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Research project (§ 26 & § 27)
Duration : 2021-09-01 - 2025-08-31

Agrobiodiversity is a vital subset of biodiversity and is the result of the interaction between the environment, genetic resources and management systems used by culturally diverse people. It is a crucial prerequisite for ecologically and economically sustainable agricultural systems and is an important tool for ecological intensification. The aim of CROPDIVA is to reinforce agrobiodiversity on different levels and along distinct geographic and socio-economic areas. The activities of CROPDIVA are clustered around five connected research work packages and three pillars, each with a set of specific objectives: i) promotion of six key underutilised arable crops: oats, hull-less barley, triticale, buckwheat, faba bean and lupin; ii) creation of value chains for selected underutilised crops; and iii) study of the socio-economic impact of project results. The concept of CROPDIVA is an innovative challenge driven approach based on the promotion of underutilised crops in sustainable cropping systems and new regional value chains. Project activities will focus on the following major challenges: improved resilience of cropping systems, alignment of the economic and social needs of farmers with ecological goals as well as marketing of new food/non-food products meeting consumer demands. The results gathered in CROPDIVA will not be descriptive, but will be used for innovative solutions along the entire food and non-food chain to enable biodiversity management on all levels, including diversifying the use of genetic resources, crop production systems, new food/non-food products, market opportunities while satisfying producers and investigated consumer requirements.
Research project (§ 26 & § 27)
Duration : 2019-11-01 - 2022-12-31

Genomic Selection (GS) has become a promising tool for enhancing gain by selection in plant and animal breeding. Still unsolved challenges remain, particularly to deal with disease resistance traits that are simultaneously governed by large effect, often epistatic genes and small effect, additive genes. Standard GS handles additive effects well, but has difficulties with epistatic gene effects. That is the core idea behind this project. By taking wheat as a case, we will apply our concept of intelligent genomic selection to two of the most devastating plant diseases affecting European wheat production - FHB and stripe rust. An interdisciplinary research environment will be sought by combining world-leading expertise in statistical modeling with leading groups in plant genomics and plant pathology and active collaboration with plant breeding companies. The project will as well provide training of postdocs and PhD students.
Research project (§ 26 & § 27)
Duration : 2019-12-01 - 2022-11-30

The main research aim in this project is to develop a genomic-assisted breeding scheme for the introgression of common bunt resistance alleles from non-adapted (‘exotic’) donor lines into regionally adapted germplasm. Time and resources needed for such a breeding goal shall be optimized by combining marker-assisted selection and genomic selection methods, utilizing extensive genetic fingerprinting data. Possibilities for future improvement will be identified by evaluation via an associated in silico simulation study.

Supervised Theses and Dissertations