IJMZ_2024v14n1

International Journal of Molecular Zoology 2024, Vol.14, No.1, 44-53 http://animalscipublisher.com/index.php/ijmz 48 Figure 1 Manhattan plot of the survival rate of cows under complex diseases (Freebern et al., 2019) Note: Manhattan plots for hypocalcemia (CALC), displaced abomasum (DSAB), ketosis (KETO), mastitis (MAST), metritis (METR), retained placenta (RETP) and cow livability. The genome-wide threshold (red line) corresponds to the Bonferroni correction In the genetic research of behavioral traits in livestock, the application of whole genome association analysis (GWAS) has successfully identified multiple key genes and genetic variations related to important behavioral traits. These findings are of great value for a deeper understanding of the genetic basis and biological significance of behavioral traits in livestock. Genome-Wide Association Analysis (GWAS) has made remarkable progress in unraveling the genetic basis of behavioral traits in livestock, and the key genes and genetic variants identified not only increase the understanding of the mechanisms of genetic regulation of these traits, but also provide a scientific basis for future genetic improvement and welfare enhancement. These findings demonstrate the potential of modern genetics in analyzing the molecular mechanisms behind complex traits, and open up new avenues for sustained improvements in livestock productivity and animal welfare.

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