scholarly journals Betaine Improves Milk Yield in Grazing Dairy Cows Supplemented with Concentrates at High Temperatures

Animals ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 57 ◽  
Author(s):  
Frank Dunshea ◽  
Kehinde Oluboyede ◽  
Kristy DiGiacomo ◽  
Brian Leury ◽  
Jeremy Cottrell
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Milk Fat ◽  
Milk Protein ◽  
The Mean ◽  
Fat Yield ◽  
Grazing Dairy Cows ◽  
Daily Milk Yield ◽  
Betaine Supplementation ◽  
Daily Milk

Betaine is an organic osmolyte sourced from sugar beet that accumulates in plant cells undergoing osmotic stress. Since the accumulation of betaine lowers the energy requirements of animals and, therefore, metabolic heat production, the aim of this experiment was to investigate if betaine supplementation improved milk yield in grazing dairy cows in summer. One hundred and eighteen Friesian × Holstein cows were paired on days in milk and, within each pair, randomly allocated to a containing treatment of either 0 or 2 g/kg natural betaine in their concentrate ration for approximately 3 weeks during February/March 2015 (summer in Australia). The mean maximum February temperature was 30 °C. Cows were allocated approximately 14 kg dry matter pasture and 7.5 kg of concentrate pellets (fed in the milking shed) per cow per day and were milked through an automatic milking system three times per day. Betaine supplementation increased average daily milk yield by over 6% (22.0 vs. 23.4 kg/day, p < 0.001) with the response increasing as the study progressed as indicated by the interaction (p < 0.001) between betaine and day. Milk fat % (p = 0.87), milk protein % (p = 0.90), and milk somatic cell count (p = 0.81) were unchanged by dietary betaine. However, betaine supplementation increased milk protein yield (677 vs. 719 g/day, p < 0.001) and fat yield (874 vs. 922 g/day, p < 0.001) with responses again being more pronounced as the study progressed. In conclusion, dietary betaine supplementation increased milk and component yield during summer in grazing dairy cows.

Accuracy of alternative methods of estimating weekly yields of milk fat and protein

1984 ◽  
Vol 24 (127) ◽  
pp. 464 ◽  
Author(s):  
T Clarke ◽  
A McGowan
Keyword(s):  
Milk Yield ◽  
Milk Fat ◽  
Milk Protein ◽  
Low Frequency ◽  
Sampling Frequency ◽  
Alternative Methods ◽  
Stage Of Lactation ◽  
Fat Yield ◽  
Daily Milk Yield ◽  
Daily Milk

Thirty-four procedures were used to estimate the weekly yields of milk, milk fat and milk protein of 19 grazing cows on five occasions between the third and eighth months of lactation. The standard deviation of daily milk yield, fat and protein percentage of individual cows averaged 1 .3 litres, 0.58% fat and 0 - 10% protein, respectively. The four factors involved were: sampling frequency, sampling distribution, basis of compositing subsamples for compositional analyses, and the use of total weekly yields or milk yields on day(s) of sampling, for estimating yields of fat and protein. There were no substantial interactions between the 34 procedures and stage of lactation. The average difference between the estimate of weekly milk yield from any one day's yield and the true weekly milk yield (accuracy) was 7.2 litres/week. The equivalent values for fat and protein yields were 0.59 and 0.22 kg/week. When sampling frequency and measurement of milk yield was increased from one to six days per week, the accuracy of the weekly estimate of milk yield (MY) improved by 5.7 litres/week and that of fat yield (FY) by 0.49 kg/week. If total weekly milk yield was used to estimate fat yield, instead of using milk yield on days of testing only, the improvement in accuracy ranged from 0. 15 to 0.03 kg/week for one and six samplings, respectively. Two equally spaced sampling days gave a marginally better (0.74 litres/week) estimate of milk yield than two consecutive days but a marginally poorer (0.10 kg/week) estimate of fat yield. Yield weighting of subsamples for fat or protein analyses did not improve the estimate of fat yield. As the day to day variation in level of protein in the milk was low, frequency and method of sampling for protein analysis was not important but the accuracy of estimating milk yield had a large effect on estimated weekly protein yield.

scholarly journals The effect of spring shearing on milk yield and milk composition in Tsigai ewes

2011 ◽  
Vol 27 (2) ◽  
pp. 241-249
Author(s):  
Y. Aleksiev
Keyword(s):  
Milk Yield ◽  
Milk Fat ◽  
Milk Protein ◽  
Milk Composition ◽  
Daily Output ◽  
Lactose Concentration ◽  
Nutrient Partitioning ◽  
The Mean ◽  
Daily Milk Yield ◽  
Daily Milk

Milk yield and milk composition responses to shearing were assessed in Tsigai ewes kept indoors. Sheep was offered 700g/head daily concentrate and chopped hay administered ad libitum and was milked twice daily - at 08:00 and at 18:00 h. Average for the two weeks post-shearing, daily milk yield dropped by 7.2 % due to the 8.2 and 2.2 %, respectively, reduction in the morning and in the afternoon milk yields. Fat and protein concentrations in the morning and in the afternoon milk on day 1, day 7 and day 14 after shearing surpassed vastly pre-shearing values whilst milk lactose concentration showed a trend towards postshearing reduction. On the three sampling post-shearing days daily output of different milk constituents exceeded the corresponding mean pre-shearing values by 16.2, 11.6 and 9.1 % in milk fat, 1.6, 3.5 and 6.2 % in milk protein, and 4.1, 7.2 and 2.2 % in total solids. The increase in daily output of milk constituents occurred despite the decline in daily milk yield. Lactose daily output, on the contrary, dropped by 6.9, 7.7 and 9.3 % relative to the mean pre- shearing value. Postshearing adaptive adjustments including changes in nutrient partitioning appear to underlie the alterations in milk yield and milk composition. It may be concluded that post-shearing changes in milk composition makes for the improvement of milk processing characteristics.

scholarly journals Effect of season, genotype and lactation on milk yield and composition of local and crossbred dairy cows reared under different feed base region

2016 ◽  
Vol 19 (1-2) ◽  
pp. 50-65
Author(s):  
MA Baset ◽  
KS Huque ◽  
NR Sarker ◽  
MM Hossain ◽  
MN Islam
Keyword(s):  
Milk Yield ◽  
Milk Fat ◽  
Milk Protein ◽  
Block Design ◽  
Milk Composition ◽  
Base Region ◽  
Total Solids ◽  
Randomized Block Design ◽  
Daily Milk Yield ◽  
Daily Milk

A total of 160 cows, 10 cows in each of native (local cow) and crossbred (local × Holstein Friesian) origins differing in lactation were used in 2×2×2×2 factorial experiment using Randomized Block Design (RBD) to evaluate milk yield and composition of cows considering regions (good & poor feed base region), seasons (dry: Nov.–Feb. 2009 & wet: Jun.–Oct. 2009), genotypes and lactation. A “good and/or poor feed base” region was classified based on the availability of quantity and quality roughages throughout the year. The study revealed that the daily milk yield and 4% FCM of cows under good feed base condition were 6.76 and 6.49 kg, respectively and under poor feed base condition were 3.67 and 3.31 kg, respectively. Feed base region did not affect on milk fat and it was observed that the milk protein, lactose, solids-not-fat (SNF), minerals and total solids under good feed base condition were 37.9, 54.9, 100.9, 6.3 and 140.6 g/kg, respectively, whereas, under poor feed base condition the values were 36.3, 52.9, 98.0, 6.1 and 135.2 g/kg, respectively. Season did not affect milk yield and composition except minerals (6.5 g/kg vs. 5.9 g/kg). Genotypes significantly (p?0.01) influenced daily milk yield, the milk protein and minerals. Lactation did not affect milk yield and the milk protein, but influenced the fat, lactose, SNF, minerals and total solids. The interaction of feed base regions and seasons significantly (p?0.01) influenced milk yield and the milk fat and SNF. The milk protein and lactose was influenced by the interaction of feed bases region, seasons and lactation. Milk yield negatively correlated with fat per cent. The percentage of fat significantly (p?0.01) correlated with protein, lactose, SNF, and minerals %. The percentage protein correlated with lactose, SNF and minerals. Lactose % significantly (p?0.01) correlated with SNF%. It may be concluded that milk yield and composition depends on feed base region, genotype and lactation of cows. Season did not influence milk yield and the composition. Milk yield negatively correlated with the percentage of fat, protein, lactose, SNF and milk composition strongly correlated with each other.Bangladesh J. of Livestock Res. 19(1-2): 50-65, Jan-Dec 2012

scholarly journals DAY-TO-DAY VARIATIONS IN FAT PERCENT OF COW'S MILK

1990 ◽  
Vol 70 (2) ◽  
pp. 731-734 ◽  
Author(s):  
A. S. ATWAL ◽  
J. D. ERFLE
Keyword(s):  
Dairy Cows ◽  
Key Words ◽  
Milk Yield ◽  
Milk Fat ◽  
Rumen Fluid ◽  
Supplemental Feeding ◽  
Fat Percentage ◽  
Milk Fat Depression ◽  
Daily Milk Yield ◽  
Daily Milk

Large day-to-day variations in milk fat, particularly for the morning milkings, were observed in 36 Holstein cows. Changes in percent fat were gradual and produced wavelike patterns in a number of instances. Supplemental feeding of long hay had no effect on acetate/propionate ratio in rumen fluid, daily milk yield or weighted milk fat percentage. Key words: Dairy cows, milk, fat depression, hay

scholarly journals On designing the average lactation curve at the ascending phase

1962 ◽  
Vol 34 (1) ◽  
pp. 162-168
Author(s):  
Aarne Mäkelä
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Lactation Period ◽  
Lactation Curve ◽  
The Mean ◽  
The Individual ◽  
Daily Milk Yield ◽  
Daily Milk

Comparisons are made between different methods to find the peak production (maximum daily milk yield) and methods to design the average lactation curve at the ascending phase in dairy cows. It was noted that in order to determine the height and location of the maximal producing capacity of a cow in a known lactation period, it is preferable to choose the peak production as a mean of three subsequent best days. It was also noted that the usual methods for drawing the average lactation curves do not give a true picture of the height and location of the peak. The author suggests a method for determining the average lactation curve at the ascending phase by using the averages of both milk productions and times involved in reaching the peak and known fractions (e.g. 1/8, 1/4, 1/2, 3/4, and 5/4) of it. In this lactation curve the peak production is the mean of the peaks of individual cows, and the time involved in reaching it is the mean of the durations of the ascending phases of the individual cows.

A note on the effect of cyclical changes in energy intake on lactating dairy cows

1975 ◽  
Vol 21 (1) ◽  
pp. 85-88 ◽  
Author(s):  
D. S. Scrimgeour ◽  
J. K. Thompson
Keyword(s):  
Dairy Cows ◽  
Energy Intake ◽  
Milk Yield ◽  
Significant Variation ◽  
Blood Composition ◽  
Lactating Dairy Cows ◽  
Fat Yield ◽  
Daily Milk Yield ◽  
Peak Lactation ◽  
Daily Milk

SUMMARYTwelve Ayrshire cows which had reached or just passed peak lactation were selected and divided into two balanced groups. One group was fed strictly according to yield. The other was fed overall according to yield, but was subjected to a 4-day cycle of energy intake. For 2 days energy intake was 12·2% above calculated requirements and for the next 2 days intake was 12·2% below calculated requirements. The treatment was imposed for 10 weeks and milk yield and composition, body weight and blood composition were measured in both groups of cows. A significant variation in daily milk yield and daily solids-not-fat yield was found to follow the feed cycle. Blood composition showed no significant variation.

ADRENALECTOMY IN THE GOAT REPLACEMENT THERAPY AND THE MAINTENANCE OF LACTATION

1958 ◽  
Vol 16 (4) ◽  
pp. 403-414 ◽  
Author(s):  
A. T. COWIE ◽  
J. S. TINDAL
Keyword(s):  
Replacement Therapy ◽  
Milk Yield ◽  
Milk Fat ◽  
Adrenal Steroids ◽  
Milk Secretion ◽  
Fat Percentage ◽  
Lactating Goats ◽  
The Mean ◽  
Daily Milk Yield ◽  
Daily Milk

SUMMARY The mean survival period of twelve goats after adrenalectomy was 7·8±1·2 days. Adrenalectomy resulted in a progressive rise in the concentration of K and a fall of Na in the plasma. In the lactating goat there was a rapid inhibition of milk secretion and the concentration of K in the milk fell, while that of Na rose slightly as the yield dropped. Partial to complete maintenance of lactation was achieved in five lactating goats after adrenalectomy by implanting tablets of cortisone (or cortisone acetate) and deoxycorticosterone acetate (DCA), a daily absorption of at least 6–12 mg cortisone (or its acetate) and 2·5 mg DCA being required. DCA was the more critical component of the combination. During replacement therapy, when the daily milk yield had become relatively steady, the composition of the milk (fat and solids-not-fat percentages) and the Na and K concentrations in the milk were within the pre-operative ranges, but during the periods of adrenal insufficiency, when the milk yield declined, there was a concomitant rise in milk-fat percentage and a fall in milk K. These changes, however, also occurred when the milk yields fell from other causes and so they may not be directly attributable to the lack of adrenal steroids.

Dairy productivity of zaanen type goats hybrids from crossing with the nubian breed bucks

2021 ◽  
pp. 28-32
Author(s):  
М.Ю. САННИКОВ ◽  
С.И. НОВОПАШИНА ◽  
С.А. ХАТАТАЕВ ◽  
Е.И. КИЗИЛОВА
Keyword(s):  
Milk Yield ◽  
Milk Fat ◽  
Milk Protein ◽  
Goat Milk ◽  
Fat Content ◽  
Commercial Farming ◽  
Milk Protein Content ◽  
Daily Milk Yield ◽  
Qualitative Characteristics ◽  
Daily Milk

Изучена молочная продуктивность потомства I, II и III поколений при скрещивании молочных коз в типе зааненской породы с козлами нубийской породы. Установлено, что самый высокий удой за лактацию (576,5±11,62) был у чистопородных зааненских коз (n=72) — на 10,8—25,3% (P≦0,05) больше, чем у помесных животных за счет более длительной лактации (на 13,0%). Среднесуточный удой за лактацию был на 2,1% выше у помесей I поколения (n=26), чем у зааненских, на 4,9% — чем у помесей II (n=24) и на 13,5% — чем у помесей III поколений (n=21) (P≦0,05). Козоматки III поколения по содержанию жира превосходили сверстниц на 0,14—0,50 абс. процента, а белка — на 0,18—0,37 абс. процента. Среднесуточное количество молочного жира было выше у помесей I поколения на 0,9—7,3%, молочного белка — на 1,5—5,1%. За счет более продолжительного периода лактации козоматки зааненской породы превосходили своих помесных сверстниц по количеству молочного жира на 5,3—11,8% (1,2—2,5 кг) и по количеству молочного белка — на 7,7—11,3% (1,2—1,7 кг). Таким образом, поглотительное скрещивание является эффективным приемом для получения чистопородных животных нубийской породы. И может быть использовано в качестве селекционного приема в товарных хозяйствах для повышения качественных показателей молока коз в типе зааненской породы. Milk productivity of the offspring of generations I, II, and III during milk goat breeding in the type of the Saanen breed with goats of the Nubian breed was studied. It was found that the highest milk yield per lactation (576.5±11.62) was demonstrated by purebred Saanen goats (n=72) — by 10.8—25.3% (P≦0.05) more than in crossbred animals due to prolonged lactation (by 13.0%). Average daily milk yield per lactation was 2.1% higher in crossbred animals of generation I (n=26) compared to the Saanen breed, 4.9% higher than in crossbred animals of generation II (n=24), and 13.5% higher than in crossbred animals of generation III (n-21) (P≦0.05). By fat content the breeding goats of generation III are superior to their age-mates by 0.14—0.50 absolute percent, and by protein — by 0.18—0.37 absolute percent. Average daily milk fat content was 0.9—7.3% higher in crossbred animals of generation I; average daily milk protein content was 1.5—5.1% higher. Due to prolonged lactation breeding goats of the Saanen breed were superior to their crossbred age-mates in milk fat quantity by 5.3—11.8% (1.2—2.5 kg), and in milk protein quantity — by 7.7—11.3% (1.2—1.7 kg). Accordingly, accumulation cross breeding is an effective method of obtaining purebred animals of the Nubian breed. It can be used as a selection technique in commercial farming to increase qualitative characteristics of goat milk in the type of the Saanen breed.

Complete diets for dairy cows: the effect of energy concentration and change in energy concentration of a complete diet on intake and performance of lactating dairy cows

1984 ◽  
Vol 103 (2) ◽  
pp. 323-331 ◽  
Author(s):  
R. H. Phipps ◽  
J. A. Bines ◽  
R. F. Weller ◽  
Joanne Thomas
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Milk Fat ◽  
Protein Concentration ◽  
Milk Protein ◽  
Live Weight ◽  
Energy Concentration ◽  
Grass Silage ◽  
Complete Diet ◽  
The Mean

SUMMARYNinety-two British Friesians (56 cows and 36 heifers) were divided into two groups during weeks 3–10 of lactation and received ad libitum either complete diet H (65% concentrates, 35% grass silage, 11·7 MJ ME/kg D.M.) or diet M (50% concentrates, 50% grass silage, 11·2 MJ ME/kg D.M.). In weeks 11· 20 half the animals of each group continued to receive the same diet (HH or MM) while the other half were changed from diet H to M (HM) or from diet M to L (ML). Diet L contained 35% concentrates, 65% grass silage and 10·7 MJ ME/kg D.M. The crude protein concentration of all diets was maintained at about 157 g/kg D.M. by the addition of soya-bean meal to diets M and L.During weeks 3–10 the mean D.M. intake (kg/day), milk yield (kg/day), milk protein (g/kg) and live-weight change (kg/day) for animals on diets H and M were 15·0, 21·7, 33·3, 0·50 and 12·9, 20·2, 31·5, 0·35 respectively. Differences were significant for D.M. intake, milk yield and milk protein concentration. Although milk-fat concentration of cows given diet H (40·2 g/kg) was similar to that of cows given diet M (39·9 g/kg), heifers receiving diet H had a significantly lower value (37·0 g/kg) than those given diet M (39·8 g/kg).When animals were changed from diet H to M or from M to L at week 11, D.M. intake, milk yield and milk-protein concentration decreased. However, milk-fat concentration and live-weight change were generally unaffected.During the complete experimental period, weeks 3–20, animals on treatments HH, HM, MM and ML had mean D.M. intakes and milk yields of 15·3, 14·2, 13·2, 12·4 kg/day and 19·7, 18·5, 17·8, 17·0 kg/day. Milk-protein concentration, was closely related to D.M. intake, but only with heifers did diet H significantly depress milk-fat concentration. The highest live-weight gain was recorded on treatment HH (0·40 kg/day) and the lowost on treatment ML (0·29 kg/day) with intermediate values for treatments HM and MM.In vivodigestibility coefficients of D.M. and organic matter for diet H (0·731, 0·757) were significantly higher than those of diet L (0·707, 0·734) with intermediate values for diet M. However, for acid-detergent fibre the digestibility coefficient for diet H was significantly lower (0·562) than for diet L (0·662). The digestibility coefficients for nitrogen in all three diets were similar.Estimates of mean efficiency of utilization of ME for lactation were made on a weekly basis and were 0·56 and 0·64 for animals on diets H and M in weeks 3·10. During weeks 11·20 the mean values for animals on treatments HH, HM, MM and ML were 0·46, 0·53, 0·51 and 0·59, respectively.

Predicting milk responses to cereal-based supplements in grazing dairy cows

2017 ◽  
Vol 57 (4) ◽  
pp. 746 ◽  
Author(s):  
J. W. Heard ◽  
M. Hannah ◽  
C. K. M. Ho ◽  
E. Kennedy ◽  
P. T. Doyle ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Milk Production ◽  
Milk Yield ◽  
Correction Factor ◽  
Bias Correction ◽  
Milk Fat ◽  
Milk Protein ◽  
Prediction Models ◽  
Dairy Industry ◽  
Fat Yield

The feeding of cereal-based supplements is common in the Australian dairy industry, as it allows cows to increase intakes of total dry matter (DM) and metabolisable energy (ME), while achieving greater stocking rates, greater pasture utilisation and greater milk production per hectare than occurs when cows are fed pasture-only diets. However, for this practice to be profitable, it is important to know how much extra milk, milk protein and milk fat are produced for each kilogram DM consumed. This is difficult to determine in such a complex biological system. We combined information from 24 concentrate-feeding experiments using meta-analysis techniques, so as to develop improved prediction models of the milk, milk protein and milk fat produced when cereal-based concentrates are fed to grazing, lactating dairy cows. Model terms, consistent with biological processes, linear, quadratic and factorial, were selected according to statistical significance. The models were then tested in two ways, namely, their goodness of fit to the data, and their ability to predict novel production data from a further six, unrelated, experiments. A sensitivity analysis was also undertaken to determine how sensitive these predictions are to changes in key inputs. The predictive model for milk yield was shown to very closely reflect milk yield (kg/cow.day) measured under the experimental conditions in unrelated experiments (r = 0.96), with very little bias (Lin’s bias correction factor = 0.98) and high concordance (Lin’s concordance coefficient = 0.95). Predictions generated by multiplying predicted milk protein concentration by predicted milk yield closely matched observed milk protein yield (kg/cow.day) (r = 0.96, Lin’s bias correction factor = 0.98, Lin’s concordance coefficient = 0.95), and predictions found by multiplying predicted milk fat concentration by predicted milk yield closely matched observed milk fat yield (kg/cow.day) (r = 0.94, Lin’s bias correction factor = 0.99, Lin’s concordance coefficient = 0.93). Factors included in the new models for milk, milk protein and milk fat yield reported here have been identified previously as elements that can influence milk production. The value to the dairy industry from being able to predict profitable amounts of concentrates to feed at various stages throughout lactation is considerable. For farmers and their advisers, being able to apply these models to estimate the immediate marginal milk protein and milk fat responses to supplementary feeds should lead to more robust, efficient and profitable milk production systems.

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