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Adjusting a Traverse01:12

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In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
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Automated seminal root angle measurement with corrective annotation.

Abraham George Smith1,2, Marta Malinowska2, Anja Karine Ruud2,3

  • 1Department of Computer Science, University of Copenhagen, Copenhagen 2100, Denmark.

Aob PLANTS
|October 28, 2024
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Seminal root angle measurement is now automated with SeminalRootAngle, an open-source tool. This method accurately quantifies root angles from images, aiding in understanding plant genetics.

Keywords:
AIQTLbarleyroot image analysisseminal root angle

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Area of Science:

  • Plant science
  • Genetics
  • Computational biology

Background:

  • Accurate seminal root angle measurement is crucial for plant phenotyping.
  • Existing methods for root angle analysis are largely manual and lack automation.
  • Understanding root architecture is key to improving crop traits.

Purpose of the Study:

  • To introduce SeminalRootAngle, a novel open-source automated method for measuring seminal root angles from images.
  • To validate the accuracy and user-friendliness of the SeminalRootAngle pipeline.
  • To leverage the tool for genetic analysis of root architecture.

Main Methods:

  • Development of an automated image segmentation pipeline named SeminalRootAngle.
  • Utilizing a corrective annotation training method for enhanced flexibility and user-friendliness.
  • Testing the method on a diverse dataset of 662 spring barley rhizobox images with varying clarity and root obstruction.

Main Results:

  • The SeminalRootAngle pipeline achieved a Pearson correlation coefficient of 0.71 when validated against manual measurements.
  • Inter-annotator agreement was measured with a Pearson correlation coefficient of 0.68, comparable to manual methods.
  • The tool successfully identified single nucleotide polymorphisms (SNPs) associated with root angle and length.

Conclusions:

  • SeminalRootAngle offers an accurate and automated solution for seminal root angle measurement.
  • The tool demonstrates comparable accuracy to manual measurements, improving efficiency in root phenotyping.
  • This automated approach facilitates genetic studies, providing insights into the genetic basis of root architecture.