Manje Gowda

W., M.Gowda, M. K.Amadu, et al. 2026. “Yield Performance, Combining Ability and Stability of Early- to Medium-Maturing Doubled-Haploid Maize Lines in Eastern Africa.” Plant Breeding1–16. Mwangangi, https://doi.org/10.1111/pbr.70072. Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The datasets generated and analysed during this study are available in the .

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Abstract Genomic prediction models are often calibrated using multi-generation data. Over time, as data accumulates, training data sets become increasingly heterogeneous. Differences in allele frequency and linkage disequilibrium patterns between the training and prediction genotypes may limit prediction accuracy. This leads to the question of whether all available data or a subset of it should be used to calibrate genomic prediction models.