Omics-based hybrid prediction in maize

Abstract

Complementing genomic data with other “omics” predictors can increase the probability of success for predicting the best hybrid combinations using complex agronomic traits. Accurate prediction of traits with complex genetic architecture is crucial for selecting superior candidates in animal and plant breeding and for guiding decisions in personalized… (More)
DOI: 10.1007/s00122-017-2934-0

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Cite this paper

@article{Westhues2017OmicsbasedHP, title={Omics-based hybrid prediction in maize}, author={Matthias Westhues and Tobias A Schrag and Claas Heuer and Georg Erwin Thaller and H. Friedrich Utz and Wolfgang Schipprack and A. Thiemann and Felix Seifert and Anita Ehret and Armin Schlereth and Mark Stitt and Zoran Nikoloski and Lothar Willmitzer and Chris C. Sch{\"{o}n and Stefan Scholten and Albrecht E Melchinger}, journal={Theoretical and Applied Genetics}, year={2017}, volume={130}, pages={1927-1939} }