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