Key message Integrating genomics technologies and breeding methods to tweak core
parameters of the breeder's equation could accelerate delivery of climate-resilient and …

Plant geneticists and breeders have used marker technology since the 1980s in quantitative
trait locus (QTL) identification. Marker-assisted selection is effective for large-effect QTL but …

The usefulness of genomic prediction (GP) for many animal and plant breeding programs
has been highlighted for many studies in the last 20 years. In maize breeding programs …

Genomic-enabled prediction models are of paramount importance for the successful
implementation of genomic selection (GS) based on breeding values. As opposed to animal …

The primary objective of this paper is to provide a guide on implementing Bayesian
generalized kernel regression methods for genomic prediction in the statistical software R …

Background Single-step genomic predictions obtained from a breeding value model require
calculating the inverse of the genomic relationship matrix (G-1). The Algorithm for Proven …

Temperature rise predicted for the future will severely affect rice productivity because the
crop is highly sensitive to heat stress at the reproductive stage. Breeding tolerant varieties is …

Motivation Untargeted metabolomics experiments rely on spectral libraries for structure
annotation, but these libraries are vastly incomplete; in silico methods search in structure …

Abstract Soybean [Glycine max (L.) Merr.] is a significant source of protein and oil and is also
widely used as animal feed. Thus, developing lines that are superior in terms of yield …

Plant metabolites are important traits for plant breeders seeking to improve nutrition and
agronomic performance yet integrating selection for metabolomic traits can be limited by …