of plant genomics 2008 (1), 496957, 2008 | 130 | 2008 |
| The Locus Lookup tool at MaizeGDB: identification of genomic regions in maize by integrating sequence information with physical and genetic maps CM Andorf, CJ Lawrence, LC Harper, ML Schaeffer, DA Campbell, ... Bioinformatics 26 (3), 434-436, 2010 | 109 | 2010 |
| MaizeGDB: curation and outreach go hand-in-hand ML Schaeffer, LC Harper, JM Gardiner, CM Andorf, DA Campbell, ... Database 2011, bar022, 2011 | 95 | 2011 |
| MaizeGDB's new data types, resources and activities CJ Lawrence, ML Schaeffer, TE Seigfried, DA Campbell, LC Harper Nucleic acids research 35 (suppl_1), D895-D900, 2007 | 74 | 2007 |
| Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning N Zhou, ZD Siegel, S Zarecor, N Lee, DA Campbell, CM Andorf, ... PLoS computational biology 14 (7), e1006337, 2018 | 69 | 2018 |
| MaizeGDB becomes ‘sequence-centric’ TZ Sen, CM Andorf, ML Schaeffer, LC Harper, ME Sparks, J Duvick, ... Database 2009, bap020, 2009 | 56 | 2009 |
| Choosing a genome browser for a Model Organism Database: surveying the maize community TZ Sen, LC Harper, ML Schaeffer, CM Andorf, TE Seigfried, DA Campbell, ... Database 2010, baq007, 2010 | 53 | 2010 |
| Maize genomes to fields: 2014 and 2015 field season genotype, phenotype, environment, and inbred ear image datasets N AlKhalifah, DA Campbell, CM Falcon, JM Gardiner, ND Miller, ... BMC research notes 11, 1-5, 2018 | 43 | 2018 |
| Relative utility of agronomic, phenological, and morphological traits for assessing genotype‐by‐environment interaction in maize inbreds CM Falcon, SM Kaeppler, EP Spalding, ND Miller, N Haase, N AlKhalifah, ... Crop Science 60 (1), 62-81, 2020 | 29 | 2020 |
| POPcorn: an online resource providing access to distributed and diverse maize project data EKS Cannon, SM Birkett, BL Braun, S Kodavali, DM Jennewein, A Yilmaz, ... International journal of plant genomics 2011 (1), 923035, 2011 | 27 | 2011 |
| The MaizeGDB Genome Browser tutorial: one example of database outreach to biologists via video LC Harper, ML Schaeffer, J Thistle, JM Gardiner, CM Andorf, ... Database 2011, bar016, 2011 | 26 | 2011 |
| Assessing plant performance in the Enviratron Y Bao, S Zarecor, D Shah, T Tuel, DA Campbell, AVE Chapman, D Imberti, ... Plant Methods 15, 1-14, 2019 | 24 | 2019 |
| Wisconsin diversity panel phenotypes: spoken descriptions of plants and supporting data CF Yanarella, L Fattel, ÁÝ Kristmundsdóttir, MD Lopez, JW Edwards, ... BMC Research Notes 17 (1), 33, 2024 | 2 | 2024 |
| Crowdsourcing Image Analysis for Plant Phenomics to Generate Ground Truth Data for Machine Learning ZD Siegel, N Zhou, S Zarecor, N Lee, DA Campbell, CM Andorf, ... bioRxiv, 265918, 2018 | 1 | 2018 |
| Data‐driven identification of environmental variables influencing phenotypic plasticity to facilitate breeding for future climates A Kusmec, CTE Yeh, Genomes to Fields Initiative, MO Bohn, ... New Phytologist, 2024 | | 2024 |
| Gene function annotations for the maize NAM founder lines L Fattel, CF Yanarella, B Ngara, OT Johnson, DA Campbell, ... BMC Research Notes 17 (1), 9, 2024 | | 2024 |
| NAPPN Annual Conference Abstract: Can we make phenomic, genetic, and genomic data FAIR? The AgBioData road trip towards best practices of data sharing and management in … A Marrano, D Campbell, J Campbell, E Cannon, L Cooper, P Harrison, ... Authorea Preprints, 2023 | | 2023 |
| Erratum to: Relative utility of agronomic, phenological, and morphological traits for assessing genotype‐by‐environment interaction in maize inbreds. CM Falcon, SM Kaeppler, EP Spalding, ND Miller, N Haase, N AlKhalifah, ... Crop Science 62 (6), 2022 | | 2022 |
Carolyn J. Lawrence-DillCollege of Agricultural Sciences, Colorado State UniversityVerified email at colostate.edu