scholarly journals Oestrus detection in dairy cows based on serial measurements using univariate and multivariate analysis

2003 ◽  
Vol 46 (2) ◽  
pp. 127-142 ◽  
Author(s):  
R. Firk ◽  
E. Stamer ◽  
W. Junge ◽  
J. Krieter
Keyword(s):  
Electrical Conductivity ◽  
Time Series ◽  
Milk Yield ◽  
Flow Rate ◽  
Error Rate ◽  
Multivariate Analyses ◽  
Moving Average ◽  
Dairy Farm ◽  
Activity Data ◽  
Milk Flow

Abstract. As visual oestrus detection is difficult to perform in large herds, different technical devices were developed to facilitate oestrus detection. In this investigation the significance of the traits activity, milk yield, milk flow rate and electrical conductivity due to oestrus was analysed. The traits were recorded automatically during each milking on a commercial dairy farm. Oestrus detection was performed for 862 cows on basis of time series consisting of 15 days before oestrus, the day of oestrus and 15 days after oestrus. The day of oestrus was determined by the insemination which caused a calving after 265 to 295 days. The univariate analyses of traits were performed by the time series methods day-to-day comparison, moving average, exponential smoothing and Box-Jenkins three parameter smoothing. For multivariate analyses a fuzzy logic model was developed and modified for the different combinations of traits. The efficiency of the detection models and traits was determined by the parameters sensitivity, specificity and error rate. A moving average was the best suited time series method for oestrus detection by activity data. Sensitivity ranged between 94.2 and 71% and error rate was between 53.2 and 21.5% for threshold values between 40 and 120%. The traits milk yield, milk flow rate and electrical conductivity were not suitable for univariate oestrus detection. Depending on the considered traits multivariate analyses resulted in sensitivities between 87.0 and 87.9%. The error rate varied between 28.2 and 31.0%. Further analyses should include previous information such as time since last oestrus.

scholarly journals Systematic effects on activity, milk yield, milk flow rate and electrical conductivity

2002 ◽  
Vol 45 (3) ◽  
pp. 213-222 ◽  
Author(s):  
R. Firk ◽  
E. Stamer ◽  
W. Junge ◽  
J. Krieter
Keyword(s):  
Electrical Conductivity ◽  
Milk Yield ◽  
Flow Rate ◽  
Fixed Effects ◽  
Random Effect ◽  
Dairy Farm ◽  
Skewed Distribution ◽  
Milk Flow ◽  
Milking Frequency ◽  
Calving Season

Abstract. The traits activity, milk yield, milk flow rate and electrical conductivity were analysed in preparation for automatic oestrus detection. Collection of data was performed on a commercial dairy farm and milking took place in a rotary milking parlour. Between February and December 1998 1,090,031 observations from 2,422 Holstein Friesian cows were accumulated. Around 30% of cows were milked thrice daily. For each trait and each cow a daily value was calculated. The fixed effects test day, parity, calving season, milking frequency, week of lactation and the random effect cow were considered in statistical analyses. With increasing number of parity, activity decreased and milk yield, milk flow rate and electrical conductivity increased. The milking frequency had significant influence on all analysed traits and for the effect calving season no consistent trend was found. All traits showed characteristic patterns during lactation. Between test days high variations were found for the trait activity. The remaining traits showed a steady level except for small fluctuations. Repeatability was 27.4% for activity and between 70 and 78.7% for the milk parameters. The repeatabilities verified the collected field data having a satisfying structure for application in automatic oestrus detection. The repeatability of the trait activity indicated high differences between and within cows. The right skewed distribution indicated the activity as a promising trait for further analyses.

scholarly journals Milkability evaluation of Holstein dairy cows by Lactocorder

2011 ◽  
Vol 28 (2) ◽  
pp. 139-146 ◽  
Author(s):  
Peter Strapák ◽  
Peter Antalík ◽  
Iveta Szencziová
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Flow Rate ◽  
Flow Characteristics ◽  
Detailed Comparison ◽  
Milk Flow ◽  
Lactation Stage ◽  
Total Milk ◽  
Positive Correlations ◽  
Holstein Dairy Cows

Milkability evaluation of Holstein dairy cows by LactocorderThe aim of this work was to evaluate chosen milk flow characteristics of Holstein dairy cows, using mobile electronic milk flow meters - Lactocorders. A total of 181 Holstein dairy cows were evaluated and divided according to parity, lactation stage and bimodality in order to carry out a detailed comparison of measured milkability traits. The average total milk yield was 11.98±3.41 kg per milking with an average milk flow rate of 2.52±0.75 kg min-1 and a maximum milk flow rate of 3.94±1.30 kg min-1. The total milk yield showed positive correlations with the average milk flow rate (r = 0.48; P<0.001) and also with the maximum milk flow rate (r = 0.32; P<0.001). More than 47% of milk flow curves were classified as bimodal. Bimodality was positively correlated with the duration of the incline phase (r = 0.73; P<0.001) and negatively correlated with the quantity of milk obtained during the first minute of milking (r = -0.34; P<0.001). In relation to the lactation stage - the highest average milk flow rate was reached by Holstein dairy cows at the beginning of the lactation (up to 100 days in milk), and in relation to parity - the highest milk flow rates were measured in second-lactation dairy cows.

scholarly journals ANALISIS MODEL MANAJEMEN PERMINTAAN SCM NETWORK DAN PERAMALAN PERMINTAAN PADA PENJUALAN BUSANA MUSLIM MENGGUNAKAN METODE LINEAR REGRESSION

2021 ◽  
Vol 5 (1) ◽  
pp. 28-32
Author(s):  
Vela Maghfiroh ◽  
◽  
Yusuf Amrozi ◽  
Qushoyyi Bondan Prakoso ◽  
Mochamad Adam Aliansyah
Keyword(s):  
Time Series ◽  
Supply Chain ◽  
Data Analysis ◽  
Linear Regression ◽  
Error Rate ◽  
Moving Average ◽  
Bullwhip Effect ◽  
Lifestyle Changes ◽  
Linear Regression Method ◽  
Analysis Techniques

Supply chain management is very important for a company because it will affect supply performance in the company. Doing business in this era has many challenges that must be faced, especially in the Muslim clothing business. The way to stabilize the demand diagram of the Muslim clothing business, retailers are required to manage the supply chain so that they can meet the total demand. The object of this research is Rabbani Cirebon which was obtained from a literature study published in a journal entitled "Trend of Muslim Lifestyle Changes" from Banjarmasin State Polytechnic. The journal has sales data based on product types from monthly in 2016. From this data will be processed and analyzed using data analysis techniques. This data analysis technique uses time series forecasting data analysis techniques. From this time series method, this research uses moving average and linear regression. After modeling the data, the forecast error is measured using MAD, MAPE, RMSE, and MSE. The overall MSE results were 103731.8 and RMSE 322.0743. The benefit of demand forecasting is to reduce the Bullwhip Effect, plan future resources, for example, such as stock management, place control, product distribution, and demand for raw materials so as to make the right decisions. The results showed that the linear regression method has better forecasting than the moving average because linear regression has a smaller error rate than the moving average. But even so, the error rate of this study is still very large, so it is necessary to do more research to minimize the error rate.

Effects of Milking Methods on Milk Yield, Milk Flow Rate, and Milk Composition in Cow

2020 ◽  
Vol 10 (1) ◽  
pp. p9765
Author(s):  
Anand Mishra ◽  
Shailendra Khatri ◽  
Sanjeet Kumar Jha ◽  
Shamshad Ansari
Keyword(s):  
Milk Yield ◽  
Flow Rate ◽  
Milk Composition ◽  
Milk Flow

scholarly journals Interruption of machine milking in dairy cows: effects on intramammary pressure and milking characteristics

1995 ◽  
Vol 62 (4) ◽  
pp. 559-566 ◽  
Author(s):  
Hans-Ulrich Pfeilsticker ◽  
Rupert M. Bruckmaier ◽  
Jürg W. Blum
Keyword(s):  
Milk Yield ◽  
Flow Rate ◽  
Removal Rate ◽  
Total Yield ◽  
Machine Milking ◽  
Ejection Rate ◽  
Milk Flow ◽  
Total Milk ◽  
Series Of Experiments ◽  
Milking Machine

SUMMARYExperiments were designed to test the hypothesis that milk ejection rate decreases during milking, thereby causing insufficient refill of the cistern and decreasing milk flow rate towards the end of milking. In a first series of experiments machine milking of the left front quarters of 11 cows was interrupted for 2 min after removal of 25, 50 or 75% of expected total milk yield, while milking was continued in the other three quarters. Milk flow was recorded during machine-on times. Intramammary pressure (IMP) was recorded during premilking teat stimulation and during interruption of milking. IMP during interruption of milking decreased with decreasing amounts of milk remaining in the udder. The IMP did not change during these interruptions when they occurred after 25 and 50% of expected total milk yield was removed. Thus, the ejection rate could keep up with the milk flow or removal rate. However, IMP increased during interruption of milking following removal of 75% of total yield, although significantly so only in cows with a high milk flow rate. Obviously, more milk was removed than was transported to the cisternal cavity. It is likely that a reduced ejection rate caused the decreased milk flow rate. In a second series of experiments the pulsation ratio of the milking machine was changed from the usual 70:30 to 50:50 with the aim of reducing the milk flow rate and thus adapting to the ejection rate at the end of milking. The changed pulsation ratio caused a reduced peak flow rate and a prolonged high milk flow period, whereas the main flow rate did not change significantly.

scholarly journals Pre-milking mechanical teat stimulation and milking performance of dairy buffaloes in early lactation

2017 ◽  
Vol 48 (1) ◽  
pp. 53-55
Author(s):  
Francesco Maria Tangorra ◽  
Stefania Leonardi ◽  
Valerio Bronzo ◽  
Nicola Rota ◽  
Paolo Moroni
Keyword(s):  
Milk Yield ◽  
Flow Rate ◽  
Peak Flow ◽  
Early Lactation ◽  
Peak Flow Rate ◽  
Flow Rates ◽  
Enhancing Effect ◽  
Milk Flow ◽  
Total Milk ◽  
Automatic Removal

The objective of the present study was to investigate the effect of pre-milking mechanical teat stimulation on milk yield and milking performance of dairy buffaloes in early lactation. For this purpose, twenty-two healthy Italian Mediterranean buffaloes in their first to third lactation and in early lactation (<120 days in milk) were subjected to two treatments of teat stimulation: i) washing of the teats with water for about 5 s and attaching of the milking unit within 60 s, without any pre-milking massage (farm milking routine); ii) fast pulsation (FP), achieved by increasing pulsation rate to 120 pulsations per min during the first 60 s after application of teat cups. Each treatment lasted for 10 days and the following parameters were measured: milk yield (kg/milking), milk yield at 2 min after unit attachment (kg), time between milking unit attachment and its automatic removal (min), peak milk flow rate (kg/min), and milking time to reach peak flow rate (min). The average milk flow rate (kg/min) was calculated by dividing milk yield by the actual milking time. Milk yield was not affected by mechanical pre-stimulation and during the first 2 min of milking 20.2% and 19.6% of total milk yield were milked respectively when treatments 1 and 2 were applied. The time elapsed from attachment of the milking cluster until its automatic removal was less than 8 min both for buffaloes subjected to FP, and for buffaloes subjected just to washing of the teats before attaching the milking unit. FP stimulation did not show an enhancing effect on peak and average milk flow rates and on milking time to reach peak flow rate.

Relationship between numbers of α2- and β2-adrenoceptors on blood cells of bulls and milkability of their daughters

1995 ◽  
Vol 62 (4) ◽  
pp. 567-575 ◽  
Author(s):  
Eddy Roets ◽  
Christian Burvenich ◽  
Jorn Hamann
Keyword(s):  
Milk Yield ◽  
Flow Rate ◽  
Blood Cells ◽  
Blood Platelets ◽  
Genetic Studies ◽  
Milk Flow ◽  
Cgp 12177 ◽  
Mononuclear Leucocytes ◽  
Highly Correlated

SUMMARYMilk yield and milking time were measured on one occasion for several daughters (n = 6–44) from 16 bulls at morning milkings. Blood from the bulls was collected, and platelets and mononuclear leucocytes were isolated. The α2-adrenoceptors on platelet membranes were identified by binding of [3H]rauwolscine, whereas for the determination of β2-adrenoceptors on intact mononuclear leucocytes, [3H]CGP–12177 was used. It was found that mean milk flow rate was highly correlated (P < 0·001) with the α2-adrenoceptor densities on blood platelets. No correlation was found with the β2-adrenoceptors on mononuclear leucocytes. It is concluded that estimation of the α2-adrenoceptors on blood platelets from bulls could eventually be used to investigate milking characteristics of cows, and might be useful in the future as a marker in genetic studies.

Effect of hydraulic milking on milking performance, teat condition and lipolysis

1989 ◽  
Vol 56 (1) ◽  
pp. 45-53 ◽  
Author(s):  
Robert J. Grindal ◽  
Tony K. Griffin
Keyword(s):  
Milk Yield ◽  
Flow Rate ◽  
Degree Of Protection ◽  
Milk Flow ◽  
High Degree ◽  
Different Levels

SummaryThe term ‘hydraulic milking’ describes a new milking concept in which liner movement is restricted and the liner is flooded with milk beneath the teat. This condition, achieved with a multi-valve claw without air admission to the cluster, reduced milking time by 26% and increased milk flow rate by 20%. Four experiments describe the discovery of hydraulic milking and investigate its potential using equal or different levels of vacuum in the milkline and pulseline. Benefits from hydraulic milking include decreased lipolysis (≤36%) and milk foam (75%), improved teat condition and a high degree of protection against machine-induced infections. Evidence of increased milk yield is inconclusive. Cluster removal is impeded by hydraulic milking and the multi-valve cluster requires modification to facilitate the process. Pulsation characteristics and vacuum levels developed for conventional milking appear adequate for hydraulic milking. Unorthodox vacuum conditions may be needed, however, to exploit fully this novel milking concept.

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