Evaluation of Scenarios for Improving the Collection System for a Milk Factory in Ethiopia

The present study was undertaken to evaluate the organoleptic, specific gravity, chemical and microbiological qualities of morning and evening milk which collected from Bangladesh Agricultural University Dairy Farm, Mymensingh. In this purposes, six Holstein Friesian crossbred cows were selected for this study. Milk samples were collected every morning and evening immediately after milking and then subjected to test all mentioning parameters. Morning milk showed less yellowish than evening milk whereas flavor, body and texture were found normal in both intervals of milk. Specific gravity was found higher (1.030 ±0.000) in morning milk than evening and significantly (p<0.01) higher fat content observed in evening milk sample due to the more exercise the whole day. Again, total solids, solids-not-fat, protein and lactose content of milk showed significant difference at p<0.05. Other parameters like acidity percent and ash did not show any significant difference. Significantly (p<0.05) higher coliform count was noticed in morning milk than evening milk and non-significant (p>0.05) difference found in total viable count of both intervals milk. Considering the research findings, it might be said that evening milk was better than morning milk. Asian Australas. J. Biosci. Biotechnol. 2016, 1 (2), 255-260

A study was conducted at Chitrakoot-Satna (M.P.) and Smriti Products (Pvt.) Ltd., Saha, Ambala (Haryana), during April to June 2014 to evaluate the chemical quality of raw milk of Murrah breed. The objective was to find out the compositional quality of raw milk of Murrah breed, and to find out the effect of morning and evening milking on compositional quality of raw milk. All sanitary precautions were followed to produce clean milk. The samples of raw milk collected for ten days, were tested to determine the percentage of fat, protein, lactose, ash, total solid, water, solid not fat (SNF); and specific gravity. The data obtained for the aforesaid tests were subjected to statistical analysis. The results of the statistical analysis showed that the differences in percentage of fat, protein, ash, total sugar and water in the raw milk of Murrah breed were significant and the results of F-test were also found significant. The differences in percentage of lactose and SNF; and specific gravity were, however, non-significant. It was, therefore, concluded that effect of morning and evening milking interval on chemical quality of milk of Murrah breed was significantly influenced. Morning milk was better than evening milk.

Globally, agriculture is directly responsible for 14% of annual greenhouse gas(GHG) emissions and induces an additional 17% through land use change, mostlyin developing countries (Vermeulen et al 2012). Agricultural intensification andexpansion in these regions is expected to catalyze the most significant relativeincreases in agricultural GHG emissions over the next decade (Smith et al 2008,Tilman et al 2011). Farms in the developing countries of sub-Saharan Africa andAsia are predominately managed by smallholders, with 80% of land holdingssmaller than ten hectares (FAO 2012). One can therefore posit that smallholderfarming significantly impacts the GHG balance of these regions today and willcontinue to do so in the near future.However, our understanding of the effect smallholder farming has on theEarth’s climate system is remarkably limited. Data quantifying existing andreduced GHG emissions and removals of smallholder production systems areavailable for only a handful of crops, livestock, and agroecosystems (Herrero et al2008, Verchot et al 2008, Palm et al 2010). For example, fewer than fifteenstudies of nitrous oxide emissions from soils have taken place in sub-SaharanAfrica, leaving the rate of emissions virtually undocumented. Due to a scarcity ofdata on GHG sources and sinks, most developing countries currently quantifyagricultural emissions and reductions using IPCC Tier 1 emissions factors.However, current Tier 1 emissions factors are either calibrated to data primarilyderived from developed countries, where agricultural production conditions aredissimilar to that in which the majority of smallholders operate, or from data thatare sparse or of mixed quality in developing countries (IPCC 2006). For the mostpart, there are insufficient emissions data characterizing smallholder agricultureto evaluate the level of accuracy or inaccuracy of current emissions estimates.Consequentially, there is no reliable information on the agricultural GHG budgetsfor developing economies. This dearth of information constrains the capacity totransition to low-carbon agricultural development, opportunities for smallholdersto capitalize on carbon markets, and the negotiating position of developingcountries in global climate policy discourse.Concerns over the poor state of information, in terms of data availability andrepresentation, have fueled appeals for new approaches to quantifying GHGemissions and removals from smallholder agriculture, for both existing conditionsand mitigation interventions (Berry and Ryan 2013, Olander et al 2013).Considering the dependence of quantification approaches on data and the currentdata deficit for smallholder systems, it is clear that in situ measurements must bea core part of initial and future strategies to improve GHG inventories and

Better information on greenhouse gas (GHG) emissions and mitigation potential in the agricultural sector is necessary to manage these emissions and identify responses that are consistent with the food security and economic development priorities of countries. Critical activity data (what crops or livestock are managed in what way) are poor or lacking for many agricultural systems, especially in developing countries. In addition, the currently available methods for quantifying emissions and mitigation are often too expensive or complex or not sufficiently user friendly for widespread use.The purpose of this focus issue is to capture the state of the art in quantifying greenhouse gases from agricultural systems, with the goal of better understanding our current capabilities and near-term potential for improvement, with particular attention to quantification issues relevant to smallholders in developing countries. This work is timely in light of international discussions and negotiations around how agriculture should be included in efforts to reduce and adapt to climate change impacts, and considering that significant climate financing to developing countries in post-2012 agreements may be linked to their increased ability to identify and report GHG emissions (Murphy et al 2010, CCAFS 2011, FAO 2011).

ABSTRACTA matrix of persistency values is given instead of one value of persistency or persistency values based on succeeding test days. Overall, the persistency matrix of morning milk had higher values than the persistency matrix of evening milk. As the distance between the test days increased, the correlations dramatically decreased. The effects of morning milk yield b = 0.23 (P < 0.01) on standard deviation of morning and evening milk yield and on peak the milk yield was higher compared to the evening daily milk yield b = 0.03 (P = 0.05) and the total daily milk yield 0.10 (P < 0.01). Increased persistency means that the lactation curve may be flatter. Since the peak value of morning milk (1597 mL) was lower than evening milk (1799 mL), and morning milk was more persistent than evening milk, morning milk can be said to contribute more to the flatness of the lactation curve. Overall, the morning milk volume (938 mL) was larger than the evening milk volume (835 mL). A 3D plot of peak milk versus morning and evening milk yield indicated that increasing the evening milk yield increases the peak yield while the morning milk yield holds the peak value lower and the curve stable.

This study aims to determine the concentration of lactose, fat, and protein in FH cow's milk at the beginning of lactation which is intensively reared at the People's Farm of the Dairy Cattle Farming Cooperative (KPSP) located in Tutur District, Nongkojajar, Pasuruan Regency, East Java Province, Indonesia. The research material used was fresh milk from lactating dairy cows. The research method used is laboratory analysis with purposive sampling technique. FH dairy cows that were in 3rd lactation period was taken as samples on the 1st, 2nd, and 3rd milking days in the morning and evening milking times. Data were analyzed descriptively and qualitatively. The results showed that the average fat concentration of FH cow's milk in the morning milking was 4.23±0.68%, while in the afternoon milking was 4.99±0.65%. The average lactose concentration in the morning milk was 4.10±0.66%, while in the afternoon milk was 4.48±0.71%. The average protein concentration in the morning milking was 3.23±0.94%, while in the afternoon milking was 3.32 ±0.65%. This study concluded that the high concentration of fat, lactose, and protein in the afternoon milking was caused by the shorter time interval between morning and evening milking than the afternoon to morning milking time.The concentration of fat, lactose, and protein in FH cow's milk, which is higher than the SNI standard, is due to several factors including environmental, nutritional, climatological, and managerial factors. The factors are inseparable from each other in influencing milk quality.The quality of fresh milk produced by the Dairy Cow Farming Cooperative People's Farm (KPSP) located in Tutur District, Nongkojajar, Pasuruan Regency, East Java Province, Indonesia is in good condition, safe, and suitable for consumption as milk quality standards meet SNI No. 01-3141.1-2011.

Effect of time of feeding carbohydrate supplements and pasture on production of dairy cows

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Diurnal differences in milk composition and its influence on in vitro growth of Staphylococcus aureus and Escherichia coli in bovine quarter milk

Energy-related activities are a major contributor of greenhouse gas (GHG) emissions. A growing body of knowledge clearly depicts the links between human activities and climate change. Over the last century the burning of fossil fuels such as coal and oil and other human activities has released carbon dioxide (CO2) emissions and other heat-trapping GHG emissions into the atmosphere and thus increased the concentration of atmospheric CO2 emissions. The main human activities that emit CO2 emissions are (1) the combustion of fossil fuels to generate electricity, accounting for about 37% of total U.S. CO2 emissions and 31% of total U.S. GHG emissions in 2013, (2) the combustion of fossil fuels such as gasoline and diesel to transport people and goods, accounting for about 31% of total U.S. CO2 emissions and 26% of total U.S. GHG emissions in 2013, and (3) industrial processes such as the production and consumption of minerals and chemicals, accounting for about 15% of total U.S. CO2 emissions and 12% of total ...

This study was undertaken to evaluate the nutritional and microbiological qualities of raw milk in the Chittagong City. Eighty samples of raw milk of cow were collected in the morning and evening from the surrounding farms of Chittagong Veterinary and Animal Sciences University (CVASU), Chittagong, Bangladesh. The results of compositional analysis evolved that fat, SNF, protein, lactose, specific gravity, freezing point and mineral were (3.94±0.22%), (7.91±0.17%), (3.11±0.08%), (4.32±0.10%), (1.026±0.00), (-0.46±0.007), (0.68±0.01%), respectively. The fat% of evening milk was significantly higher (p‹0.001) than morning milk. Rest of the parameters were not significant. Microbiological enumeration revealed for the counts of total viable bacteria (cfu/ml) and coliform (cfu/ml) were 730500±639 and 280±1.36 in the morning milk and 628625±566 and 326±1.84 in the evening milk, respectively. The results of the current study indicated that the nutritional quality of evening raw milk was higher than in the morning raw milk.Bang. J. Anim. Sci. 2015. 44 (3):171-175

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