scholarly journals Determination of starting level of heat stress on daily milk yield in Holstein cows in Bursa city of Turkey

2018 ◽  
Vol 65 (2) ◽  
pp. 193-198 ◽  
Author(s):  
DURU Serdar
Keyword(s):  
Heat Stress ◽  
Milk Yield ◽  
Holstein Cows ◽  
Daily Milk Yield ◽  
Daily Milk

Determination of heat stress zone for daily milk yield using carryover heat effect model in Murrah buffaloes

2021 ◽  
Vol 53 (5) ◽  
Author(s):  
Ramandeep Kaur Dhaliwal ◽  
Puneet Malhotra ◽  
Neeraj Kashyap ◽  
Shakti Kant Dash ◽  
Lakhvir Kaur Dhaliwal ◽  
...  
Keyword(s):  
Heat Stress ◽  
Milk Yield ◽  
Heat Effect ◽  
Murrah Buffaloes ◽  
Effect Model ◽  
Stress Zone ◽  
Daily Milk Yield ◽  
Daily Milk

scholarly journals Effects of Some Environmental Factors on Milking Time Milk Yield in Red Holstein Cows

2017 ◽  
Vol 5 (8) ◽  
pp. 917
Author(s):  
Atakan Koc
Keyword(s):  
Heat Stress ◽  
Environmental Factors ◽  
Milk Yield ◽  
Dairy Farm ◽  
Holstein Cows ◽  
The Third ◽  
Morning Milk ◽  
Daily Milk Yield ◽  
Daily Milk

The purpose of this study is to investigate the environmental factors on the milking time milk yield of Red Holstein cows. For this aim, 172,826 morning milk yield (MMY) and 172,771 evening milk yield (EMY) data collected between 2001 and 2010 from a dairy farm in Aydin Province, Turkey were used. The THI is over 72 from June to August in the region. The effects of calving month, calving year, parity, lactation month and milking month on MMY and EMY were found to be statistically significant. For every month, year and parity, the MMY means were higher than those of the EMY. The peak daily milk yield was determined on the 46th day of lactation (31.7±0.013 kg). For parity, the highest milk yield means were detected for the third parity: 13.69±0.023 kg for MMY and 11.70±0.021 kg for EMY. In conclusion, taking precautions to protect the cows from heat stress especially for the cows calved in summer and keeping the milking interval equal for whole year would help increasing the milk yield.

scholarly journals Determination of the Effect of Daily Production Level of Primiparous Holstein Cows on Response to Heat Stress Conditions (THI Threshold) in Eastern Croatia

2018 ◽  
Vol 19 (2) ◽  
pp. 89 ◽  
Author(s):  
Ivana Jožef ◽  
Maja Gregić ◽  
Tina Bobić ◽  
Božo Važić ◽  
Vesna Gantner
Keyword(s):  
Heat Stress ◽  
Milk Yield ◽  
Stress Conditions ◽  
Least Square ◽  
Production Level ◽  
Holstein Cows ◽  
Daily Production ◽  
Significant Drop ◽  
Daily Milk Yield ◽  
Daily Milk

The goal of this paper was to determine the effect of daily production level of primiparous Holstein cows kept on dairy cattle farms in Eastern Croatia on response to heat stress conditions (THI threshold). With that purpose, individual test-day records with data on ambient temperature and relative humidity in the barns were analysed. Data were collected in regular milk recording from 2006-2012. The THI threshold values for daily milk yield were determined by least square analyses of variance for each given THI value (from 68 to 72) using the PROC MIXED (SAS). Low producing cows experienced significant drop at THI=68, while in high producing primiparous Holsteins first significant drop in daily milk yield was observed when THI=69. Also, the amount of daily production drop depended on cow’s production level (0.155-0.256 kg/day in high producing; 0.319-0.460 kg/day in low producing). It could be concluded that the response of primiparous Holstein cows kept in Eastern Croatia to heat stress conditions depends on daily production level.

scholarly journals Effects of Sprinkler Flow Rate on Physiological, Behavioral and Production Responses of Nili Ravi Buffaloes during Subtropical Summer

Animals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 339
Author(s):  
Musa Bah ◽  
Muhammad Afzal Rashid ◽  
Khalid Javed ◽  
Talat Naseer Pasha ◽  
Muhammad Qamer Shahid
Keyword(s):  
Heat Stress ◽  
Milk Yield ◽  
Flow Rate ◽  
Rectal Temperature ◽  
Latin Square ◽  
Flow Rates ◽  
Group Water ◽  
Humidity Index ◽  
Daily Milk Yield ◽  
Daily Milk

Water buffaloes wallow in water to combat heat stress during summer. With the decreasing reservoirs for wallowing, the farmers use sprinklers to cool the buffaloes in Pakistan. These sprinklers use a large quantity of groundwater, which is becoming scarce. The objective of the current study was to determine the effect of different sprinkler flow rates on the physiological, behavioral, and production responses of Nili Ravi buffaloes during summer. Eighteen buffaloes were randomly subjected to three sprinkler flow rate treatments in a double replicated 3 × 3 Latin square design. The flow rates were 0.8, 1.25, and 2.0 L/min. During the study, the average afternoon temperature humidity index was 84.6. The 1.25 and 2.0 L/min groups had significantly lower rectal temperature and respiratory rates than the 0.8 L/min group. Water intake was significantly higher in the 0.8 L/min group. Daily milk yield was higher in the 1.25 and 2.0 L/min groups than in the 0.8 L/min group. These results suggested that the sprinkler flow rates > 0.8 L/min effectively cooled the buffaloes. The sprinkler flow rate of 1.25 L/min appeared to be more efficient, as it used 37.5% less water compared to the 2.0 L/min.

scholarly journals Modeling Daily Milk Yield in Holstein Cows Using Time Series Analysis

1990 ◽  
Vol 73 (2) ◽  
pp. 539-548 ◽  
Author(s):  
H.A. Deluyker ◽  
R.H. Shumway ◽  
W.E. Wecker ◽  
A.S. Azari ◽  
L.D. Weaver
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Milk Yield ◽  
Holstein Cows ◽  
Series Analysis ◽  
Daily Milk Yield ◽  
Daily Milk

scholarly journals Is rumenocentesis a safe technique to collect rumen fluid in dairy cows?

2018 ◽  
Vol 69 (3) ◽  
pp. 1135 ◽  
Author(s):  
N. PANOUSIS ◽  
G. KITKAS ◽  
G. E. VALERGAKIS
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Rumen Fluid ◽  
Small Diameter ◽  
Dairy Farm ◽  
Holstein Cows ◽  
Short Term ◽  
Safe Technique ◽  
Daily Milk Yield ◽  
Daily Milk

Subacute ruminal acidosis is a major issue in dairy cattle and a definite diagnosis is only established by measuring the rumen fluid pH, most credibly collected by rumenocentesis. However, due to its invasive nature, there is still some debate whether it is a safe method or poses risks for cows’ health and welfare. The aim of the study was to retrospectively evaluate the safety of rumenocentesis as a technique to obtain rumen fluid in dairy cows. Results were derived from 2 studies. In study 1, rumenocentesis was performed in 153 Holstein cows from 12 herds, once, between 10 and 90 days in milk (DIM). In study 2, 83 Holstein cows from a dairy farm were repeatedly subjected to rumenocentesisat 30, 90 and 150 DIM. From the 83 cows that were initially enrolled, 8 were culled before the end of the study for reasons irrelative to rumenocentesis; therefore, 236 rumenocenteses were actually performed in study 2 (3 times in 75 cows, twice in 3 cows and once in 5 cows). All cows were monitored for 10 days after rumenocentesis for presence of complications. In addition, daily milk yield was automatically recorded for each cow in study 2 to detect any possiblepost-rumenocentesis short-term reduction of milk yield. Minor only complications were recorded in 7 cases: in 4/153 (2.61%) and 3/236 (1.27%) rumenocenteses in studies 1 and 2, respectively. Small diameter abscesses in 6 cows (3 in study 1 and 3 in study 2) and a larger one in 1 cow in study 1 were observed. The 3 small abscesses in study 2 were all recorded after the 1st rumenocentesis, at DIM 30. All 7 cases were resolved spontaneously within two weeks. Moreover, short-term daily milk yield of study 2 cows was not affected by rumenocentesis. The conclusion is that rumenocentesis is a safe technique to collect small volume of rumen fluid for SARA diagnosis, which does not compromise cows’ health and welfare when appropriately performed.

scholarly journals The Effect of Ambient Temperature on Conception and Milk Performance in Breeding Holstein Cows

2017 ◽  
Vol 65 (5) ◽  
pp. 1515-1520 ◽  
Author(s):  
Kristýna Klementová ◽  
Radek Filipčík ◽  
Martin Hošek
Keyword(s):  
Ambient Temperature ◽  
Dairy Cows ◽  
Milk Yield ◽  
Winter Season ◽  
Conception Rate ◽  
Holstein Cows ◽  
Experimental Population ◽  
Conception Rates ◽  
Daily Milk Yield ◽  
Daily Milk

The aim of this study was to identify the effect of ambient temperature and season of the year on conception difficulties in Holstein cattle. The experiment was conducted on the School farm in Žabčice. Data were collected from July 2016 to January 2017. Experimental population counted 263 breeding Holstein cows, which were inseminated during the observation period. Results of this study confirmed the effect of temperature and season on conception rates in dairy cows. In winter season, successful conception was recorded in 56.36 % of cows in average ambient temperature 1.48 °C, in summer season the conception rate was only 40.43 % in average daily temperature 18.96 °C. A more detailed analysis revealed the highest conception rates in the dairy cows in January (88.24 %) and February (91.67 %). On the contrary, the worst results were recorded in September (22.73 %) and October (28.57 %). Evaluation of conception rate according to ambient temperature intervals showed best results for the temperatures below 5 °C. A part of the study was also evaluation of an association between daily milk yield and conception rate. This hypothesis cannot be conclusively confirmed, because milk yield was mostly similar in both groups (pregnant and non‑pregnant) on the days of insemination. The effect of lactation order and mean daily milk yield on the conception rate in cows was not confirmed.

scholarly journals Quantifying the effect of heat stress on daily milk yield and monitoring dynamic changes using an adaptive dynamic model

2011 ◽  
Vol 94 (9) ◽  
pp. 4502-4513 ◽  
Author(s):  
G. André ◽  
B. Engel ◽  
P.B.M. Berentsen ◽  
Th.V. Vellinga ◽  
A.G.J.M. Oude Lansink
Keyword(s):  
Heat Stress ◽  
Dynamic Model ◽  
Milk Yield ◽  
Dynamic Changes ◽  
Adaptive Dynamic ◽  
Daily Milk Yield ◽  
Daily Milk

scholarly journals Random Forest Modelling of Milk Yield of Dairy Cows under Heat Stress Conditions

Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1305
Author(s):  
Marco Bovo ◽  
Miki Agrusti ◽  
Stefano Benni ◽  
Daniele Torreggiani ◽  
Patrizia Tassinari
Keyword(s):  
Machine Learning ◽  
Heat Stress ◽  
Random Forest ◽  
Milk Yield ◽  
Environmental Conditions ◽  
Numerical Models ◽  
Machine Learning Techniques ◽  
Time Data ◽  
Daily Milk Yield ◽  
Daily Milk

Precision Livestock Farming (PLF) relies on several technological approaches to acquire, in the most efficient way, precise and real-time data concerning production and welfare of individual animals. In this regard, in the dairy sector, PLF devices are being increasingly adopted, automatic milking systems (AMSs) are becoming increasingly widespread, and monitoring systems for animals and environmental conditions are becoming common tools in herd management. As a consequence, a great amount of daily recorded data concerning individual animals are available for the farmers and they could be used effectively for the calibration of numerical models to be used for the prediction of future animal production trends. On the other hand, the machine learning approaches in PLF are nowadays considered an extremely promising solution in the research field of livestock farms and the application of these techniques in the dairy cattle farming would increase sustainability and efficiency of the sector. The study aims to define, train, and test a model developed through machine learning techniques, adopting a Random Forest algorithm, having the main goal to assess the trend in daily milk yield of a single cow in relation to environmental conditions. The model has been calibrated and tested on the data collected on 91 lactating cows of a dairy farm, located in northern Italy, and equipped with an AMS and thermo-hygrometric sensors during the years 2016–2017. In the statistical model, having seven predictor features, the daily milk yield is evaluated as a function of the position of the day in the lactation curve and the indoor barn conditions expressed in terms of daily average of the temperature-humidity index (THI) in the same day and its value in each of the five previous days. In this way, extreme hot conditions inducing heat stress effects can be considered in the yield predictions by the model. The average relative prediction error of the milk yield of each cow is about 18% of daily production, and only 2% of the total milk production.

Sign in / Sign up

Export Citation Format

Share Document