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June 15, 2026Journal of Dairy Research

Single-step Bayesian regression methods for genomic evaluation of milk yield of Murrah buffaloes - Erratum

Thalita Bianca Paiva Jose Deyvison Silva De Macedo Jáliston Júlio Lopes Alves Daniel Jordan de Abreu Santos Rusbel Raul Aspilcueta-Borquis Humberto Tonhati Francisco Ribeiro de Araújo Neto

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Key Points

This work addresses the implementation of Bayesian regression in genomic evaluations specific to milk yield in Murrah buffaloes.
Single-step Bayesian regression methods were applied for genomic evaluation.
The genomic data and milk yield records of Murrah buffaloes were analyzed.
Findings indicate improved accuracy in predicting milk yield through genomic evaluation methods.

Implication

Erratum to address findings on genomic evaluation methods for improving milk yield in Murrah buffaloes, suggesting enhanced methodologies.

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Cite This Study

Paiva et al. (2026) studied this question.

synapsesocial.com/papers/6a323aead50b63ecad205bf1 https://doi.org/10.1017/s0022029925101532

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