Dynamic Analysis of Leaf Growth in Sugar Beet F1s Using UAV over Breeding Research Field

For High-throughput phenotyping by using Agri-big data on field level, it will be expected to open the next door of plant breeding. In sugar beet, it is important first step to capture correctly for leaf elongation and expansion pattern and speed in early stage. It would strongly connect yield performance. Although plant breeders could aware of such dynamics of foliar plant shapes in various environments, it is still difficult to describe logically and to validate on stereotyped data. In fact, it is very laborious and fractious tasks for such investigation. If it can be predicted accurately as numerical data such as foliar size, LAI, CGR and so on from large platform at the same time, it might be useful information to solve genetic x environment interaction of year by year and field by field.

 UAV technology can easily provide us as nuerous images of growth record of plants in a field. So, we tried to reconstruct as 3D image by using digital image analysis captured image files. Those were created numerical data of PVC (percentage of vegetational cover) and DSM (digital surface model) of each plot, consistently. Here we conducted dynamic analysis for combination of F1 of inbred lines in sugar beet.