Development of a health subindex for genetic selection of bulls and cows in Canadian dairy operations

This study presents the development of an updated health subindex (HSI) for genetic selection in Canadian Holstein dairy cattle, aimed at enhancing the genetic progress for health-related traits. The HSI was independently designed as part of a broader revision of the Lifetime Performance Index (LPI) and includes mastitis resistance (MR), metabolic disease resistance (MDR), fertility disorders (FD), hoof health (HH), and calf health (CH). The index was constructed by calculating trait-specific economic values, a transformation to relative breeding value units, and index testing using a dataset of 830 Holstein bulls with high genetic reliability. Economic weights were derived by integrating biological and economic data, including veterinarian examination costs, treatment costs, milk loss, and labor, and then adjusted for discounted genetic expressions to reflect trait expression timing and frequency. The final HSI showed moderate correlation with the previous health and fertility subindex (r = 0.61) and low correlation with other LPI components, indicating its distinct selection focus. The final percent emphasis of each trait in the HSI is 36.3% for MR, 31.9% for CH, 12.3% for MDR, 9.8% for FD, and 9.6% for HH. Selection response analysis revealed significant genetic gains in MR and CH when using the HSI for selection, demonstrating the subindex's potential to improve health outcomes in dairy herds. The HSI offers Canadian dairy producers a targeted tool for breeding healthier Holsteins, supported by updated economic and biological data and industry feedback.

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Publication Details

Journal
JDS Communications
Published
2025-12-02
DOI
https://doi.org/10.3168/jdsc.2025-0875
Citations
1
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
1.82
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article

Development of a health subindex for genetic selection of bulls and cows in Canadian dairy operations

C. Jaton, Natalie L. Howes, C.M. Richardson, Christine F. Baes et al.
1 citations
JDS Communications
Genetic and phenotypic traits in livestock
1.82
article

Development of a health subindex for genetic selection of bulls and cows in Canadian dairy operations

C. Jaton, Natalie L. Howes, C.M. Richardson, Christine F. Baes, F. Miglior, P.R. Amer, Douglas W. Bjelland, A. Fleming, John J. Crowley
article en
1 citations

Abstract

This study presents the development of an updated health subindex (HSI) for genetic selection in Canadian Holstein dairy cattle, aimed at enhancing the genetic progress for health-related traits. The HSI was independently designed as part of a broader revision of the Lifetime Performance Index (LPI) and includes mastitis resistance (MR), metabolic disease resistance (MDR), fertility disorders (FD), hoof health (HH), and calf health (CH). The index was constructed by calculating trait-specific economic values, a transformation to relative breeding value units, and index testing using a dataset of 830 Holstein bulls with high genetic reliability. Economic weights were derived by integrating biological and economic data, including veterinarian examination costs, treatment costs, milk loss, and labor, and then adjusted for discounted genetic expressions to reflect trait expression timing and frequency. The final HSI showed moderate correlation with the previous health and fertility subindex (r = 0.61) and low correlation with other LPI components, indicating its distinct selection focus. The final percent emphasis of each trait in the HSI is 36.3% for MR, 31.9% for CH, 12.3% for MDR, 9.8% for FD, and 9.6% for HH. Selection response analysis revealed significant genetic gains in MR and CH when using the HSI for selection, demonstrating the subindex's potential to improve health outcomes in dairy herds. The HSI offers Canadian dairy producers a targeted tool for breeding healthier Holsteins, supported by updated economic and biological data and industry feedback.

JDS CommunicationsVol. 7(2)
Proteus (New Zealand) (NZ), University of Guelph (CA)
Openalex Percentile: Top 11%
Genetic and phenotypic traits in livestock
1.82
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