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Classifying cold stress responses of inbred maize seedlings using RGB imaging

View ORCID ProfileTara A. Enders, Susan St. Dennis, Justin Oakland, View ORCID ProfileSteven T. Callen, View ORCID ProfileMalia A. Gehan, Nathan D. Miller, View ORCID ProfileEdgar P. Spalding, View ORCID ProfileNathan M. Springer, View ORCID ProfileCory D. Hirsch
doi: https://doi.org/10.1101/432039
Tara A. Enders
1Department of Plant and Microbial Biology, University of Minnesota, St. Paul, MN 55108
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Susan St. Dennis
1Department of Plant and Microbial Biology, University of Minnesota, St. Paul, MN 55108
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Justin Oakland
1Department of Plant and Microbial Biology, University of Minnesota, St. Paul, MN 55108
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Steven T. Callen
2Donald Danforth Plant Science Center, St. Louis, MO 63132
5Bayer U.S. Crop Science, St. Louis, MO 63167
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Malia A. Gehan
2Donald Danforth Plant Science Center, St. Louis, MO 63132
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Nathan D. Miller
3Department of Botany, University of Wisconsin-Madison, Madison, Wisconsin 53706
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Edgar P. Spalding
3Department of Botany, University of Wisconsin-Madison, Madison, Wisconsin 53706
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Nathan M. Springer
1Department of Plant and Microbial Biology, University of Minnesota, St. Paul, MN 55108
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Cory D. Hirsch
4Department of Plant Pathology, University of Minnesota, St. Paul, MN 55108
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Abstract

Increasing the tolerance of maize seedlings to low temperature episodes could mitigate the effects of increasing climate variability on yield. To aid progress toward this goal, we established a growth chamber-based system for subjecting seedlings of 40 maize inbred genotypes to a defined, temporary cold stress while collecting digital profile images over a 9-day time course. Image analysis performed with PlantCV software quantified shoot height, shoot area, 14 other morphological traits, and necrosis identified by color analysis. Hierarchical clustering of changes in growth rates of morphological traits and quantification of leaf necrosis over two time intervals resulted in three clusters of genotypes, which are characterized by unique responses to cold stress. For any given genotype, the set of traits with similar growth rates is unique. However, the patterns among traits are different between genotypes. Cold sensitivity was not correlated with the latitude where the inbred varieties were released suggesting potential further improvement for this trait. This work will serve as the basis for future experiments investigating the genetic basis of recovery to cold stress in maize seedlings.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted October 11, 2018.
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Classifying cold stress responses of inbred maize seedlings using RGB imaging
Tara A. Enders, Susan St. Dennis, Justin Oakland, Steven T. Callen, Malia A. Gehan, Nathan D. Miller, Edgar P. Spalding, Nathan M. Springer, Cory D. Hirsch
bioRxiv 432039; doi: https://doi.org/10.1101/432039
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Classifying cold stress responses of inbred maize seedlings using RGB imaging
Tara A. Enders, Susan St. Dennis, Justin Oakland, Steven T. Callen, Malia A. Gehan, Nathan D. Miller, Edgar P. Spalding, Nathan M. Springer, Cory D. Hirsch
bioRxiv 432039; doi: https://doi.org/10.1101/432039

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