ArticleThe Plant journal : for cell and molecular biology2025
Tasselyzer, a machine learning method to quantify maize anther exertion, based on PlantCV.
Article in The Plant journal : for cell and molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Premeiotic 24-nt phasiRNAs are present in thebioRxiv : the preprint server for biology · 2024Article
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Authors and funding
3 authors.
Funding
Abstract
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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