Unknown

Dataset Information

Automatic Fruit Morphology Phenome and Genetic Analysis: An Application in the Octoploid Strawberry.


ABSTRACT: Automatizing phenotype measurement will decisively contribute to increase plant breeding efficiency. Among phenotypes, morphological traits are relevant in many fruit breeding programs, as appearance influences consumer preference. Often, these traits are manually or semiautomatically obtained. Yet, fruit morphology evaluation can be enhanced using fully automatized procedures and digital images provide a cost-effective opportunity for this purpose. Here, we present an automatized pipeline for comprehensive phenomic and genetic analysis of morphology traits extracted from internal and external strawberry (Fragaria x ananassa) images. The pipeline segments, classifies, and labels the images and extracts conformation features, including linear (area, perimeter, height, width, circular

SUBMITTER: Zingaretti LM 

PROVIDER: S-EPMC8139333 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature