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Leaf rolling in maize crops: from leaf scoring to canopy level measurements for phenotyping

View ORCID ProfileF. Baret, S. Madec, K. Irfan, J. Lopez, A. Comar, M. Hemmerlé, D. Dutartre, S. Praud, M. H. Tixier
doi: https://doi.org/10.1101/201665
F. Baret
1INRA-EMMAH-CAPTE, Avignon, France
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S. Madec
1INRA-EMMAH-CAPTE, Avignon, France
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K. Irfan
1INRA-EMMAH-CAPTE, Avignon, France
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J. Lopez
3HIPHEN, Avignon, France
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A. Comar
2Biogemma, Chappes, France
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M. Hemmerlé
2Biogemma, Chappes, France
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D. Dutartre
2Biogemma, Chappes, France
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S. Praud
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M. H. Tixier
3HIPHEN, Avignon, France
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Abstract

Leaf rolling in maize crops is one of the main plant reactions to water stress that may be visually scored in the field. However, the leaf scoring did not reach the high-throughput desired by breeders for efficient phenotyping. This study investigates the relationship between leaf rolling score and the induced canopy structure changes that may be accessed by high-throughput remote sensing techniques.

Results gathered over a field phenotyping platform run in 2015 and 2016 show that leaf starts to roll for the water stressed conditions around 9:00 and reaches its maximum around 15:00. Conversely, genotypes conducted under well watered conditions do not show any significant rolling during the same day. Leaf level rolling was very strongly correlated to canopy structure changes as described by the fraction of intercepted radiation fIPARWS derived from digital hemispherical photography. The changes in fIPARWS were stronly correlated (R2=0.86, n=50) to the leaf level rolling visual score. Further, a very good consistency of the genotype ranking of the fIPARWS changes during the day was found (ρ=0.62). This study demonstrating the strong coordination between leaf level rolling and its impact on canopy structure changes poses the basis for new high-throughput remote sensing methods to quantify this water stress trait.

Highligh The diurnal dynamics of leaf rolling scored visually is strongly related to canopy structure changes that can be documented using Digital hemispherical photography. Consequences for high-throughput field phenotyping are discussed

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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. All rights reserved. No reuse allowed without permission.
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Posted October 11, 2017.
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Leaf rolling in maize crops: from leaf scoring to canopy level measurements for phenotyping
F. Baret, S. Madec, K. Irfan, J. Lopez, A. Comar, M. Hemmerlé, D. Dutartre, S. Praud, M. H. Tixier
bioRxiv 201665; doi: https://doi.org/10.1101/201665
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Leaf rolling in maize crops: from leaf scoring to canopy level measurements for phenotyping
F. Baret, S. Madec, K. Irfan, J. Lopez, A. Comar, M. Hemmerlé, D. Dutartre, S. Praud, M. H. Tixier
bioRxiv 201665; doi: https://doi.org/10.1101/201665

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