10.5522/04/11925780.v1 Michael Scott Michael Scott Nick Fradgley Nick Fradgley Alison Bentley Alison Bentley James Cockram James Cockram Keith Gardener Keith Gardener Phil Howell Phil Howell Ian Mackay Ian Mackay Ana Sanchez Ana Sanchez Richard Mott Richard Mott Rakesh Kumar Singh Rakesh Kumar Singh Hei Leung Hei Leung Funmi Ladejobi Funmi Ladejobi Imputation and QTL Mapping in Multiparental Crop Populations from Low Coverage Sequence Data University College London 2020 imputation multiparental populations QTL mapping Low coverage whole genome sequencing (LC WGS) Plant Biology Genomics Bioinformatics Crop and Pasture Improvement (Selection and Breeding) 2020-03-05 10:47:07 Poster https://rdr.ucl.ac.uk/articles/poster/Imputation_and_QTL_Mapping_in_Multiparental_Crop_Populations_from_Low_Coverage_Sequence_Data/11925780 Posters describing the use of low-coverage sequence data to impute genotypes in multiparental populations of wheat and rice. The posters also show results from an integrated pipeline for haplotype-based and SNP-based QTL mapping in these populations