Prediction of hybrid performance in maize with a ridge regression model employed to DNA markers and mRNA transcription profiles.

ABSTRACT:

Background

Ridge regression models can be used for predicting heterosis and hybrid performance. Their application to mRNA transcription profiles has not yet been investigated. Our objective was to compare the prediction accuracy of models employing mRNA transcription profiles with that of models employing genome-wide markers using a data set of 98 maize hybrids from a breeding program.

Results

We predicted hybrid performance and mid-parent heterosis for grain yield and grain dry matter content and employed cross validation to assess the prediction accuracy. Prediction with a ridge regression model using random effects for mRNA transcription profiles resulted in similar prediction accuracies than employing the model to DNA markers. For hybrids, of which none of the parental i

SUBMITTER: Zenke-Philippi C 

PROVIDER: S-EPMC4812617 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature