Factors affecting milk composition in dairy farms located in Northern, Thailand https://doi.org/10.12982/VIS.2023.013

Main Article Content

Sarawut Kheowsri
Suvichai Rojanasthien
Warathit Semmarath
Christopher James Stott
Paparwee Sungkatavat
Tanakorn Phetkarl
Phuthita Rueangareerat
Apinun Suprasert
Ratchanee Atthi
Chockchai Chaimongkol
Carmencita Lavilla
Sasisopa Singhanetr
Viboon Yiengvisavakul
Aphiwat Pisetpaisan
Ngamchit Choongkittaworn
Chalutwan Sansamur
Kittima Lewchalermvong

Abstract

The objectives of this study were to investigate variations in the milk composition and somatic cell count (SCC) from dairy cooperatives in Northern Thailand from January 2017 to December 2021. Milk composition among dairy cooperatives was also compared. The dataset included monthly milk composition (total solid (TS)%, fat%, protein%, lactose%, solid not fat (SNF)% and SCC) data from 15 dairy cooperatives, 2 private organizations, and their milk collection centers (1,800 records) collected in five provinces, including Chiang Mai, Chiang Rai, Lampang, Lamphun, and Phrae. The seasons were cold season (November to February), hot season (March to June), and rainy season (July to October). The dataset was compared among dairy cooperatives using a general linear mixed model. To detect a correlation, spearman correlation coefficients were calculated between SCC and milk composition. Results showed that the season significantly affected milk composition. The hot season appeared as the most critical season for all the parameters examined, showing the significantly lowest values (P < 0.001) of TS (12.33±0.3%), fat (3.79±0.27%) and protein (3.02±0.07%) whereas, a significantly highest SCC was obtained in the rainy season (321.21±3.93 x 1,000 cell/ml). Milk collecting centers of dairy cooperatives located in many districts had significantly different milk composition and SCC values. Lactose is the milk component that undergoes the greatest variation in response to the increase in SCC. This study highlighted the variations influencing milk composition and provided information for stakeholders and their roles in the dairy sector at the farm, dairy cooperative, and provincial levels.

Article Details

How to Cite
Kheowsri, S. ., Rojanasthien, S. ., Semmarath, W. ., James Stott, C. ., Sungkatavat, P., Phetkarl, T. ., Rueangareerat, P. ., Suprasert, A. ., Atthi, R., Chaimongkol, C. ., Lavilla, C. ., Singhanetr, S. ., Yiengvisavakul, V. ., Pisetpaisan, A. ., Choongkittaworn, N. ., Sansamur, C. ., & Lewchalermvong, K. . (2023). Factors affecting milk composition in dairy farms located in Northern, Thailand: https://doi.org/10.12982/VIS.2023.013. Veterinary Integrative Sciences, 21(1), 157–173. Retrieved from https://he02.tci-thaijo.org/index.php/vis/article/view/261426
Section
Research Articles

References

Adler, S.A., Jensen, S.K., Govasmark, E., Steinshamn, H., 2013. Effect of short-term versus long-term grassland management and seasonal variation in organic and conventional dairy farming on the composition of bulk tank milk. J. Dairy. Sci. 96, 5793–5810.

Alhussien, M.N., Dang, A.K., 2018. Milk somatic cells, factors influencing their release, future prospects, and practical utility in dairy animals: An overview. Vet. world,11(5), 562–577.

Bertocchi, L., Vitali, A., Lacetera, N., Nardone, A., Varisco, G., Bernabucci, U., 2014. Seasonal variations in the composition of Holstein cow's milk and temperaturehumidity index relationship. Animal. 8(4), 667–674.

Cinar, M., Serbester, U., Ceyhan, A., Gorgulu, M., 2015. Effect of Somatic Cell Count on Milk Yield and Composition of First and Second Lactation Dairy Cows, Ital. J.Anim. Sci. 14, 3641-3646.

Dairy Farming Promotion Organization of Thailand, 2015. Milk Standard 2015. Available online: http://www.dpo.go.th/wp-contentuploads/2013/12Announcedpurchaserawmilk2015 .pdf (Accessed on September 30, 2022)

de Macedo, S.N., Gonçalves, J.L., Cortinhas, C.S., De Freitas Leite, R., dos Santos, M.V.,2018. Effect of somatic cell count on composition and hygiene indicators of bulktank milk. Braz. J. Vet. Res. Anim. Sci. 55(1), 1-11.

Hammami, H., Bormann, J., M'hamdi, N., Montaldo, H.H., Gengler, N., 2013. Evaluation of heat stress effects on production traits and somatic cell score of Holsteins in a temperate environment. J. Dairy. Sci. 96(3), 1844–1855.

Jatawa, D., Koonawootrittriron, S., Elzo, A.M., Suwanasopee, T., 2015. Bulk tank somatic cells and its relationship to milk production, milk composition, and revenue in dairy farms located in Central Thailand. In American Dairy Science Association®American Society of Animal Science, 12-16 July 2015. Available online: https://animal.ifas.ufl.edu/elzo/ presentations/regular/docs/2011_9_jatawa.pdf (Accessed on

September 30, 2022)

Jitmun, T., Kuwornu, J.K., Datta, A., Anal, A.K., 2020. Factors influencing membership of dairy co-operatives: evidence from dairy farmers in Thailand. J. Co-op. Organ. Manag. 8(1), 100-109.

Kampoosiri, N., Sawadrath, N., Thanardna, B. 2020. Relation of Good Agriculture Practice for Dairy Cattle Farm and Raw Milk Quality in Lopburi, Saraburi and Nakhon Ratchasima Provinces. Available online: http://www.qcon-trol.dld.go.th/images/ejournal/ejournal%20 1-2563/04-gap. pdf (Accessed on September 30, 2022)

Kongsook, P., Nantawichain, K., 2020. The different of milk composition and somatic cell count during season on dairy farms in Chiang Mai, Thailand. Available online: http://region5.dld.go.th/webnew/images/stories/2563/paper/6320116561.pdf (In Thai).

Koonawootrittriron, S., Elzo, M.A., Thongprapi, T., 2009. Genetic trends in a Holstein Other breeds multibreed dairy population in Central Thailand. Livest. Sci. 122,186–192.

Korhonen, H., Kaartinen, L., 1995. Changes in the composition of milk induced by mastitis. In: M. Sandholm, T. HonkanenBuzalski, L. Kaartinen, S. Pyörälä (Eds.), The bovine udder and mastitis. Gummerus kirjapaino Oy, Jyväskylä, Finland, pp. 76-82.

Leitner, G., Merin, U., Silanikove, N., 2011. Effects of glandular bacterial infection and stage of lactation on milk clotting parameters: comparison among cows, goats and sheep.Int. Dairy. J. 21(4), 279-285.

Miglior, F., Sewalem, A., Jamrozik, J., Lefebvre, D.M., Moore, R.K., 2006. Analysis of milk urea nitrogen and lactose and their effect on longevity in Canadian dairy cattle. J.Dairy. Sci. 89(12), 4886–4894.

Moran, C.A., Morlacchini, M., Keegan, J.D., Fusconi, G., 2018. The effect of dietary supplementation with Aurantiochytrium limacinum on lactating dairy cows in terms of animal health, productivity and milk composition. J. Anim. Physiol. Anim. Nutr.102, 576–590.

O'Callaghan, T.F., Hennessy, D., McAuliffe, S., Kilcawley, K.N., O'Donovan, M., Dillon, P., Ross, R.P., Stanton, C., 2016. Effect of pasture versus indoor feeding systems on raw milk composition and quality over an entire lactation. J. Dairy. Sci. 99(12),9424-9440.

O'Callaghan, T.F., Mannion, D.T., Hennessy, D., McAuliffe, S., O'Sullivan, M.G.,Leeuwendaal, N., Beresford, T.P., Dillon, P., Kilcawley, K.N., Sheehan, J.J.,Ross, R.P., Stanton, C., 2017. Effect of pasture versus indoor feeding systems on quality characteristics, nutritional composition, and sensory and volatile properties of full-fat cheddar cheese. J. Dairy. Sci. 100(8), 6053-6073.

Pinheiro, J., Bates, D., DebRoy, S., Sarkar, D., R Core Team., 2020. Linear and nonlinear mixed effects models. R package version 3.1-148. Available online: https://CRAN.Rproject.org/ package=nlme (Accessed on September 30, 2022)

Poulsen, N.A., Bertelsen, H.P., Jensen, H.B., Gustavsson, F., Glantz, M., Mansson, H.L.,Andren, A., Paulsson, M., Bendixen, C., Buitenhuis, A.J., Larsen, L.B., 2013. The occurrence of noncoagulating milk and the association of bovine milk coagulation properties with genetic variants of the caseins in 3 Scandinavian dairy breeds. J.Dairy. Sci. 96(8), 4830–4842.

Punyapornwithaya, V., Klaharn, K., Sansamur, C., Kitpipit, W., 2020. Trend and seasonality analysis of milk production from dairy cooperatives in Chiang Mai. Vet. Integr. Sci.19(1), 101–110.

Punyapornwithaya, V., Jampachaisri, K., Arjkumpa, O., Moonpho, M., Klaharn, K.,Kampoosiri, N., Sansamur, C., 2022. First study on assessments of farmers' benefits under a payment program based on dairy milk quality in Thailand. Vet. World. 15(4),1051–1057.

R Core Team., 2022. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available online: https://www.R-project. org/ (Accessed on September 30, 2022)

Rhone, J.A., Koonawootrittriron, S., Elzo, M.A., 2008a. A survey of decision making practices, educational experiences, and economic performance of two dairy farm populations in Central Thailand. Trop. Anim. Health. Prod. 40, 475-482.

Rhone, J.A., Ward, R., Vries, A. de, Koonawootrittriron, S., Elzo, M.A., 2008b. Comparison of two milk pricing systems and their effect on milk price and milk revenue of dairy farms in the Central region of Thailand. Trop. Anim. Health. Prod. 40, 341-348.

Sae-tiao, T., Koonawootrittriron, S., Suwanasopee, T., Elzo M.A., 2015. Changes in Temperature-Humidity Index and Number of Hot Days Related to Heat Stress of Dairy Cattle in Thailand. In American Dairy Science Association® American Society of Animal Science, 12-16 July 2015. Available online: https://animal.ifas.ufl.edu/elzo/posters/13_Sae -Tiao_ASAS2015_Poster_M253_TRS_Final_July-06-2015.pdf (Accessed on September 30, 2022)

Seangjun, A., Koonawootrittriron, S., 2007. Factors effecting on and association among purchasing price, fat content, bacterial contamination, and somatic cell count of raw milk yield producing by members of a dairy cooperative in Central of Thailand.In Proceedings of the 46th Kasetsart University Annual Conference, Bangkok,Thailand, 30 January - 2 February 2007, pp. 146-154.

Soberon, F., Ryan, C.M., Nydam, D.V., Galton, D.M., Overton, T.R., 2011. The effects of increased milking frequency during early lactation on milk yield and milk composition on commercial dairy farms. J. Dairy. Sci. 94, 4398–4405.

Sruamsiri, S., 2007. Agricultural wastes as dairy feed in Chiang Mai. Anim. Sci. J. 78(4),335-341.

Stelwagen, K., Hopstert, H., Van Der Werf, J.T.N., Blokhuist, H.J., 2000. Effects of isolation stress on mammary tight junctions in lactating dairy cows. J Dairy. Sci. 83(1), 48-51.

Stoop, W.M., Bovenhuis, H., Heck, J.M., van Arendonk, J.A., 2009. Effect of lactation stage and energy status on milk fat composition of holstein-friesian cows. J. Dairy. Sci.92(4), 1469-1478.

Suadsong, S., Suwimonteerabutr, J., Virakul, P., Chanpongsang, S., Kunavongkrit, A., 2008. Effect of improved cooling system on reproduction and lactation in dairy cows under tropical Conditions. Asian-Aust. J. Anim. Sci. 21, 555-560.

Suriyasathaporn, W. Chawalkul, S., 2002. Relationship of somatic cell count to milk composition of low or high bulk milk somatic cell count. KKU. Vet. J. 12, 86-91.

Suriyasathaporn, W., Initketkumnuen, U., Chewonari, T., 2010. Relationships among malondialdehyde, milk compositions, and somatic cell count in milk from bulk tank.Songk. J. Sci. Tech. 32, 23-26.

Thammahakin, P., Yawongsa, A., Rukkwamsuk, T., 2020. Effect of heat stress on reproductive performance of dairy cows under tropical climate: a review. J. Kasetsart Vet. 30(2),111-132.

Wongpom, B., Koonawootrittriron, S., Elzo, M.A., Suwanasopee, T., 2017. Milk yield, fat yield and fat percentage associations in a Thai multibreed dairy population. Agric. Nat. Resour. (Bangk.), 51, 218-222.

Waage, S., Sviland, S., Ødegaard, S.A., 1998. Identification of risk factors for clinical mastitis in dairy heifers. J. Dairy. Sci. 81, 1275–1284.

Yang, L., Yang, Q., Yi, M. Pang, Z.H., Xiong, B.H., 2013. Effects of seasonal change and parity on raw milk composition and related indexes in Chinese Holstein Cows in northern China. J. Dairy. Sci. 96, 6863-6869.

Yeamkong, S., Koonawootrittriron, S., Elzo M.A., Suwanasopee, T., 2010. Milk quantity, quality and revenue in dairy farms supported by a private organization in Central Thailand. Livestock Research for Rural Development. Available online: http://www.lrrd.org/lrrd22/2 /yeam22033.htm.