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Genetic parameters, GWAS and selection perspective on gestation length in 16 French cattle breeds. | LitMetric

AI Article Synopsis

  • - The study analyzed gestation length (GL) across 16 cattle breeds using extensive databases, finding breed averages varying from 279.7 days in Holsteins to 294.4 days in Blonde d'Aquitaine, with standard deviations ranging between 5.2 to 5.8 days.
  • - It determined moderate to high direct heritability for calf traits related to GL (0.40 to 0.67), but low maternal heritability (0.04 to 0.06), indicating that calf traits influence GL more than the mother's traits.
  • - The research linked extreme breeding values for GL to higher mortality rates in newborn calves and milk production in mothers, revealing several quantitative trait loci (

Article Abstract

In this paper, we present a comprehensive study of gestation length (GL) in 16 cattle breeds by using large genotype and animal record databases. Data included over 20 million gestations since 2000 and genotypes from one million calves. The study addressed the GL variability within and between breeds, estimation of its direct and maternal heritability coefficients, association with fitness and several economic traits, and QTL detection. The breed average GL varied from 279.7 to 294.4 d, in Holstein and Blonde d'Aquitaine breeds, respectively. Standard deviations per breed were similar and ranged from 5.2 to 5.8 d. Direct heritability (i.e., for GL defined as a trait of the calf) was moderate to high (h = 0.40 to 0.67), whereas the maternal heritability was low (0.04 to 0.06). Extreme breeding values for GL were strongly associated with a higher mortality during the first 2 d of life and were associated with milk production of dams for dairy breeds and precocity of females. Finally, several QTL were detected affecting GL with cumulated effects up to a few days, and at least 2 QTL were found to be shared between different breeds. Our study highlights the risks that would be associated with selection toward a reduced gestation length. Further genomic studies are needed to identify the causal variants, and their association with juvenile mortality and other economic traits.

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Source
http://dx.doi.org/10.3168/jds.2024-24736DOI Listing

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