Supporting Data for: A comparative analysis of goat milk quality on Norwegian farms with focus on somatic cell count and seasonal variation

DOI

Somatic cell count (SCC) is used as an indicator of milk quality and udder health in dairy goats, although its interpretation is complicated by non-infectious causes, including seasonality, farm-specific practices, and physiological factors. This study analyzed 868 milk samples from nine Norwegian dairy goat farms to investigate the interplay between SCC, individual bacterial count (IBC), and milk composition. Samples were collected on three occasions during the lactation period (early, mid, and late lactation). The results showed that SCC peaked in the pasture period and then decreased but remained elevated in late lactation. IBC showed a positive correlation with higher SCC levels, although this correlation varied significantly across different farms and time periods. The presence of intramammary infections only partially explained the varying correlation between SCC and bacterial counts. This indicates that the relationship between SCC and IBC is influenced not only by infections but also by management practices, environmental conditions, and other farm-level factors. The study revealed a co-variation between SCC and other milk components according to the lactation stage and season. Furthermore, the investigation of factors influencing the interplay between SCC and IBC provides a deeper understanding of SCC as a milk quality indicator in dairy goats.

RStudio, 2025.05.0 Build 496

Identifier
DOI https://doi.org/10.18710/AHZ3VD
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/AHZ3VD
Provenance
Creator Desidera, Francesca ORCID logo
Publisher DataverseNO
Contributor Porcellato, Davide; Norwegian University of Life Sciences (NMBU)
Publication Year 2025
Funding Reference The Research Council of Norway 320834
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Porcellato, Davide (Norwegian University of Life Sciences (NMBU))
Representation
Resource Type Chimical analyses outputs; Dataset
Format text/plain; application/pdf
Size 7979; 232584
Version 1.0
Discipline Chemistry; Life Sciences; Medicine; Natural Sciences