Genetic evaluation of sheep for resistance to gastrointestinal nematodes and body size including genomic information

Author:

Torres Tatiana SaraivaORCID,Sena Luciano SilvaORCID,Santos Gleyson Vieira dosORCID,Figueiredo Filho Luiz Antonio SilvaORCID,Barbosa Bruna LimaORCID,Júnior Antônio de SousaORCID,Britto Fábio BarrosORCID,Sarmento José Lindenberg RochaORCID

Abstract

Objective: The genetic evaluation of Santa Inês sheep was performed for resistance to gastrointestinal nematode infection (RGNI) and body size using different relationship matrices to assess the efficiency of including genomic information in the analyses.Methods: There were 1,637 animals in the pedigree and 500, 980, and 980 records of RGNI, thoracic depth (TD), and rump height (RH), respectively. The genomic data consisted of 42,748 SNPs and 388 samples genotyped with the OvineSNP50 BeadChip. The (co)variance components were estimated in single- and multi-trait analyses using the numerator relationship matrix (A) and the hybrid matrix H, which blends A with the genomic relationship matrix (G). The BLUP and single-step genomic BLUP methods were used. The accuracies of estimated breeding values and Spearman rank correlation were also used to assess the feasibility of incorporating genomic information in the analyses.Results: The heritability estimates ranged from 0.11±0.07, for TD (in single-trait analysis using the A matrix), to 0.38±0.08, for RH (using the H matrix in multi-trait analysis). The estimates of genetic correlation ranged from –0.65±0.31 to 0.59±0.19, using A, and from –0.42±0.30 to 0.57±0.16 using H. The gains in accuracy of estimated breeding values ranged from 2.22% to 75.00% with the inclusion of genomic information in the analyses.Conclusion: The inclusion of genomic information will benefit the direct selection for the traits in this study, especially RGNI and TD. More information is necessary to improve the understanding on the genetic relationship between resistance to nematode infection and body size in Santa Inês sheep. The genetic evaluation for the evaluated traits was more efficient when genomic information was included in the analyses.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

National Council for Scientific and Technological Development

Brazilian National Institute of Science and Technology in Animal Science

Federal University of Piauí

Foundation for Support to Research and Scientific and Technological Development of Maranhão

Publisher

Asian Australasian Association of Animal Production Societies

Subject

General Veterinary,Genetics,Animal Science and Zoology,Physiology,Food Science

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