Leopoldo Sánchez

Development of the 4TREE SNP array, a forest multispecies array to enhance European Breeding and conservation programs in pine, poplar and ash.

The paper develops a 4TREE SNP array for three forest tree species to support breeding and conservation programs.

Drought-Induced Epigenetic Memory in the cambium of Poplar Trees persists and primes future stress responses

This study investigates drought-induced epigenetic memory in poplar trees, showing persistent molecular changes and distinct adaptive strategies between genotypes.

Natural variation in chalcone isomerase defines a major locus controlling radial stem growth variation among Populus nigra populations

Imputation strategy for population DNA methylation sequencing data

The paper compares imputation methods for targeted DNA methylation sequencing data in poplar and oak, finding NIPALS, MissForest, and LOESS as the most accurate.

Integrating environmental gradients into breeding: application of genomic reactions norms in a perennial species

The paper integrates environmental gradients into genomic evaluation using reaction norms to predict tree growth resilience under climate change.

The role of relatedness within a neighborhood in plant-to-plant interaction: effect on height growth and rust damage in Populus nigra

The paper examines how local relatedness affects tree height and rust damage in Populus nigra, finding that incorporating relatedness into genomic models improves rust resistance predictions but has limited overall effect.

Mate selection: a useful approach to maximize genetic gain and control inbreeding in genomic and conventional oil palm (Elaeis guineensis Jacq.) hybrid breeding

This paper compares mate selection strategies with conventional methods in oil palm breeding to reduce inbreeding and increase genetic progress using genomic selection simulations.

eQTLs are key players in the integration of genomic and transcriptomic data for phenotype prediction

The paper integrates genomic and transcriptomic data to predict phenotypes in poplar, finding that eQTLs influence predictability and that beneficial integration reduces predictor redundancy.

To what extent gene connectivity within co-expression network matters for phenotype prediction?

The paper assesses whether gene connectivity in co-expression networks improves phenotype prediction, finding that core genes, though more differentiated, do not systematically predict traits better than peripheral genes.

Sequence Imputation from Low Density Single Nucleotide Polymorphism Panel in a Black Poplar Breeding population

This study imputes low-density SNP panels to whole genome sequences in black poplar trees, achieving high accuracy and showing the impact of relatedness and SNP density on imputation quality.

Deciphering hybrid larch reaction norms using random regression

This study uses random regression to analyze reaction norms of hybrid larch traits in response to water availability, finding hybrids to be more plastic than parental species.