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Neural Net Classification Combined With Movement Analysis to Evaluate Setaria viridis as a Model System for Time of Day of Anther Appearance.

Frontiers in plant science · 31 Oct 2018 · 10.3389/fpls.2018.01585

Abstract

In many plant species, the time of day at which flowers open to permit pollination is tightly regulated. Proper time of flower opening, or Time of Day of Anther Appearance ( TAA ), may coordinate flowering opening with pollinator activity or may shift temperature sensitive developmental processes to cooler times of the day. The genetic mechanisms that regulate the timing of this process in cereal crops are unknown. To address this knowledge gap, it is necessary to establish a monocot model system that exhibits variation in TAA. Here, we examine the suitability of Setaria viridis , the model for C4 photosynthesis, for such a role. We developed an imaging system to monitor the temporal regulation of growth, flower opening time, and other physiological characteristics in Setaria. This system enabled us to compare Setaria varieties Ames 32254, Ames 32276, and PI 669942 variation in growth and daily flower opening time. We observed that TAA occurs primarily at night in these three Setaria accessions. However, significant variation between the accessions was observed for both the ratio of flowers that open in the day vs. night and the specific time of day where the rate is maximal. Characterizing this physiological variation is a requisite step toward uncovering the molecular mechanisms regulating TAA. Leveraging the regulation of TAA could provide researchers with a genetic tool to improve crop productivity in new environments.

Plant phenotyping relevance

Setariaの花開時刻や成長を時系列画像とニューラルネットワーク・運動解析で取得するイメージングシステムを開発しており、植物形質の取得手法が研究の中心です。

titleNeural Net Classification Combined With Movement Analysis to Evaluate Setaria viridis as a Model System for Time of Day of Anther Appearance.
abstractWe developed an imaging system to monitor the temporal regulation of growth, flower opening time, and other physiological characteristics in Setaria.
abstractThis system enabled us to compare Setaria varieties Ames 32254, Ames 32276, and PI 669942 variation in growth and daily flower opening time.

Code and data availability

The paper's phenotyping analysis code (camera optimization loop, day-time classification function and trained model, bristle density and growth scripts) is publicly available in the authors' DohertyLab GitHub repository, and a sample A10 day/night image dataset is deposited on Harvard Dataverse. Supplementary material,

Codepublic

lines never intersect, then the row of the first white pixel not classified as a bristle from the top of the image was used. The bristle density was then calculated for each image in a set. All day time images after panicle emergence were averaged to determine the final bristle density for that panicle. Scripts are available at https://github.com/DohertyLab/Setaria-Flower-Opening-Time . Quantification of growth ImageJ Fiji ( https://imagej.net/Fiji/Downloads ) was used to analyze the daily growth pattern of seedlings from 3 to 10 days after emergence. Dawn and dusk images at 8 a.m. and 8 p.m. were imported as an image sequence. In three replicates of each variety the second and/or third leav

Open resource ↗DohertyLab/Setaria-Flower-Opening-Time · lines:43-49

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