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 Seasonal heat stress alters the milk yield, antioxidative levels and serum metabolites in primiparous and 3 multiparous dairy cows

2021 ◽  
Author(s):  
Xue Chen ◽  
Jia Nan Dong ◽  
Ji Ye Rong ◽  
Jun Xiao ◽  
Wei Zhao ◽  
...  
Keyword(s):  
Heat Stress ◽  
Dairy Cows ◽  
Milk Yield ◽  
Early Lactation ◽  
Serum Metabolites ◽  
Humidity Index ◽  
Seasonal Heat ◽  
Daily Milk Yield ◽  
Metabolic Biomarkers ◽  
Daily Milk

Abstract This study aimed to explore the seasonal heat stress affects the milk yield, antioxidative levels and serum metabolites in primiparous and multiparous dairy cows during early lactation. A total of two hundred dairy cows were selected according to their calving months (June, temperature humidity index (THI) =66.72; July, THI=70.30; August, THI=69.32; September, THI=67.20; October, THI=59.45). Blood samples were collected on day 0, 21, 50, 80, 100 after calving for serum oxidative status analysis and milk yield was recorded every day. The lower average daily milk yield in cows that calved in June and July (P<0.05), and average daily milk yield of multiparous cows was higher than that of primiparous cows that calved in the same month (P<0.05), suggesting that seasonal (June) heat stress negatively affected milk yield in both primiparous and multiparous cows at early lactation. Besides, 15 and 11 serum metabolites were changed in heat stress (average THI = 70.30) group compared with non heat stress (average THI = 59.45) group in primiparous cows and multiparous cows, respectively. These metabolites were mainly involved in the pathways of aminoacyl-tRNA biosynthesis, glyoxylate and dicarboxylate metabolism, and the metabolism of glycine, serine and threonine. These data suggested that heat stress negatively affected the milk yield and thus caused the the elevation of 2 the serum oxidative and antioxidative index Metabolic biomarkers associated with the heat stress 29 in serum were found 0 which providing the basement of evaluating indicator between heat stress and non heat stress groups in primiparous and multiparous cows.

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 The effect of response to heat stress, parity, breed and breeding region on somatic cell count in dairy cattle

2020 ◽  
Vol 90 (5) ◽  
pp. 435-442
Author(s):  
Vesna Gantner ◽  
◽  
Božidarka Marković ◽  
Mirna Gavran ◽  
Marcela Šperanda ◽  
...  
Keyword(s):  
Heat Stress ◽  
Dairy Cattle ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
High Variability ◽  
Humidity Index ◽  
The Individual ◽  
Daily Milk Yield ◽  
Daily Milk

With the aim of determining the effect of response to heat stress, parity, breed and breeding region on somatic cell count (SCC) in dairy cattle, the individual test-day records of dairy cows collected from 2005 to 2012 in regular milk recording (AT4 / BT4 method) in Croatia were used. The proportional differences in log somatic cell count, and logSCC (in %) in subsequent milk recordings (1st, and 2nd) were determined in cows with a significant decrease in daily milk yield at a set temperature-humidity index, THI threshold (68, 72, and 76). The results indicate high variability in somatic cell count due to the animal’s response to heat stress (heat stressed at THI in 68, 72, and 76), parity (1, 2, and 3+), breed (Holstein, and Simmental) and breeding region (Central, and Eastern Croatia). Also, it could be pointed out that Holsteins, especially cows in higher parities (2, 3+) reared in Eastern Croatia were shown to be more sensitive to environmental stress, even in the period after heat stress (1st, and 2nd subsequent milk recording). Since SCC is not only an indicator for mastitis, but also reflects a cow’s immune response to general stress situations, the high variability determined may be explained by the individual adaptation capabilities of these two breeds to breeding conditions in the analysed regions.

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.

Determining heat stress effect in Holstein dairy cattle using daily milkyield and meteorological data obtained from public weatherstation in Sanliurfa Province of Turkey

2016 ◽  
Author(s):  
Kemal Yazgan
Keyword(s):  
Heat Stress ◽  
Dairy Cows ◽  
Meteorological Data ◽  
Live Weight ◽  
Good Alternative ◽  
Holstein Cows ◽  
Stress Effect ◽  
Humidity Index ◽  
Daily Milk Yield ◽  
Daily Milk

The objective of this study was to detect the relationship between weather information, obtained from nearest public weather station, and milk productions of Holstein cows breeding in Sanliurfa province of Turkey. Data used in this study comprised 711,968 first-five parity individual daily milk and live weight records of 939 Holstein cows. Results from this study indicated that using combination of minimum ambient temperature and relative humidity values one day earlier from daily milk yield in temperature – humidity index (THI) formula can be good alternative for determining heat stress in Holstein dairy cows under climatological conditions in Sanliurfa province of Turkey. As a result, this study confirmed that for quantifying heat stress in dairy cows valuable information can obtained from public weather stations.

scholarly journals Short communication: The lag response of daily milk yield to heat stress in dairy cows

2021 ◽  
Vol 104 (1) ◽  
pp. 981-988
Author(s):  
Gan Li ◽  
Jian Chen ◽  
Dandan Peng ◽  
Xianhong Gu
Keyword(s):  
Heat Stress ◽  
Dairy Cows ◽  
Milk Yield ◽  
Short Communication ◽  
Daily Milk Yield ◽  
Daily Milk

scholarly journals Phenotypic features of black and red dairy cattle populations in the Siberian region

2021 ◽  
Vol 37 ◽  
pp. 00178
Author(s):  
Irina Trotsenko ◽  
Irina Ivanova ◽  
Elena Yurchenko
Keyword(s):  
Dairy Cattle ◽  
Milk Yield ◽  
Flow Rate ◽  
Milk Productivity ◽  
Siberian Region ◽  
Milk Flow ◽  
Production Technologies ◽  
Phenotypic Features ◽  
Daily Milk Yield ◽  
Daily Milk

The surveys have identified features of the exterior for 742 breeding cows of black-motley and red steppe breed in the Omsk region conditions. It was found that black motley cows are larger than peers of the red steppe breed are; these differences are 4.7 cm in height at the withers, 8.3 cm - in chest circumference, 1.4 cm and 5.6 cm - in width at the shoulders and ischial tubercles respectively. The studying animals received 83–84 points for the general type of development, which corresponds to the assessment “B+”. The average daily milk yield of black motley cows was 24.1 kg with an average milk flow rate of 2.24 kg / min. Red steppe cows' average daily milk yield is lower by 2.0 kg and it is about 22.1 kg, the milk flow rate is lower by 0.36 kg / min than for cows of the black motley breed. Phenotypic features of the two cows’ dairy cattle populations of the Siberian region characterize it like animals with the correct exterior, severe forms of milk and able to exhibit a high milk productivity in the conditions of modern milk production technologies. Phenotypic exterior evaluation of the broodstock reveals all the necessary provisions for potentially high-yielding offspring.

scholarly journals The Effect of Breeding Region on Differences in Persistency of Heat Stress Effect in First Parity Simmentals

2019 ◽  
Vol 20 (2) ◽  
pp. 75
Author(s):  
Vesna Gantner ◽  
Mirna Gavran ◽  
Dragan Dokić ◽  
Božo Važić ◽  
Maja Gregić ◽  
...  
Keyword(s):  
Heat Stress ◽  
Threshold Value ◽  
Eastern Region ◽  
Stress Effect ◽  
Milk Traits ◽  
Significant Difference ◽  
Negative Effect ◽  
Humidity Index ◽  
Daily Milk Yield ◽  
Daily Milk

In order to determine the effect of breeding region on differences in persistency of heat stress effect in first parity Simmentals test-day records provided by the Croatian Agricultural Agency were analysed. Only cows with detected statistically significant decrease in daily milk yield at set temperature-humidity index (THI) threshold value (65, 70 and 75) were included in the further analyses. The persistency of heat stress effect regarding the daily milk traits was determined as a drop in the subsequent milk recordings (1st and 2nd). The research results indicate significant difference in animals’ response to heat stress effect due to breeding region and individual’s susceptibility to heat stress. The most pronounced and persistent negative effect of heat stress was determined in cows reared in Eastern region. Also, the negative effect of heat stress was more pronounced and more persistent in Simmentals that were heat stressed at the lower THI threshold values (cows that are more susceptible to heat stress).

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.

Sign in / Sign up

Export Citation Format

Share Document