scholarly journals PRODUKSI SUSU SAPI PERAH FRIESIAN HOLSTEIN (FH) PADA PERIODE LAKTASI YANG BERBEDA (Milk Production of Friesian Holstein (FH) Cows at Different Lactation Periods)

2020 ◽  
Vol 8 (2) ◽  
pp. 79-84
Author(s):  
Ali Mahmud ◽  
Woro Busono ◽  
Puguh Surjowardojo ◽  
Yuli Arif Tribudi

This research was conducted in PT Greenfields Indonesia, Babadan Village, Ngajum Districts, Malang, East Java. The purpose of the study was to compare the milk production of FH (Friesian Holstein) dairy cows in various lactation periods. The material used in this research was data records of Australian FH, which have been developed in the Greenfields Indonesia farm. The data used were from 473 dairy cows, which consisted of 100 heads for each lactation period from the period I up to period IV and 73 heads for lactation period V. The variables measured were milk production 305 day 2X ME, daily milk yield production, peak day production, and the peak lactation. The data were analyzed using analysis of variance, and if the result showed differences, the analysis was continued using the Duncan test. The results showed that the increase in the lactation period significantly (P<0.01) decreased milk production and increased the duration of lactation peaks of FH cows. The highest milk production 305 day 2X ME was in the lactation period II, which was around 10232.90 ± 1036.62 kg/lactation or 32 ± 5.13 kg/day. In this period, the peak day in milk lactation was 71.5 ± 27.5 days, and the peak of milk production was 45.7 ± 4.1 kg/day. In conclusion, milk production increased from the first lactation period to the second lactation period and then decreased in subsequent periods. The peak of the first lactation period was reached longer, then falls in the second lactation period and then increases again at the following lactation period

Author(s):  
Martina Vaculíková ◽  
Irena Komzáková ◽  
Gustav Chládek

The aim of this study was to evaluate the influence of low air temperature on behaviour and milk production in Holstein dairy cows. The experiment was carried out at a Mendel University Farm in Žabčice, CZ, between 06‑12‑16 and 28‑02‑17. The average outdoor temperature during the above mentioned period was 2.3 °C and the average barn temperature was 1.8 °C. Other known microclimatic parametres were (in average values): relative humidity (56.9 %), refrigerating quantity (37.3 W.m−2), light intensity (326.7 lx), and air flow (0.1 – 0.4 m.s−1). The values were always measured at 10:00 am. In the experiment, 75 Holstein dairy cows were observed. These cows were housed in free‑stall housing stable in which the number of boxes was higher than the number of housed cows there. The observed dairy cows were either standing (43.8 %) or lying (56.2 %). In case, they were standing, the most of them were found at trough (50.4 %), less of them were found in corridor (30.0 %), and the least of them were found in their boxes. In case, the dairy cows were lying, it was found more of them were lying on their left body side (58.7 %) and less on their right body side (43.8 %). The number of dairy cows standing in boxes had a decreasing character. Concerning the daily milk yield values, these had the same trend as the barn temperature, i.e., in 9 out of 11 cases. In this case (temperature range), the amoung of daily milk yield seems to be the best assessment factor for the infuence of temperature. It is necessary to dedicate attention to air temperature range, in which the experiment was carried out.


1962 ◽  
Vol 34 (1) ◽  
pp. 162-168
Author(s):  
Aarne Mäkelä

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.


1975 ◽  
Vol 21 (1) ◽  
pp. 85-88 ◽  
Author(s):  
D. S. Scrimgeour ◽  
J. K. Thompson

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.


2007 ◽  
Vol 87 (3) ◽  
pp. 285-289 ◽  
Author(s):  
Nilufer Sabuncuoglu ◽  
Omer Coban

The objectives of this study were to determine the relationship between udder floor area (UFA) and milk production traits in dairy cows, pre- and post-milking, as well as to examine the usefulness of a simple method of measuring UFA. The absolute reduction (AR, cm2) and relative reduction (RR, %) in UFA post-milking relative to pre-milking was calculated. Absolute reduction was influenced by breed and lactation stage, but not by parity of the cows (P < 0.05). There was no effect of breed and stage of lactation on the RR of UFA. Moderate correlations were observed between absolute reduction of UFA and daily milk yield (r2 = 0.422), lactation milk yield (r2 = 0.426), and absolute fat yield (r2 = 0.515) (P < 0.01 and P < 0.05). Moderate and weak correlations were found between RR of UFA and daily milk yield (r2 = 0.335) (P < 0.01), AR of the udder area and the 305-d lactation milk yield (r2 = 0.326) (P < 0.10). It was concluded that measuring UFA using the method described may be useful for the selection of dairy cattle mammary conformation traits. Key words: Dairy cow, udder and teat conformation, milk production traits, measurement technique


2016 ◽  
Vol 39 (2) ◽  
pp. 185-192 ◽  
Author(s):  
Metodija Trajchev ◽  
Dimitar Nakov ◽  
Sreten Andonov

AbstractThe primary objective of this research was to evaluate the impact of environmental air temperatures on the milk production of dairy cows. Therefore, the experiment was carried out at the height of summer (from 15th of June to 15th of September) in three small family dairy farms and one commercial dairy farm. In total, 51 dairy cows from the black-white breed were subjected to the study. The season of research was divided into three periods: the period before the hot season, the period of the hot season and the period after the hot season. In each period there were three test days selected that were used for recording the air temperature inside and outside the barns and cow’s daily milk yield. Unvaried associations between the test day milk yield of cows and independent environmental and cow factors were done using the linear mixed model for repeated measurements. The statistical model showed that the farm management system and the hot season of the year had significant influence on daily milk yield per cow at the level of p<0.001. The test day per periods of the season when milk control was performed and the average test day environmental temperature showed statistically significant influence on daily milk yield per cow at level p<0.01. The present results revealed that environmental air temperatures contributes to considerable loss in the milk production of dairy cows.


Animals ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 518 ◽  
Author(s):  
Darwin Arcos-Álvarez ◽  
Jorge Canul-Solís ◽  
Ricardo García-Herrera ◽  
Luis Sarmiento-Franco ◽  
Ángel Piñeiro-Vazquez ◽  
...  

The study aimed to evaluate the relationship between udder measurements and milk yield (MY) in dairy Pelibuey ewes. Udder measurements were taken twice a week for eight weeks before (initial) and after (final) milking, including udder depth (UD), udder circumference (UC), udder width (UW), teat length (TL) and teat diameter (TD) in 38 multiparous ewes. Additionally, udder volume (UV) and the difference (VDF) between initial UV (UVi) and final (UVf) was calculated as VDF = UVi − UVf. The MY varied from 0.10 kg/d to 1.04 kg/d, with a mean of 0.39 kg/d, ± 0.18 kg/d. Initial UC (UCi) ranged from 25.80 cm to 53.30 cm, and VDF varied from 1 cm3 to 2418 cm3. The TL and TD were not correlated with MY (p > 0.05), while UCi, UVi and VDF were positively correlated with MY (p < 0.0001; r = from 0.66 to 0.74). For the prediction of MY, the obtained equations had an r2 ranging from 0.54 to 0.63. The UCi, UDf, UWi and UWf were included in these models (p < 0.05). It is concluded that there was an acceptable correlation (r = 0.60) between the measurements of the udder, the volume of the udder and the daily milk yield in Pelibuey sheep. When direct measurements of milk production cannot be performed in practice, the measurement of udders and their volume could be a viable alternative to estimate milk yield production as an indirect method.


2005 ◽  
Vol 72 (1) ◽  
pp. 101-106 ◽  
Author(s):  
Alex Bach ◽  
Isabel Busto

A database consisting of 35291 milking records from 83 cows was built over a period of 10 months with the objectives of studying the effect of teat cup attachment failures and milking interval regularity on milk production with an automated milking system (AMS). The database collected records of lactation number, days in milk (DIM), milk production, interval between milkings (for both the entire udder and individual quarters in case of a teat cup attachment failure) and average and peak milk flows for each milking. The weekly coefficient of variation (CV) of milking intervals was used as a measure of milking regularity. DIM, milking intervals, and CV of milking intervals were divided into four categories coinciding with the four quartiles of their respective distributions. The data were analysed by analysis of variance with cow as a random effect and lactation number, DIM, the occurrence of a milking failure, and the intervals between milkings or the weekly CV of milking intervals as fixed effects. The incidence of attachment failures was 7·6% of total milkings. Milk production by quarters affected by a milking failure following the failure was numerically greater owing to the longer interval between milkings. When accounting for the effect of milking intervals, milk production by affected quarters following a milking failure was 26% lower than with regular milkings. However, the decrease in milk production by quarters affected by milking failures was more severe as DIM increased. Average and peak milk flows by quarters affected by a milking failure were lower than when milkings occurred normally. However, milk production recovered its former level within seven milkings following a milking failure. Uneven frequency (weekly CV of milking intervals >27%) decreased daily milk yield, and affected multiparous more negatively than primiparous cows.


Author(s):  
C. Balan ◽  
M. Thirunavukkarasu

Background: Various mathematical models have been tried by different researchers to fit the lactation curves in indigenous, exotic and crossbred cows maintained in organised farms only. Hence, this study was aimed to fit various lactation models and to identify the best fit model (s) for prediction of milk production in crossbred dairy cows in field conditions.Methods: Multistage random sampling procedure was used for selection of 100 dairy cows for the purpose of data collection. The monthly milk yield data (up to 10 months of lactation) of the selected crossbred cows reared in field conditions of Tamil Nadu State, relating to the period from 2017-20, were collected for lactation curve modelling. The milk data so collected were used to fit 14 lactation curve models in the study. The highest Coefficient of Determination (R²) value and the least Root Mean Square Error (RMSE) value were used as the criteria to select the best fit model(s).Result: The overall average total milk production was estimated to be 2223.19 kg per lactation in 10 months of lactation in the selected crossbred cows. Average daily milk yield at the first month of lactation was 9.16 kg and the highest daily milk yield of 9.56 kg was observed at the second month of lactation. At the end of the lactation, the lowest yield was 5.01 kg per day and hence the overall average daily milk yield was found to be 7.41 kg. Based on the selection criteria, the Mitscherlich X Exponential model was identified as the best fit model, followed by Ali and Schaeffer and Morant and Gnanasakthy model for prediction of milk production in crossbred dairy cows reared in field conditions and the estimated lactation curve model parameters a, b, c and d values for the best fit model were 331.71, 1519.82, 9.56 and 0.07 kg, respectively. 


Author(s):  
M. M. Shabaan M. M. Shabaan

This study aimed to evaluate the effects of heat stress on productive and reproductive performances in Holstein dairy cows during summer compared to winter seasons. During each seasons, temperature–humidity index (THI), rectal temperature, and respiration rate were recorded for 105 days. Daily milk yield (Kg/day) was recorded for 5 consecutive months each season. Serum cholesterol, glucose, urea and progesterone (P4) concentrations were determined around the times of inseminations. Conception rate to first insemination (CR/AI), overall pregnancy rate, number of services per conception (NSPC) and number of days open (DO) were determined each season. Values of THI, rectal temperatures and respiration rate were greater in summer than winter. Daily milk yield was greater in winter months compared to summer. Serum glucose and urea concentrations were greater in summer than winter during the dry period and at the times of GnRH and PGF injections. However, cholesterol was greater in winter during GnRH and PGF injection times. Serum P4 concentrations were not affected by GnRH treatment in summer, whereas GnRH injection increased P4 concentration during winter season. More winter cows conceived to first AI and required less number of services per conception and had fewer days open compared to summer cows.


2010 ◽  
Vol 27 (2) ◽  
pp. 111-119 ◽  
Author(s):  
Jan Miciński ◽  
Grzegorz Zwierzchowski ◽  
Wojciech Barański ◽  
Magdalena Gołębiowska ◽  
Miroslav Maršálek

Locomotor activity and daily milk yield of dairy cows during the perioestrous period in successive lactationsThe experiment was conducted in a herd of high-producing Holstein-Friesian cows, using the AfiFarm Herd Management Software, to analyze their locomotor activity during 236 oestruses in relation to the daily milk yield determined during the periooestrous period in four successive production and reproductive cycles. Day "0" was the day of the observed oestrus. Locomotor activity and milk production levels were monitored five days before and five days after oestrus. A correlation was noted between high milk yield and the reproductive performance of cows. An increase in milk yield was accompanied by extended inter-pregnancy and inter-calving intervals and a drop in the insemination index which also tended to decrease in multiparous cows. Primiparous and the highest-yielding cows were characterized by the highest levels of locomotor activity. The physical activity of cows increased by around 67% during oestrus. However, daily milk yield declined at oestrus, compared with the average milk production levels determined five days before and five days after oestrus in each lactation. The installation of pedometers supported the detection of oestrus, including silent oestrus, in dairy cows, and the AfiFarm system was found to be an effective tool for dairy farming and herd management.


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