Julio Isidro y Sánchez

MateR: a novel framework for computing the usefulness criterion and applying genomic mating

MateR computes a new usefulness criterion and diversity metric for genomic mating, improving accuracy in predicting family means and variances and tracking additive variation loss.

A pangenome and pantranscriptome of hexaploid oat

The paper presents a pangenome and pantranscriptome of hexaploid oat, describing gene expression diversity and structural genome variation across 33 accessions and six tissues.

Expanding the gain-variance Pareto via optimal recycling and genomic mating

This paper introduces an integrated genomic mating strategy that combines optimal recycling with genomic mating to enhance genetic diversity and gain efficiency in breeding programs.

Sparse Testing Designs for Optimizing Predictive Ability in Sugarcane Populations

This study uses sparse testing designs with genomic prediction models to optimize predictive accuracy for sugarcane traits across environments.

Adventures in Multi-Omics I: Combining heterogeneous data sets via relationships matrices

The paper proposes a covariance-based method to combine partially overlapping relationship matrices from heterogeneous omics datasets to improve data harmonization and genomic prediction.

Multi-objective optimized breeding strategies

The paper proposes multi-objective optimized breeding strategies to achieve sustainable genetic gains across multiple traits while controlling co-ancestry in plant and animal breeding programs.