scholarly journals Determination of organic components of milk as method for evaluating energy status of dairy cows

2010 ◽  
Vol 64 (1-2) ◽  
pp. 21-32
Author(s):  
Djordje Savic ◽  
D. Matarugic ◽  
N. Delic ◽  
D. Kasagic ◽  
M. Stojanovic

The objective of the investigations described in this work was to determine the energy status and to make recommendations for correcting the cow diet at a farm of high-yield dairy cows, on the grounds of values for the concentration of organic components of milk and their ratios in individual milk samples. A total of 147 cows were examined, including 97 in the first and 50 in the second lactation. Average concentrations of milk fat and urea were within the physiological values. Namely, the milk fat concentration in cows in the first lactation was 38.88?5.07 g/l, and it was 36.47?4.82 g/l in cows in the second lactation, while the urea concentration in cows in the first lactation 3.16?0.58 mmol/l and it was 3.72?0.64 mmol/l in cows in the second lactation. The protein concentration in both groups of cows was below the physiological values, being 30.33?2.35 g/l in cows in the first lactation and 30.17?2.27 g/l in cows in the second lactation. Based on the ratio of urea and protein concentrations, as well as of fat and proteins in the individual milk samples, it was concluded that in most examined cows, both in those in the first and those in the second lactation, there is a deficit of energy, along with a deficit or relative surplus of proteins. On the grounds of the obtained results, recommendations were given for correcting the feed rations in the coming period. .

2006 ◽  
Vol 60 (5-6) ◽  
pp. 283-297
Author(s):  
Horea Samanc ◽  
Danijela Kirovski ◽  
Blagoje Dimitrijevic ◽  
Ivan Vujanac ◽  
Zoran Damnjanovic ◽  
...  

Valid indicators of the energy status of cows are the body condition, parameters of the metabolic profile, hormonal status, and organic components of milk. The energy status of cows of the Holstein-Friesian breed from four farms was estimated on the grounds of urea, protein and fat concentration in milk. Investigations covered 62 samples of milk (11 from farm A, 16 from farm B, 15 from farm C, and 20 from farm D). All cows were in the first stage of lactation and fed rations recommended for that category of animal. The average fat concentration in all milk samples was 23?13 g/l, the average protein concentration was 29?3 g/l, while the average urea concentration was 4.6?1.3 mmol/l. It could be concluded on the basis of the value for the milk fat concentration alone that a decreased milk fat syndrome was present. In addition, graphic presentations are given for the relation between urea concentration and protein concentration, as well as protein and fat concentrations in the individual milk samples. Such an analysis provided a more detailed picture of the energy status of the examined cows. It was established that cows on farm A had a deficiency of energy and protein, and cows on farms B and C a deficiency of energy with a relative surplus of proteins. It was established that cows from farm D had a deficiency of energy, and there was an equal number of cows with a deficiency and with a relative surplus of proteins. The obtained results provide grounds for making recommendations for correcting the feed rations and improving the health of the cows. It stems from the obtained results that the determination of urea, fat and protein concentrations in milk is a reliable indicator of the energy status of cows, that it is rational and financially acceptable for every producer, regardless of whether it is implemented in small or large cattle farms. The diagnostic procedures used so far have been implemented in a limited form in daily practice because of insufficient reliability (evaluation of body condition) or lack of economic feasibility (metabolic profile and hormonal status of cows).


2012 ◽  
Vol 66 (1-2) ◽  
pp. 97-110
Author(s):  
Danijela Kirovski ◽  
Horea Samanc ◽  
Radisa Prodanovic

One of the ways to make an assessment of the energy status of cows in lactation is to consider the results obtained from the evaluation of the concentrations of organic milk components. The advantages of this method are that the taking of milk samples is not stressful for the cow and that it is also possible to use the results of milk examinations carried out by dairy plants within regular control. A bulk milk sample from all individual cows can be used, or an individual milk sample. In farms that have herds of unequal genetic potential, it is preferable to assess the energy status by analyzing the results for individual samples, because each animals is assessed individually in that way. Furthermore, the use of individual milk samples is recommended at newly-established farms in order to facilitate the establishment of reference values for the herd. The energy status of cows is assessed using the milk samples by analyzing fat, protein and urea concentrations and their mutual ratios. Fat and protein concentrations in cow milk vary depending on the breed, the diet, age, stage of lactation, and the season of the year. A fat content lower than the physiological values can be expected in cases of unfavourable diet of the cows during the period around calving or rumen acidosis, and it can be expected to be higher during ketotic conditions. A higher protein content in milk can be expected during a high-protein, and a lower one during a low-protein diet of the cows. The physiological concentration of urea in milk depends on nutritive factors, the season, age, stage of lactation, and body mass. Specifically, older cows, cows in advanced lactation, and cows in the summer period tend to have higher values for urea concentration in milk. Among nutritive factors, the most important is the ratio between energy and proteins in the cow feed ration. In cases when protein content in milk is optimal or above the recommended values but the energy supply is lower, the urea concentration increases to over the range of physiological values. In the event that the feed ration is deficient in both proteins and energy the urea content in milk drops. This work also presents a model for assessing the energy status in cows by analyzing the mutual ratios between the individual milk components (proteins and fat, or urea and proteins) in the individual milk samples. It is possible to determine the energy status of the animal on the basis of the ratio between proteins and fat, and the supply of the cow with proteins and energy on the basis of the ratio between urea and proteins.


2002 ◽  
Vol 50 (3) ◽  
pp. 253-261 ◽  
Author(s):  
Orsolya Baticz ◽  
S. Tömösközi ◽  
L. Vida ◽  

The authors' hypothesis is that the members of the tricarboxylic acid cycle (TCA cycle) such as citrate decrease in association with increased ketone body formation. To prove this hypothesis the connection between ketone bodies and citrate formation of milk was studied. A fluorimetric method was used to determine citrate and a headspace sampling gas chromatographic (GC) method was developed for determination of ketone bodies. Under real conditions of milk sampling, transport and storage, preserved milk samples of 119 clinically healthy dairy cows obtained in the 48 hours after milking were investigated. A low level of acetoacetate (ACAC) was found in all samples. This fact can be explained by the spontaneous decarboxylation of acetoacetate during sample storage (previously decarboxylised acetoacetate = pdACAC) and, consequently, the majority of the amount of acetoacetate in the samples (AC+pdACAC) appeared in the measured acetone concentrations. Based on the measured acetone concentration of milk samples two groups were formed retrospectively: HA (high-acetone) group (n = 41) with an AC+pdACAC concentration of ≯ 0.4 mmol/l and a LA (low-acetone) group (n = 78) with an AC+pdACAC level of ≤ 0.4 mmol/l. In the milk of cows of Group HA a positive correlation (r = +0.623) and linear connection between acetone (AC+pdACAC) and β-hydroxybutyrate (BOHB) levels was found [BOHB = 2.491 + 0.586 × (pdAC + ACAC)]. Furthermore, in this group a negative correlation between citrate and BOHB and AC+pdACAC was also established (r = -0.579). Focusing on the results of this group the authors found a significant drop of AC+pdACAC and citrate during the metabolically critical first 1-4 weeks of lactation. For this reason they suggest that simple, easy, automated methods (i.e. flow injection analysis, Fourier transformation infrared analysis) should be introduced for the simultaneous determination of acetone and citrate concentration in milk to make the evaluation of the energy status of high-producing dairy cows easier and more certain.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ryszard Mordak ◽  
Zbigniew Dobrzański ◽  
Robert Kupczyński

AbstractTesting blood and milk parameters as well as analysing the relationships among these markers is very useful for monitoring the internal homeostasis and health in high-yielding dairy cows during various production periods. The aim of the study was to assess the correlations (relationships) among macro-minerals, such as calcium (Ca), inorganic phosphorus (P), magnesium (Mg), other selected bone profile markers, such as total protein (TP), albumin, activity of alkaline phosphatase (ALP) measured in serum and selected milk components such as number of somatic cells (SCC), colony-forming units (CFU), milk fat (MF), milk protein (MP), milk lactose (ML), dry matter (DM), non-fat dry matter (FDM) and milk production in late-lactation cows. Both blood and milk samples were collected from 11 clinically healthy milking cows during the late-lactation period. The cows were examined once a day for 3 consecutive days resulting in 33 sets of blood and milk samples for laboratory and statistical analysis. Significant correlations were observed between: Mg and MP, Mg and FDM, ALP and SCC, TP and SCC, TP and MP, TP and FDM, albumin and MP, albumin and FDM, P and Mg, Mg and albumin, and between TP and albumin. When monitoring macro-mineral homeostasis and mammary gland health, especially in intensively fed high-yielding dairy cows correlations between these markers should be considered. The revealed correlations can allow for deeper comparative laboratory diagnostics of homeostasis and can be especially useful for laboratory monitoring of the potential risk of subclinical macro-mineral deficiency in high-yielding dairy cows.


2020 ◽  
pp. 1-8
Author(s):  
Amira Rachah ◽  
Olav Reksen ◽  
Nils Kristian Afseth ◽  
Valeria Tafintseva ◽  
Sabine Ferneborg ◽  
...  

Abstract The objective of the study was to evaluate the potential of Fourier transform infrared spectroscopy (FTIR) analysis of milk samples to predict body energy status and related traits (energy balance (EB), dry matter intake (DMI) and efficient energy intake (EEI)) in lactating dairy cows. The data included 2371 milk samples from 63 Norwegian Red dairy cows collected during the first 105 days in milk (DIM). To predict the body energy status traits, calibration models were developed using Partial Least Squares Regression (PLSR). Calibration models were established using split-sample (leave-one cow-out) cross-validation approach and validated using an external test set. The PLSR method was implemented using just the FTIR spectra or using the FTIR together with milk yield (MY) or concentrate intake (CONCTR) as predictors of traits. Analyses were conducted for the entire first 105 DIM and separately for the two lactation periods: 5 ≤ DIM ≤ 55 and 55 < DIM ≤ 105. To test the models, an external validation using an independent test set was performed. Predictions depending on the parity (1st, 2nd and 3rd-to 6th parities) in early lactation were also investigated. Accuracy of prediction (r) for both cross-validation and external test set was defined as the correlation between the predicted and observed values for body energy status traits. Analyzing FTIR in combination with MY by PLSR, resulted in relatively high r-values to estimate EB (r = 0.63), DMI (r = 0.83), EEI (r = 0.84) using an external validation. Only moderate correlations between FTIR spectra and traits like EB, EEI and dry matter intake (DMI) have so far been published. Our hypothesis was that improvements in the FTIR predictions of EB, EEI and DMI can be obtained by (1) stratification into different stages of lactations and different parities, or (2) by adding additional information on milking and feeding traits. Stratification of the lactation stages improved predictions compared with the analyses including all data 5 ≤ DIM ≤105. The accuracy was improved if additional data (MY or CONCTR) were included in the prediction model. Furthermore, stratification into parity groups, improved the predictions of body energy status. Our results show that FTIR spectral data combined with MY or CONCTR can be used to obtain improved estimation of body energy status compared to only using the FTIR spectra in Norwegian Red dairy cattle. The best prediction results were achieved using FTIR spectra together with MY for early lactation. The results obtained in the study suggest that the modeling approach used in this paper can be considered as a viable method for predicting an individual cow's energy status.


1996 ◽  
Vol 62 (1) ◽  
pp. 1-3 ◽  
Author(s):  
P. C. Garnsworthy

AbstractTwenty-eight Holstein/Friesian dairy cows were divided into four groups of seven. From weeks 4 to 15 of lactation they were given a basal diet consisting of 8 kg hay, 2 kg sugar-beet feed and 2 kg grass nuts, together with a concentrate allowance of 8 kg/day. Concentrates for group A were based on cereals and soya (control). Concentrate B contained 60 g protected fat supplement per kg; concentrate C contained 100 g lactose per kg; concentrate D contained 60 g fat supplement and 100 g lactose per kg. Milk yields were 24·6, 27·7, 25·6 and 26·5 kg/day and milk protein concentrations were 32·3, 30·7, 32·7 and 31·9 g/kg for groups A, B, C and D respectively. The effect of fat supplementation on milk yield and protein concentration was significant (P < 0·05) but the effect of lactose was not significant. Milk fat concentration was not significantly affected by treatment. It is concluded that lactose can partially alleviate the depression in milk protein concentration often observed when cows are given protected fat.


2011 ◽  
Vol 50 (No. 3) ◽  
pp. 122-128 ◽  
Author(s):  
M. Pešek ◽  
J. Špička ◽  
E. Samková

In May 2003 differences in milk fat composition in two main dairy breeds in the Czech Republic, Czech Pied cattle and Holstein cattle, were studied in two uniform groups, each containing eight cows. The groups were housed together and received the same daily diet. Fatty acids were determined in mean milk samples from the individual cows as their methyl esters using a gas chromatography procedure. The groups of the fatty acids, namely saturated (SAFA), monounsaturated (MUFA) and polyunsaturated (PUFA) ones, were examined together with the individual acids. The milk fat of Czech Pied cattle was found to contain significantly less SAFAs than the fat of Holstein cows (60.78 and 63.62% of total acids; P &lt; 0.05). Determined mean MUFA contents (27.64 and 25.76%) and total levels (34.31 and 32.11%) of all the unsaturated acids (MUFAs and PUFAs) were insignificantly elevated in the milk fat of Czech Pied cattle. The contents of the most of the individual fatty acids did not differ considerably between the breeds. In Holstein cows, significantly higher contents (P &lt; 0.05) of capric acid (C<sub>10:0</sub>) and stearic acid (C<sub>18:0</sub>) 3.30 and 4.45%, respectively, as compared with 2.69 and 2.61% for Czech Pied cows, were observed. The milk fat of Czech Pied cows had significantly higher contents of oleic acid (C<sub>18:1</sub>) 23.60% (P &lt; 0.05) and of an isomer of octadecatrienic acid (C<sub>18:3n4</sub>) 0.16% (P &lt; 0.001) as compared with 21.68 and 0.10%, respectively, in the fat ofHolstein cows. &nbsp;


2011 ◽  
Vol 51 (No. 5) ◽  
pp. 181-188 ◽  
Author(s):  
M. Pešek ◽  
E. Samková ◽  
J. Špička

In 2003, 2004 and 2005 milk fat composition was determined three times in 55 dairy cows of Czech Pied cattle housed in a byre with stanchions and fed under conditions usual on Czech production farms. Fatty acids were determined by a gas chromatographic method, 26 acids out of the total 37 acids observed in chromatograms were identified. The highest proportions were observed for palmitic acid (29.25 &plusmn; 2.98%), oleic acid (24.47 &plusmn; 3.27%), myristic acid (12.14 &plusmn; 1.80%) and stearic acid (8.91 &plusmn; 2.44%). The proportions of saturated, unsaturated and monounsaturated fatty acids were 64.71 &plusmn; 4.18, 31.96 &plusmn; 4.20 and 27.45 &plusmn; 3.42% of total acids, respectively. The total proportion of nutritionally undesirable lauric, myristic and palmitic acid was 45.26 &plusmn; 4.77%, while that of the desirable group of polyunsaturated fatty acids was 4.51 &plusmn; 1.09%. The observed relatively wide ranges of the individual groups of fatty acids indicate that it is possible to improve the milk fat composition in Czech Pied cows. &nbsp;


2020 ◽  
Vol 12 (3) ◽  
pp. 277-281
Author(s):  
D. Pamukova ◽  
N. Rusenova ◽  
T. Kolev ◽  
S. Chobanova ◽  
N. Naydenova

Abstract. The aim of the study was to determine the goat milk quality from animals grown in a mountainous area in Bulgaria based on physicochemical and microbiological parameters. The study was carried out in a farm that breeds local goats and goats of the Bulgarian White Dairy Goat (BWD). Individual milk samples were taken on a monthly basis from morning milking. A total of 100 individual and 10 bulk milk samples were examined for fat, solids non fat, protein and density. A total of 62 samples were collected at a time to determine the microbiological characteristics of milk. For the period May-September 2017, the percentage of fat in the milk of local goats averaged 3.61% and of goats from BWD goat – 3.54%. The solids non fat were 8.27% and 8.19%, total protein – 3.13% and 3.10%, and the dry matter – 11.89% and 11.74%, respectively. For the period May-August 2017 the individual constituents of milk changed to varying degrees with the most variable being milk fat (decrease of 0.97% in local goats’ milk and 1.09% in milk from BWD goat) followed by solids non fat (0.56% and 0.7%, respectively). The slightest change was in protein – 0.21% and 0.26%, respectively. Coagulase-negative staphylococci were the predominant bacterial species in the goats’ milk samples.


2021 ◽  
Vol 52 (1) ◽  
pp. 11-17
Author(s):  
O. Szeleszczuk ◽  
P. Kilar ◽  
D. Maj

Abstract In this study, milk samples (n=52) from nine healthy female raccoons at 3–45 days of lactation were manually collected at a regular morning hour from all active teats and used to investigate the changes of lipid globules size, fatty acids (FAs) profile and fat content.The results indicated that raccoon milk is characterized by a high fat content. Small lipid globules sizing up to 6 µm prevailed with their greatest share in milk during lactation phases I and III. The milk fat content was increasing with the proceeding lactation, whereas the content of free FAs had a decreasing tendency. Totally eighteen FAs were identified in raccoon milk. The unsaturated long-chain C18–C20 FAs were dominating (over 60%). The individual FAs contents in raccoon milk did not exceed 1%, except for palmitic, vaccenic and linoleic acids representing over 20% of the total FA content.The study results can be used for establishing the energy requirements during the suckling period for proper growth and development of puppies.


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