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

Abstract Background Several conventional genomic Bayesian (or no Bayesian) prediction
methods have been proposed including the standard additive genetic effect model for which …

Genome-wide association study (GWAS) and genomic prediction/selection (GP/GS) are the
two essential enterprises in genomic research. Due to the great magnitude and complexity …

Although hybrid crop varieties are among the most popular agricultural innovations, the
rationale for hybrid crop breeding is sometimes misunderstood. Hybrid breeding is slower …

De seu início rudimentar, com a seleção de sementes pelos primeiros agricultores, às mais
novas técnicas com o uso da biotecnologia, como marcadores moleculares …

Most traits of agronomic importance are quantitative in nature, and genetic markers have
been used for decades to dissect such traits. Recently, genomic selection has earned …

Many important traits in plant breeding are polygenic and therefore recalcitrant to traditional
marker‐assisted selection. Genomic selection addresses this complexity by including all …

The goals of quantitative genetics differ according to its field of application. In plant breeding,
the main focus of quantitative genetics is on identifying candidates with the best genotypic …

Best linear unbiased prediction (BLUP) is a standard method for estimating random effects
of a mixed model. This method was originally developed in animal breeding for estimation of …

Substantial advances have been made in the genetic improvement of agriculturally
important animal and plant populations through artificial selection on quantitative traits. Most …