Adaptation of climate-smart livestock practices on dairy cows farmers in Thailand
Main Article Content
Abstract
This study examines the adaptation of dairy farmers in Thailand in five aspects according to the latest climate change guidelines: 1) efficient energy management 2) grazing management 3) feed management 4) manure and waste management 5) animal health and disease management. A questionnaire was used to collect data from 400 medium-sized dairy cows in Saraburi, Nakhon Ratchasima, and Ratchaburi Provinces using order logit regression analysis. The study found that dairy farmers in the sample group were moderately adapted to the overall climate change in livestock farming practices. The factor that contributed the most to the higher level of practice was the personal factor, i.e., individual adaptability. If farmers have more forms of adaptation, it will affect the likelihood of complying with the Climate-smart livestock (CSL) at a large level, significantly increasing by 1.16 percentage, followed by economic factors such as access to funding sources in the system, social factors comprised of joining a cooperative group or a milk collection center, assistance or support from the government and access to information sources. Farmers who complete all five aspects will be able to mitigate the effects of climate change in the area and be in line with the climate. Government agencies and related agencies, including provincial and district livestock extension officers from cooperatives or raw milk receiving centers where farmers are members, should be provided with knowledge to raise awareness of the risks and impacts of climate change as well as promote adaptation models based on livestock farming practices that are abreast of climate change to mitigate and reduce yield losses from climate change impacts that will increase in the future.
Article Details
References
Abbas, Q., Han, J., Adeel, A., & Ullah, R. (2019). Dairy Production under climatic risks: Perception, perceived impacts and adaptations in Punjab, Pakistan. International Journal of Environmental Research and Public Health, 16(20), 4036. doi: 10.3390/ijerph16204036
Barnes, A. P., Islam, M. M., & Toma, L. (2013). Heterogeneity in climate change risk perception amongst dairy farmers: A latent class clustering analysis. Applied Geography, 41, 105-115.doi: 10.1016/j.apgeog.2013.03.011
Chankong, J., & Sittisuntikul, K. (2019). Adaptation of oil palm farmers on climate change-A case study of Surat Thani. Khon Kaen Agriculture Journal, 47(Suppl. 1), 53-58. (in Thai)
Djelailia, H., Bouraoui, R., Jemmali, B., & Najar, T. (2020). Effects of heat stress on reproductive efficiency in Holstein dairy cattle in the North African arid region. Reproduction in Domestic Animals, 55(9), 1250-1257.
El-Tarabany, M. S., Roushdy, E. M., & El-Tarabany, A. A. (2017). Production and health performance of Holstein, Brown Swiss and their crosses under subtropical environmental conditions. Animal Production Science, 57(6), 1137-1143. doi: 10.1071/AN15809
FAO. (2021). Climate-smart livestock production: A practical guide for Asia and the Pacific region. Accessed January 3, 2023. Retrieved from https://www.fao.org/publications/card/en/c/CB3170EN/
Fischer, G., Shah, M., Tubiello, F. N., & Van Velthuizen, H. (2005). Socio-economic and climate change impacts on agriculture: an integrated assessment, 1990-2080. Philosophical Transactions of the Royal Society B: Biological Sciences, 360(1463), 2067-2083. doi:10.1098/rstb.2005.1744
Gbetibouo, G. A. (2009). Understanding farmers' perceptions and adaptations to climate change and variability: The case of the Limpopo Basin, South Africa. Washington, D. C.: International Food Policy Research Institute (IFPRI).
Intergovernmental Panel on Climate Change. (2007). Climate change 2007: The Physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Accessed January 15, 2023. Retrieved from https://www.ipcc.ch/site/assets/uploads/2018/02/ar4-wg1-frontmatter-1.pdf
Jones, A. K., Jones, D. L., Edward-Jones, G., & Cross, P. (2013). Informing decision making in agricultural greenhouse gas mitigation policy: A best-worst scaling survey of expert and farmer opinion in the sheep industry. Environmental Science & Policy, 29, 46–56.
Kurukulasuriya, P., & Mendelsohn, R. (2017). Impact and adaptation of South-East Asian farmers to climate change: Conclusions and policy recommendations. Climate Change Economics, 8(03), 1740007. doi: 10.1142/S2010007817400073
Lamesegn, D. (2018). Review on effects of climate change on livestock production in Ethiopia. Online Journal of Animal and Feed Research, 8(6), 185-189.
Nunnally, J. C. (1978). Psychometric theory (2nd ed. ). New York: McGraw-Hill.
Sinnarong, N., Pongcharoen, K., Thaeye, K., Phuntulee, S., & Ngampiboonwet, W. (2018). The association of weather variables with rice production and simulation of agro-adaptation measure for northeast Thailand: evidence from panel data model. International Journal of Global Warming, 14(3), 330-355. doi: 10.1504/IJGW.2018.090400
Sinnarong, N., Thaeye, K., Phuntulee, S., Susawaengsup, C., & Aiikulola, O. I. (2019). Impacts of climate change and adaptation simulation for risk reduction of rain-fed rice production in central region. Economics and Public Policy Journal, 10(19), 36-58. (in Thai)
Vongnagnagorn, C., Indratula, T., & Bunyanuwat,
K. (1998). Effect of environmental temperature and humidity on milk production and fertility in Holstein Friesian crossbreed dairy cows. Accessed January 31, 2023. Retrieved from file:///C:/Users/acer/Downloads/KC3602035%20(3).pdf
Yamane, T. (1973). Statistics: an introductory analysis (3rd ed. ). New York: Harper and Row.