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Integrating genomic additive relationship matrices improves the efficiency in diploid banana breeding.

Article scientifique 2026 Anglais

Résumé

) parents, generated at the International Institute of Tropical Agriculture in Arusha. The genomic-based relationship matrices were constructed using a set of 2792 filtered single-nucleotide polymorphism markers. Additive variance and heritability derived from G-BLUP and H-BLUP models reduced bias compared to the P-BLUP model. The H-BLUP estimated the highest prediction accuracies for yield-related and cycling traits, while the P-BLUP model had the highest prediction accuracy estimates for agronomic traits. The use of marker-based models enhances the accuracy of predicting breeding values, contributing to accurate estimates of genetic gain while paving a way for further genomic exploration in diploid banana breeding programs.

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Akech, V., Swennen, R., Bengtsson, T., Ortiz, R., Bayo, S., Vuylsteke, M., Uwimana, B., Brown, A. (2026). Integrating genomic additive relationship matrices improves the efficiency in diploid banana breeding.. https://doi.org/10.1093/hr/uhag139

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Auteur(s)

Violet Akech Rony Swennen Therése Bengtsson Rodomiro Ortiz Stanley Bayo Marnik Vuylsteke Brigitte Uwimana Allan Brown

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