The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Breeding and management of major resistance genes to stem canker/blackleg in Brassica crops
Open accessPreprint — published as 10.1007/s00122-024-04641-w · Paper page
Abstract
Blackleg (also known as Phoma or stem canker) is a major, worldwide disease of Brassica crop species (e.g. oilseed rape, rapeseed, canola) caused by the ascomycete fungus Leptosphaeria maculans. The outbreak and severity of this disease depend on environmental conditions and management practices such as the use of fungicides and crop rotations, tilling, as well as a complex interaction between the pathogen and its hosts. Genetic resistance is a major method to control the disease (and the only control method in some parts of the world, such as continental Europe), but efficient use of genetic resistance is faced with many difficulties: (i) the scarcity of germplasm/genetic resources available, (ii) the different history of use of resistance genes in different parts of the world and the different populations of the fungus the resistance genes are exposed to, (iii) the complexity of the interactions between the plant and the pathogen, that expand beyond typical gene-for-gene interactions, (iv) the incredible evolutionary potential of the pathogen and the importance of knowing the molecular processes set up by the fungus to “breakdown’ resistances, so that we may design high-throughput diagnostic tools for population surveys, and (v) the different strategies and options to build up the best resistances and to manage them so that they are durable. In this paper, we aim to provide a comprehensive overview of these different points, stressing the differences between the different continents and the current prospects to generate new and durable resistances to blackleg disease.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Metadata
- Authors
- Vasquez-Teuber, P., Rouxel, T., Mason, A. S., & Soyer, J. L.
- Affiliations
- Justus Liebig University; University of Concepcion; University of Bonn
- Université Paris-Saclay (FR)
- University of Bonn (DE)
- Corresponding author
- Mason, Annaliese S.
- Soyer, Jessica L.
- Venue
- Theoretical and Applied Genetics
- Published
- 2023-08-10
- Volume
- 137
- Issue
- 8
- Pages
- 192-192
- ISSN
- 0040-5752 (ISSN-L)
- PMC
- PMC11272824
- OpenAlex
- W4400997292
- Cited by
- 19
- References
- 1
- Citations by year
- 2026: 11 · 2025: 8
- FWCI
- 0.71
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Theoretical and Applied Genetics (publishedVersion, cc-by)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by)
- Funders
- Deutscher Akademischer Austauschdienst
- Deutsche Forschungsgemeinschaft (EXC-2070, 390732324)
- Agence Nationale de la Recherche (ANR–17–EUR–0007, ANR-17-EUR, ANR-17, 17-EUR-0007)
- Universidad de Concepción
- Rheinische Friedrich-Wilhelms-Universität Bonn
- Comisión Nacional de Investigación Científica y Tecnológica
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Disease Resistance and Genetics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant pathogens and resistance mechanisms
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Wheat and Barley Genetics and Pathology
- Keywords
- blackleg, stem canker, Leptosphaeria maculans, Brassica napus, disease resistance genes, durable resistance, gene-for-gene interaction, pathogen evolution, resistance breakdown, disease management, germplasm resources, disease resistance breeding
- MeSH terms
- Plant Breeding, Leptosphaeria, Brassica, Plant Diseases, Genes, Plant, Crops, Agricultural, Brassica napus, Disease Resistance
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.