Academic Journal

Genomic predicted cross performance: a tool for optimizing parental combinations in breeding programs

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Genomic predicted cross performance: a tool for optimizing parental combinations in breeding programs
Συγγραφείς: Nyaga, C., Labroo, M.R., Agre, A.P., Asfaw, A., Wolfe, M.D., Tecle, I.Y., Mueller, L.A.
Πηγή: Nyaga, C., Labroo, M.R., Paterne, A., Asfaw, A., Wolfe, M.D., Tecle, I.Y. & Mueller, L.A. (2025). Genomic predicted cross performance: a tool for optimizing parental combinations in breeding programs. Database - The Journal of Biological Databases and Curatio, 2025: baaf074, 1-10.
Στοιχεία εκδότη: Oxford University Press
Έτος έκδοσης: 2026
Συλλογή: CGIAR CGSpace (Consultative Group on International Agricultural Research)
Θεματικοί όροι: genomics, breeding, crossbreeding
Περιγραφή: Background Genomic prediction is an effective method for shortening breeding cycles and accelerating genetic gains. Traditionally, genomic prediction has focused on estimating ‘additive’ breeding values for individual genotypes. However, for many breeding programmes, predicting the cross-performance of parental combinations may provide greater value. Results We present the genomic predicted cross-performance (GPCP) tool, which utilizes a mixed linear model based on additive and directional dominance. This tool is available within the BreedBase environment and as an R package. We assessed its effectiveness against classical genomic estimated breeding values (GEBVs) using simulated traits that exhibit varying dominance effects and on four yam traits. The GPCP tool proved superior to traditional methods for traits with significant dominance effects, effectively identifying optimal parental combinations and enhancing crossing strategies. This article outlines how the tool is implemented and emphasizes situations where predicting cross-performance is more advantageous than depending solely on GEBVs. Conclusions The GPCP tool provides a robust solution for predicting cross-performance, offering significant advantages for breeding programmes targeting traits influenced by dominance. It is particularly useful for clonally propagated crops, where inbreeding depression and heterosis are prevalent and reciprocal recurrent selection is impractical.
Τύπος εγγράφου: article in journal/newspaper
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: https://hdl.handle.net/10568/181665
Διαθεσιμότητα: https://hdl.handle.net/10568/181665
Rights: Open Access
Αριθμός Καταχώρησης: edsbas.B958393F
Βάση Δεδομένων: BASE