A high-throughput pipeline for phenotyping, object detection and quantification of leaf trichomes.

ABSTRACT:

Key message

We developed a new high-throughput device and AI image detection model capable of rapidly collecting phenotype data for a population of wild grass, facilitating identification of genomic regions associated with trichome density. Access to increasing amounts of high-quality genomic sequence data for many plant species is allowing for faster, more accurate gene identification. To maximize the use of this sequence data for association genetics, gene discovery, and validation, it must be coupled with phenotype data. However, phenotype data acquisition can represent a bottleneck in studies requiring many datapoints, such as large diversity panels for genome-wide association studies. Here we developed a portable handheld imaging device-the Tricocam-and method for image captur

SUBMITTER: Gonzalez-Munoz A 

PROVIDER: S-EPMC12279567 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature