Impact Of Subclinical Mastitis Research Articles

Impact of Subclinical Mastitis on Milk Quality in Different Seasons

This study was carried out to evaluate the influence of subclinical mastitis on chemical constituents of cow’s milk samples in different seasons; which collected from 444 apparently healthy Holstein Frisian dairy animals during the period of December 2016 to November 2017 in a private dairy farm located in Fayoum district, Egypt. The results of chemical analysis of the milk samples along the four seasons of the year which done by the Lactoscan SLC milk analyzer device revealed that; the values of mean for (Fat%, Protein%, SNF%, Lactose%, Salt% and SCC/ml) in winter were (2.22±0.06, 2.90±0.08, 7.79±0.22, 4.14±0.12, 0.72±0.02 and 6.9×105±1.9×104 respectively).While the mean values of the same parameters in spring were (2.72±0.23, 2.58± 0.22, 6.93±0.58, 3.67±0.31, 0.64±0.05 and 9.2×105±7.7×104 respectively). In the summer, the mean values of (Fat%, Protein%, SNF%, Lactose%, Salt% and SCC/ml) were (2.35± 0.24, 2.80 ±0.28, 7.55±0.76, 4.00±0.40, 0.70±0.07 and 7.7×105±7.7×104 respectively), while the mean values in the autumn were (2.89±0.09, 2.69±0.08, 7.25±0.21, 3.84±0.11, 0.67±0.02 and 11.0×105±3.2×104 respectively). The analysis of findings specified that; there is a significant difference (P<0.05) in fat % and SCC between winter and autumn, however there is a significant difference (P<0.05) between (winter and autumn) and (winter and spring) in the parameters of protein, SNF and lactose content. The results reveal that there is a strong negative correlation between SCC and fat %; however there is a strong positive correlation between SCC and salt %.

Impact of Subclinical Mastitis on Reproductive Performance of Dairy Animals

According to the international dairy federation, the dairy sector provides up to one billion livelihoods around the globe. Albeit, it faces many challenges including the two potentially threatening diseases which are mastitis and infertility. Both are complex multifactorial diseases, and mastitis is associated with causing infertility. Mastitis is an intramammary infection (IMI) and it occurs in two forms, clinical and subclinical. Mastitis being the infection of mammary glands, directly affects milk production to reduce its quality and quantity and indirectly hinders the reproductive performance of dairy animals. It negatively affects the reproduction parameters of dairy animals including, an increase in days open, a decrease in pregnancy rates, and increases chances of early embryonic losses and abortion. The chronic cases of mastitis lead toward the infertility of dairy animals and both of these diseases are responsible for increasing the culling rate and decreasing the profitability of a dairy farm. The objective of this study is to illustrate the influence of subclinical mastitis on reproduction parameters of dairy animals including, days open, days to the first service after calving, pregnancy rates, abortion, and embryonic losses. The relation between mastitis and infertility will be explained mechanistically.

Impact of subclinical mastitis on greenhouse gas emissions intensity and profitability of dairy cows in Norway

Impaired animal health causes both productivity and profitability losses on dairy farms, resulting in inefficient use of inputs and increase in greenhouse gas (GHG) emissions produced per unit of product (i.e. emissions intensity). Here, we used subclinical mastitis as an exemplar to benchmark alternative scenarios against an economic optimum and adjusted herd structure to estimate the GHG emissions intensity associated with varying levels of disease. Five levels of somatic cell count (SCC) classes were considered namely 50,000 (i.e. SCC50), 200,000, 400,000, 600,000 and 800,000cells/mL (milliliter) of milk. The effects of varying levels of SCC on milk yield reduction and consequential milk price penalties were used in a dynamic programming (DP) model that maximizes the profit per cow, represented as expected net present value, by choosing optimal animal replacement rates. The GHG emissions intensities associated with different levels of SCC were then computed using a farm-scale model (HolosNor). The total culling rates of both primiparous (PP) and multiparous (MP) cows for the five levels of SCC scenarios estimated by the model varied from a minimum of 30.9% to a maximum of 43.7%. The expected profit was the highest for cows with SCC200 due to declining margin over feed, which influenced the DP model to cull and replace more animals and generate higher profit under this scenario compared to SCC50. The GHG emission intensities for the PP and MP cows with SCC50 were 1.01kg (kilogram) and 0.95kg carbon dioxide equivalents (CO2e) per kg fat and protein corrected milk (FPCM), respectively, with the lowest emissions being achieved in SCC50. Our results show that there is a potential to reduce the farm GHG emissions intensity by 3.7% if the milk production was improved through reducing the level of SCC to 50,000cells/mL in relation to SCC level 800,000cells/mL. It was concluded that preventing and/or controlling subclinical mastitis consequently reduces the GHG emissions per unit of product on farm that results in improved profits for the farmers through reductions in milk losses, optimum culling rate and reduced feed and other variable costs. We suggest that further studies exploring the impact of a combination of diseases on emissions intensity are warranted.

Milk Mineral and Cytokine Concentrations Differ in Guatemalan Mothers with Subclinical Mastitis (SCM) by Stage of Lactation

BackgroundLittle is known about the impact of SCM on the immunological and mineral concentrations of human breast milk. Our objective was to determine if minerals and cytokines differed in mothers with and without SCM during 3 stages of lactation.MethodsTransitional milk (TM: 5‐17d, n=21), early mature milk (EMM: 18‐46d, n=32) and mature milk (MM: 109‐187d, n=59) samples were collected from Mam‐Mayan women. Inductively Coupled Plasma Mass Spectrometry was used to analyze the concentration of 13 minerals (Na, K, Ca, Mg, Mn, Zn, Cu, Cr, Sr, Se, Rb, Fe, P) and immunoassay with Luminex was used to determine the concentration of 4 cytokines (IL‐1β, IL‐6, IL‐8, TNF‐α).ResultsPrevalences of SCM, using Na/K > 0.6, were 26.3% in TM, 15.6% in EMM and 8.9% in MM. Na, K, P, Cu, Fe, Rb, Zn and IL6 were higher in TM and EMM whereas Mg was higher in MM, as was IL‐8. SCM was associated with changes in P and Se and with the presence of 3 cytokines (IL‐6, IL‐8, and TNF‐α) in TM only. Regression analyses for each mineral showed that cytokines were associated with higher milk mineral concentrations: IL‐1β with P, Fe and Mn; IL‐6 with Na, K, Ca and Cu; IL‐8 with Zn; and TNF‐α with Na, Mn and Se.ConclusionMilk minerals and cytokines concentrations vary by lactation stages. The cytokines are associated with changes in milk mineral concentrations. Our finding suggests that IL‐6 is associated with elevated Na/K ratio.FundingMcGill University International Mobility Award