Abstract Key Message Genomic prediction using the Brassica 60 k genotyping array is
efficient in oilseed rape hybrids. Prediction accuracy is more dependent on trait complexity …

Genomic selection employs genome‐wide marker data to predict genomic breeding values.
In this study, a population consisting of 391 lines of elite winter oilseed rape derived from …

Genomics-based prediction of hybrid performance promises to boost selection gain. The
main goal of our study was to investigate the relevance of additive, dominance, and epistatic …

Hybrid breeding in barley (Hordeum vulgare L.) offers great opportunities to accelerate the
rate of genetic improvement and to boost yield stability. A crucial requirement consists of the …

Key message Complementing or replacing genetic markers with transcriptomic data and use
of reproducing kernel Hilbert space regression based on Gaussian kernels increases hybrid …

Predicting single‐cross performance is of high importance to improve the efficiency of
sunflower (H elianthus annuus L.) hybrid breeding programmes. We used experimental data …

Improving seed oil yield and quality are central targets in rapeseed (Brassica napus)
breeding. The primary goal of our study was to examine and compare the potential and the …

Traits with a complex unknown genetic architecture are common in breeding programs.
However, they pose a challenge for selection due to a combination of complex …

The utilization of heterosis is a successful strategy in increasing yield for many crops.
However, it consumes tremendous manpower to test the combining ability of the parents in …

Maize (Zea mays L.) breeders evaluate many single-cross hybrids each year in multiple
environments. Our objective was to determine the usefulness of genomewide predictions …