Navigating the Era of Neo-Heirloom Tomatoes (Solanum lycopersicum L.): Developing an Heirloom Market Type Classifier Using High-Throughput Phenomics and Machine Learning
Navigating the Era of Neo-Heirloom Tomatoes (Solanum lycopersicum L.): Developing an Heirloom Market Type Classifier Using High-Throughput Phenomics and Machine Learning
Date
2022
Authors
Bryant, Giselle D'Aubin
Contributor
Advisor
Radovich, Theodore J.K.
Department
Tropical Plant and Soil Sciences
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
Ending Page
Alternative Title
Abstract
Although there are various informal definitions for heirloom tomatoes (Solanum lycopersicum L.), there is no official botanical classification or certification scheme. Novel hybrid cultivars advertised as 'heirloom-like' exemplify the term's application as a phenotypic descriptor, departing from the term's established conceptions. Two field trials were conducted in Hawai'i to screen cultivars representing traditional heirlooms, heirloom hybrids, and commercial cultivars to explore this concept. We observed significant differences in total and marketable yields (kg/plant) within and between three tomato market classes. Phenotypic traits related to fruit morphology, color, and physicochemical quality were used to develop a Multilayer Perceptron Neural Network (MLPNN) classifier to investigate whether the heirloom archetype could be defined. The model could distinguish between traditional heirlooms, heirloom hybrids, and commercial cultivars with an accuracy rate of 85%. Global and local agnostic tests identified traits for physicochemical quality, color, distal end shape, blockiness, and the latitudinal section as most influential for distinguishing the heirloom class. This study demonstrated that a wide range of phenotypic traits could be selected to target the heirloom ideotype; however, quality standards should be considered to preserve the integrity and value of the heirloom insignia.
Description
Keywords
Agriculture,
Plant sciences,
Horticulture,
Classification,
Heirloom Tomato,
Ideotypes,
Machine Learning,
Phenomics,
Solanum lycopersicum L.
Citation
Extent
85 pages
Format
Geographic Location
Time Period
Related To
Table of Contents
Rights
All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.
Rights Holder
Local Contexts
Collections
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.