Combining Genotypic, Phenotypic and Pedigree Information to Analyze Functional Traits in Dairy Cattle

dc.contributor.advisorS. Schenkel, Flavio
dc.contributor.authorRocha Guarini, Aline of Animal Biosciencesen_US of Guelphen_US of Philosophyen_US and Poultry Scienceen_US
dc.description.abstractReliabilities of genomic estimated breeding values (GEBV) for functional traits, e.g. health, fertility and reproduction, remain low compared to those for production in dairy cattle. This is likely because large training populations are required for evaluation of lowly heritable traits. Different strategies have been proposed to overcome this limitation, such as the use of genotyped cows, inclusion of external bulls (multi-trait across-country evaluation, MACE), and adoption of different methodologies, such as the simultaneous use of genotyped and non-genotyped animals, known as the single-step genomic BLUP (ssGBLUP). Thus, the main objectives of this thesis were to evaluate strategies for combining genotypic, phenotypic and pedigree information to analyze functional traits in Holstein cattle and investigate the effects of two deleterious recessive haplotypes (AH1 and AH2) on reproduction performance of Canadian Ayrshire cattle. Data for various functional traits recorded in Canada and MACE estimated breeding values were obtained from the Canadian Dairy Network (CDN, Guelph, Canada). Additionally, information of carriers and non-carriers bulls for AH1 and AH2 were used to investigate their effects on reproductive performance. Genomic predictions were obtained using multi-step and single-step GBLUP under different strategies, such as adding genotyped cows in the evaluation, integrating MACE information, blending traditional and genomic evaluations, and using different proportions of polygenic effect. A genome-wide association study and functional analyses were also performed for three fertility disorders, namely retained placenta, metritis and cystic ovaries. Genomic predictions for functional traits benefited greatly from simultaneous use of phenotypes, pedigree, and genotypes. Integration of MACE data using ssGBLUP yielded the highest reliabilities compared to other methods and also helped reduce bias of genomic predictions. Effects of AH1 and AH2 on reproductive performance of Canadian Ayrshire cattle were validated. A negative effect of AH1 on stillbirth rates was observed, whereas AH2 had a negative impact on 56-day non-return rate. These findings provide valuable information on strategies to more accurately predict GEBV for functional traits in dairy cattle by adopting ssGBLUP and different sources of domestic and foreign information. Biological understanding of reproductive disorders and validated lethal haplotypes affecting fertility will help enhance accuracy of selection and mating plans in the Canadian dairy cattle breeding programs.en_US
dc.description.sponsorshipAgriculture and Agri-Food Canada
dc.description.sponsorshipDairy Farmers of Canada
dc.description.sponsorshipCanadian Dairy Network
dc.description.sponsorshipCanadian Dairy Commission
dc.description.sponsorshipAgri-Science Clusters Initiative
dc.description.sponsorshipCAPES (Brazilian Federal Agency for Support and Evaluation of Graduate Education, Brazil)
dc.publisherUniversity of Guelphen_US
dc.rights.licenseAll items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectDairy Cattleen_US
dc.subjectGenomic predictionen_US
dc.subjectFunctional traitsen_US
dc.subjectSingle-step Genomic BLUPen_US
dc.titleCombining Genotypic, Phenotypic and Pedigree Information to Analyze Functional Traits in Dairy Cattleen_US


Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
2.03 MB
Adobe Portable Document Format
Thesis after correction