Daniel Ortíz-Barrientos

The paper examines genomic adaptation to aridity in Eucalyptus, finding non-convergent genetic routes despite shared linked selection mechanisms.

The paper introduces an additivity index [A]g to quantify local fitness landscape curvature and identifies additive channels where linear genetic predictions are effective for short-term evolutionary response.

The paper analyzes directional heritability across trait directions and shows how matrix geometry influences evolutionary constraint using empirical G-P matrix data.

Retriever enables genotype imputation without external reference panels by constructing chimeric reference panels from target samples, achieving over 95% accuracy across diverse species.

The paper shows that ecological divergence and mutation-order processes together drive reproductive isolation in the Senecio lautus species complex through parallel mosaic speciation.

This study shows that gene regulatory network structure affects adaptation under low recombination, with some networks maintaining robustness and genetic variance.

This study identifies chromosomal inversions in mango genomes and shows they accumulate both deleterious and favorable loci, impacting breeding traits.

The paper introduces hypergraphs and centrality measures to identify key features in gene expression data using Senecio lautus plant data.

easyfm provides a user-friendly GUI tool for manipulating NGS files, enabling reproducible analysis without HPC or internet dependency.

The paper explores using crop models as gene-to-phenotype link functions to optimize selection in plant breeding programs by integrating quantitative genetic theory and trait modeling.