María José Aranzana

This study investigates fruit shape regulation in peach and apple by analyzing OFP expression patterns and hormone interactions, revealing conserved regulatory circuits.

WISER improves breeding value estimation by addressing population structure and genotype-environment confounding through spectral whitening, outperforming LS-means and BLUP across multiple species and traits.

WISER improves phenotype estimation in omics studies by correcting population structure, outperforming LS and BLUP across multiple species and datasets.

This study applies statistical and deep learning models to multi-environmental genomic prediction in apple, showing improved predictive ability for certain traits.

This paper performs GWAS on apple fruit size and shape traits using the Apple REFPOP collection, identifying SNPs and candidate genes associated with these traits.

The paper improves CRISPR-Cas9 enrichment with long-read sequencing to characterize complex genomic regions, identifying SNPs and SVs in the MYB10 gene cluster of Prunus salicina.

The paper identifies an LTR retrotransposon in the promoter of PsMYB10.2 gene that explains red flesh color in Japanese plum and develops a molecular marker for marker-assisted selection.

This study examines the genetic architecture and genomic prediction accuracy of 30 apple quantitative traits across six European locations, identifying novel associations and demonstrating the impact of genotype by environment interactions.