Genetic Markers Associated with Milk Production and Thermotolerance in Holstein Dairy Cows Managed in a Heat-Stressed Environment
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Dairy production in Holstein cows in a semiarid environment is challenging due to heat stress. Under such conditions, genetic selection for heat tolerance appears to be a useful strategy. The objective was to validate molecular markers associated with milk production and thermotolerance traits in Holstein cows managed in a hot and humid environment. Lactating cows ( = 300) exposed to a heat stress environment were genotyped using a medium-density array including 53,218 SNPs. A genome-wide association study (GWAS) detected six SNPs associated with total milk yield (MY305) that surpassed multiple testing ( < 1.14 × 10). These SNPs were further validated in 216 Holstein cows from two independent populations that were genotyped using the TaqMan bi-allelic discrimination method and qPCR. In these cows, only the SNPs rs8193046, rs43410971, and rs382039214, within the genes , , and , respectively, were associated ( < 0.05) with MY305, rectal temperature (RT), and respiratory rate. Interestingly, these variables improved as the number of favorable genotypes of the SNPs increased from 0 to 3. In addition, a regression analysis detected RT as a significant predictor (R = 0.362) for MY305 in cows with >1 favorable genotype, suggesting this close relationship was influenced by genetic markers. In conclusion, SNPs in the genes , , and appear to be involved in the molecular mechanism that regulates milk production in cows under heat-stressed conditions. These SNPs are proposed as thermotolerance genetic markers for a selection program to improve the milk performance of lactating Holstein cows managed in a semiarid environment.
Ma K, Li X, Ma S, Zhang M, Wang D, Xu L Int J Mol Sci. 2025; 26(5).
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Kalaignazhal G, Sejian V, Velayudhan S, Mishra C, Rebez E, Chauhan S Vet Sci. 2024; 11(12).
PMID: 39728955 PMC: 11680151. DOI: 10.3390/vetsci11120616.
Rekik B, Mestawet T, Girma A, Seid M, Besufekad J, Meseret S Int J Genomics. 2024; 2024:1472779.
PMID: 39473539 PMC: 11519051. DOI: 10.1155/2024/1472779.
Contreras-Mendez L, Medrano J, Thomas M, Enns R, Speidel S, Luna-Nevarez G Animals (Basel). 2024; 14(2).
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Laodim T, Koonawootrittriron S, Elzo M, Suwanasopee T, Jattawa D, Sarakul M Anim Biosci. 2023; 37(4):576-590.
PMID: 37946425 PMC: 10915225. DOI: 10.5713/ab.23.0246.