Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2024
Authors
Isabella BørjaAbstract
No abstract has been registered
Authors
Jorunn BørveAbstract
No abstract has been registered
Authors
Jorunn BørveAbstract
No abstract has been registered
Authors
Fernanda Leiva Florent Abdelghafour Muath K Alsheikh Nina Elisabeth Nagy Jahn Davik Aakash ChawadeAbstract
Common scab (CS) is a major bacterial disease causing lesions on potato tubers, degrading their appearance and reducing their market value. To accurately grade scab-infected potato tubers, this study introduces “ScabyNet”, an image processing approach combining color-morphology analysis with deep learning techniques. ScabyNet estimates tuber quality traits and accurately detects and quantifies CS severity levels from color images. It is presented as a standalone application with a graphical user interface comprising two main modules. One module identifies and separates tubers on images and estimates quality-related morphological features. In addition, it enables the extraction of tubers as standard tiles for the deep-learning module. The deep-learning module detects and quantifies the scab infection into five severity classes related to the relative infected area. The analysis was performed on a dataset of 7154 images of individual tiles collected from field and glasshouse experiments. Combining the two modules yields essential parameters for quality and disease inspection. The first module simplifies imaging by replacing the region proposal step of instance segmentation networks. Furthermore, the approach is an operational tool for an affordable phenotyping system that selects scab-resistant genotypes while maintaining their market standards.
Authors
Martin S. Mullett Anna R. Harris Bruno Scanu Kris Van Poucke Jared LeBoldus Elizabeth Stamm Tyler B. Bourret Petya K. Christova Jonás Oliva Miguel A. Redondo Venche Talgø Tamara Corcobado Ivan Milenković Marília Horta Jung Joan Webber Kurt Heungens Thomas JungAbstract
Phytophthora pseudosyringae is a self-fertile pathogen of woody plants, particularly associated with tree species from the genera Fagus, Notholithocarpus, Nothofagus and Quercus, which is found across Europe and in parts of North America and Chile. It can behave as a soil pathogen infecting roots and the stem collar region, as well as an aerial pathogen infecting leaves, twigs and stem barks, causing particular damage in the United Kingdom and western North America. The population structure, migration and potential outcrossing of a worldwide collection of isolates were investigated using genotyping-by-sequencing. Coalescent-based migration analysis revealed that the North American population originated from Europe. Historical gene flow has occurred between the continents in both directions to some extent, yet contemporary migration is overwhelmingly from Europe to North America. Two broad population clusters dominate the global population of the pathogen, with a subgroup derived from one of the main clusters found only in western North America. Index of association and network analyses indicate an influential level of outcrossing has occurred in this preferentially inbreeding, homothallic oomycete. Outcrossing between the two main population clusters has created distinct subgroups of admixed individuals that are, however, less common than the main population clusters. Differences in life history traits between the two main population clusters should be further investigated together with virulence and host range tests to evaluate the risk each population poses to natural environments worldwide.
Authors
Daniele Prodorutti Nadia Vendrame Emanuela Coller Dino Zardi Arne Stensvand Vincent Philion Ilaria PertotAbstract
No abstract has been registered
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Arne StensvandAbstract
No abstract has been registered
Authors
Daniele Prodorutti Riccardo Bugiani Vincent Philion Arne Stensvand Emanuela Coller Clelia Tosi Claudio Rizzi Gino Angeli Ilaria PertotAbstract
No abstract has been registered
Authors
Arne StensvandAbstract
No abstract has been registered
Authors
Arne StensvandAbstract
No abstract has been registered