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Influence of meteorological elements on behavioral responses of gir cows and effects on milk quality
Silva, Marcos Vinícius da; Almeida, Gledson Luiz Pontes de; Pandorfi, Héliton; Moraes, Alex Souza; Macêdo, Gleidiana Amélia Pontes de Almeida; Batista, Pedro Henrique Dias; Silva, Rodes Angelo Batista da; Quiselini, Cristiane.
Afiliação
  • Silva, Marcos Vinícius da; Universidade Federal Rural de Pernambuco. Departamento de Engenharia Agrícola. Recife. Brasil
  • Almeida, Gledson Luiz Pontes de; Universidade Federal Rural de Pernambuco. Departamento de Engenharia Agrícola. Recife. Brasil
  • Pandorfi, Héliton; Universidade Federal Rural de Pernambuco. Departamento de Engenharia Agrícola. Recife. Brasil
  • Moraes, Alex Souza; Universidade Federal Rural de Pernambuco. Departamento de Química. Recife. Brasil
  • Macêdo, Gleidiana Amélia Pontes de Almeida; Universidade Federal Rural de Pernambuco. Departamento de Zootecnia. Recife. Brasil
  • Batista, Pedro Henrique Dias; Universidade Federal Rural de Pernambuco. Departamento de Engenharia Agrícola. Recife. Brasil
  • Silva, Rodes Angelo Batista da; Universidade Federal Rural de Pernambuco. Departamento de Engenharia Agrícola. Recife. Brasil
  • Quiselini, Cristiane; Universidade Federal Rural de Pernambuco. Departamento de Engenharia Agrícola. Recife. Brasil
Acta Sci. Anim. Sci. ; 43: e52604, ago. 2021. tab, graf, mapas
Article em En | VETINDEX | ID: vti-32247
Biblioteca responsável: BR68.1
Localização: BR68.1
ABSTRACT
This study aimed to analyze the principal componentsof the meteorological variables, physiological and behavioral response of cowssubjected to different coolingtimes and their influence on milk quality, in the dryand rainfallperiods, and to establish multiple regression models for milk quality. The data used in the study came from an experiment conducted in the Agreste Region of Pernambuco.The pre-milking coolingtime was 10, 20, 30 min.and the control (without cooling). Sixteen multiparous lactating Gir cows were selected. Data were analyzed by principal component analysis and a multiple regression analysis was applied to determine milk quality. There was a strong relationship between somatic cell count (SCC) and activity of the animal in the shade for dry,and lying for rainfall, with increased SCC in cow milk. It was possible to establish two multiple regression models to determine milk quality in dryand rainfall periods. According to the principal component analysis, the coolingtime tomeet the thermal requirement of the animals was 20 min., regardless of the season and milking shift.(AU)
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Texto completo: 1 Base de dados: VETINDEX Idioma: En Revista: Acta Sci. Anim. Sci. / Acta sci., Anim. sci Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: VETINDEX Idioma: En Revista: Acta Sci. Anim. Sci. / Acta sci., Anim. sci Ano de publicação: 2021 Tipo de documento: Article