Cargando…
Estimating milk production losses by heat stress and its impacts on greenhouse gas emissions in Korean dairy farms
Meteorological disasters caused by climate change like heat, cold waves, and unusually long rainy seasons affect the milk productivity of cows. Studies have been conducted on how milk productivity and milk compositions change due to heat stress (HS). However, the estimation of losses in milk product...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Animal Sciences and Technology
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9353352/ https://www.ncbi.nlm.nih.gov/pubmed/35969695 http://dx.doi.org/10.5187/jast.2022.e134 |
_version_ | 1784762851581231104 |
---|---|
author | Park, Geun-woo Ataallahi, Mohammad Ham, Seon Yong Oh, Se Jong Kim, Ki-Youn Park, Kyu Hyun |
author_facet | Park, Geun-woo Ataallahi, Mohammad Ham, Seon Yong Oh, Se Jong Kim, Ki-Youn Park, Kyu Hyun |
author_sort | Park, Geun-woo |
collection | PubMed |
description | Meteorological disasters caused by climate change like heat, cold waves, and unusually long rainy seasons affect the milk productivity of cows. Studies have been conducted on how milk productivity and milk compositions change due to heat stress (HS). However, the estimation of losses in milk production due to HS and hereby environmental impacts of greenhouse gas (GHG) emissions are yet to be evaluated in Korean dairy farms. Dairy milk production and milk compositions data from March to October 2018, provided by the Korea Dairy Committee (KDC), were used to compare regional milk production with the temperature-humidity index (THI). Raw data for the daily temperature and relative humidity in 2018 were obtained from the Korea Meteorological Administration (KMA). This data was used to calculate the THI and the difference between the maximum and minimum temperature changing rate, as the average daily temperature range, to show the extent to which the temperature gap can affect milk productivity. The amount of milk was calculated based on the price of 926 won/kg from KDC. The results showed that the average milk production rate was the highest within the THI range 60–73 in three regions in May: Chulwon (northern region), Hwasung (central region), and Gunwi (southern region). The average milk production decreased by 4.96 ± 1.48% in northern region, 7.12 ± 2.36% in central region, and 7.94 ± 2.57% in southern region from June to August, which had a THI range of 73 or more, when compared to May. Based on the results, the level of THI should be maintained like May. If so, the farmers can earn a profit of 9,128,730 won/farm in northern region, 9,967,880 won/farm in central region, and 12,245,300 won/farm in southern region. Additionally, the average number of cows raised can be reduced by 2.41 ± 0.35 heads/farm, thereby reducing GHG emissions by 29.61 ± 4.36 kg CO(2)eq/day on average. Overall, the conclusion suggests that maintaining environmental conditions in the summer that are similar to those in May is necessary. This knowledge can be used for basic research to persuade farmers to change farm facilities to increase the economic benefits and improve animal welfare. |
format | Online Article Text |
id | pubmed-9353352 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Korean Society of Animal Sciences and Technology |
record_format | MEDLINE/PubMed |
spelling | pubmed-93533522022-08-12 Estimating milk production losses by heat stress and its impacts on greenhouse gas emissions in Korean dairy farms Park, Geun-woo Ataallahi, Mohammad Ham, Seon Yong Oh, Se Jong Kim, Ki-Youn Park, Kyu Hyun J Anim Sci Technol Research Article Meteorological disasters caused by climate change like heat, cold waves, and unusually long rainy seasons affect the milk productivity of cows. Studies have been conducted on how milk productivity and milk compositions change due to heat stress (HS). However, the estimation of losses in milk production due to HS and hereby environmental impacts of greenhouse gas (GHG) emissions are yet to be evaluated in Korean dairy farms. Dairy milk production and milk compositions data from March to October 2018, provided by the Korea Dairy Committee (KDC), were used to compare regional milk production with the temperature-humidity index (THI). Raw data for the daily temperature and relative humidity in 2018 were obtained from the Korea Meteorological Administration (KMA). This data was used to calculate the THI and the difference between the maximum and minimum temperature changing rate, as the average daily temperature range, to show the extent to which the temperature gap can affect milk productivity. The amount of milk was calculated based on the price of 926 won/kg from KDC. The results showed that the average milk production rate was the highest within the THI range 60–73 in three regions in May: Chulwon (northern region), Hwasung (central region), and Gunwi (southern region). The average milk production decreased by 4.96 ± 1.48% in northern region, 7.12 ± 2.36% in central region, and 7.94 ± 2.57% in southern region from June to August, which had a THI range of 73 or more, when compared to May. Based on the results, the level of THI should be maintained like May. If so, the farmers can earn a profit of 9,128,730 won/farm in northern region, 9,967,880 won/farm in central region, and 12,245,300 won/farm in southern region. Additionally, the average number of cows raised can be reduced by 2.41 ± 0.35 heads/farm, thereby reducing GHG emissions by 29.61 ± 4.36 kg CO(2)eq/day on average. Overall, the conclusion suggests that maintaining environmental conditions in the summer that are similar to those in May is necessary. This knowledge can be used for basic research to persuade farmers to change farm facilities to increase the economic benefits and improve animal welfare. Korean Society of Animal Sciences and Technology 2022-07 2022-07-31 /pmc/articles/PMC9353352/ /pubmed/35969695 http://dx.doi.org/10.5187/jast.2022.e134 Text en © Copyright 2022 Korean Society of Animal Science and Technology https://creativecommons.org/licenses/by-nc/4.0/This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Park, Geun-woo Ataallahi, Mohammad Ham, Seon Yong Oh, Se Jong Kim, Ki-Youn Park, Kyu Hyun Estimating milk production losses by heat stress and its impacts on greenhouse gas emissions in Korean dairy farms |
title | Estimating milk production losses by heat stress and its impacts on
greenhouse gas emissions in Korean dairy farms |
title_full | Estimating milk production losses by heat stress and its impacts on
greenhouse gas emissions in Korean dairy farms |
title_fullStr | Estimating milk production losses by heat stress and its impacts on
greenhouse gas emissions in Korean dairy farms |
title_full_unstemmed | Estimating milk production losses by heat stress and its impacts on
greenhouse gas emissions in Korean dairy farms |
title_short | Estimating milk production losses by heat stress and its impacts on
greenhouse gas emissions in Korean dairy farms |
title_sort | estimating milk production losses by heat stress and its impacts on
greenhouse gas emissions in korean dairy farms |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9353352/ https://www.ncbi.nlm.nih.gov/pubmed/35969695 http://dx.doi.org/10.5187/jast.2022.e134 |
work_keys_str_mv | AT parkgeunwoo estimatingmilkproductionlossesbyheatstressanditsimpactsongreenhousegasemissionsinkoreandairyfarms AT ataallahimohammad estimatingmilkproductionlossesbyheatstressanditsimpactsongreenhousegasemissionsinkoreandairyfarms AT hamseonyong estimatingmilkproductionlossesbyheatstressanditsimpactsongreenhousegasemissionsinkoreandairyfarms AT ohsejong estimatingmilkproductionlossesbyheatstressanditsimpactsongreenhousegasemissionsinkoreandairyfarms AT kimkiyoun estimatingmilkproductionlossesbyheatstressanditsimpactsongreenhousegasemissionsinkoreandairyfarms AT parkkyuhyun estimatingmilkproductionlossesbyheatstressanditsimpactsongreenhousegasemissionsinkoreandairyfarms |