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      Environmental parameters to assessing of heat stress in dairy cattle—a review

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          Abstract

          Considering the significant influence of high ambient temperature and heat waves on the well-being and productivity of dairy cows, it is to be expected that, in the course of the next few decades, climate conditions for raising cattle will deteriorate. Research has shown that heat stress causes many negative consequences in terms of physiological and behavioural disturbances and significant losses in milk production. The effort to reduce the risk of the occurrence of heat stress among dairy cows also involves the search for new environmental methods of predicting heat stress. The aim of this paper is to review and systematise the current state of knowledge on the topic of the most widely used environmental methods of determining and predicting heat stress in dairy cows and also to show the directions of studies for the future . Based on an analysis of the most popular indexes, the study evaluated their suitability for forecasting heat stress related to maintenance systems and climate conditions for cows. However, the negative results of heat stress often appear with a delay, and a carry-over effect may be experienced (summer heat stress may affect the cows until autumn). The time of the year and breed of cows could have a big impact on when animals become sensitive to increasing heat loads. This likely can be a big contributor to the discrepancies within the different heat stress equations. It is essential to prevent the occurrence of heat stress, predicting it by observing local microclimate conditions and using meteorological forecasts. Thanks to these measures, a breeder may prepare and implement suitable solutions for protecting the animals.

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          Heat stress interaction with shade and cooling.

          Hot weather causes heat stress in dairy cattle. Although effects are more severe in hot climates, dairy cattle in areas with relatively moderate climates also are exposed to periods of heat stress. The resultant decrease in milk production and reproductive efficiency can be offset by implementation of a program consisting of cooling through shades, ventilation and spray, and fans. The economic benefit should be determined before installation of equipment to reduce heat stress.
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            Temperature-humidity indices as indicators of milk production losses due to heat stress.

            Meteorological data (1993 to 2004) from 2 public weather stations in Phoenix, Arizona, and Athens, Georgia, were analyzed with test day milk yield data from herds near weather stations to identify the most appropriate temperature-humidity index (THI) to measure losses in milk production due to heat stress in the semiarid climate of Arizona and the humid climate of Georgia. Seven THI with different weightings of dry bulb temperature and humidity were compared. Test-day data were analyzed using 2 models to determine threshold of heat stress and rate of decline of milk production associated with a specific THI. Differences in thresholds of heat stress were found among indices and between regions. Indices with higher weights on humidity were best in the humid climate, whereas indices with larger weights on temperature were the best indicators of heat stress in the semiarid climate. Humidity was the limiting factor of heat stress in humid climates, whereas dry bulb temperature was the limiting factor of heat stress in dry climates.
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              Black Globe-Humidity Index (BGHI) as Comfort Equation for Dairy Cows

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                Author and article information

                Contributors
                12 6624009 , s.angrecka@ur.krakow.pl
                Journal
                Int J Biometeorol
                Int J Biometeorol
                International Journal of Biometeorology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0020-7128
                1432-1254
                27 October 2018
                27 October 2018
                2018
                : 62
                : 12
                : 2089-2097
                Affiliations
                [1 ]ISNI 0000 0001 2150 7124, GRID grid.410701.3, Department of Rural Building, , University of Agriculture in Krakow, ; al. Mickiewicza 24-28, 30-059 Krakow, Poland
                [2 ]ISNI 0000 0001 1197 1855, GRID grid.419741.e, Department of Production Systems and Environment, , National Research Institute of Animal Production, ; 1, Krakowska Street, 32-083 Balice near Krakow, Poland
                Article
                1629
                10.1007/s00484-018-1629-9
                6244856
                30368680
                7f210d51-39f1-477c-a8b4-3b89b546d2dc
                © The Author(s) 2018

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 23 November 2017
                : 12 July 2018
                : 5 October 2018
                Categories
                Review Paper
                Custom metadata
                © ISB 2018

                Atmospheric science & Climatology
                cows,welfare,heat stress,thi,forecasting,environment
                Atmospheric science & Climatology
                cows, welfare, heat stress, thi, forecasting, environment

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