Manejo reprodutivo e sanitário na bacia leiteira da região central do Rio Grande do Sul

• Autor(a) principal: Fraga, Denize da Rosa
• Data de Publicação: 2010
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Manancial - Repositório Digital da UFSM
• Texto Completo: http://repositorio.ufsm.br/handle/1/10081
• topic: Bovinos de leite; Reprodução; Qualidade de leite; Contagem de células somáticas; Dairy cows; Reproduction; Milk quality; Somatic cell count; CNPQ::CIENCIAS AGRARIAS::MEDICINA VETERINARIA

The growth of the dairy production occurred from studies conducted with practical application in the farm. The aim of these studies was to evaluate the relationship of production systems with reproductive efficiency and milk quality of dairy cows in the central region of the RS/Brazil. In the first study, data from 150 holstein cows were investigated to detect the occurrence of postpartum disease within the first 45 days of lactation. Also, the effect of different production system levels highly specialized (n=50), specialized (n=50) and not specialized (n=50) and the pregnancy rate after the first artificial insemination (AI) were analyzed. Thirty-five percent (53/150) of females were diagnosed with postpartum disorders and 65% (97/150) remained healthy. At day 60 after AI, 41% (61/150) of the cows were pregnant. The occurrence of postpartum diseases decreased conception rate in the cows with post partum (P=0.0011) and only 30% (16/53) were pregnant at 60d. The pregnancy rate from all health cows was 46% (45/97). The two diseases with the highest incidence level were uterine infection (49%) and mastitis (30%).The combined conception rate of healthy cows from all systems was higher than those with postpartum disease (46.3% vs. 26.4%, P=0.0227). In all three systems, highly specialized, specialized, and not specialized, there was a correlation between sickness and the delay in conception (P=0.0018, P=0.0005 and P=0.0140), respectively. None of the production systems effectively reduced the occurrence of postpartum disease. These analyze of milk samples were collected from milk tanks (n=69) and from individual cows (n=3517) on highly specialized (HS, n=3), specialized (S, n=5) and not specialized (NS, n=7) production systems. Composition, somatic cell count (SCC) and urea nitrogen (UN) was analyzed in the different production systems, seasons and ranges allowed by the Federal Normative Instruction 51/2002 (IN51). Mean SCC of the tank samples was 604.900 cells mL-1. Only 42% (n=29/69) of the milk samples obtained from tanks reached the IN51 standard. Of these, 70% came from the HS (n=14/20), 39% from the S (n=9/23), 23% from NS (n=6/26) systems and 50% were obtained during fall (n =8/16). The mean individual milk sample SCC was 689.000 cells mL-1. Of these individual samples, 11% (n=375/3517) attended the IN51 standard. The same percentage (11%) of standard attendance was observed at each production system and 15% of these samples were obtained during the winter season (n=99/675). Fat, protein, total solids and SCC were similar between production systems. However, between individual samples there only was similarity on CCS. No difference was found on lactose, SCC and UN of tank samples between seasons. The average SCC on the S and HS production systems was less than on the NS one. SCC was above the IN51 limit during fall. There was an increase in UN (P<0.001) in the HS production system. In spring 48% of the individual samples and in summer 42% of the tank samples attended the UN standard. The individual analysis can be used to control and improve the milk quality.