Autor(es)

Franca-Silva, Fabiano ; Gomes-Junior, Francisco Guilhien ; Rego, Carlos Henrique Queiroz ; Marassi, Agide Gimenez ; Tannus, Alberto

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF SEED SCIENCE; v. 45, p. 16-pg., 2023-01-01.

Resumo

Among grain-producing species, soybean is one of the most important commodities, with increasing demand for production in coming years. Evaluation of soybean seed quality is fundamental for ensuring maximum germination and yield potential. Therefore, effective methods are necessary for examining different properties associated with physical-chemical, physiological, and seed-health changes that affect seed quality. This review focuses on the fundamental principles and on the application of techniques of radiographic imaging, magnetic resonance imaging, multispectral imagining, chlorophyll fluorescence imaging, and infrared thermography to evaluate changes related to loss of soybean seed quality, such as mechanical injury, injury caused by insects, embryonic malformation, and incomplete maturation. Computerized seedling image analysis is also presented for evaluation of seed lot vigor. The examples presented here show the potential of these image analysis techniques for identifying different types of injuries and increasing the efficiency of in-house quality control programs in soybean seed production companies. (AU)

• Processo FAPESP: 18/03802-4 - EMU concedido no processo 2017/15220-7: sistema de imagem VideoMeterLab
• Beneficiário: Clíssia Barboza Mastrangelo
• Modalidade de apoio: Auxílio à Pesquisa - Programa Equipamentos Multiusuários
• Processo FAPESP: 15/24008-6 - Desenvolvimento de técnicas de análise de imagens para avaliação do vigor e da morfologia interna de sementes
• Beneficiário: Francisco Guilhien Gomes Junior
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• 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