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Moser J, Kohler S, Hentgen J, Meylan M, Schüpbach-Regula G. Assessment of Ammonia Concentrations and Climatic Conditions in Calf Housing Using Stationary and Mobile Sensors. Animals (Basel) 2024; 14:2001. [PMID: 38998113 PMCID: PMC11240687 DOI: 10.3390/ani14132001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Revised: 06/25/2024] [Accepted: 06/28/2024] [Indexed: 07/14/2024] Open
Abstract
In calf fattening, housing climate conditions are essential for optimal performance and welfare. Validated methods to measure the long-term housing climate are lacking. The present study investigated climate parameters for 14 weeks in Swiss calf fattening housing with two different ammonia (NH3) sensors: six stationary sensors (Dräger Polytron 8100) were installed at animal level and four mobile sensors (Dräger x-AM 5100) were attached to the calves' heads. Temperature, relative humidity, and carbon dioxide (CO2) concentrations were recorded by two stationary data loggers (testo 160 IAQ). Data were analyzed descriptively, and 4 h mean values of maximum NH3 concentrations of mobile and stationary sensors were compared using the Wilcoxon test for paired data. The 4 h mean values of temperature, relative humidity, and CO2 concentrations and the 4 h mean values of maximum NH3 concentrations of stationary and mobile sensors were analyzed by ANOVA in two linear models. The overall 4 h mean of maximum NH3 concentrations ranged between 5.9-9.4 ppm for measurements of stationary sensors and between 11.3-14.7 ppm for measurements of mobile sensors. The NH3 concentrations measured by mobile sensors showed significantly higher peak values and more fluctuations. Additionally, an interaction effect was observed between the NH3 concentrations measured by either sensor and CO2 concentrations (p < 0.01 (mobile sensors); p < 0.0001 (stationary sensors), temperature values (p < 0.0001 (both sensors)), and relative humidity (p < 0.0001 (both sensors)). The measurements of the implemented method showed that corresponding housing climate parameters fluctuated strongly, and NH3 reached high peak values. Validated measurement methods might allow for a detailed assessment of the housing climate in practice, and for further research on suitable management methods for housing climate optimization in the future.
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Affiliation(s)
- Julia Moser
- School of Agricultural, Forest, and Food Sciences, Bern University of Applied Sciences, Länggasse 85, 3052 Zollikofen, Switzerland
- Department of Clinical Research and Veterinary Public Health, University of Bern, Schwarzenburgstrasse 155, 3097 Liebefeld, Switzerland
| | - Samuel Kohler
- School of Agricultural, Forest, and Food Sciences, Bern University of Applied Sciences, Länggasse 85, 3052 Zollikofen, Switzerland
| | - Jérémy Hentgen
- School of Agricultural, Forest, and Food Sciences, Bern University of Applied Sciences, Länggasse 85, 3052 Zollikofen, Switzerland
| | - Mireille Meylan
- Clinic for Ruminants, Vetsuisse Faculty, University of Bern, Bremgartenstrasse 109a, 3012 Bern, Switzerland
| | - Gertraud Schüpbach-Regula
- Department of Clinical Research and Veterinary Public Health, University of Bern, Schwarzenburgstrasse 155, 3097 Liebefeld, Switzerland
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2
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Müschner-Siemens T, Palmini A, Heinicke J, Hoffmann G, Belik V, Amon T. Influence of thermal heat load accumulation on daily rumination time of lactating Holstein cows in a zone with temperate climate. J Therm Biol 2024; 122:103856. [PMID: 38823216 DOI: 10.1016/j.jtherbio.2024.103856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 02/28/2024] [Accepted: 04/04/2024] [Indexed: 06/03/2024]
Abstract
In the future, conflicts between animal welfare and climate change will gradually intensify. In the present study, we investigated the daily rumination time (RT) of lactating Holstein-Friesian cows in a zone with temperate climate and the effects of heat load duration and heat load intensity. Responses of individual cows to heat load were assessed, adjusting for milk yield, lactation number, days in milk as well as reproductive status and season. A total of 27,149 data points from 183 cows in a naturally ventilated barn in Brandenburg, Germany, were collected from June 2015 to May 2017. Ambient temperature and relative humidity were recorded at eight positions inside the barn every 5 min, and the temperature-humidity index (THI) was calculated. Based on THI, the degree of heat load was determined, using critical thresholds of THI = 68, 72, and 80. Daily RT was measured with a microphone-based sensor system (collar) on the cow's neck. The analysis models included autocorrelations in time series as well as individual cow-related effects. With each 5 min exposure to contemporaneous heat load, a decrease of approximately 1.17 min d-1 in RT per cow from non-heat stress to heat stress conditions by exceeding THI ≥68 (p < 0.01). This effect was intensified by exceeding the critical THI thresholds of 68 and 72. As heat load duration and intensity increased, daily RT decreased in comparison to daily RT under non-stress conditions. High-yielding (>38.4 kg milk/day) cows were more influenced in rumination time than low-yielding (≤28.8 kg milk/day) cows. With moderate contemporaneous heat load, RT decreased by 0.14 min d-1 per 5 min in high-yielding cows compared to low-yielding cows under moderate heat load. A decrease of 0.1 min d-1 was found in daily RT of mid-yielding cows. However, the delayed effects of heat load (one to three days after the heat stress event) were associated with days in milk and reproduction status. When the heat load duration lasted for several days, the responses were less pronounced than the impacts of contemporaneous heat load (when the heat stress event lasted for one day). Delayed mild heat load resulted in an increase in RT by 0.13 min d-1 in lactating cows ≤60 DIM. This was also found with delayed moderate heat load. Lactating cows ≤60 DIM showed a rise of 0.09 min d-1 in RT. RT also showed interactions with reproduction status of cows under delayed moderate heat stress. Lactating cows with ≤180 days of pregnancy showed an increase of 0.61 min d-1 in RT. Similarly, cows with >180 days of pregnancy had 0.64 min d-1 more RT compared to non-pregnant cows. Further analysis with higher temporal resolution of RT than data accumulation in 24-h blocks as well as the assessment of the correlation between feed composition, intake and rumination will elucidate the influence of heat load on daily RT.
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Affiliation(s)
- Theresa Müschner-Siemens
- Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department Sensors and Modelling, Max-Eyth-Allee 100, 14469 Potsdam, Germany
| | - Andrea Palmini
- Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department Sensors and Modelling, Max-Eyth-Allee 100, 14469 Potsdam, Germany; Freie Universität Berlin, Department of Veterinary Medicine, Institute for Veterinary Epidemiology and Biostatistics, Center for Veterinary Public Health, Königsweg 67, 14163 Berlin, Germany
| | - Julia Heinicke
- Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department Sensors and Modelling, Max-Eyth-Allee 100, 14469 Potsdam, Germany.
| | - Gundula Hoffmann
- Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department Sensors and Modelling, Max-Eyth-Allee 100, 14469 Potsdam, Germany
| | - Vitaly Belik
- Freie Universität Berlin, Department of Veterinary Medicine, Institute for Veterinary Epidemiology and Biostatistics, Center for Veterinary Public Health, Königsweg 67, 14163 Berlin, Germany
| | - Thomas Amon
- Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department Sensors and Modelling, Max-Eyth-Allee 100, 14469 Potsdam, Germany; Freie Universität Berlin, Department of Veterinary Medicine, Institute for Animal Hygiene and Environmental Health, Robert-von-Ostertag-Str. 7-13, 14163 Berlin, Germany
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3
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Gujar G, Tiwari M, Yadav N, Monika D. Heat stress adaptation in cows - Physiological responses and underlying molecular mechanisms. J Therm Biol 2023; 118:103740. [PMID: 37976864 DOI: 10.1016/j.jtherbio.2023.103740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 09/04/2023] [Accepted: 10/15/2023] [Indexed: 11/19/2023]
Abstract
Heat stress is a key abiotic stressor for dairy production in the tropics which is further compounded by the ongoing climate change. Heat stress not only adversely impacts the production and welfare of dairy cows but severely impacts the economics of dairying due to production losses and increased cost of rearing. Over the years, selection has ensured development of high producing breeds, however, the thermotolerance ability of animals has been largely overlooked. In the past decade, the ill effects of climate change have made it pertinent to rethink the selection strategies to opt for climate resilient breeds, to ensure optimum production and reproduction. This has led to renewed interest in evaluation of the impacts of heat stress on cows and the underlying mechanisms that results in their acclimatization and adaptation to varied thermal ambience. The understanding of heat stress and associated responses at various level of animal is crucial to device amelioration strategies to secure optimum production and welfare of cows. With this review, an effort has been made to provide an overview on temperature humidity index as an important indicator of heat stress, general effect of heat stress in dairy cows, and impact of heat stress and subsequent response at physiological, haematological, molecular and genetic level of dairy cows.
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Affiliation(s)
- Gayatri Gujar
- Livestock Production Management, Bikaner, Rajasthan, 334001, India.
| | - Manish Tiwari
- Animal Biotechnology, National Dairy Research Institute, Karnal, Haryana, 132001, India
| | - Nistha Yadav
- Department of Animal Genetics and Breeding, College of Veterinary and Animal Science, Bikaner, Rajasthan, 334001, India
| | - Dr Monika
- Veterinary Parasitology, Jaipur, Rajasthan, 302012, India
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Shu H, Guo L, Bindelle J, Fang T, Xing M, Sun F, Chen X, Zhang W, Wang W. Evaluation of environmental and physiological indicators in lactating dairy cows exposed to heat stress. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2022; 66:1219-1232. [PMID: 35355089 DOI: 10.1007/s00484-022-02270-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 01/23/2022] [Accepted: 03/07/2022] [Indexed: 06/14/2023]
Abstract
This study aimed to better understand environmental heat stress and physiological heat strain indicators in lactating dairy cows. Sixteen heat stress indicators were derived using microenvironmental parameters that were measured at the surrounding of cows and at usual fixed locations in the barn by using handheld and fixed subarea sensors, respectively. Twenty high-producing Holstein-Friesian dairy cows (> 30.0 kg/day) from an intensive dairy farm were chosen to measure respiration rate (RR), vaginal temperature (VT), and body surface temperature of forehead (FT), eye (ET), and muzzle (MT). Our results show that microenvironments measured by the handheld sensor were slightly warmer and drier than those measured by the fixed subarea sensor; however, their derived heat stress indicators correlated equally well with physiological indicators. Interestingly, ambient temperature (Ta) had the highest correlations with physiological indicators and the best classification performance in recognizing actual heat strain state. Using segmented mixed models, the determined Ta thresholds for maximum FT, mean FT, RR, maximum ET, mean ET, VT, mean MT, and maximum MT were 24.1 °C, 24.2 °C, 24.4 °C, 24.6 °C, 24.6 °C, 25.3 °C, 25.4 °C, and 25.4 °C, respectively. Thus, we concluded that the fixed subarea sensor is a reliable tool for measuring cows' microenvironments; Ta is an appropriate heat stress indicator; FT, RR, and ET are good early heat strain indicators. The results of this study could be helpful for dairy practitioners in a similar intensive setting to detect and respond to heat strain with more appropriate indicators.
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Affiliation(s)
- Hang Shu
- Agricultural Information Institute, Chinese Academy of Agricultural Sciences, 100086, Beijing, China
- AgroBioChem/TERRA, Precision Livestock and Nutrition Unit, Gembloux Agro-Bio Tech, University of Liège, 5030, Gembloux, Belgium
| | - Leifeng Guo
- Agricultural Information Institute, Chinese Academy of Agricultural Sciences, 100086, Beijing, China
| | - Jérôme Bindelle
- AgroBioChem/TERRA, Precision Livestock and Nutrition Unit, Gembloux Agro-Bio Tech, University of Liège, 5030, Gembloux, Belgium
| | - Tingting Fang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, 100193, Beijing, China
| | - Mingjie Xing
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, 100193, Beijing, China
| | - Fuyu Sun
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, 100193, Beijing, China
| | - Xiaoyang Chen
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, 100193, Beijing, China
| | - Wenju Zhang
- Agricultural Information Institute, Chinese Academy of Agricultural Sciences, 100086, Beijing, China
| | - Wensheng Wang
- Agricultural Information Institute, Chinese Academy of Agricultural Sciences, 100086, Beijing, China.
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Wijffels G, Sullivan M, Gaughan J. Methods to quantify heat stress in ruminants: Current status and future prospects. Methods 2020; 186:3-13. [PMID: 32927085 DOI: 10.1016/j.ymeth.2020.09.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 09/06/2020] [Accepted: 09/08/2020] [Indexed: 12/19/2022] Open
Abstract
The physiology of hyperthermia or heat stress in mammals is complex. It is a totally systemic condition that in varying degrees involves all organs, tissues and body fluid compartments. The nature and magnitude of the response is influenced by animal specific characteristics (e.g. age, diet, body condition, gender, reproductive stage), environment and animal management. Given the multifaceted nature of heat stress, and the varied ruminant production systems based in varied geoclimatic zones, it has been difficult to find appropriate measures of heat stress for production ruminants. This has become an urgent challenge as production systems intensify globally in a warming climate. Bioclimatic indices such as the Temperature-Humidity Index (THI) have evolved to incorporate some measure of animal physiology. However, these indices do not have strong relationships with core temperature trajectories and altered respiratory dynamics of animals with excessive heat load. In recent decades, the careful physiology studies of the 1950-80s, have given way to numerous studies trialling a plethora of new technologies and computational approached to measure heat stress. Infrared thermography of body surface temperatures, automated measures of respiration rate and radiotelemetry of internal body temperatures are the most intensively researched. The common goal has been to find the 'holy grail' decision-making threshold or timepoint as to the animal's wellbeing. Are we making any progress?
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Affiliation(s)
- Gene Wijffels
- CSIRO Agriculture and Food, Queensland Biosciences Precinct, 306 Carmody Rd., St Lucia, Queensland 4067, Australia.
| | - Megan Sullivan
- Agri-Science Queensland (Dairy), Department of Agriculture and Fisheries, at The University of Queensland Gatton Campus, Lawes, Queensland 4343, Australia.
| | - John Gaughan
- School of Agriculture and Food Sciences, The University of Queensland, Gatton, Queensland 4343, Australia.
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Sammad A, Wang YJ, Umer S, Lirong H, Khan I, Khan A, Ahmad B, Wang Y. Nutritional Physiology and Biochemistry of Dairy Cattle under the Influence of Heat Stress: Consequences and Opportunities. Animals (Basel) 2020; 10:ani10050793. [PMID: 32375261 PMCID: PMC7278580 DOI: 10.3390/ani10050793] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 05/01/2020] [Accepted: 05/02/2020] [Indexed: 12/17/2022] Open
Abstract
Simple Summary Modern dairy cows have elevated internal heat loads caused by high milk production, and the effects of accumulating incremental heat are exacerbated when temperature and humidity increases in the surroundings. To shed this additional heat, cows initiate a variety of adaptive mechanisms including increased respiration rate, panting, sweating, reduced milk yield, vasodilatation, and decreased reproductive performance. Hormonal changes based on reciprocal alterations to the energetic metabolism are particularly accountable for reduced efficiency of the dairy production under the heat stress. As animals experience negative energy balance; glucose, which is also a precursor of milk lactose, becomes the preferential energy fuel. In the absence of proper mitigations, heat stress possesses potential risk of economic losses to dairy sector. Besides physical measures for the timely prediction of the actual heat stress coupled with its proper amelioration, nutritional mitigation strategies should target modulating energetic metabolism and rumen environment. Abstract Higher milk yield and prolificacy of the modern dairy cattle requires high metabolism activities to support them. It causes high heat production by the body, which coupled with increasing environmental temperatures results in heat stress (HS). Production, health, and welfare of modern cattle are severely jeopardized due to their low adaptability to hot conditions. Animal activates a variety of physiological, endocrine, and behavioral mechanisms to cope with HS. Traditionally, decreased feed intake is considered as the major factor towards negative energy balance (NEBAL) leading to a decline in milk production. However, reciprocal changes related to insulin; glucose metabolism; failure of adipose mobilization; and skeletal muscle metabolism have appeared to be the major culprits behind HS specific NEBAL. There exists high insulin activity and glucose become preferential energy fuel. Physiological biochemistry of the heat stressed cows is characterized by low-fat reserves derived NEFA (non-esterified fatty acids) response, despite high energy demands. Besides these, physiological and gut-associated changes and poor feeding practices can further compromise the welfare and production of the heat-stressed cows. Better understanding of HS specific nutritional physiology and metabolic biochemistry of the dairy cattle will primarily help to devise practical interventions in this context. Proper assessment of the HS in cattle and thereby applying relevant cooling measures at dairy seems to be the basic mitigation approach. Score of the nutritional strategies be applied in the eve of HS should target supporting physiological responses of abatement and fulfilling the deficiencies possessed, such as water and minerals. Second line of abatement constitutes proper feeding, which could augment metabolic activities and synergizes energy support. The third line of supplemental supports should be directed towards modulating the metabolic (propionates, thiazolidinediones, dietary buffers, probiotics, and fermentates) and antioxidant responses (vitamins). Comprehensive understanding of the energetic metabolism dynamics under the impact of incremental heat load and complete outlook of pros and cons of the dietary ameliorating substances together with the discovery of the newer relevant supplementations constitutes the future avenues in this context.
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Affiliation(s)
- Abdul Sammad
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (A.S.); (Y.J.W.); (H.L.); (A.K.); (B.A.)
| | - Ya Jing Wang
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (A.S.); (Y.J.W.); (H.L.); (A.K.); (B.A.)
| | - Saqib Umer
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (S.U.); (I.K.)
| | - Hu Lirong
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (A.S.); (Y.J.W.); (H.L.); (A.K.); (B.A.)
| | - Imran Khan
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (S.U.); (I.K.)
| | - Adnan Khan
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (A.S.); (Y.J.W.); (H.L.); (A.K.); (B.A.)
| | - Baseer Ahmad
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (A.S.); (Y.J.W.); (H.L.); (A.K.); (B.A.)
| | - Yachun Wang
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (A.S.); (Y.J.W.); (H.L.); (A.K.); (B.A.)
- Correspondence:
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7
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McDonald PV, von Keyserlingk MAG, Weary DM. Hot weather increases competition between dairy cows at the drinker. J Dairy Sci 2020; 103:3447-3458. [PMID: 32008780 DOI: 10.3168/jds.2019-17456] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 11/18/2019] [Indexed: 11/19/2022]
Abstract
Heat-stressed dairy cows on pasture will compete for resources that aid cooling, but it is not known how heat stress affects the competition for water by indoor-housed cows. The aim of this observational study was to evaluate how heat stress affects the behavior of indoor-housed cows at the drinker at both group and cow levels. For 3 wk after calving, cows were housed in a dynamic group of 20 animals in a pen with 12 electronic feed bins, 2 electronic water bins, and 24 freestalls. A total of 69 lactating Holstein dairy cows were enrolled over the 59-d study. The electronic water bins recorded time spent at the drinker, frequency of visits, water intake, and competitive events for 24 h/d. Competitive events were quantified using the number of replacements (recorded when there was a ≤29-s interval between 2 cows sequentially visiting the same drinker). The number of replacements a cow was involved in was used to determine her level of competitive success at the drinker (low, medium, high). The temperature-humidity index (THI) was recorded by the local weather station, and moving averages for daily maximum THI over a 3-d period were calculated. For the analysis of time spent at the drinker, frequency of visits, and water intake, the measures from all cows were averaged to create 1 observation per day, and the number of replacements at the drinker was summed. A linear regression was performed to determine the relationship between THI and group-level drinking behavior. At the cow level, a repeated measures mixed model, with fixed effects of level of competitive success, milk yield, and 3-d maximum THI and a first-order autoregressive covariance structure, was used to determine how increasing THI affects the drinking behavior of individual cows based on their level of competitive success. Feed intake was included as a fixed effect in the water intake model. We found that, with increasing THI, cows drank more water, spent more time at the drinker, made more visits to the drinker, and engaged in more competitive events at the drinker. In exploratory analysis, we found that cows with low competitive success at the drinker shifted their drinking behavior to avoid the drinker at the hottest and most competitive time of day. These results indicate that behavior can be used to indicate when cows feel hot. These measures may be of practical value in deciding when to provide cooling, especially for farms where attendance at the drinker can be monitored electronically.
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Affiliation(s)
- Paige V McDonald
- Animal Welfare Program, University of British Columbia, 2357 Mall, Vancouver, BC, Canada, V6T 1Z4
| | | | - Daniel M Weary
- Animal Welfare Program, University of British Columbia, 2357 Mall, Vancouver, BC, Canada, V6T 1Z4.
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Müschner-Siemens T, Hoffmann G, Ammon C, Amon T. Daily rumination time of lactating dairy cows under heat stress conditions. J Therm Biol 2019; 88:102484. [PMID: 32125974 DOI: 10.1016/j.jtherbio.2019.102484] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 12/16/2019] [Accepted: 12/17/2019] [Indexed: 12/15/2022]
Abstract
The dairy industry in regions with moderate climates, such as Central Europe, will be increasingly challenged in the future by climate change. The problem of heat stress will especially affect dairy husbandry in naturally ventilated barns (NVB). The approach of the study was to determine a heat stress threshold of the average daily temperature-humidity index (THI) that results in changes in the daily rumination time (RT) of lactating, high-yielding cows. The data set was composed of a high sample size of 183 cows and long-duration measurements of 21240 daily observations over two years from June 2015 to May 2017, which were collected in an NVB in Groβ Kreutz, Germany. The THI was calculated in 5-min intervals by data from several sensors in different positions inside the barn. Additionally, every cow from the herd of an average of 53 cows in the experimental procedure was wearing a neck collar with a Lely Qwes HR system that provided the RT 24 h a day (12 2-h recordings were summarized). The study showed that heat stress also negatively influenced RT in moderate climates. The heat stress threshold of 52 THI was determined by broken-stick regression and indicated changes of RT of lactating dairy cows in Germany. During the experimental period, the heat stress threshold for RT was reached from April to September for up to 720 h per month. The changes in RT to the heat stress threshold will be affected by cows' characteristics. Therefore, we considered several cow-related factors, such as milk yield (MY), lactation number (LN), lactation stage (days in milk, or DIM) and pregnancy stage (P) to better understand cows' individual reactions to heat stress. Multiparous, high-yielding cows in later lactation stages are potentially more strongly affected than other cows.
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Affiliation(s)
- Theresa Müschner-Siemens
- Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department of Engineering for Livestock Management, Max-Eyth-Allee 100, 14469, Potsdam, Germany.
| | - Gundula Hoffmann
- Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department of Engineering for Livestock Management, Max-Eyth-Allee 100, 14469, Potsdam, Germany
| | - Christian Ammon
- Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department of Engineering for Livestock Management, Max-Eyth-Allee 100, 14469, Potsdam, Germany
| | - Thomas Amon
- Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department of Engineering for Livestock Management, Max-Eyth-Allee 100, 14469, Potsdam, Germany; Freie Universität Berlin, Department of Veterinary Medicine, Institute for Animal Hygiene and Environmental Health, Robert-von-Ostertag-Str. 7-13, 14163, Berlin, Germany
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9
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Nordlund KV, Strassburg P, Bennett TB, Oetzel GR, Cook NB. Thermodynamics of standing and lying behavior in lactating dairy cows in freestall and parlor holding pens during conditions of heat stress. J Dairy Sci 2019; 102:6495-6507. [PMID: 31030933 DOI: 10.3168/jds.2018-15891] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 03/05/2019] [Indexed: 12/18/2022]
Abstract
Heat load is a challenge for high-producing dairy cows, with adverse consequences on production, reproduction, and welfare. The objectives of this observational study in 2 commercial dairy herds were to determine the effects of environmental heat stress on standing and lying behavior, to monitor the changes in core body temperature (CBT) of cows during lying and standing bouts, and to compare changes in CBT during standing bouts in freestall pens versus standing in holding pens. High-producing cows were selected for data collection over a period of 6 d of increasing heat stress during a heat wave to which they were not acclimated. A total of 20 cows were fitted with leg accelerometers that recorded lying behavior and with vaginal temperature loggers that recorded CBT. These data were recorded at 30-s intervals. Time in the parlor holding pen was calculated from automated parlor software that recorded milking unit attachment and removal times. Mean daily temperature-humidity index in the pens increased from 68.5 to 79.0 during the 6-d trial, whereas mean daily lying time decreased from 9.5 to 6.2 h/d. The mean number of lying bouts per day remained similar at 11.1 to 12.2, but duration of lying bouts decreased from a high of 49.7 min on the coolest day to 32.8 min on the hottest day. During lying bouts, CBT increased at a mean rate of 0.50°C/h. In contrast, CBT changed at a mean rate of -0.25°C/h when standing in the freestall pens and only -0.09°C/h when standing in the milking-center holding pens. Explanatory models for the CBT at which cows ended either standing or lying bouts were derived from 6 selected lying bouts and 3 selected standing bouts for each cow on each day. The CBT at which a cow ended a lying bout was positively related to CBT and temperature-humidity index at the start of the bout, bout duration, and rate of CBT change during the bout. The CBT at which a cow ended a standing bout was negatively related to bout duration and positively related to start CBT, start temperature-humidity index, and rate of CBT change. Insights into the thermodynamics of standing and lying behavior in dairy cows during periods of heat stress provided by this study may contribute to the development of more effective strategies to mitigate heat load in dairy cattle.
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Affiliation(s)
- K V Nordlund
- Department of Medical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison 53706.
| | - P Strassburg
- Department of Medical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison 53706
| | - T B Bennett
- Department of Medical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison 53706
| | - G R Oetzel
- Department of Medical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison 53706
| | - N B Cook
- Department of Medical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison 53706
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10
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Heinicke J, Ibscher S, Belik V, Amon T. Cow individual activity response to the accumulation of heat load duration. J Therm Biol 2019; 82:23-32. [PMID: 31128653 DOI: 10.1016/j.jtherbio.2019.03.011] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 03/05/2019] [Accepted: 03/18/2019] [Indexed: 11/25/2022]
Abstract
In the course of predicted climate change, the welfare of dairy cows and heat load to which they are exposed have become increasingly important even under moderate climate conditions. The objective of this study was to investigate the cow individual activity response to heat load in terms of the heat load duration and intensity in lactating, high-yielding Holstein-Friesian cows in a moderate climate zone. The study was conducted from June 2015 to April 2017 in a naturally ventilated barn in Brandenburg, Germany. The determined temperature-humidity index (THI) inside the barn was used to define the heat load. The heat load was characterized by the average daily THI as well as the duration and intensity of the defined THI levels. In addition to the heat load on the measurement day, we studied the cow individual activity response to the heat load accumulated over the three days preceding the measurement day. The activity of the cows (n = 196) was measured by accelerometers and described the resting behavior and the number of steps per cow and day. The analysis models included autocorrelations in time series as well as individual cow factors. An increase in the duration and intensity of heat load on the measurement day led to a decrease in the lying time and an increase in the number of steps. The cows showed a reduced activity response to heat load when there was additional heat load accumulation over the three days preceding the measurement day. The cows in an advanced stage of lactation were more sensitive to heat load than cows in the early lactation stage. Multiparous cows showed less pronounced activity responses than primiparous cows. Heat load accumulation and individual cow-related factors should be considered in prediction models for the sensitive animal-specific recognition of heat load on the basis of activity responses.
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Affiliation(s)
- Julia Heinicke
- Leibniz Institute for Agricultural Engineering and Bioeconomy e.V., Department of Engineering for Livestock Management, Max-Eyth-Allee 100, 14469 Potsdam, Germany.
| | - Stephanie Ibscher
- Institute of Veterinary Epidemiology and Biostatistics, Department of Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 7-13, 14163 Berlin, Germany.
| | - Vitaly Belik
- Institute of Veterinary Epidemiology and Biostatistics, Department of Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 7-13, 14163 Berlin, Germany.
| | - Thomas Amon
- Leibniz Institute for Agricultural Engineering and Bioeconomy e.V., Department of Engineering for Livestock Management, Max-Eyth-Allee 100, 14469 Potsdam, Germany; Institute of Animal Hygiene and Environmental Health, Department of Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 7-13, 14163 Berlin, Germany.
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Editorial: Caring for dairying. J DAIRY RES 2018; 85:263-264. [PMID: 30156525 DOI: 10.1017/s0022029918000651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Heinicke J, Hoffmann G, Ammon C, Amon B, Amon T. Effects of the daily heat load duration exceeding determined heat load thresholds on activity traits of lactating dairy cows. J Therm Biol 2018; 77:67-74. [PMID: 30196901 DOI: 10.1016/j.jtherbio.2018.08.012] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Revised: 08/01/2018] [Accepted: 08/18/2018] [Indexed: 11/30/2022]
Abstract
In recent years, the problem of the welfare and heat load of dairy cows has become increasingly important in moderate climate zones. The objective of the present study was to determine heat load thresholds of average daily temperature-humidity index (THI) that lead to changes in different activity traits of lactating high-yielding dairy cows. Furthermore, we studied how the activity of the cows to heat load was influenced by the daily heat load duration which exceeded the heat load we had determined as threshold in our experiments. The study was conducted from June 2015 to May 2017 in a naturally ventilated dairy barn in Groß Kreutz, Germany. The climate was measured at several positions inside the barn, and the average THI was calculated every 10 min. The THI was used to define the dairy cows' heat load exposure. In addition, the activity of the cows was measured by pedometers, and different activity traits were recorded in the functional groups "resting behavior" and "locomotion behavior". The heat load thresholds determined by broken-stick models were 47 THI (standing bout duration, number of steps) as well as 67 THI (total lying/standing time, number of lying/standing bouts, lying bout duration). During the experimental period, the most reliable heat load threshold of 67 THI was exceeded from May to September for up to 480 h per month. The analysis model of each activity trait included the effect of the average daily THI values below and above the determined heat load threshold and the effect of the daily heat load duration exceeding the determined heat load threshold. The total lying/standing time and the number of steps showed significant changes related to increasing daily heat load duration. The effect of the daily heat load duration additionally intensified the effect of the average daily THI.
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Affiliation(s)
- Julia Heinicke
- Leibniz Institute for Agricultural Engineering and Bioeconomy e.V., Department of Engineering for Livestock Management, Max-Eyth-Allee 100, 14469 Potsdam, Germany.
| | - Gundula Hoffmann
- Leibniz Institute for Agricultural Engineering and Bioeconomy e.V., Department of Engineering for Livestock Management, Max-Eyth-Allee 100, 14469 Potsdam, Germany.
| | - Christian Ammon
- Leibniz Institute for Agricultural Engineering and Bioeconomy e.V., Department of Engineering for Livestock Management, Max-Eyth-Allee 100, 14469 Potsdam, Germany.
| | - Barbara Amon
- Leibniz Institute for Agricultural Engineering and Bioeconomy e.V., Department of Engineering for Livestock Management, Max-Eyth-Allee 100, 14469 Potsdam, Germany.
| | - Thomas Amon
- Leibniz Institute for Agricultural Engineering and Bioeconomy e.V., Department of Engineering for Livestock Management, Max-Eyth-Allee 100, 14469 Potsdam, Germany; Institute of Animal Hygiene and Environmental Health, Department of Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 7-13, 14163 Berlin, Germany.
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Denis-Robichaud J, Cerri R, Jones-Bitton A, LeBlanc S. Dairy producers' attitudes toward reproductive management and performance on Canadian dairy farms. J Dairy Sci 2018; 101:850-860. [DOI: 10.3168/jds.2016-12416] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Accepted: 08/26/2017] [Indexed: 11/19/2022]
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