Vincent Garin

Factors Influencing Phenomic Prediction: A Case Study on a Large Sorghum BCNAM Population

This study evaluates phenomic prediction in sorghum breeding, showing it can compete with genomic prediction and is less affected by population structure, though trait-dependent and requiring further optimization.

Performance of phenomic selection in rice: effects of population size and genotype-environment interactions on predictive ability

This paper evaluates phenomic prediction (PP) accuracy in rice breeding, finding that multi-environment data improve PP performance, making it comparable to genomic prediction (GP) when all genotypes have NIRS measurements.

Characterization of adaptation mechanisms in sorghum using a multi-reference back-cross nested association mapping design and envirotyping

This paper develops a BCNAM population and methodology to identify QTLs influencing flowering time and plant height in sorghum across diverse environments.

The influence of QTL allelic diversity on QTL detection in multi-parent populations: a simulation study in sugar beet

This study simulates QTL detection in multi-parent populations of sugar beet, finding that fewer, larger crosses improve detection power, while more parents help detect rare alleles with large effects when population size increases.

The usefulness of multi-parent multi-environment QTL analysis: an illustration in different NAM populations

The paper introduces methods to analyze multi-parent multi-environment QTL data, showing they better estimate QTL effects across environments and sub-populations than single-environment analyses.