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

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Tác giả: Noah Fahlgren, Blake C Meyers, Chong Teng

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: England : The Plant journal : for cell and molecular biology , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 551636

 Maize anthers emerge from male-only florets, a process that involves complex genetic programming and is affected by environmental factors. Quantifying anther exertion provides a key indicator of male fertility
  however, traditional manual scoring methods are often subjective and labor-intensive. To address this limitation, we developed Tasselyzer - an accessible, cost-effective, and time-saving method for quantifying maize anther exertion. This image-based program uses the PlantCV platform to provide a quantitative assessment of anther exertion by capturing regional differences within the tassel based on the distinct color of anthers. We applied this method to 22 maize lines with six genotypes, showing high precision (F
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