ABSTRACT Genomic prediction in beef cattle is particularly challenging in breeds with limited phenotypic and genotypic data. In this context, multi‐breed methodologies that integrate information from genetically related populations have emerged as a promising strategy to improve prediction accuracy and calibration unde...
Gabriel Gubiani, L. Temp, M. Londoño-Gil et al.· Animal Genetics· 0 citations
High environmental temperatures and humidity during the summer period can impair thermoregulation in beef cattle, leading to increased core body temperatures, reduced production efficiency, and compromised animal welfare. Therefore, identifying and selecting animals capable of regulating body temperature more efficie...
Camila Santos, Jay S. Johnson, J. Maskal et al.· Journal of Animal Science· 0 citations
Cow longevity plays a major role in beef cattle industry profitability, reflecting the female’s ability to remain productive in the herd. In this context, longitudinal models as random regression models (RRM) are the preferred method for genetic evaluation as they account for genetic and environmental effects over time...
P. Ramos, S. Tsuruta, André Garcia et al.· Genetics Selection Evolution· 0 citations
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