Roberto Fritsche‐Neto

Optimizing Pickling Cucumber ( Cucumis sativus L.) Multi‐Environment Trial Networks Using Envirotyping, Production Importance and Future Climate Projections

ABSTRACT Multi‐environment trials (METs) are essential in breeding programmes to identify high‐performing and stable genotypes across different environments. However, trial sites are often chosen based on convenience rather than representativeness, which leads to reduced relevanc...

Combining genomic prediction and multi-trait indices through stochastic simulations: do index type and deployment order affect genetic gain?

Abstract Genomic selection (GS) has transformed plant breeding by enabling early selection and potentially reducing cycle length, but how to integrate GS with classical multi-trait selection indices remains unclear. We used stochastic simulations to compare seven strategies combi...