Association of Phenotypic Markers of Heat Tolerance with Australian Genomic Estimated Breeding Values and Dairy Cattle Selection Indices

dc.contributor.authorOsei-Amponsah, R.
dc.contributor.authorDunshea, F.R.
dc.contributor.authorLeury, B.J.
dc.contributor.authorAbhijith, A.
dc.contributor.authorChauhan, S.S.
dc.date.accessioned2023-09-01T12:32:41Z
dc.date.available2023-09-01T12:32:41Z
dc.date.issued2023
dc.descriptionResearch Articleen_US
dc.description.abstractDairy cattle predicted by genomic breeding values to be heat tolerant are known to have less milk production decline and lower core body temperature increases in response to elevated temperatures. In a study conducted at the University of Melbourne’s Dookie Robotic Dairy Farm during summer, we identified the 20 most heat-susceptible and heat-tolerant cows in a herd of 150 Holstein Friesian lactating cows based on their phenotypic responses (changes in respiration rate, surface body temperature, panting score, and milk production). Hair samples were collected from the tip of the cows’ tails following standard genotyping protocols. The results indicated variation in feed saved and HT genomic estimated breeding values (GEBVs) (p ≤ 0.05) across age, indicating a potential for their selection. As expected, the thermotolerant group had higher GEBVs for HT and feed saved but lower values for milk production. In general, younger cows had superior GEBVs for the Balanced Performance Index (BPI) and Australian Selection Index (ASI), whilst older cows were superior in fertility, feed saved (FS), and HT. This study demonstrated highly significant (p ≤ 0.001) negative correlations (−0.28 to −0.74) between HT and GEBVs for current Australian dairy cattle selection indices (BPI, ASI, HWI) and significant (p ≤ 0.05) positive correlations between HT and GEBVs for traits like FS (0.45) and fertility (0.25). Genomic selection for HT will help improve cow efficiency and sustainability of dairy production under hot summer conditions. However, a more extensive study involving more lactating cows across multiple farms is recommended to confirm the associations between the phenotypic predictors of HT and GEBVs.en_US
dc.identifier.citationCitation: Osei-Amponsah, R.; Dunshea, F.R.; Leury, B.J.; Abhijith, A.; Chauhan, S.S. Association of Phenotypic Markers of Heat Tolerance with Australian Genomic Estimated Breeding Values and Dairy Cattle Selection Indices. Animals 2023, 13, 2259. https://doi.org/10.3390/ ani13142259en_US
dc.identifier.otherhttps://doi.org/10.3390/ ani13142259
dc.identifier.urihttp://ugspace.ug.edu.gh:8080/handle/123456789/39879
dc.language.isoenen_US
dc.publisherAnimalsen_US
dc.subjectgenomic selectionen_US
dc.subjectgenotypingen_US
dc.subjectheat stressen_US
dc.subjectrobotic dairyen_US
dc.subjectselection indexen_US
dc.titleAssociation of Phenotypic Markers of Heat Tolerance with Australian Genomic Estimated Breeding Values and Dairy Cattle Selection Indicesen_US
dc.typeArticleen_US

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