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Related Experiment Video

Updated: May 26, 2025

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes
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Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

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Tasselyzer, a machine learning method to quantify maize anther exertion, based on PlantCV.

Chong Teng1,2,3, Noah Fahlgren1, Blake C Meyers1,2,3,4

  • 1Donald Danforth Plant Science Center, 975 N. Warson Rd, St. Louis, Missouri, 63132, USA.

The Plant Journal : for Cell and Molecular Biology
|February 22, 2025
PubMed
Summary

We developed Tasselyzer, an automated image analysis tool, to precisely quantify maize anther exertion. This cost-effective method aids maize breeding by providing rapid and reliable male fertility assessments.

Keywords:
PlantCVantheranthesismaizemale fertilitynaïve Bayes classifiertassel

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Area of Science:

  • Agricultural Science
  • Plant Biology
  • Genetics

Background:

  • Maize anther exertion is crucial for male fertility and is influenced by genetics and environment.
  • Manual quantification of anther exertion is subjective and labor-intensive, hindering research and breeding efforts.

Purpose of the Study:

  • To develop and validate Tasselyzer, an accessible, cost-effective, and time-saving image-based program for quantifying maize anther exertion.
  • To provide a quantitative and automated alternative to traditional manual scoring methods.

Main Methods:

  • Utilized the PlantCV platform for image analysis of maize tassels.
  • Developed an algorithm to quantify anther exertion based on regional color differences within the tassel.
  • Applied Tasselyzer to 22 maize lines across six genotypes.

Main Results:

  • Tasselyzer demonstrated high precision with an F1 score greater than 0.8.
  • The method proved effective in capturing regional differences in anther exertion within the tassel.
  • Parameter customization for specific maize lines was shown to be straightforward and practical for improving precision.

Conclusions:

  • Tasselyzer offers a valuable, automated, and efficient solution for assessing maize anther exertion.
  • This tool supports maize research and breeding programs by enabling rapid and objective male fertility evaluations.
  • The image-based approach enhances the accuracy and efficiency of quantifying a key trait in maize.