{"id":{"repo_id":"guelph","oai_identifier":"oai:atrium.lib.uoguelph.ca:10214/28629"},"canonical_url":"https://search.dev.ndltd.org/etd/guelph/oai:atrium.lib.uoguelph.ca:10214/28629","repository":{"repo_id":"guelph","name":"University of Guelph","base_url":"https://atrium.lib.uoguelph.ca/server/oai/request"},"display":{"title":"The development of a Canadian resiliency index for dairy calf disease traits","abstract":"Dairy calf health and welfare is crucial for production efficiency and aligns with the increasing consumer interest in animal welfare. The primary health challenges for calves are diarrhea (DIAR) and respiratory problems (RESP). This thesis aimed to assess the impact of these diseases by estimating incidence rates, genetic parameters, genetic correlations with economically significant traits, and recording practices on Canadian dairy farms. Additionally, a genome-wide association study (GWAS) was conducted to identify genomic regions linked to calf disease traits, and the potential of incorporating indirect genetic effects (IGEs) into current quantitative approaches was explored. Heritability estimates ranged from 0.02 to 0.07 on the observed scale, with the highest values obtained from multiple trait analyses, reflecting a moderate to strong genetic correlation (0.62) between traits. Genetic correlations between calf disease and production, fertility, and health-related traits were generally close to zero, except for notable favorable correlations between RESP and both ketosis (0.66), and displaced abomasum (0.26). The GWAS identified 17 SNPs significantly associated with DIAR and 20 SNPs with RESP. Enrichment analysis highlighted seven candidate genes for DIAR (ACER3, CAPN5, ILK, LIPT2, PGM2L1, and PPME1) and four for RESP (SYNPO, DCTN4, ANXA6, and MYOZ3). The feasibility of IGEs was suggested, though further research is necessary for accurately estimating initial environmental pathogen levels and proper grouping of calves. The major limitation across studies is sparse and inconsistent data recording. Thus, it is vital for industry stakeholders to implement the findings to enhance the recording of phenotypes. Collaboration between industry, academia, veterinarians, and producers is essential to establish standardized recording practices and an efficient data pipeline for genetic evaluation centers, which is critical to successfully reducing calf disease on Canadian dairy herds.","abstract_html":"Dairy calf health and welfare is crucial for production efficiency and aligns with the increasing consumer interest in animal welfare. The primary health challenges for calves are diarrhea (DIAR) and respiratory problems (RESP). This thesis aimed to assess the impact of these diseases by estimating incidence rates, genetic parameters, genetic correlations with economically significant traits, and recording practices on Canadian dairy farms. Additionally, a genome-wide association study (GWAS) was conducted to identify genomic regions linked to calf disease traits, and the potential of incorporating indirect genetic effects (IGEs) into current quantitative approaches was explored. Heritability estimates ranged from 0.02 to 0.07 on the observed scale, with the highest values obtained from multiple trait analyses, reflecting a moderate to strong genetic correlation (0.62) between traits. Genetic correlations between calf disease and production, fertility, and health-related traits were generally close to zero, except for notable favorable correlations between RESP and both ketosis (0.66), and displaced abomasum (0.26). The GWAS identified 17 SNPs significantly associated with DIAR and 20 SNPs with RESP. Enrichment analysis highlighted seven candidate genes for DIAR (ACER3, CAPN5, ILK, LIPT2, PGM2L1, and PPME1) and four for RESP (SYNPO, DCTN4, ANXA6, and MYOZ3). The feasibility of IGEs was suggested, though further research is necessary for accurately estimating initial environmental pathogen levels and proper grouping of calves. The major limitation across studies is sparse and inconsistent data recording. Thus, it is vital for industry stakeholders to implement the findings to enhance the recording of phenotypes. Collaboration between industry, academia, veterinarians, and producers is essential to establish standardized recording practices and an efficient data pipeline for genetic evaluation centers, which is critical to successfully reducing calf disease on Canadian dairy herds.","abstract_has_math":false,"creators":["Lynch, Colin"],"institution":"University of Guelph","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Baes, Christine"],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-08-21T16:45:04Z","subjects":["dairy cattle","calf disease","genetic evaluation","GWAS","indirect genetic effects"],"languages":["en"],"rights":["Attribution 4.0 International"],"rights_urls":["http://creativecommons.org/licenses/by/4.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10214/28629","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"source_record":{"url":"https://atrium.lib.uoguelph.ca/server/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Aatrium.lib.uoguelph.ca%3A10214%2F28629","prefix":"dim"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Baes, Christine"]},{"key":"dc:creator","label":"Author","values":["Lynch, Colin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2024-09-12T17:15:36Z"]},{"key":"dc:publisher","label":"Institution","values":["University of Guelph"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["dairy cattle","calf disease","genetic evaluation","GWAS","indirect genetic effects"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Attribution 4.0 International"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://creativecommons.org/licenses/by/4.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10214/28629"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Dairy calf health and welfare is crucial for production efficiency and aligns with the increasing consumer interest in animal welfare. The primary health challenges for calves are diarrhea (DIAR) and respiratory problems (RESP). This thesis aimed to assess the impact of these diseases by estimating incidence rates, genetic parameters, genetic correlations with economically significant traits, and recording practices on Canadian dairy farms. Additionally, a genome-wide association study (GWAS) was conducted to identify genomic regions linked to calf disease traits, and the potential of incorporating indirect genetic effects (IGEs) into current quantitative approaches was explored. Heritability estimates ranged from 0.02 to 0.07 on the observed scale, with the highest values obtained from multiple trait analyses, reflecting a moderate to strong genetic correlation (0.62) between traits. Genetic correlations between calf disease and production, fertility, and health-related traits were generally close to zero, except for notable favorable correlations between RESP and both ketosis (0.66), and displaced abomasum (0.26). The GWAS identified 17 SNPs significantly associated with DIAR and 20 SNPs with RESP. Enrichment analysis highlighted seven candidate genes for DIAR (ACER3, CAPN5, ILK, LIPT2, PGM2L1, and PPME1) and four for RESP (SYNPO, DCTN4, ANXA6, and MYOZ3). The feasibility of IGEs was suggested, though further research is necessary for accurately estimating initial environmental pathogen levels and proper grouping of calves. The major limitation across studies is sparse and inconsistent data recording. Thus, it is vital for industry stakeholders to implement the findings to enhance the recording of phenotypes. Collaboration between industry, academia, veterinarians, and producers is essential to establish standardized recording practices and an efficient data pipeline for genetic evaluation centers, which is critical to successfully reducing calf disease on Canadian dairy herds."]},{"key":"dc:title","label":"Title","values":["The development of a Canadian resiliency index for dairy calf disease traits"]}]}],"canonical_facts":{"dc:contributor.advisor":["Baes, Christine"],"dc:creator":["Lynch, Colin"],"dc:date.accessioned":["2024-09-12T17:15:36Z"],"dc:description.abstract":["Dairy calf health and welfare is crucial for production efficiency and aligns with the increasing consumer interest in animal welfare. The primary health challenges for calves are diarrhea (DIAR) and respiratory problems (RESP). This thesis aimed to assess the impact of these diseases by estimating incidence rates, genetic parameters, genetic correlations with economically significant traits, and recording practices on Canadian dairy farms. Additionally, a genome-wide association study (GWAS) was conducted to identify genomic regions linked to calf disease traits, and the potential of incorporating indirect genetic effects (IGEs) into current quantitative approaches was explored. Heritability estimates ranged from 0.02 to 0.07 on the observed scale, with the highest values obtained from multiple trait analyses, reflecting a moderate to strong genetic correlation (0.62) between traits. Genetic correlations between calf disease and production, fertility, and health-related traits were generally close to zero, except for notable favorable correlations between RESP and both ketosis (0.66), and displaced abomasum (0.26). The GWAS identified 17 SNPs significantly associated with DIAR and 20 SNPs with RESP. Enrichment analysis highlighted seven candidate genes for DIAR (ACER3, CAPN5, ILK, LIPT2, PGM2L1, and PPME1) and four for RESP (SYNPO, DCTN4, ANXA6, and MYOZ3). The feasibility of IGEs was suggested, though further research is necessary for accurately estimating initial environmental pathogen levels and proper grouping of calves. The major limitation across studies is sparse and inconsistent data recording. Thus, it is vital for industry stakeholders to implement the findings to enhance the recording of phenotypes. Collaboration between industry, academia, veterinarians, and producers is essential to establish standardized recording practices and an efficient data pipeline for genetic evaluation centers, which is critical to successfully reducing calf disease on Canadian dairy herds."],"dc:identifier.uri":["https://hdl.handle.net/10214/28629"],"dc:language.iso":["en"],"dc:publisher":["University of Guelph"],"dc:rights":["Attribution 4.0 International"],"dc:rights.uri":["http://creativecommons.org/licenses/by/4.0/"],"dc:subject":["dairy cattle","calf disease","genetic evaluation","GWAS","indirect genetic effects"],"dc:title":["The development of a Canadian resiliency index for dairy calf disease traits"],"dc:type":["Thesis"]},"updated_at":"2026-08-21T16:45:04Z"}