The thesis explores an issue of mastitis in dairy cows, and factors that influence the health of a mammary gland. In span of 2012-2013, 629 quarter samples of milk were collected, the somatic cells count (SCC) was determined and the results related to the condition of teats base, and also to an order and phase of lactation. The results were compared to the pool samples collected in 2008-2013 (SCC, TBC) and the number and development of clinical mastitis was followed (2012-2013). The condition of teats base was estimated as an important factor contributing to the health of a mammary gland. The lowest SCC was identified in the first phase of lactation, and, contrary to that, the highest SCC was identified in the third phase of lactation (active involution). The order of lactation proved to be an important factor influencing SCC in milk. Dairy cows staying in pasture were shown to have less SCC in milk; it can therefore be concluded that grazing has a positive impact on SCC in milk. In the examined period, very low number of clinical mastitis was determined

Tiriamasis darbas atliktas Lietuvos sveikatos ir mokslų universitete ir Lietuvos pieninių galvijų fermose 2011 – 2014 metais. Darbą sudaro 49 puslapių, 12 lentelių, 8 paveikslai. Baigiamojo darbo tikslas: įvertinti somatinių ląstelių skaičių karvių piene, išnalizuoti jų kitimo priežastis, nustatyti jų ryšį su produktyvumu. Baigiamojo darbo uždaviniai: Įvertinti somatinių ląstelių skaičių karvių piene, karvių pieno kiekio ir sudėties (riebumo, baltymingumo, laktozės) rodiklius, negenetinių veiksnių įtaką karvių produktyvumui ir SLS piene, genetinių veiksnių įtaką karvių produktyvumui ir SLS piene. Ištirtos 9 veislių karvės, trijuose skirtinguose ūkiuose. Iš viso buvo ištirtos 726 karvės Tyrimo metu buvo nagrinėta genetinių ir negenetinių veiksnių įtaka karvių pieno somatinių ląstelių skaičiui (tūkst./cm3), pieningumui (kg), riebumui (proc.), baltymingumui (proc.) bei laktozės kiekiui (proc.). Įvertinus tirtų karvių SLS piene nustatyta, kad vidutinis SLS kiekis piene buvo 220,65±10,477 tūkst./cm3. 43,09 proc. karvių piene SLS buvo mažesnis nei 100 tūkst./cm3, 68,92 proc. – svyravo nuo 100 iki 200 tūkst./cm3, 31,08 proc. - viršijo 200 tūkst./cm3, rodo, kad trečdalis tirtų karvių sirgo tešmens uždegimu. Įvertinus tirtų karvių pieno kiekio ir sudėties rodiklius nustatyta, kad vidutinis tirtų karvių pieningumas 19,78±0,192 kg, pieno riebumas buvo 4,61±0,022 proc., baltymingumas – 3,62±0,011 proc., laktozės kiekis piene - 4,50±0,005 proc. Didėjant karvių produktyvumui SLS piene... [toliau žr. visą tekstą] / Place of research: Lithuanian University of Health Sciences and Lithuanian farms of dairy cattle. The research work was accomplished in 2011 – 2014 years of studies. Volume of the research work – 49, 12 tables, 8 pictures. Goal of work: to evaluate somatic cells count in cows’ milk, to analyse their causes of changes and to determine their relationship with productivity. Goal of thesis: to evaluate the somatic cells count in cows’ milk, to determine milk yield and composition (fat, protein, lactose). The analysis is based on 726 dairy cows from different breeds (9 breeds) in three farms. During the study some data have been analysed influence of the genetic and non–genetic factors such as somatic cell count (SCC) in milk (thousand./cm3), milk yield (kg), milk fat (%) and protein (%) milk lactose content (%) and cow origin data. The estimation of somatic cells count in cows’ milk shows that average of SCC was 220.65±10.477 thousand/cm3. The 43.09 percent of cows’ SCC in milk was less than 100 thousand/cm3, 68.92 percent – ranged from 100 to 200 thousand/cm3 and 31.08 percent had more than 200 thousand/cm3. The evaluation of cows’ milk yield and composition traits showed that the average of cows’ milk yield was 19.78 ±0.192 kg, milk fat – 4.61 ±0.022 percent, the amount of protein – 3.62 ±0.011 percent, lactose content of milk – 4.50 ±0.005 percent. Increase of cows’ milk production, increased and SCC in milk. The statistical analysis of the data showed that non–genetic factors... [to full text]

The goal of the graduation theses was a comparison of the hygenic quality of raw cows milk, it was expressed by the value of total bacterial count (TBC) and somatic cells count (SCC) in four breeds of milking cows using only postdipping (3 breeds) in comparison with breed using predipping and postdipping. The breeds differed in technology of lairage and milking procedures, grazing and the size the herd. During two seasons 2006 till 2007 was discovered that the breeds using predipping and postdipping had significantly less average values of TBC (9,46.103.ml-1) in comparison with the breeds using only postdipping (15,97.103.ml-1), the difference was statistically significant (P = 0,007) on the level of significance P < 0,05. Also it was shown that SCC were below averages levels with using predipping and postdipping (293,47.103.ml-1) in comparison to breeds using only postdipping (312,06.103.ml-1), the difference was also statistically significant (P = 0,01) on the level of significance P < 0,05.

Made available in DSpace on 2015-03-26T13:55:13Z (GMT). No. of bitstreams: 1 texto completo.pdf: 545117 bytes, checksum: 7ad3378bf0c824361e4be8d29161719b (MD5) Previous issue date: 2012-07-12 / The purpose this work was to evaluate milk quality in different production systems and its variation throughout the year. The database used in this work were from 943 milk farms from different regions: south, midwest and central of state of Minas Gerais and Vale Paraíba, state of São Paulo. Data totaled 18.026 samples, collected between January (2009) and September (2011), and it was granted by Danone Firm. The milk farms were classified in three different production systems: confined, semi-confined and extensive system (grass fed). Somatic cells count (SCC), total bacterial count (TBC) and milk protein and fat contents were evaluated. The data was analyzed in a completely randomized design in a repeated measured scheme, and theproc MIXED procedure of SAS (2008) was used. The production system did not affect milk protein and fat contents, neither the SCC. However, the production system affected the TBC, indicating that TBC is related to the available structure for feeding animals. It is possible that the results are consequence of a payment program for quality, whichwas started by the milk industry in 2002. Seasonal variations in results of SCC, CBT and milk protein and fat contents were observed. The milk protein content was greater between March and June, while the milk fat content was greater between May and August. TBC and SCC were greater between December and March. In conclusion, production system does not affect milk protein and fat contents, neither SCC. However, confined systems have better TBC results. Furthermore, month and year affect the milk quality (TBC, SCC, milk protein and fat content results), where better results are observed in cold seasons. / Objetivou-se avaliar a qualidade do leite cru em diferentes sistemas de produção e sua variação ao longo do ano. Os dados utilizados nesse trabalho foram obtidos de 943 propriedades leiteiras das regiões do Sul de Minas, Centro-Oeste e Central Mineira no estado de Minas Gerais e na região do Vale do Paraíba no estado de São Paulo. Os mesmos foram concedidos pela Empresa Danone, em um total de 18.026 amostras, no período de janeiro de 2009 a setembro de 2011. As propriedades foram divididas em sistema de produção confinado, semi-confinado e extensivo. Os itens avaliados foram contagem de células somáticas (CCS), contagem bacteriana total (CBT) e teores de proteína e gordura. Os dados foram analisados em esquema de medidas repetidas no tempo, utilizando o procedimento proc MIXED do SAS (2008). Não houve efeito de sistema de produção sobre os teores de proteína, gordura e CCS. Já a CBT foi afetada pelo sistema de produção estando relacionada com o tipo de estrutura para alimentar os animais. Possivelmente, os resultados são consequência do programa de pagamento por qualidade implantando pelo laticínio desde o ano de 2002. Foram encontradas variações sazonais de CCS, CBT, proteína e gordura; sendo os valores de proteína mais elevados de Março a Junho, os valores de gordura mais elevados de Maio a Agosto, os valores de CBT e CCS mais elevados de Dezembro a Março.Conclui-se que o sistema de produção não interfere na porcentagem de gordura e proteína e CCS do leite. No entanto, sistemas confinados apresentam melhor padrão de CBT. Conclui-se, também, que tanto mês quanto ano são fatores que interferem na CBT, CCS, proteína e gordura do leite, sendo os melhores padrões encontrados nas épocas mais frias do ano.

Made available in DSpace on 2016-12-08T16:24:22Z (GMT). No. of bitstreams: 1 PGCA15MA174.pdf: 1125115 bytes, checksum: debf2ea0252ff58d406adab80ac46300 (MD5) Previous issue date: 2015-06-25 / Improvement of animal nutrition and management, together with genetic selection for milk yeld, increased the productivity of the herds, especially Holstein cows. On the other hand, characteristics related to fertility, health and longevity were disadvantaged The aim was to compare the development, milk yeld and composition, the health of the mammary gland, the body condition score (BCS), reproductive performance and longevity of crossbred Holstein x Simmental cows with Holstein cows. To obtain the data set two farms were used, one in Bom Retiro in SC and another in Carambeí in PR. For growth evaluation, weight gain of the animals were evaluated monthly. For production and udder health data from the official Dairy Herds Improvement Programs of the farm were used. BCS and body weight estimation were made on the farm with an interval between 60 and 90 days within one year. Information concerning the date of birth, parity date, date and number of inseminations, were obtained from the management software of the farms, generating information regarding the calving interval, days between calving to first service, conception rate, age at first calving. In one of the farms, calving were monitoring to quantify the calving difficulty, in the same farm, information of culling were obtained to determine the survival rate of cows. Data were analyzed by statistical package of SAS, using the MIXED and GENMOD procedures. For growth curve, production and composition of milk, (BCS) and body weight nonlinear regression was used, using the NLIN procedure of SAS and the curves of Gompertz (growth) and Wood (production and composition) were used because of having the lowest mean square. Holstein x Simmental crossbred cows produced more milk 31,8 x 30,4 kg/day (P < 0,05), with higher content of lactose and protein, with no difference for fat content. Holstein cows had higher somatic cell score (SCS) 4.49 x 2.93 (P <0.0001) compared to crossbreed cows. Holstein x Simmental crossbred cows had better BCS during lactation 3.65 x 2.94 (P <0.0001) with no difference in body weight in relation to Holstein cows. For growth of calves and heifers there was no difference between the genetic groups. Crossbred cows Holstein x Simmental had better reproductive performance than the Holstein cows, characterized by lower calving interval (381 x 445 days), higher conception rate (37.31 x 33, 64%) and shorter interval calving to first service (65.6 x 89.3 days). Crossbred cows Holstein x Simmental had higher survival rate than Holstein cows (83 x 92 In conclusion, crossbred cows Holstein x Simmental produce more milk with higher content of lactose and protein, have less ECS and greater BCS without difference for growing of heifers and body weight in adult age. Crossbred cows still have better reproductive performance and have a higher survival rate than the Holstein cows / Melhorias na nutrição e no manejo dos rebanhos bem como a seleção genética para a produção de leite aumentaram a produtividade dos animais. Em contrapartida, características relacionadas a fertilidade, sanidade e longevidade foram prejudicadas. O objetivo foi comparar o desenvolvimento, a produção e composição do leite, a sanidade da glândula mamária, o escore de condição corporal o desempenho reprodutivo e a longevidade de vacas mestiças Holandês x Simental em relação as vacas puras Holandês. Foram utilizadas duas propriedades, uma localizada no município de Bom Retiro em SC e outra em Carambeí no PR. Para avaliação de crescimento o ganho de peso dos animais foi avaliado mensalmente. Para obter dados produtivos e de sanidade de úbere foram utilizados dados do controle leiteiro oficial da propriedade. As avaliações de escore e peso vivo foram realizadas na propriedade com intervalo entre 60 e 90 dias no período de um ano, informações estas obtidas em uma das propriedades. As informações referentes a data de nascimento, data de parto, data e número de coberturas, foram obtidas junto aos software de gerenciamento de ambas as propriedades, gerando informações referentes ao intervalo entre partos (IEP), período parto primeiro serviço, taxa de concepção, idade ao primeiro parto. Em uma das propriedades foi feito o acompanhamento dos partos para quantificar a dificuldade de parto, da mesma forma, foram obtidas informações referentes ao descarte de animais para determinar a taxa de permanência no rebanho das vacas. Os dados foram analisados pelo pacote estatístico SAS, utilizando-se os procedimentos MIXED e GENMOD Para curva de crescimento, de produção e composição do leite bem como escore de condição corporal (ECC) e peso vivo foi utilizada a técnica de regressão não linear, do pacote estatístico SAS sendo que foram utilizadas as curvas de Gompertz (crescimento) e de Wood (produção e composição) por apresentarem o menor quadrado médio do erro. Vacas mestiças Holandês x Simental produziram mais leite 31,8 x 30,4 ( P < 0,05), com maior teor de lactose e proteína, sem diferença para teor de gordura. Vacas Holandês obtiveram maior escore de células somáticas (ECS) 4,49 x 2,93 (P < 0,0001) em relação as mestiças. Vacas mestiças Holandês x Simental obtiveram melhor ECC durante a lactação 3,65 x 2,94 (P < 0,0001) sem diferença para peso vivo em relação as vacas Holandês. Para crescimento de bezerras e novilhas não houve diferença entre os grupamentos genéticos. Vacas mestiças Holandês x Simental obtiveram melhor desempenho reprodutivo em relação as vacas puras, caracterizado através do menor IEP (381 x 445 dias), maior taxa de concepção (37,31 x 33, 64 %) bem como menor intervalo parto primeiro serviço (65,6 x 89,3 dias). Vacas mestiças Holandês x Simental apresentaram maior taxa de permanência no rebanho em relação as vacas puras (83 x 92 %). Conclui-se que vacas mestiças produzem mais leite, com maior teor de lactose e proteína, possuem menos ECS e maior ECC sem diferença para crescimento de novilhas e peso vivo na idade adulta. Apresentam ainda melhor desempenho reprodutivo e maior taxa de permanência no rebanho em relação as vacas puras Holandês