Dissimilarity based Partial Least Squares (DPLS) for genomic prediction from SNPs

Abstract

Genomic prediction (GP) allows breeders to select plants and animals based on their breeding potential for desirable traits, without lengthy and expensive field trials or progeny testing. We have proposed to use Dissimilarity-based Partial Least Squares (DPLS) for GP. As a case study, we use the DPLS approach to predict Bacterial wilt (BW) in tomatoes using… (More)
DOI: 10.1186/s12864-016-2651-0

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Cite this paper

@inproceedings{Singh2016DissimilarityBP, title={Dissimilarity based Partial Least Squares (DPLS) for genomic prediction from SNPs}, author={Priyanka Singh and Jasper Engel and Jeroen M. Jansen and Jorn R. de Haan and Lutgarde Maria Celina Buydens}, booktitle={BMC Genomics}, year={2016} }