Affiliation:
1. Universidade Federal de Viçosa, Brazil
Abstract
Abstract: Automated analysis of seed vigor stands out by allowing greater accuracy, standardization, objectivity, and speed in evaluation of the physiological potential of seed lots. The objective of this study was to evaluate the efficiency of the Vigor-S® system in assessing the physiological quality of common bean seeds compared to the information provided by the traditional vigor tests recommended for this species. Four genotypes of common bean were used, each one represented by four seed lots. Characterization of the physiological potential of the lots was carried out by the following tests: germination, first count of germination, seedling emergence, accelerated aging, and electrical conductivity. The results of these tests were compared with the data obtained from the image analysis technique, specifically the Vigor-S® system, which was used to evaluate seedling growth at two, three, and four days after the beginning of the germination test. Shoot length, primary root length, and seedling length were measured, as well as the growth index, uniformity index, and vigor index were calculated. Computerized analysis of seedling images using the Vigor-S® software is a reliable alternative for evaluation the physiological potential of bean seeds, and it produces information similar to evaluations traditionally used for that purpose.
Subject
Agronomy and Crop Science
Reference29 articles.
1. Computerized image analysis of seedlings to evaluate broccoli seed vigor;ABUD H.F.;Journal of Seed Science,2017
2. Efeito do período de envelhecimento acelerado no teste de condutividade elétrica e na qualidade fisiológica de sementes de feijão;BINOTTI F.F.;Acta Scientiarum,2008
3. Regras para análise de sementes,2009
4. Instrução Normativa 45/2013, de 17 de setembro de 2013, Ministério da Agricultura, Pecuária e do Abastecimento (Anexo XI - Padrões para produção e comercialização de sementes de feijão). Brasília, DF: Diário Oficial da República Federativa do Brasil,2013
5. Seedling length in wheat determined by image processing using mathematical tools;BRUNES A.P.;Revista Ciência Agronômica,2016
Cited by
15 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献