Somatic cell count and milk yield on physicochemical components of milk from free-stall housed cows

Abstract

Measurement and evaluation of the factors that may influence milk composition has been shown to determine the actual gains in milk quality and quantity. The study was conducted to evaluate the influence of daily milk yield on the physicochemical composition of milk and analyze the correlations between milk yield and somatic cell count (SCC) on the fat, protein, lactose, total solids and nitrogen urea contents in Holstein cows' milk. A total of 3,544 data collected from 467 cows were evaluated. In the analysis, the animals were divided into groups -I (5-15 kg milk day -1 ), II (15-30 kg milk day -1 ) and III (above 30 kg milk day -1 ) -based on their daily production. Animals of Group I had higher SCC (P < 0.05) and fat and protein percentage when compared with Group III. However, the lactose content was lower (P < 0.05) than Group II and III. No correlation (P > 0.05) between SCC and fat, protein and total solids contents was observed. A lower milk yield is significantly associated with a higher SCC, which, besides hindering the quality of milk, compromises the cow's udder health. Key words: Fat. Lactose. Protein. Total solids. Urea. ResumoQuantificar e qualificar os fatores que podem influenciar a composição do leite tem sido de extrema importância para ganhos tanto em quantidade como em qualidade no leite produzido. O estudo foi realizado visando avaliar a influência da produção leiteira sobre a composição físico-química do leite e analisar as correlações entre a produção leiteira e a contagem de células somáticas (CCS) sobre os teores de gordura, proteína, lactose, sólidos totais e nitrogênio uréico no leite de vacas Holandesas. 3.544 dados referentes a 467 vacas foram avaliados. Na análise, os animais foram distribuídos em grupos I (5 a 15 kg leite dia -1 ), II (15 a 30 kg leite dia -1 ) e III (acima de 30 kg leite dia -1 ), de acordo com sua produção diária. Animais do grupo I apresentaram maior (P < 0,05) CCS, porcentagem de gordura e proteína quando comparados ao grupo III, porém, menor (P < 0,05) teor de lactose quando comparados aos grupos II e III. Não foi observada correlação (P > 0,05) entre a CCS e o teor de gordura, proteína e sólidos totais. Menores produções leiteiras estão significativamente associadas à alta CCS, o que por sua vez, além de trazer prejuízos também significativos à qualidade do leite produzido, compromete o estado sanitário do úbere das vacas. Palavra-chave: Gordura. Lactose. Proteína. Sólidos totais. Ureia.

The impact of genetic and non-genetic factors on somatic cell count as a monitor of udder health in Slovak Simmental dairy cows

“…These coefficients were highly statistically significant P <0.001 (Table 2). These results are correspondence with Japertienė et al, 2016. De Freitas et al, 2017 shows correlation coefficients among DMY, DFC and DPC with SCC (r = -0.18116, r = 0.09046 and r = 0.08100).…”

“…These effects were highly statistically significant P <0.001 (Table 3). These results are similar with results of Cerón-Muñoz et al, 2002;Souza et al, 2005;Rhone et al, 2008;Saravanan et al, 2015;Boro et al, 2016 andSavić et al, 2017.…”

“…2.The average ofDMY, DFC and DPC are 15.21 to 20.44, 4.10 to 4.16 and 3.36 to 3.55 by code of SCC.These results are similar with conclusions ofJattawa et al, 2012 andde Freitas et al, 2017, where values perceptual of milk traits by codes of SCC have rising tendency.…”

“…The somatic cells count (SCC) of milk is widely used to monitor udder health and the milk quality (Sharif, Muhammad, 2008;Jadhav et al, 2016).The composition of milk from dairy cows is of major interest to milk producers, processors and consumers because of its health related issues and also market demand. It directly affects the economy of milk production as well as economic condition of these dairy farmers (Boro et al, 2016).…”

“…It directly affects the economy of milk production as well as economic condition of these dairy farmers (Boro et al, 2016). Milk composition can be affected by a wide array of factors: breed, season, age, stage of lactation and diet of the animal (Savić et al, 2017;Tančin et al, 2018).Factors affecting on somatic cells count shows in publications others authors as Cerón-Muñoz et al, 2002;Souza et al, 2005;Rhone et al, 2008;Oudah, 2009;Saravanan et al, 2015 andAlhussien, Dang, 2018. The aim of study was to evaluate the impact of genetics and non-genetics factors on somatic cells count in Slovak Simmental dairy cows.…”