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Assessment of the physiological quality of cucumber seeds by an automated computer imaging system (SVIS®), compared to traditional procedures

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Author(s):
Adrielle Aparecida Chiquito
Total Authors: 1
Document type: Master's Dissertation
Press: Piracicaba.
Institution: Universidade de São Paulo (USP). Escola Superior de Agricultura Luiz de Queiroz (ESALA/BC)
Defense date:
Examining board members:
Julio Marcos Filho; Francisco Guilhien Gomes Júnior; Marco Eustaquio de Sa
Advisor: Julio Marcos Filho
Abstract

This study aimed to evaluate the efficiency of seedling digital image analysis (Seedling Vigor Imaging System® - SVIS®) to determine the physiological quality of cucumber seed lots, compared to information provided by vigor tests recommended for this species. Research comprised three evaluation times with a threemonth interval. Physiological quality determination comprised germination, germination first count, traditional and saturated salt accelerated aging, seedling length and seedling emergence tests. Results obtained were compared to data by the evaluation using the software Seedling Vigor Imaging System (SVIS®); in this system, seedlings were scanned and the image analysis made possible to obtain values of the primary root, hypocotyl and seedling lengths in addition to a vigor index and uniformity of seedling of development. It also studied the importance of the contribution of growth intensity and uniformity to compose the value of the vigor index calculated by the software. It was concluded that digital image analysis of seedlings is a consistent and promising alternative to provide reliable information of cucumber seed physiological quality, comparable to those from traditional tests. Analyses by SVIS ® of four-day old seedlings are more accurate, and the proportion growth/uniformity in the composition of the vigor index does not affect the accuracy of determining the physiological quality of cucumber seeds by analyses SVIS®. (AU)

FAPESP's process: 09/03453-0 - ASSESSMENT THE POTENTIAL PHYSIOLOGICAL SEED OF CUCUMBER SYSTEM USING DIGITAL IMAGE ANALYSIS SEEDLING(SVIS), COMPARED TO TRADITIONAL PROCEDURES.
Grantee:Adrielle Aparecida Chiquito
Support Opportunities: Scholarships in Brazil - Master