Maize Diversity Phenotype Map

This directory includes image data collected from 155 maize plants over 32 days representing 32 maize inbreds which were also grown across the USA for field phenotyping as part the of the Genomes to Fields (G2F) project. Plants were grown and data collected at the University of Nebraska Automated Greenhouse facility in Fall 2015. Each imaging time point included data from four different types of cameras: RGB, Hyperspectral, Fluorescent, and Thermal IR. Plant water consumption was digitally recorded each day using changes in pot weight. The genotypes imaged here are linked with ground truth data collected from the same plants, field phenotyping data from the same plant varieties grown in multiple states in multiple years (https://doi.org/10.7946/P2V888, https://doi.org/10.7946/P24S31), and GBS-based genotype calls (G2F: https://doi.org/10.7946/P2V888, Romay MC et al.(2013): DOI: 10.1186/gb-2013-14-6-r55). Because plant phenomics is an emerging area, it is hoped that the prepublication release of these novel data types will encourage the development of new image analysis methods in the emerging field of plant phenomics as well as new models for connecting phenotypic data across multiple environments.

データとリソース

追加情報

フィールド	値
作成者	Zhikai Liang, James Schnable
最終更新	4月 10, 2026, 23:01 (UTC)
Published	4月 8, 2026, 06:55 (UTC)
Citation	Zhikai Liang, James Schnable 2017. Maize Diversity Phenotype Map. CyVerse Data Commons. DOI 10.7946/P22K7V
alternateIdentifier	/b7946/p22k7v
compressed_data	true
contributor	Zhikai Liang, Piyush Pandey, Vincent Stoerger, Yumou Qiu, Yufeng Ge
creatorNameIdentifier	0000-0001-6739-5527
de_created_date	2017-07-26T01:57:21Z
de_modified_date	2020-02-20T22:05:33Z
identifierType	DOI
is_deprecated	false
publisher	CyVerse Data Commons
resourceType	maize images