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.
The objective of this study was to estimate the variance components and
genetic parameters as well as to predict breeding values for resistance
to endoparasite in Anglo Nubian goats, with repeatability model in
single-trait analysis, with inclusion of genomic information. Records of
body condition score (BCS), FAMACHA, eggs per gram of feces (EPG)
treated by the logarithmic transformations scale L EPG
= log (EPG + 1), and resistance to worms (RW) were used as traits
associated with resistance to worms. A total of 89 animals were
genotyped with Bead Chip Goats SNP50. There was little variation in
variance component estimates and in heritability and repeatability
values with the inclusion of the genomic information. The use of genomic
information provided increased accuracy for all traits, providing gains
in accuracy of up to 50% for the trait EPG. The use of genomic
information improved the predictive ability of the models and,
consequently, more reliable genetic parameters were estimated for traits
associated with resistance to infections caused by endoparasites in
Anglo Nubian goats.
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