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Author

J. Crossa

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Open access Sep 2026

Genomic selection using random regression to predict hybrid performance in untested environments by leveraging environmental data

Genotype‐by‐environment interaction (G×E) remains one of the major challenges to achieving genetic gains in tropical maize ( Zea mays L.) breeding. To address this, we implemented the geographic information system–factor analytic (GIS‐FA) framework, which integrates factor‐analytic (FA) models with environmental...

Thiago C. Brommonschenkel, M. Pastina, Márcio F. R. Resende et al. · 0 citations
Open access Sep 2026

AI Agents and Agentic AI in plant breeding: new frontiers, opportunities and challenges

It is hypothesize that AI Agents and Agentic AI systems, which autonomously execute tasks using reasoning, memory, and tool integration, may orchestrate complex breeding objectives by coordinating specialized agents across multiple data domains.

P. Vitale, D. Acharya, G. Gerard et al. · 0 citations
Open access Sep 2026

Sparse phenotyping for wheat grain yield enabled by multiomics prediction

Abstract Grain yield is a central target in wheat breeding, yet accurately predicting it remains challenging because it depends on many genes and responds strongly to environmental variation. Genomic selection (GS) has improved breeding efficiency by enabling genome‐based prediction of genetic merit, but predictability...

G. Gerard, V. Govindan, Susanna Dreisigacker et al. · 0 citations
Open access Aug 2026

The Role of Prior-Induced Regularization in Accuracy and Stability of Genomic Prediction Across Unimodal and Multimodal Models

Results show that the principal empirical contrast is the presence versus absence of effective prior-induced regularization, rather than a universal ranking of Bayesian prior families, rather than a universal ranking of Bayesian prior families.

O. Montesinos-López, José Elías Peregrina-Chavarría, A. Montesinos-López et al. · 0 citations
Open access Aug 2026

A Public Mid-Density Genotyping Platform for Genomic Selection in Wheat

The results suggest that, in elite wheat germplasm characterized by long-range linkage disequilibrium and strong realized genomic relationships, medium-density targeted genotyping platforms can retain most of the predictability achieved by higher-density systems.

Susanna Dreisigacker, Pacome Judon, Leonardo Abdiel Crespo Herrera et al. · 0 citations
Review Open access Aug 2026

Advances in predictive breeding for wheat: concepts, methods, and applications

Wheat is one of the world’s main crops. Its improvement is pivotal given the threat of climate change and the growing population. However, enhancing breeding efficiency and improving wheat are challenging due to strong genotype-by-environment (G×E) interactions and the biological complexity underlying the wheat genome...

P. Vitale, K. Ammar, Flávio Breseghello et al. · 0 citations

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