Training Set Construction for Genomic Prediction in Auto-Tetraploids: An Example in Potato.

ABSTRACT: Training set construction is an important prerequisite to Genomic Prediction (GP), and while this has been studied in diploids, polyploids have not received the same attention. Polyploidy is a common feature in many crop plants, like for example banana and blueberry, but also potato which is the third most important crop in the world in terms of food consumption, after rice and wheat. The aim of this study was to investigate the impact of different training set construction methods using a publicly available diversity panel of tetraploid potatoes. Four methods of training set construction were compared: simple random sampling, stratified random sampling, genetic distance sampling and sampling based on the coefficient of determination (CDmean). For stratified random sampling, population str

SUBMITTER: Wilson S 

PROVIDER: S-EPMC8651708 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature