Oni, O.O.;Adeyinka, I.A.;Afolayan, R.A.;Nwagu, B.I.;Malau-Aduli, A.E.O.;Alawa, C.B.I.;Lamidi, O.S.
Asian-Australasian Journal of Animal Sciences
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v.14
no.11
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pp.1516-1519
/
2001
The data consisted of 369 lactation records for calvings over a sixteen-year period (1972-1987) and included only cows that had normal milk records. The data were analysed using a linear model containing the fixed effects of parity, year of calving and season of calving. The least squares means${\pm}$S.E. were $1,273{\pm}58.4kg$ for milk yield, and for post-partum body weight (kg) at 2, 3 and 4 months after calving were $343.40{\pm}3.96$, $346.10{\pm}4.10$ and $352.54{\pm}4.26$, respectively. With the exception of season of calving, the effects of parity and year of calving were significant (p<0.01) on the performance of the animals. Thus, the mean-milk yields 1162, 1351 and 1350, were similar for pre-, peak- and post rainy seasons, respectively. On the other hand, as parity increased from 1 to 3, milk yield also increased, but thereafter, there was a gradual decline in milk yield. Similarly, post-partum body weight also increased with parity. However, no consistent pattern for year effect was observed which probably was a reflection of the variation in climatic conditions, or forage quality and/or availability. The phenotypic correlations between milk yield and post-partum body weights were negative and small (ranging from -0.01 to -0.08). However, high milk production in cows was associated with longer calving interval. The implications from the phenotypic correlations are suggestive of one or two possibilities. Firstly, selection for increased body weight may actually result in decreased milk yield. Also, a substantial genetic antagonism may exist between milk yield and fertility in the crossbred cows. Therefore, it is important that selection to improve milk production should take into consideration the reproductive performance of the cows.
Muhammad Asif Arain;Sundus Rasheed;Arham Jaweria;Gul Bahar Khaskheli;Ghulam Shabir Barham;Shabbir Ahmed
Food Science of Animal Resources
/
v.43
no.3
/
pp.383-401
/
2023
Camel milk has a significant and pivotal role in the diet of people residing in semi-arid and arid regions. Ever since ancient times, marketing of camel milk has remained insignificant due to nonexistence of processing amenities in the camel nurturing areas, hence the utilization of unprocessed camel milk has continuously remained limited at family level by the nomads. Due to the superior medicinal values and health promoting effects, incredible growth in the demand of camel milk and dairy products have been noticed all over the world during last two decades. Such emergence has led dairy industry to provide diversified camel dairy products to the consumers with superior nutritional and functional qualities. In contrast to bovine, very few food products derived from camel milk are available in the present market. With the advancements in food processing interventions, a wide range of dairy and non-dairy products could be obtained from camel milk, including milk powder, cheese, yogurt, ice cream, and even chocolate. In some regions, camel milk is used for traditional dishes such as fermented milk, camel milk tea, or as a base for soups and stews. Current review highlights the processing opportunities regarding the transformation of camel milk into various dairy products via decreasing the inherent functionality that could be achieved by optimization of processing conditions and alteration of chemical composition by using fortification method. Additionally, future research directions could be devised to improve the product quality.
The aim of this study was to investigate the effects of heat stress on milk traits in South Korea using comprehensive data (dairy production and climate). The dataset for this study comprised 1,498,232 test-day records for milk yield, fat- and protein-corrected milk, fat yield, protein yield, milk urea nitrogen (MUN), and somatic cell score (SCS) from 215,276 Holstein cows (primiparous: n = 122,087; multiparous: n = 93,189) in 2,419 South Korean dairy herds. Data were collected from July 2017 to April 2020 through the Dairy Cattle Improvement Program, and merged with meteorological data from 600 automatic weather stations through the Korea Meteorological Administration. The segmented regression model was used to estimate the effects of the temperature-humidity index (THI) on milk traits and elucidate the break point (BP) of the THI. To acquire the least-squares mean of milk traits, the generalized linear model was applied using fixed effects (region, calving year, calving month, parity, days in milk, and THI). For all parameters, the BP of THI was observed; in particular, milk production parameters dramatically decreased after a specific BP of THI (p < 0.05). In contrast, MUN and SCS drastically increased when THI exceeded BP in all cows (p < 0.05) and primiparous cows (p < 0.05), respectively. Dairy cows in South Korea exhibited negative effects on milk traits (decrease in milk performance, increase in MUN, and SCS) when the THI exceeded 70; therefore, detailed feeding management is required to prevent heat stress in dairy cows.
The market for lactose-hydrolyzed milk is growing due to an increased awareness of lactose intolerance, and increased market interest for modified milk with health claims. The aim of this study was to compare the quality characteristics of 2% lactose-hydrolyzed milk with its lactose hydrolysis rate, with the goal of applying the method to dairy product monitoring in the future. We observed that the freezing point of milk significantly decreased with increasing lactose hydrolysis rate. A linear relationship was found between lactose concentration and freezing point, following the equation (y=-50.416x + 767.91). However, no significant changes were observed in other physicochemical properties of the milk (pH, titratable acidity, total solids and color) (p<0.05). In conclusion, we could predict the residual lactose content quickly and easily in 2% low fat milk by measuring its freezing point. This could represent an easy means for assessing the lactose hydrolysis rate of dairy products.
When the soybean milk residue flour were added to the respective wheat flour at level of 5%, 10% and 15% the possibility of bread making were studied. Vital gluten was added to the soybean milk residue portion of a 10% composite flour at levels of 3%, 6% and 9% to improve bread quality. And test was baking properties of soybean milk residue composite flour and sensory evaluation of composite breads. Major components of soybean milk residue flour were crude protein, 22.0%; crude lipid, 13.2%; carbohydrate, 54.3%; and dietary fiber, 27.2%. When 5%, 10% and 15% soybean milk residue flour was blended with wheat flour, water absorption, development time and bread weight were increased, and volume of dough and loaf was decreased. But improved bread-making properties by adding gluten. Color of crumb got darker as the percentage of soybean milk residue flour increased, got brighter when gluten was added. Texture of bread increased in chewiness and hardness as the percentage soybean milk residue flour increased but not different in cohesiveness. The use of vital gluten showed influence to springiness, chewiness and hardness. The sensory evaluation showed that 5% soybean milk residue-wheat bread was similar to bread made from wheat flour in overall acceptability. And the bread made by miting gluten were better than 10% soybean milk residue-wheat bread in overall acceptability.
The study was conducted to evaluate the feasibility of Mozzarella cheese analogue generation by using a mixture of soy milk and raw milk and to compare the quality of the resultant cheese with that of Mozzarella cheese manufactured using the traditional method. The mixtures showed increase in protein and decrease in lactose and SNF in a dose-dependent manner with the addition of soy milk. The Mozzarella cheese analogue had lower total solids content than the control cheese product, while the fat content was similar between both. The analogue cheese had lower ash content than the traditionally prepared cheese; the content was proportional to the amount of soy milk in the mixture. Higher soy milk quantities within mixtures also resulted in proportionally higher levels of fat content within analogue cheese. Water-soluble nitrogen content was lower in the analogue cheese than in the control cheese. While the WSN level increased in the control cheese, it was almost constant in the analogue cheese. The control cheese had much higher actual and predicted yield than the analogue cheese, while the analogue cheese had a higher stability level. The control cheese had a higher transfer rate than the analogue cheese, with the exception of lactose. Electrophoresis analysis showed bands for Mozzarella cheese analogues that were present in addition to the normal ${\alpha}$-casein and ${\beta}$-casein bands. Physical characteristic analysis showed that hardness was affected by the addition of soy milk to cheese, while cohesiveness and brittleness were affected by the addition of raw milk, and elasticity was barely affected by milk composition. The meltability of the control cheese was higher than that of the analogue cheese and increased during 30 days of storage at $4^{\circ}C$. Browning, oiling-off, and stretching characteristics were almost identical between the 2 types of cheeses. Sensory evaluation findings showed that the control cheese had much better body texture, appearance, and flavor than the analogue cheese.
The current study was conducted to examine the effect of feeding and management practices on milk quality and dairy farm productivity in Korea. Fifty dairy farms in Gyunggi (11), Gangwon (22), Chungnam (17) provinces were surveyed to collect data on the herd size, housing style, feeding management, waste disposal, milking practices and milk yield. Milk tank samples from all farms under study were also collected to enumerate its composition and quality parameters. Large dairy herds are equiped with better housing, milking and waste control facilities than medium and small dairy herds. Higher concentrate feeding to lactating cows was noticed in small dairy herds (47.51 %) than in medium (32.59 %) and large dairy herds (31.82 %). The decrease in concentrate feeding to lactating cows with increase in number of cows per farm resulted in a simultaneous increase in the use of imported forages. Bacterial count in milk was affected by housing and milking facilities at dairy farms. Higher bacterial counts (Coliform and E. coli) in milk were observed in cows housed in stanchion than those under free stall with saw dust bedding. The bacterial counts were higher with bucket milking system than with pipe-line and parlour systems. The increase in the number of dairy cows per farm and thus better management and milking facilities resulted in a reduction in somatic cell score. Milk yield (per cow) was higher in herds with less somatic cell score. Average milk protein concentration was between 2.89 to 2.98 % and milk urea nitrogen was between 21.81 to 23.31mg/ml on surveyed dairy farms. This study concluded that large herd size with better dairy cow management facilities is crucial to produce quality milk with better dairy farm income.
In March 2015, the milk quota system in Europe that had lasted for more than 30 years was abolished to improve the competitiveness of the European dairy sector in the international market. Despite an increase in the consumption of dairy products in Europe, the milk price is expected to stabilize in the next decade after a decrease between 2015 and 2016. This stabilization of prices will be caused by a significant increase in production, with the proportion exceeding domestic demand to be exported. In the international market, the price of milk will reduce in the next decade, leading to a restructuring of the milk sector with a lower number of farms, but with higher production and efficiency. Mountain farms will follow the same trend, although these farms play an important social role by providing ecosystem services such as maintaining cultural services, reducing greenhouse gas emissions, promoting soil stability, and improving the aesthetic value of the landscape. Nevertheless, they remain at a disadvantage compared with lowland farms. To prevent the loss of mountain farms, there is thus a need to valorize the ecosystem services that they provide and promote the processing of milk into certified products of high quality.
Kim, Hyoun-Wook;Han, Sang-Ha;Ham, Jun-Sang;Seol, Kuk-Hwan;Jang, Ae-Ra;Kim, Dong-Hun;Oh, Mi-Hwa
Journal of Dairy Science and Biotechnology
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v.29
no.2
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pp.51-57
/
2011
Milk and dairy products are nutritionally one of the most important food in human health and the quality of raw milk is significantly important to ensure safety of dairy products. However, milk and dairy products are commonly related with chemical and microbial contaminations. Therefore, rapid and reliable detection of hazardous (e.g. pathogenic bacteria, pesticides, antibiotics, microbial toxins) in milk and dairy products is essential to ensure human health and food safety. Conventional methods for detection of food hazardous are mostly time-consuming to yield a results. Recently, biosensors have been focused as its rapidity and high sensitivity to analyse chemical and microbial hazardous from a variety of foods and environments. This study reviewed the recent trends and applications of biosensors as rapid detection method of hazardous in milk and dairy products.
Response surface methodology (RSM) is a statistical approach widely used in food processing to optimize the formulation, processing conditions, and quality of food products. The homogenization process is achieved by subjecting milk to high pressure, which breaks down fat globules and disperses fat more evenly throughout milk. This study focuses on an application of RSM including the logit transformation to predict the efficiency of milk homogenization, which can be maximized by minimizing the relative difference in fat percentage between the top part and the remainder of milk. To avoid a negative predicted value of the minimum of this proportion, the logit transformation is used to turn the proportion into the logit, whose possible values are real numbers. Then, the logit values are modeled and optimized. Subsequently, the logistic transformation is used to turn the predicted logit into the predicted proportion. From our model, the optimum condition for the maximized efficiency of milk homogenization was predicted as the combination of a homogenizer pressure of 30 MPa, a storage temperature of 10℃, and a storage period of 10 days. Additionally, with a combination of a homogenizer pressure of 30 MPa, a storage temperature of 10℃, and a storage period of 50 days, the level of milk homogenization was predicted to be acceptable, even with the problem of extrapolation taken into account.
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