Evaluating the impact of heat stress on milk quality in South Korea
Jing Zhang
A and Kyeong-Soo Jeong B *
+ Author Affiliations
- Author Affiliations
A Faculty of Business, Huaiyin Institute of Technology, Huai’an 223001, People’s Republic of China.
B Department of Economics, Konkuk University, Seoul 05029, Republic of Korea.
Animal Production Science 62(15) 1501-1506 https://doi.org/10.1071/AN21592
Submitted: 7 December 2021 Accepted: 26 April 2022 Published: 6 June 2022
© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing
Abstract
Context: The probability of heat stress in South Korea is gradually increasing as a consequence of climate change. Although it is known that heat stress drives persistent negative effects on the lactation of dairy cattle, there is a lack of research on the effects of heat stress on milk quality in South Korea.
Aim: The aim of this study was to measure the influence of the temperature–humidity index (THI) on milk quality.
Methods: A non-parametric regression model was used to measure the influence of the THI on milk fat and milk protein. The data used in the model were obtained from observations of farmers’ management practises.
Key results: The concentrations of fat and protein in milk decreased when the THI was >65. In comparison with milk fat, milk protein was more significantly affected by heat stress.
Conclusions: A comparison of the THI values from 2001–2009 and 2010–2020 indicated that heat stress has occurred more frequently over time in South Korea. The concentrations of fat and protein in milk decrease when the THI exceeds 65.
Implications: Korean dairy farmers should build facilities that provide the optimal low and relatively dry conditions needed for dairy cattle to cope with heat stress and mitigate its impact on milk quality.
Keywords: climate change, dairy farm, heat stress, milk fat, milk protein, non-parametric regression, South Korea, temperature–humidity index.
References
Armstrong DV (1994) Heat stress interaction with shade and cooling. Journal of Dairy Science 77, 2044–2050.| Heat stress interaction with shade and cooling.Crossref | GoogleScholarGoogle Scholar | 7929964PubMed |
Berman A, Folman Y, Kaim M, Mamen M, Herz Z, Dolfenson D, Arieli A, Graber Y (1985) Upper critical temperatures and forced ventilation effects for high-yielding dairy cows in a subtropical climate. Journal of Dairy Science 68, 1488–1495.
| Upper critical temperatures and forced ventilation effects for high-yielding dairy cows in a subtropical climate.Crossref | GoogleScholarGoogle Scholar | 4019887PubMed |
Bernabucci U, Biffani S, Buggiotti L, Vitali A, Lacetera N, Nardone A (2014) The effects of heat stress in Italian Holstein dairy cattle. Journal of Dairy Science 97, 471–486.
| The effects of heat stress in Italian Holstein dairy cattle.Crossref | GoogleScholarGoogle Scholar | 24210494PubMed |
Bianca W (1962) Relative importance of dry- and wet-bulb temperatures in causing heat stress in cattle. Nature 195, 251–252.
| Relative importance of dry- and wet-bulb temperatures in causing heat stress in cattle.Crossref | GoogleScholarGoogle Scholar | 13868872PubMed |
Bohmanova J, Misztal I, Cole JB (2007) Temperature–humidity indices as indicators of milk production losses due to heat stress. Journal of Dairy Science 90, 1947–1956.
| Temperature–humidity indices as indicators of milk production losses due to heat stress.Crossref | GoogleScholarGoogle Scholar | 17369235PubMed |
Boo KO, Kwon WT, Baek HJ (2006) Change of extreme events of temperature and precipitation over Korea using regional projection of future climate change. Geophysical Research Letters 33, L01701
| Change of extreme events of temperature and precipitation over Korea using regional projection of future climate change.Crossref | GoogleScholarGoogle Scholar |
Bowman A, Hall P, Prvan T (1998) Bandwidth selection for the smoothing of distribution functions. Biometrika 85, 799–808.
| Bandwidth selection for the smoothing of distribution functions.Crossref | GoogleScholarGoogle Scholar |
Chung YS, Yoon MB, Kim HS (2004) On climate variations and changes observed in South Korea. Climate Change 66, 151–161.
| On climate variations and changes observed in South Korea.Crossref | GoogleScholarGoogle Scholar |
Collier RJ, Dahl GE, VanBaale MJ (2006) Major advances associated with environmental effects on dairy cattle. Journal of Dairy Science 89, 1244–1253.
| Major advances associated with environmental effects on dairy cattle.Crossref | GoogleScholarGoogle Scholar | 16537957PubMed |
Dunn RJH, Meed NE, Willett KM, Parker DE (2014) Analysis of heat stress in UK dairy cattle and impact on milk yields. Environmental Research Letters 9, 064006
| Analysis of heat stress in UK dairy cattle and impact on milk yields.Crossref | GoogleScholarGoogle Scholar |
Fan J, Gijbels I (1996) ‘Local polynomial modelling and its applications.’ (Chapman & Hall: London, UK)
Hardle W, Marron JS (1985) Optimal bandwidth selection in nonparametric regression function estimation. Annals of Statistics 13, 1465–1481.
| Optimal bandwidth selection in nonparametric regression function estimation.Crossref | GoogleScholarGoogle Scholar |
Im E-S, Choi Y-W, Ahn J-B (2017) Worsening of heat stress due to global warming in South Korea based on multi-RCM ensemble projections. Journal of Geophysical Research: Atmospheres 122, 11444–11461.
| Worsening of heat stress due to global warming in South Korea based on multi-RCM ensemble projections.Crossref | GoogleScholarGoogle Scholar |
Ji B, Banhazi T, Ghahramani A, Bowtell L, Wang C, Li B (2020) Modelling of heat stress in a robotic dairy farm. Part 4: time constant and cumulative effects of heat stress. Biosystems Engineering 199, 73–82.
| Modelling of heat stress in a robotic dairy farm. Part 4: time constant and cumulative effects of heat stress.Crossref | GoogleScholarGoogle Scholar |
Kadzere CT, Murphy MR, Silanikove N, Maltz E (2002) Heat stress in lactating dairy cows: a review. Livestock Production Science 77, 59–91.
| Heat stress in lactating dairy cows: a review.Crossref | GoogleScholarGoogle Scholar |
Liu Z, Ezernieks F, Wang J, Arachchillage NW, Garner JB, Wales WJ, Cocks BG, Rochfort S (2017) Heat stress in dairy cattle alters lipid composition of milk. Scientific Reports 7, 1–10.
| Heat stress in dairy cattle alters lipid composition of milk.Crossref | GoogleScholarGoogle Scholar |
Ministry of Environment (2020) Korean climate change assessment report 2020 [Online]. Available at http://www.climate.go.kr/home/cc_data/2020/Korean_Climate_Change_Assessment_Report_2020_2_eng_summary.pdf. [verified July 2020]
Nadaraya EA (1964) On estimating regression. Theory of Probability & Its Applications 9, 141–142.
| On estimating regression.Crossref | GoogleScholarGoogle Scholar |
National Research Council (1971) ‘A guide to environmental research on animals.’ (National Academy of Sciences: Washington, DC, USA)
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? Climate Change 161, 637–652.
| Will heat stress take its toll on milk production in China?Crossref | GoogleScholarGoogle Scholar |
Rhoads ML, Rhoads RP, VanBaale MJ, Collier RJ, Sanders SR, Weber WJ, Crooker BA, Baumgard LH (2009) Effects of heat stress and plane of nutrition on lactating Holstein cows: I. Production, metabolism, and aspects of circulating somatotropin. Journal of Dairy Science 92, 1986–1997.
| Effects of heat stress and plane of nutrition on lactating Holstein cows: I. Production, metabolism, and aspects of circulating somatotropin.Crossref | GoogleScholarGoogle Scholar | 19389956PubMed |
Shin JY, Kang M, Kim KR (2022) Outdoor thermal stress changes in South Korea: increasing inter-annual variability induced by different trends of heat and cold stresses. Science of The Total Environment 805, 150132
| Outdoor thermal stress changes in South Korea: increasing inter-annual variability induced by different trends of heat and cold stresses.Crossref | GoogleScholarGoogle Scholar | 34534873PubMed |
Spiers DE, Spain JN, Sampson JD, Rhoads RP (2004) Use of physiological parameters to predict milk yield and feed intake in heat-stressed dairy cows. Journal of Thermal Biology 29, 759–764.
| Use of physiological parameters to predict milk yield and feed intake in heat-stressed dairy cows.Crossref | GoogleScholarGoogle Scholar |
St-Pierre NR, Cobanov B, Schnitkey G (2003) Economic losses from heat stress by US livestock industries. Journal of Dairy Science 86, E52–E77.
| Economic losses from heat stress by US livestock industries.Crossref | GoogleScholarGoogle Scholar |
Stull CL, McV Messam L, Collar CA, Peterson NG, Castillo AR, Reed BA, Andersen KL, VerBoort WR (2008) Precipitation and temperature effects on mortality and lactation parameters of dairy cattle in California. Journal of Dairy Science 91, 4579–4591.
| Precipitation and temperature effects on mortality and lactation parameters of dairy cattle in California.Crossref | GoogleScholarGoogle Scholar | 19038933PubMed |
Thom EC (1959) The discomfort index. Weatherwise 12, 57–61.
| The discomfort index.Crossref | GoogleScholarGoogle Scholar |
Watson GS (1964) Smooth regression analysis. Sankhyā: The Indian Journal of Statistics 25, 359–372.
West JW (2003) Effects of heat-stress on production in dairy cattle. Journal of Dairy Science 86, 2131–2144.
| Effects of heat-stress on production in dairy cattle.Crossref | GoogleScholarGoogle Scholar | 12836950PubMed |
Wheelock JB, Rhoads RP, VanBaale MJ, Sanders SR, Baumgard LH (2010) Effects of heat stress on energetic metabolism in lactating Holstein cows. Journal of Dairy Science 93, 644–655.
| Effects of heat stress on energetic metabolism in lactating Holstein cows.Crossref | GoogleScholarGoogle Scholar | 20105536PubMed |
Yousef M (1985) ‘Stress physiology in livestock. Vol. I. Basic principles.’ (CRC Press: Boca Raton, FL, USA)
