New Results
Utilizing top-down hyperspectral imaging for monitoring genotype and growth conditions in maize
View ORCID ProfileSara B. Tirado, Susan St Dennis, View ORCID ProfileTara A. Enders, View ORCID ProfileNathan M. Springer
doi: https://doi.org/10.1101/2020.01.21.914069
Sara B. Tirado
1Department of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, MN 55108
2Department of Plant and Microbial Biology, University of Minnesota, Saint Paul, MN 55108
Susan St Dennis
2Department of Plant and Microbial Biology, University of Minnesota, Saint Paul, MN 55108
Tara A. Enders
3Department of Biology, Hofstra University, Hempstead, NY 11549
Nathan M. Springer
2Department of Plant and Microbial Biology, University of Minnesota, Saint Paul, MN 55108

Article usage
Posted January 23, 2020.
Utilizing top-down hyperspectral imaging for monitoring genotype and growth conditions in maize
Sara B. Tirado, Susan St Dennis, Tara A. Enders, Nathan M. Springer
bioRxiv 2020.01.21.914069; doi: https://doi.org/10.1101/2020.01.21.914069
Subject Area
Subject Areas
- Biochemistry (10777)
- Bioengineering (8034)
- Bioinformatics (27257)
- Biophysics (13964)
- Cancer Biology (11115)
- Cell Biology (16034)
- Clinical Trials (138)
- Developmental Biology (8772)
- Ecology (13269)
- Epidemiology (2067)
- Evolutionary Biology (17342)
- Genetics (11680)
- Genomics (15904)
- Immunology (11013)
- Microbiology (26045)
- Molecular Biology (10627)
- Neuroscience (56465)
- Paleontology (417)
- Pathology (1729)
- Pharmacology and Toxicology (2999)
- Physiology (4539)
- Plant Biology (9615)
- Synthetic Biology (2684)
- Systems Biology (6968)
- Zoology (1508)