There is tremendous interest in using association mapping to identify genes responsible for
quantitative variation of complex traits with agricultural and evolutionary importance. Recent …

The goal of many plant scientists' research is to explain natural phenotypic variation in terms
of simple changes in DNA sequence. Traditionally, linkage mapping has been the most …

We investigated the genetic and statistical properties of the nested association mapping
(NAM) design currently being implemented in maize (26 diverse founders and 5000 distinct …

Improved genotypes developed by plant breeding remain pivotal to global food security. In
the wake of ever-increasing human population, declining agricultural resources and the …

Genetic architecture refers to the numbers and genome locations of genes that affect a trait,
the magnitude of their effects, and the relative contributions of additive, dominant, and …

We compared the accuracies of four genomic-selection prediction methods as affected by
marker density, level of linkage disequilibrium (LD), quantitative trait locus (QTL) number …

Detection of quantitative trait loci (QTL) in breeding populations offers the advantage that
these QTL are of direct relevance for the improvement of crops via knowledge-based …

To exploit the diversity in Arabidopsis thaliana, eight founder accessions were crossed to
produce six recombinant inbred line (RIL) subpopulations, together called an Arabidopsis …

The efficiency of marker-assisted prediction of phenotypes has been studied intensively for
different types of plant breeding populations. However, one remaining question is how to …

Genomic selection (GS) increases genetic gain by reducing the length of the selection cycle,
as has been exemplified in maize using rapid cycling recombination of biparental …