Chapter 1: Introduction
Climate change leads to higher average and daily maximum temperatures as well as a more frequent occurrence of heat waves (Citation: MeteoSchweiz, 2024 MeteoSchweiz (2024). Klima-Indikatoren. https://www.meteoschweiz.admin.ch/service-und-publikationen/applikationen/ext/climate-indicators-public.html. ; Citation: IPCC, 2023 IPCC (2023). IPCC, 2023: Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, H. Lee and J. Romero (eds.)]. IPCC, Geneva, Switzerland. . Intergovernmental Panel on Climate Change (IPCC) Retrieved from https://www.ipcc.ch/report/ar6/syr/ ). For example, summers in Switzerland during 2023, 2022, 2019, 2018, 2017, and 2015 have demonstrated a marked increase in the frequency of prolonged periods of high temperatures (Citation: MeteoSchweiz, 2023 MeteoSchweiz (2023). Sommer 2023 mit bemerkenswert später Hitzewelle. https://www.meteoschweiz.admin.ch/ueber-uns/meteoschweiz-blog/de/2023/08/sommer-2023-mit-spaeter-hitzewelle.html. ). Figure 1.1 depicts this trend.

These unfavorable weather conditions are detrimental to agricultural production. For dairy farmers, elevated temperatures can adversely affect milk yield, quality, fertility, and other related factors (Citation: Bernabucci et al., 2015 Bernabucci, U., Basiricò, L., Morera, P., Dipasquale, D., Vitali, A., Piccioli Cappelli, F. & Calamari, L. (2015). Effect of summer season on milk protein fractions in Holstein cows. , 98(3). 1815–1827. https://doi.org/10.3168/jds.2014-8788 ; Citation: Lambertz et al., 2014 Lambertz, C., Sanker, C. & Gauly, M. (2014). Climatic effects on milk production traits and somatic cell score in lactating Holstein-Friesian cows in different housing systems. , 97(1). 319–329. https://doi.org/10.3168/jds.2013-7217 ; Citation: Bohmanova et al., 2007 Bohmanova, J., Misztal, I. & Cole, J. (2007). Temperature-Humidity Indices as Indicators of Milk Production Losses due to Heat Stress. , 90(4). 1947–1956. https://doi.org/10.3168/jds.2006-513 ; Citation: Dunn et al., 2014 Dunn, R., Mead, N., Willett, K. & Parker, D. (2014). Analysis of heat stress in UK dairy cattle and impact on milk yields. , 9(6). 064006. https://doi.org/10.1088/1748-9326/9/6/064006 ; Citation: Ranjitkar et al., 2020 Ranjitkar, S., Bu, D., Van Wijk, M., Ma, Y., Ma, L., Zhao, L., Shi, J., Liu, C. & Xu, J. (2020). Will heat stress take its toll on milk production in China?. , 161(4). 637–652. https://doi.org/10.1007/s10584-020-02688-4 ; Citation: West, 2003 West, J. (2003). Effects of Heat-Stress on Production in Dairy Cattle. , 86(6). 2131–2144. https://doi.org/10.3168/jds.S0022-0302(03)73803-X ; Citation: Gantner et al., 2017 Gantner, V., Bobic, T., Gantner, R., Gregic, M., Kuterovac, K., Novakovic, J. & Potocnik, K. (2017). Differences in response to heat stress due to production level and breed of dairy cows. , 61(9). 1675–1685. https://doi.org/10.1007/s00484-017-1348-7 ; Citation: Maggiolino et al., 2020 Maggiolino, A., Dahl, G., Bartolomeo, N., Bernabucci, U., Vitali, A., Serio, G., Cassandro, M., Centoducati, G., Santus, E. & De Palo, P. (2020). Estimation of maximum thermo-hygrometric index thresholds affecting milk production in Italian Brown Swiss cattle. , 103(9). 8541–8553. https://doi.org/10.3168/jds.2020-18622 ; Citation: Salfer et al., 2019 Salfer, I., Dechow, C. & Harvatine, K. (2019). Annual rhythms of milk and milk fat and protein production in dairy cattle in the United States. , 102(1). 742–753. https://doi.org/10.3168/jds.2018-15040 ; Citation: Smith et al., 2013 Smith, D., Smith, T., Rude, B. & Ward, S. (2013). Short communication: Comparison of the effects of heat stress on milk and component yields and somatic cell score in Holstein and Jersey cows. , 96(5). 3028–3033. https://doi.org/10.3168/jds.2012-5737 ; Citation: Hammami et al., 2013 Hammami, H., Bormann, J., M’hamdi, N., Montaldo, H. & Gengler, N. (2013). Evaluation of heat stress effects on production traits and somatic cell score of Holsteins in a temperate environment. , 96(3). 1844–1855. https://doi.org/10.3168/jds.2012-5947 ; Citation: Hill & , 2015 Hill, D. & Wall, E. (2015). Dairy cattle in a temperate climate: The effects of weather on milk yield and composition depend on management. , 9(1). 138–149. https://doi.org/10.1017/S1751731114002456 ; Citation: Vitali et al., 2015 Vitali, A., Felici, A., Esposito, S., Bernabucci, U., Bertocchi, L., Maresca, C., Nardone, A. & Lacetera, N. (2015). The effect of heat waves on dairy cow mortality. , 98(7). 4572–4579. https://doi.org/10.3168/jds.2015-9331 ; Citation: Cox et al., 2016 Cox, B., Gasparrini, A., Catry, B., Delcloo, A., Bijnens, E., Vangronsveld, J. & Nawrot, T. (2016). Mortality related to cold and heat. What do we learn from dairy cattle?. , 149. 231–238. https://doi.org/10.1016/j.envres.2016.05.018 ). The magnitude of the effects of heat stress on dairy milk production varies across breeds and has been analyzed for a subset of breeds and geographic regions outside of Switzerland (Citation: Bryant et al., 2007 Bryant, J., López‐Villalobos, N., Pryce, J., Holmes, C. & Johnson, D. (2007). Quantifying the effect of thermal environment on production traits in three breeds of dairy cattle in New Zealand. , 50(3). 327–338. https://doi.org/10.1080/00288230709510301 ; Citation: Smith et al., 2013 Smith, D., Smith, T., Rude, B. & Ward, S. (2013). Short communication: Comparison of the effects of heat stress on milk and component yields and somatic cell score in Holstein and Jersey cows. , 96(5). 3028–3033. https://doi.org/10.3168/jds.2012-5737 ; Citation: Gantner et al., 2017 Gantner, V., Bobic, T., Gantner, R., Gregic, M., Kuterovac, K., Novakovic, J. & Potocnik, K. (2017). Differences in response to heat stress due to production level and breed of dairy cows. , 61(9). 1675–1685. https://doi.org/10.1007/s00484-017-1348-7 ; Citation: Ahmed et al., 2022 Ahmed, H., Tamminen, L. & Emanuelson, U. (2022). Temperature, productivity, and heat tolerance: Evidence from Swedish dairy production. , 175(1-2). 10. https://doi.org/10.1007/s10584-022-03461-5 ). Although the dairy sector represents the largest share of the national agricultural production, accounting for 23% of total output with over 545'000 cows (Citation: BLW, 2023 BLW (2023). Agrarbericht 2023. . ), the extent to which dairy producers are exposed to quantitative and qualitative milk losses for different breeds remains uncertain. According to the Swiss Federal Office of Agriculture, the agricultural production should be adapted to climate and regional properties. In line with this objective, this work provides an assessment of how hot weather impacts the milk quantity and quality in Switzerland. In particular, we examine how milk yield (MY) and energy-corrected milk yield (ECM) are affected by varying levels of the Temperature Humidity Index (THI). Acknowledging that previous studies indicate diverse coping mechanisms with heat stress among breeds, this research emphasizes a comparative analysis of multiple breeds. To facilitate this investigation, we utilize subsamples from a dataset comprising 130 million test-day samples sourced from the three principal breeding organizations in Switzerland. These samples span a period of 42 years, from 1982 to 2023, with data from six predominant breeds: Holstein, Brown Swiss, Original Braunvieh, Swiss Fleckvieh, Simmental, and Jersey. The dataset covers the entire national territory.
1. Literature Review
1.1 The Effect of Heat Stress Across Dairy Cow Breeds
Different breeds have different responses to heat stress with respect to milk production. The impact of heat stress while making a distinction between breeds is globally understudied.
The majority of studies assessing the impact of heat stress on the performance of dairy cows focus on a single breed, with examples such as (Citation: Bernabucci et al., 2015 Bernabucci, U., Basiricò, L., Morera, P., Dipasquale, D., Vitali, A., Piccioli Cappelli, F. & Calamari, L. (2015). Effect of summer season on milk protein fractions in Holstein cows. , 98(3). 1815–1827. https://doi.org/10.3168/jds.2014-8788 ; Citation: Lambertz et al., 2014 Lambertz, C., Sanker, C. & Gauly, M. (2014). Climatic effects on milk production traits and somatic cell score in lactating Holstein-Friesian cows in different housing systems. , 97(1). 319–329. https://doi.org/10.3168/jds.2013-7217 ; Citation: Hammami et al., 2013 Hammami, H., Bormann, J., M’hamdi, N., Montaldo, H. & Gengler, N. (2013). Evaluation of heat stress effects on production traits and somatic cell score of Holsteins in a temperate environment. , 96(3). 1844–1855. https://doi.org/10.3168/jds.2012-5947 ; Citation: Hill & , 2015 Hill, D. & Wall, E. (2015). Dairy cattle in a temperate climate: The effects of weather on milk yield and composition depend on management. , 9(1). 138–149. https://doi.org/10.1017/S1751731114002456 ). Only a limited number of authors consider multiple breeds. According to Citation: Bryant et al., 2007 Bryant, J., López‐Villalobos, N., Pryce, J., Holmes, C. & Johnson, D. (2007). Quantifying the effect of thermal environment on production traits in three breeds of dairy cattle in New Zealand. , 50(3). 327–338. https://doi.org/10.1080/00288230709510301 , Holstein Friesians exhibit greater sensitivity to heat effects compared to New Zealand Jerseys, with the latter maintaining a more stable milk yield under elevated 3-day mean THI conditions. No significant differences were observed in protein and fat content between the two breeds. (Citation: Smith et al., 2013 Smith, D., Smith, T., Rude, B. & Ward, S. (2013). Short communication: Comparison of the effects of heat stress on milk and component yields and somatic cell score in Holstein and Jersey cows. , 96(5). 3028–3033. https://doi.org/10.3168/jds.2012-5737 ) report an increase in milk production among Jersey cows during heat stress, while performance declines for Holsteins in a research farm in the United States. Citation: Gantner et al., 2017 Gantner, V., Bobic, T., Gantner, R., Gregic, M., Kuterovac, K., Novakovic, J. & Potocnik, K. (2017). Differences in response to heat stress due to production level and breed of dairy cows. , 61(9). 1675–1685. https://doi.org/10.1007/s00484-017-1348-7 explore the milk performance of Holstein and Simmental cows in Croatia, finding a greater vulnerability to heat stress among high-producing cows compared to their low-performing counterparts. Their findings suggest a higher resistance to heat stress in Simmental breeds compared to Holsteins, though further research is warranted. Citation: Ahmed et al., 2022 Ahmed, H., Tamminen, L. & Emanuelson, U. (2022). Temperature, productivity, and heat tolerance: Evidence from Swedish dairy production. , 175(1-2). 10. https://doi.org/10.1007/s10584-022-03461-5 examine the effects of heat shocks—defined as periods of five consecutive days with average temperatures exceeding 25°C—on milk production. Overall, no significant differences in heat shock tolerance were observed among Swedish Holsteins, Swedish Reds, and a crossbreed of the two in Sweden, suggesting that breed diversification as a strategy to mitigate heat stress risks is ineffective. Nonetheless, Swedish Red cows exhibit greater resilience to negative heat effects when considering heat events in relation to the genetic milk index. Citation: Cuellar et al., 2023 Cuellar, C., Saleem, M., Jensen, L. & Hansen, P. (2023). Differences in body temperature regulation during heat stress and seasonal depression in milk yield between Holstein, Brown Swiss, and crossbred cows. , 106(5). 3625–3632. https://doi.org/10.3168/jds.2022-22725 include Brown Swiss in a comparative study with Holsteins and their crossbreeds, finding a more pronounced decrease in milk yield for Brown Swiss than for Holstein.
1.2 The Effect of Heat Stress in Swiss Dairy Production
The effect of heat stress on the quantity and quality of milk production at the animal-level for commercial farms in grassland-based systems over a long period of time is understudied in Switzerland.
Globally, the phenomenon of heat stress in dairy cows is extensively researched, particularly at the level of individual animals in research farms. Additionally, numerous studies have quantified the effects of heat stress on dairy cows using panel data across various regions worldwide. The works mentioned in the preceding paragraph represent only a select number of these investigations. Only a few recent studies consider data from Switzerland to study the effects of heat stress on dairy cows: Citation: Bucheli et al., 2022 Bucheli, J., Uldry, M. & Finger, R. (2022). Heat risks in Swiss milk production. , 1(3). 304–319. https://doi.org/10.1002/jaa2.24 analyze the annualized farm-level effect of heat stress on milk revenues, veterinary expenses, and feed purchases. In the period from 2003 to 2015, Swiss farmers are on average financially robust to heat exposure. However, this does not imply the non-existence of a related risk. Citation: Gasser et al., 2023 Gasser, L., Cruz, F. & Cockburn, M. (2023). Can meteorological data improve the short-term prediction of individual milk yield in dairy cows?. , 106(8). 5501–5516. https://doi.org/10.3168/jds.2022-22980 find that meteorological features do not improve the accuracy of daily milk yield predictions. The data originates from an experimental farm in Tänikon, Switzerland. Furthermore, Citation: Holinger et al., 2024 Holinger, M., Bühl, V., Helbing, M., Pieper, L., Kürmann, S., Pontiggia, A., Dohme-Meier, F., Keil, N. & Ammer, S. (2024). Behavioural changes to moderate heat load in grazing dairy cows under on-farm conditions. , 279. 105376. https://doi.org/10.1016/j.livsci.2023.105376 observe behavioral changes in cows under heat stress with data from four Swiss commercial farms in the period from June to September 2021. During days characterized by elevated maximum THI values, cows are observed more frequently in proximity to the drinker during the morning hours. In contrast, during the afternoon, they tend to congregate in close proximity to each other and seek shade. Moreover, on such days, there is a notable decrease in the duration of time spent lying down, accompanied by an increase in their locomotor activity as noon approaches.
2. Research Objective
This study seeks to build upon methodologies established in prior research to examine the impact of heat stress on Swiss dairy production across various breeds. Although the complex physiological responses of individual animals to heat stress are extensively studied and well documented (Citation: Kadzere et al., 2002 Kadzere, C., Murphy, M., Silanikove, N. & Maltz, E. (2002). Heat stress in lactating dairy cows: A review. , 77(1). 59–91. https://doi.org/10.1016/S0301-6226(01)00330-X ; Citation: Becker et al., 2020 Becker, C., Collier, R. & Stone, A. (2020). Invited review: Physiological and behavioral effects of heat stress in dairy cows. , 103(8). 6751–6770. https://doi.org/10.3168/jds.2019-17929 ), the effects of heat stress at broader geospatial scales, including herd, regional, and national levels in grassland-based systems across breeds, remain under-researched. Swiss dairy farms predominantly employ pasture-based systems, with cows spending substantial amounts of time grazing outdoors (Citation: BLW, 2023 BLW (2023). Agrarbericht 2023. . ). Evaluating the effects of THI on milk performance variables within this production context could provide valuable insights into the actual influence of ambient temperature and humidity on dairy cows.
Heat stress exerts a direct impact on economically significant factors, including milk yield, milk component yield, and the health of cows. For dairy farmers, variations in the quantity and quality of production are anticipated and regarded as standard to some degree. Nevertheless, these agronomic factors are intrinsically connected to the dairy producers’ revenue streams from milk. Farmers continuously modify their management practices, generally through technological advancements, enhanced knowledge, or shifts in policy (Citation: BLW, 2023 BLW (2023). Agrarbericht 2023. . ; Citation: Koutouzidou et al., 2022 Koutouzidou, G., Ragkos, A. & Melfou, K. (2022). Evolution of the Structure and Economic Management of the Dairy Cow Sector. , 14(18). 11602. https://doi.org/10.3390/su141811602 ), as well as in response to heat stress (Citation: Ji et al., 2020 Ji, B., Banhazi, T., Perano, K., Ghahramani, A., Bowtell, L., Wang, C. & Li, B. (2020). A review of measuring, assessing and mitigating heat stress in dairy cattle. , 199. 4–26. https://doi.org/10.1016/j.biosystemseng.2020.07.009 ; Citation: Vroege et al., 2023 Vroege, W., Dalhaus, T., Wauters, E. & Finger, R. (2023). Effects of extreme heat on milk quantity and quality. , 210. 103731. https://doi.org/10.1016/j.agsy.2023.103731 ). This includes, for example, feeding regimes, housing systems, cooling systems, milking technologies, or breeding strategies (Citation: Kadzere et al., 2002 Kadzere, C., Murphy, M., Silanikove, N. & Maltz, E. (2002). Heat stress in lactating dairy cows: A review. , 77(1). 59–91. https://doi.org/10.1016/S0301-6226(01)00330-X ; Citation: West, 2003 West, J. (2003). Effects of Heat-Stress on Production in Dairy Cattle. , 86(6). 2131–2144. https://doi.org/10.3168/jds.S0022-0302(03)73803-X ). All these potentially confound heat stress effects and pose obstacles for a full isolation of the causal weather effects.
Switzerland is a topologically diverse country. This geographic variability leads to different heat exposures on a regional level, as depicted in Figure 1.2. The effective animal-level heat exposure depends on many environmental factors. In our work, our aim is to develop a framework to isolate the weather effects from farm-specific properties, spatial heterogeneity, herd characteristics, as well as individual animal responses, and assess their impact on the aforementioned agronomic indicators. Moreover, we specifically check for weather effect differences across breeds to validate if certain breeds are more heat-stress tolerant than others and may qualify for heat-stress resilience under the warming climatic trends in Switzerland. Our analysis remains at the breed level and does not consider genomic selection or herd evolution. $t_1$

3. Research Question and Hypothesis
To achieve the above-mentioned objective, the study sets the main focus on the following research question:
At what Temperature Humidity Index (THI) values do changes in dairy performance occur for the different dairy cow breeds in Switzerland?
The primary variables under consideration are the milk yield, measured in kilograms per day, and the energy-corrected milk yield (ECM), also measured in kilograms per day. The ECM incorporates yields from both fat and protein components. Recognizing the variance in component yields across different breeds, the ECM yield provides a standardized measure for comparative analysis among breeds. Building upon previous studies, it is anticipated that both volumetric and component yields will decline once specific thresholds of the Temperature-Humidity Index (THI) are surpassed. Reported threshold values include 68 (Citation: De Rensis et al., 2015 De Rensis, F., Garcia-Ispierto, I. & López-Gatius, F. (2015). Seasonal heat stress: Clinical implications and hormone treatments for the fertility of dairy cows. , 84(5). 659–666. https://doi.org/10.1016/j.theriogenology.2015.04.021 ), 72 (Citation: Armstrong, 1994 Armstrong, D. (1994). Heat Stress Interaction with Shade and Cooling. , 77(7). 2044–2050. https://doi.org/10.3168/jds.S0022-0302(94)77149-6 ), and 76 (Citation: Vroege et al., 2023 Vroege, W., Dalhaus, T., Wauters, E. & Finger, R. (2023). Effects of extreme heat on milk quantity and quality. , 210. 103731. https://doi.org/10.1016/j.agsy.2023.103731 )1. It is further anticipated that there will be breed-specific variations in the THI values critical for optimal dairy performance (Citation: Kadzere et al., 2002 Kadzere, C., Murphy, M., Silanikove, N. & Maltz, E. (2002). Heat stress in lactating dairy cows: A review. , 77(1). 59–91. https://doi.org/10.1016/S0301-6226(01)00330-X ). Jerseys are posited to exhibit greater heat tolerance compared to Holsteins, a characteristic also expected in the Simmental breed. In conclusion, the Holstein breed, known for high yields, is likely to experience greater stress under increased heat conditions compared to lower-yielding breeds such as Simmental and Jersey.
4. Organization
The remainder of this report is organized as follows: First, in Chapter 2, we provide an overview of various aspects regarding heat stress in dairy cows, breeds, and farms to set the agronomic scope. This includes aspects from animal physiology, but also political and economic aspects of the Swiss dairy market because our study covers a time period of 42 years. Second, within Chapter Chapter 3, in consideration of the non-experimental nature of our study, we delineate our data strategy along with an exploratory data analysis in Section 3.1. This examination incorporates the agronomic, the meteorological, and the geospatial data. Guided by our research question and the insights gained from the data analysis, we determine the appropriate model and estimation strategy in Section 3.2 and Section 3.4. This includes our methodological advancement to estimate Generalized Additive Mixed Models with an unprecedented number of random effect factor levels. Third, we analyze and discuss the findings in Chapter 4. The concluding Chapter 5 summarizes our contributions, limitations, and also proposes future research directions.
5. Bibliography
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- Armstrong, D. (1994). Heat Stress Interaction with Shade and Cooling. , 77(7). 2044–2050. https://doi.org/10.3168/jds.S0022-0302(94)77149-6
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- Bryant, J., López‐Villalobos, N., Pryce, J., Holmes, C. & Johnson, D. (2007). Quantifying the effect of thermal environment on production traits in three breeds of dairy cattle in New Zealand. , 50(3). 327–338. https://doi.org/10.1080/00288230709510301
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- Kadzere, C., Murphy, M., Silanikove, N. & Maltz, E. (2002). Heat stress in lactating dairy cows: A review. , 77(1). 59–91. https://doi.org/10.1016/S0301-6226(01)00330-X
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Many studies employ differing definitions of THI and utilize diverse aggregation methodologies, including summation, averaging, as well as determining minimal or maximal values over hours, single days, multiple days, weeks, months, or even years. Consequently, careful consideration is imperative in the interpretation of THI values. ↩︎