Federico Dicenta

From Phenomics to Genomics: Macro-GWAS of Almond Morphology and Quality

This study integrates high-throughput phenomics and genomics to identify marker-trait associations and candidate genes for almond morphology and quality traits.

Dissecting the genetic architecture of flowering and maturity time in almond (Prunus dulcis): heritability estimates and breeding value predictions from historical data

This study estimates heritability and breeding values for flowering and maturity time in almond using historical data and Bayesian models to improve breeding strategies.

Open RGB Imaging Workflow for Morphological and Morphometric Analysis of Fruits using AI: A Case Study on Almonds.

The paper develops an open Python workflow using AI to analyze fruit morphology and morphometric traits in almonds, identifying new heritable traits for improved breeding strategies.

PEDIGREE ANALYSIS OF 222 ALMOND GENOTYPES REVEALS TWO WORLD MAINSTREAM BREEDING LINES BASED ON ONLY THREE DIFFERENT CULTIVARS

The paper analyzes pedigree data of 222 almond genotypes to identify two main breeding lines derived from three cultivars, highlighting genetic diversity and inbreeding trends across global breeding programs.