ArticleJournal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie2026
Better Multi-Breed Genomic Predictions for Tropical Bull Fertility Using a Breed-Adjusted Genomic Relationship Matrix.
Article in Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The pressing requirement for agricultural systems to adopt climate change adaptation strategies specifically designed for tropical environments underscores the significance of implementing sustainable bull breeding practices in beef cattle operations. We consider alternative approaches to generation of single- and multi-breed genomic predictions for a population of Brahman (N = 1051), Santa Gertrudis (N = 929) and UltraBlack (N = 844) bulls with genotypes at high-density and phenotypes for scrotal circumference (SCC; mean ± SD = 31.82 ± 4.32 cm), sheath score (SHS; 3.70 ± 1.98) and percent normal sperm (PNS; 63.34% ± 28.22%). We examined five genomic prediction models: three single breed and two multi-breed. The later contained a multi-breed genomic relationship matrix computed without (GRM_u) or adjusting (GRM_a) for breed-specific allele frequencies. Bias, dispersion and accuracy of the genomic predictions across the five models was computed based on cross-validation and using the LR method. The elements of the multi-breed GRM_u revealed anomalies including a multi-modal distribution of diagonal and off-diagonal elements with all diagonal values above one (range: 1.022 to 1.524) and averaging 1.163. Instead, GRM_a values were consistent with expectations: diagonals with a single mass around one (range: 0.844 to 1.391) and off-diagonal values with a single mass around zero. Estimates of heritability (h
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