Author

Roberto Fritsche-Neto

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Open access Sep 2026

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

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 combining Smith–Hazel (SH), Pesek–Baker (PB), and empi...

Roberto Fritsche-Neto, Lorena Gabriela Coelho Queiroz, J. Viana et al. · Theoretical and Applied Gene... · 0 citations

Open access Sep 2026

Integrating Multiple Disease-Related Traits Improves Phenotypic Stratification of Corn Stunt Tolerance in Tropical Maize

Corn stunt is one of the most important diseases affecting maize (Zea mays L.) production in tropical regions of the Americas. The disease is caused by a complex of pathogens transmitted by the corn leafhopper (Dalbulus maidis), and its predominantly quantitative inheritance complicates the identification of tolerant g...

Thiago Lima, D. D. Garbuglio, Júlio César DoVale et al. · Agronomy · 0 citations

Open access Jul 2026

Assessing the Role of Marker Density and Minor Allele Frequency on Machine Learning–Driven Genomic Selection Accuracy in Grapevine

The results suggest that compared with traditional GS models that rely on a genomic kinship matrix, ML-based approaches offer greater flexibility in feature reduction, and that GS integration is promising for enhancing breeding efficiency in grapevines.

F. R. Francisco, Geovani Luciano de Oliveira, Guilherme Francio Niederauer et al. · bioRxiv · 0 citations