selected publications
-
article
- Identification of candidate genes for LepR1 resistance against Leptosphaeria maculans in Brassica napus. Frontiers in Plant Science. 2023
- Machine learning models outperform deep learning models, provide interpretation and facilitate feature selection for soybean trait prediction. BMC Plant Biology. 2022
- Plant Genotype to Phenotype Prediction Using Machine Learning. Frontiers in Genetics. 2022
- Modelling of gene loss propensity in the pangenomes of three Brassica species suggests different mechanisms between polyploids and diploids. Plant Biotechnology Journal. 2021
- QTL Genetic Mapping Study for Traits Affecting Meal Quality in Winter Oilseed Rape (Brassica Napus L.). Genes. 2021
- Status and advances in mining for blackleg (Leptosphaeria maculans) quantitative resistance (QR) in oilseed rape (Brassica napus). Theoretical and Applied Genetics. 2021
- The application of pangenomics and machine learning in genomic selection in plants. Plant Genome. 2021
- Climate change and the need for agricultural adaptation. Current Opinion in Plant Biology. 2020
-
chapter
- Bioinformatics and plant breeding. Quantitative genetics, genomics and plant breeding. 2020
- Method for Genome-Wide Association Study. Methods in Molecular Biology. 2020
-
document