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Genomic-enabled prediction based on molecular markers and pedigree using the Bayesian linear regression package in R
The availability of dense molecular markers has made possible the use of genomic selection in plant and animal breeding. However, models for genomic selection pose several computational and statistical challenges and require ...
Classifying vegetable genetic resources - A case study with domesticated Capsicum spp.
Great variation for many traits seems to be available in Capsicum genetic resources but yet to be fully used by plant breeders. Adequate characterization of genebank accessions is needed to facilitate the utilization of ...
Using factor analytic models for joining environments and genotypes without crossover genotype x environment interaction
Genotype x environment interaction variability can be due to crossover interaction (COI) or to non-COI. Statistical methods for detecting and quantifying COI and for forming subsets of environments and/or genotypes with ...
Generalizing the sites regression model to three-way interaction including multi-attributes
When a multienvironment trial (MET) is established across several locations and years, the interaction is referred to as a three-way array. Three-way interaction can be studied by means of three-way principal components ...
Core Hunter: an algorithm for sampling genetic resources based on multiple genetic measures
BACKGROUND: Existing algorithms and methods for forming diverse core subsets currently address either allele representativeness (breeder's preference) or allele richness (taxonomist's preference). The main objective of ...
Hierarchical multiple-factor analysis for classifying genotypes based on phenotypic and genetic data
A numerical classification problem encountered by breeders and gene-bank curators is how to partition the original heterogeneous population of genotypes into non-overlapping homogeneous subpopulations. The measure of ...