Dynamic imaging in pollen morphology

Abstract

The performance of domestic agriculture and the food industry is constantly increasing. Demand for food is growing on the global market, with domestic food export growing by 10% in 2019. However, there are still reserves in exploiting the growth path and transforming it into income. Efficiency, revenue and profit growth of each product line depends on numerous factors; one of the key tools being the monitoring of the production process, getting to know the production environment accurately, data collecting, database building, development of applications that support automated interventions and decisions, and integration the above tools. The fundamental objective goal of the presented research is to approach the research of maize pollen cells as an agriculturally relevant model organism from a new direction, the long-term (Time-Lapse System) microscopic study of the growth dynamics of the pollen germ tube. In the scope of the research, two industrially and agriculturally important aspects taken into account, which also detected digitally: the growth of the maize pollen germ tube and the viability of the pollen. The research can provide a basis for the more accurate understanding and subsequent study of the effects of different biotic and abiotic stress factors on pollen growth, and may open up new possibilities in the field of digital agricultural biotechnology.