| Popis: |
Considerable efforts have been made during the last decades to develop HTphenotyping platforms, resulting in massive numbers of images and image sequences of plantroot systems. However, the information content of these images is largely underexploited asavailable image analysis tools are restricted to a handful of morphological features and AIdepends on the availability of accurate ground truth information. In this presentation, weshow how focusing our attention on root tips, which are the generators of root architecture,opens alternative routes to unlock architectural information from root system image series.The extraction of time series of root tip features is a routine and quick operation, and theresulting dataset can be mined in different ways. Methods inspired from tip tracking can beused to reconstruct vectorized root systems with temporal information on individualsegments. Tips can also be considered as samples that can be analysed with spatial statisticalmethods or used to parameterize density or structural root architecture models. We illustratethe latter route with a collection of 150K images of 500 wheat genotypes, acquired during HTphenotyping experiments. From a dataset containing the time series of tip coordinates, wehave estimated in R several key parameters of two root architectural models, ArchiSimple andRootTyp. We found significant genotypic differences for several of these parameters, eventhough broad-sense heritabilities tends to be low. Finally, shifting our focus from an imageanalysis problem to a data mining one was also an opportunity to get closer to our scientificobject. |
