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Article

Genome-enabled prediction of indicator traits of resistance to gastrointestinal nematodes in sheep using parametric models and artificial neural networks.

Research in veterinary science - 1 Jan 2024

Freitas L A, Savegnago R P, Alves A A C, Stafuzza N B, Pedrosa V B, Rocha R A, Rosa G J M, Paz C C P

Abstract excerpt

This study aimed to assess the predictive ability of parametric models and artificial neural network method for genomic prediction of the following indicator traits of resistance to gastrointestinal nematodes in Santa Inês sheep: packed cell volume (PCV), fecal egg count (FEC), and Famacha© method (FAM). After quality control, the number of genotyped animals was 551 (PCV), 548 (FEC), and 565 (FAM), and 41,676...

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Identifiers

PMID: 38091815
DOI: 10.1016/j.rvsc.2023.105099

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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