Effect of temperament on milk yield, lactation length, physico-chemical properties and somatic cell count of Lacaune ewes were evaluated. The investigation was carried out at a sheep farm in the county of Győr-Moson-Sopron. The temperament of 106 Lacaune ewes was measured by the temperament 5-point-scale test (1=very nervous, 5=very quiet) during milking. Furthermore, 42 ewes were randomly selected from a herd of 106 animals for the analysis of milk composition (fat, protein and lactose), pH, electrical conductivity as well as somatic cell count. It was found that the temperament had a significant effect on lactation length and lactation milk production, lactose, electrical conductivity and somatic cell count. Calm ewes had significantly longer lactation (4 score: 220.7 day; 5 score: 201.4 day) as well as higher milk production (4 score: 207.9 kg; 5 score: 193.3 kg) compared to more temperamental animals (2+3 scores: 166.5 day and 135.5 kg; P<0.05). The content of lactose was significantly lower (4.32) in the more temperamental group, while electrical conductivity was higher (4.81 mS cm^-1) compared to calmer animals (4.69 % and 4.16 mS cm^-1). Additionally, significant differences were found in milk somatic cell count among the temperament categories. Calmer ewes had a lower somatic cell count in milk (5.17 log cm^-3) than more temperamental ones (5.67 log cm^-3; P<0.05).

Our genome-wide association study identified single-nucleotide polymorphisms (SNPs) associated with estimated breeding values (EBVs) for udder traits and longevity in Holstein-Friesian cows. While no SNP was individually associated with multiple EBVs, the functional profiles of the associated genes revealed overlapping biological processes across traits, including cell signaling, transcription regulation, immune response, metabolism, and cellular maintenance. Notably, nearby SNPs BTB-01738708 and ARS-BFGL-NGS-111478 were associated with EBVlongevity and EBVudder and located near numerous genes, including GPR85, BMT2, IFRD1, and DOCK4, suggesting a potential for shared genetic influence on these traits. Our findings provide insights into the complex genetic architecture of these economically important traits and highlight the need for further research, including fine-mapping and functional genomics, to elucidate the specific variants and their effects.