Machine learning und deep learning for improving mycotoxin tolerance and fusarium resistance in oats
Abstract
Oats (Avena sativa L.) are an important crop in modern conventional and organic crop production systems. Nevertheless, the oats acreage in the European Union has decreased from about 3.1 million to 2.6 million hectares in recent years. With the decline in oat acreage in favour of other small-grain cereals such as wheat or maize, breeding activities in this traditional crop have also decreased. However, the cultivation of oats can significantly contribute to loosening crop rotation and increasing agrobiodiversity in farming, while oats are also considered a nutrient-rich food and feed. Saatzucht Edelhof, based in the Waldviertel, is a traditional Austrian plant breeding company that has been involved in oats breeding since the beginning of the 20th century and is currently the only breeder of new oat varieties in Austria. Through years of expanding and utilising the genetic diversity of its oat gene pool, Saatzucht Edelhof has a broad portfolio of modern oat varieties, both for the Austrian and international markets. There is therefore also considerable interest from foreign partner companies in Saatzucht Edelhof's oat varieties, and many varieties have already been registered in several European countries. With the increase in disease and pest pressure due to climate change and the striving towards a more sustainable agriculture with less agrochemical inputs such as fungicides, resistance breeding has become more and more a focus in recent years. Infection of oats used for food and feed by Fusarium fungi plays an especially important role: If oat panicles are infested with Fusarium graminearum during the flowering phase, a high concentration of fungal toxins (=mycotoxins) that are harmful to humans and animals can later be found in the harvested crop. The breeding of Fusarium-resistant oat varieties can thus be seen as a key technology to enable farmers to produce healthy and mycotoxin-free crops. However, the adequate assessment of Fusarium resistance in oats is a great challenge, e.g. due to the special flowering behaviour with a long and sequential flowering of the individual spikelets within each panicle. The OatToxLess project aims to develop the basis for the development of a scoring scheme for Fusarium resistance in oats and to investigate the possibility to use associated morphological traits as indirect selection. For this purpose, a panel of breeding lines and oat varieties will be investigated in a field trial to collect high quality data as a basis for developing an effective Fusarium screening method in oats in order to guide selection decisions in oat breeding programs.
- Oats
- Mykotoxin
- Fusarium
- Maschinelles Lernen
Project staff
Sebastian Michel
Dr. Sebastian Michel M.Sc.
sebastian.michel@boku.ac.at
Tel: +43 1 47654-97105
BOKU Project Leader
01.07.2022 - 30.06.2023
Hermann Bürstmayr
Univ.Prof. Dipl.-Ing. Dr.nat.techn. Hermann Bürstmayr
hermann.buerstmayr@boku.ac.at
Tel: +43 1 47654-97101, 97102
Project Staff
01.07.2022 - 30.06.2023
BOKU partners
External partners
Alumni Association Edelhof
none
coordinator