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Optimizing Basil Seed Vigor Evaluations: An Automatic Approach Using Computer Vision-Based Technique

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Autor(es):
Altizani-Junior, Julio Cesar ; Cicero, Silvio Moure ; de Lima, Cristina Batista ; Alves, Rafael Mateus ; Gomes-Junior, Francisco Guilhien
Número total de Autores: 5
Tipo de documento: Artigo Científico
Fonte: HORTICULTURAE; v. 10, n. 11, p. 14-pg., 2024-11-01.
Resumo

The short cultivation cycle and high essential oil content of basil plants render them a valuable raw material source for diverse industries. However, large-scale production is hindered by the lack of specific protocols to assess seed vigor; thus, a consistent supply of high-quality seeds that meet consumer demands cannot be ensured. This study investigated the effectiveness of an automated system for seedling analysis as a tool for evaluating basil seed vigor and compared it to traditional tests. For this purpose, seeds from eight commercial lots were evaluated in two separate trials spaced six months apart using the following tests: germination, first germination count, saturated salt accelerated aging, primary root emergence, mean germination time, seedling emergence, seedling emergence speed index, and computerized seedling image analysis. The parameters provided by the system allowed us to clearly and objectively classify the basil seed lots based on vigor, and the results were strongly and significantly correlated with the findings of traditional vigor tests, particularly between the vigor index and seedling length. Digital analysis of four-day-old seedlings proved to be a fast and efficient technique for evaluating basil seed vigor and has the potential for use in automating the data collection and analysis process. (AU)

Processo FAPESP: 18/13139-0 - Desenvolvimento de procedimentos de análise de imagens para avaliar características físicas, químicas e fisiológicas de sementes e plântulas
Beneficiário:Francisco Guilhien Gomes Junior
Modalidade de apoio: Auxílio à Pesquisa - Programa eScience e Data Science - Regular