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POMONA: a multiplatform software for modeling seed physiology.

Renato Fernandes Cantão1, João Paulo Ribeiro-Oliveira2, Edvaldo A Amaral da Silva3

  • 1Center for Science and Technology for Sustainability (CSTS), Federal University of São Carlos (UFSCar), Sorocaba, SP, Brazil.

Frontiers in Plant Science
|July 24, 2023
PubMed
Summary

POMONA software models seed germination and longevity kinetics, offering a fast and accurate assessment tool for diverse data distributions. This multiplatform solution enhances seed trade, food, and environmental security strategies.

Keywords:
agriculture 5.0algebraic modelsautomated scoringcornplant physiologyseed qualitysoybean

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Area of Science:

  • Agricultural Science
  • Plant Biology
  • Computational Biology

Background:

  • Seed physiology is crucial for the seed-seedling transition, impacting functional and metabolic traits.
  • Accurate modeling of seed kinetics, uniformity, and capacity is essential for trade, food, and environmental security.
  • Existing methods may not adequately handle non-normally distributed seed data.

Purpose of the Study:

  • To introduce POMONA, a user-friendly, multiplatform software for assessing seed germination and longevity.
  • To integrate various logistic and linearized models into a single, accessible package.
  • To provide a robust tool for seed data analysis, irrespective of distribution type.

Main Methods:

  • POMONA is implemented in JavaScript using the Quasar framework.
  • The software is designed as a multiplatform application, compatible with Windows, GNU/Linux, and Android.
  • It can also function as a web service.
  • The models used are logistic and linearized, suitable for non-Normal data.

Main Results:

  • POMONA demonstrates robustness, accuracy, and high performance in assessing seed germination and longevity.
  • Case studies with corn and soybean diaspores validate the software's capabilities.
  • The software facilitates rapid assessment of seed sample quality.

Conclusions:

  • POMONA offers a convenient and fast solution for seed germination and longevity assessment.
  • Its multiplatform nature and ability to handle non-Normal data make it broadly applicable.
  • This software represents a foundational step towards automated, multiplatform laboratory tools for seed analysis.