Application of Meta Analysis Methods in Analyzing Temperature Effects on Laying Hens Production
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Abstract
The purpose of this research was to apply of Meta Analysis Methods in analyzingtemperature effects on laying hens production .The research process was divided into 4 steps: 1) Gathering reliable data related to temperature effects on egg production from credible sources 2) Grouping temperature levels affecting egg production within the same rearing period to determine frequency and analyze trends3) Testing the differences in frequency of temperature levels affecting egg production using the Chi-Square Test and 4)Validating the temperature levels affecting egg production through in-depth interviews with experts in poultry research and faculty members responsible for undergraduate programs in Animal Production Technology.The results showed thatthe temperatures influencing egg production in starter chickens (0-6 weeks) are 32, 33, and 35 degrees Celsius, while temperatures impacting egg production in grower chickens (7-18 weeks) fall between 21-24 degrees Celsius. For layer chickens (19-80 weeks), the temperature range affecting egg production is between 18-30 degrees Celsius.
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References
National Statistical Office. (2021). The summary of the labor force survey for December 2020. Available from https://www.nso.go.th. Accessed date: 1 October 2023. (in Thai)
Office of Agricultural Economics. (2020). Agricultural economic conditions in 2020 and outlook for 2021. Available from https://www.oae.go.th. Accessed date: 1 October 2023. (in Thai)
Kasikornbank. (2021). Smart agriculture: The agriculture driven by innovation (January 2021). Available from https://katalyst.kasikornbank.com. Accessed date: 1 October 2023. (in Thai)
Hy-Line International. (2019). Hy-Line Brown commercial management guide. Iowa: Hy-Line.
Nitsan, Z., et al. (1995). Intubation of weight-selected chicks with soybean oil or residual yolk: Effect on early growth and development. Poultry Science, 74(6), 925-936.
Siripachornwet, K. (2016). Factors affecting chick mortality rate during brooding and growth performance of broilers (Undergraduate seminar, Prince of Songkla University). (in Thai)
Bell, D. D., & Weaver, W. W. (2002). Commercial chicken meat and egg production. 5th ed. Dordrecht: Kluwer Academic Publishers.
Tharachai, P. (2017). Poultry farm management. Chiang Mai: Maejo University. (in Thai)
Nawab, A., et al. (2018). Heat stress in poultry production: Mitigation strategies to overcome the future challenges facing the global poultry industry. Journal of Thermal Biology, 78, 131-139.
Glass, G.V., et al. (1981). Meta-Analysisin Social Research. London: Sage Publications.
Pulsuwan, S. (1996). Meta-analysis: Constructing knowledge from research. Bangkok: Srinakharinwirot University. (in Thai)
Wiratchai, N. (1999). Meta-analysis. Bangkok: Nichin Advertising Group. (in Thai)
Shelby, L. B., & Vaske, J. J. (2008). Understanding meta-analysis: A review of the methodological literature. Leisure Sciences, 30, 96-110.
Borenstein, M., et al. (2009). Introduction to meta-analysis. West Sussex: Wiley.