Influ?ncia de infesta??es parasit?rias nos ?ndices zoot?cnicos de bovinos leiteiros de diferentes grupamentos gen?ticos

• Autor(a) principal: Brito, Guilherme Rodrigues
• Data de Publicação: 2009
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UFRRJ
• Texto Completo: https://tede.ufrrj.br/jspui/handle/tede/782
• topic: ectoparasitos; produ??o leiteira; an?lise multivariada; ectoparasites; milk production; multivariate analysis; Medicina Veterin?ria

The dairy cattle is an activity of great value of agricultural sector and perform important function in economic and social development of Brazil. Of health and zootechnical viewpoint, milk production is full of challenges, it is necessary studies to correlate various factors that may constitute limits to growth in dairy sector. The research aimed to correlate seven variables: the milk s production, the parasitic infestation by Haematobia irritans, Rhipicephalus (Boophilus) microplus and larvae of Dermatobia hominis; the body condition score, the genetic group and order of birth in mixed race Holstein female, belonging to the Company for Agricultural Research of Rio de Janeiro State - Experimental Station of Serop?dica - RJ. Were used 58 lactating animals Holstein x Zebu between november 2007 to october 2008. The weights of production of milk, the counts of ectoparasites and evaluate of body condition scores were taken every seven days. The genetic group and order of birth were obtained from files of Company. For statistical analysis of data, was proceed the Pearson Correlation (P <0.05) and multivariate analysis using the technique of principal components. We observed a positive correlation between milk production and number of flies, milk production and number of Dermatobia larvae and milk production and order of birth of animals. The variable of body condition score had negative correlation with number of ticks and positive correlation with the genetic group and order of birth. There was positive correlation between the number of flies and order of birth of animals. Among the variables number of ticks and genetic group the correlation was negative. The application of multifactorial analysis using the principal components F1 and F2 confirmed the Pearson correlations allowing a proper interpretation of results.