Advances in imaging technologies for soybean seed analysis

Author(s)

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

• Document type: Journal article
• Source: JOURNAL OF SEED SCIENCE; v. 45, p. 16-pg., 2023-01-01.

Abstract

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)

• FAPESP's process: 18/03802-4 - Multi-user equipment approved in grant 2017/15220-7: imaging system VideoMeterLab
• Grantee: Clíssia Barboza Mastrangelo
• Support Opportunities: Multi-user Equipment Program
• FAPESP's process: 15/24008-6 - Development of imaging analysis techniques to assess the vigor and internal morphology of seeds
• Grantee: Francisco Guilhien Gomes Junior
• Support Opportunities: Regular Research Grants
• FAPESP's process: 18/13139-0 - Development of imaging analysis procedures to evaluate physical, chemical and physiological properties of seeds and seedlings
• Grantee: Francisco Guilhien Gomes Junior
• Support Opportunities: Research Grants - eScience and Data Science Program - Regular Program Grants