Relationship of total bacterial and somatic cell counts with milk production and composition – multivariate analysis

Fernanda Scolari Botton; Dileta Regina Moro Alessio; Marcos Busanello; Catia Letícia Corrêa Schneider; Fernanda Hammes Stroeher; Ione Maria Pereira Haygert-Velho

doi:10.4025/actascianimsci.v41i1.42568

Fernanda Scolari Botton Universidade Federal de Santa Maria
Dileta Regina Moro Alessio Universidade do Estado de Santa Catarina
Marcos Busanello Universidade de São Paulo http://orcid.org/0000-0002-7354-6026
Catia Letícia Corrêa Schneider Universidade Federal de Santa Maria http://orcid.org/0000-0001-9831-5024
Fernanda Hammes Stroeher Universidade Federal de Santa Maria http://orcid.org/0000-0002-4188-5971
Ione Maria Pereira Haygert-Velho Universidade Federal de Santa Maria http://orcid.org/0000-0002-6709-7340

DOI: https://doi.org/10.4025/actascianimsci.v41i1.42568

Palavras-chave: cluster analysis, factor analysis, Bos taurus, fat, lactose, protein.

Resumo

This study was realized to evaluate the monthly production, composition and quality of milk (total and defatted dry extract, lactose, fat and protein) and their relation to somatic cell count (SCC) and total bacterial count (TBC) using multivariate statistical analyses. The data are from a dairy farm for the period of two years (from January 2015 to December 2016). The SCC and TBC variables were transformed to somatic cell score (SCS) and log₁₀ (LogTBC). Factor analysis, discriminant analysis and cluster analysis were used. Through factor analysis, it was found two factors that together explained 69.5% of the total data variation. The first factor represented the inverse relationship between lactose versus fat and protein content, while the second factor represented the inverse relationship among monthly milk yield versus SCS and LogTBC. The discriminant analysis identified that lactose and protein contents and SCS were the variables that had the greatest participation in the separation of the groups formed by the cluster analysis. The groups differed mainly by the monthly production of milk, composition and SCS. Finally, there are important multivariate relations between the variables milk production, composition and quality.

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Biografia do Autor

Fernanda Scolari Botton, Universidade Federal de Santa Maria

Estudante de Zootecnia dedicando-se a estudos sobre a cadeia produtiva do leite.

Dileta Regina Moro Alessio, Universidade do Estado de Santa Catarina

Universidade do Estado de Santa Catarina - Pós-Graduação em Ciência Animal, Avenida Luiz de Camões 9020 , Lages, Santa Catarina 88520-000 -
Brazil

Marcos Busanello, Universidade de São Paulo

Universidade de Sao Paulo Escola Superior de Agricultura Luiz de Queiroz - Animal Science Department, 13418-900 , Piracicaba 13418-900 -Brazil

Catia Letícia Corrêa Schneider, Universidade Federal de Santa Maria

Universidade Federal de Santa Maria - Departamento de Zootecnia e Ciências Biológicas
Avenida Independência , Palmeira das Missões, Rio Grande do sul 98300000 - Brazil

Fernanda Hammes Stroeher, Universidade Federal de Santa Maria

Universidade Federal de Santa Maria, Universidade Federal de Santa Maria, Campus de Palmeira das Missões, Avenida Independência, 3751, 98.300-000, Palmeira das Missões, Rio Grande do Sul, Brasil , Palmeira das Missões 98.300-000 - Brazil

Ione Maria Pereira Haygert-Velho, Universidade Federal de Santa Maria

Universidade Federal de Santa Maria - Departamento de Zootecnia e Ciências Biológicas
Av. Independência 3751 , Palmeira das Missões, Rio Grande do Sul 98300-000 - Brazil

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