Author
KWS Saat (Germany)
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
5 papers
Recent·Most cited
Harimurti Buntaran, Angela-Maria Bernal-Vasquez, Andrés Gordillo, Morten Sahr, Valentin Wimmer, Hans‐Peter Piepho
This paper uses simulation to address two key questions in plant breeding: the number of entries needed to select the best one with a defined probability and the probability of selecting the top entries when some are chosen.
Theoretical and Applied Genetics · Jul 13, 2022Peer-reviewedGenetics
S. Thorn, Andrew Whalen, Sonja Kollers, Mahmood Gholami, Helena Sofia da Silva, Valentin Wimmer, John M. Hickey
The paper demonstrates accurate genetic imputation in maize, sugar beet, and wheat without pedigrees, outperforming Beagle 5.1 in most scenarios.
bioRxiv · Dec 1, 2021 · PreprintGenetics
Vincent Garin, Valentin Wimmer, Dietrich Borchardt, Marcos Malosetti, Fred A. van Eeuwijk
This study simulates QTL detection in multi-parent populations of sugar beet, finding that fewer, larger crosses improve detection power, while more parents help detect rare alleles with large effects when population size increases.
BMC Genomic Data · Feb 3, 2021Peer-reviewedGenetics
Serap Gonen, Valentin Wimmer, R. Chris Gaynor, Ed Byrne, Gregor Gorjanc, John M. Hickey
The paper introduces a method to phase and impute genotypes of missing parents in bi-parental plant populations, achieving high accuracy for both parents and their descendants.
Crop Science · Nov 23, 2020Peer-reviewedGenetics
Serap Gonen, Valentin Wimmer, R. Chris Gaynor, Ed Byrne, Gregor Gorjanc, John M. Hickey
This paper introduces AlphaPlantImpute, a heuristic method for phasing and imputing SNP data in bi-parental plant populations, showing better accuracy and efficiency than existing software.
Theoretical and Applied Genetics · Aug 4, 2018Peer-reviewedGenomics