Flowering time adaptation is a major breeding goal in the allopolyploid species Brassica
napus. To investigate the genetic architecture of flowering time, a genome-wide association …

Evidence that genomic selection (GS) is a technology that is revolutionizing plant breeding
continues to grow. However, it is very well documented that its success strongly depends on …

In maize, doubled haploid (DH) line production capacity of large-sized maize breeding
programs often exceeds the capacity to phenotypically evaluate the complete set of testcross …

Genomic selection (GS) is transforming the field of plant breeding and implementing models
that improve prediction accuracy for complex traits is needed. Analytical methods for …

Genomic selection has become a reality in plant breeding programs with the reduction in
genotyping costs. Especially in maize breeding programs, it emerges as a promising tool for …

Multi-environment trials are routinely conducted in plant breeding to select candidates for
the next selection cycle. In this study, we compare the prediction accuracy of four developed …

The aim of this study was to perform genome-wide selection using a set of Dart-seq markers
associated to the additive-dominant genomic best linear unbiased prediction (GBLUP) …

In a rapidly changing climate, flowering time (FL) adaptation is important to maximize seed
yield in flax (Linum usitatissimum L.). However, our understanding of the genetic mechanism …

The prediction accuracy of multi-environment prediction models can be affected by the
complexity of the genotype by environment interaction (G× E). Moreover, depending on the …

The first paradigm of plant breeding involves direct selection-based phenotypic observation,
followed by predictive breeding using statistical models for quantitative traits constructed …