The Effect of Genetic, Biochemical and Environmental Factors on Milk Yield and Composition
DOI:
https://doi.org/10.5281/zenodo.15700957Keywords:
Feeding, lactation, milking, milk composition, milk yieldAbstract
Milk is a complex biological fluid shaped by many genetic and environmental factors in terms of its biochemical content and production amount. This review aims to address the scientific basis of factors such as animal breed, lactation period, age, health status, environmental temperature, milking time and method, feeding strategies, psychological state of the animal and care practices which are determinants of milk composition and yield. Although genetic structure is the main determinant of milk production, feeding regime, environmental stress factors and management practices also have important effects on milk quantity and composition. While a decrease in milk yield is observed in the later stages of lactation, significant changes occur in macro and micronutrient components. Especially malnutrition, pathological conditions and environmental stress factors can negatively affect the biochemical composition of milk. The frequency and method of milking are determinant on milk secretion mechanisms and optimal milking practices play a critical role in increasing productivity. In addition, animal welfare and care conditions have a direct impact on milk production processes, and the development of optimal management strategies is essential for sustainable milk production.
References
Ashokan, M., Ramesha, K. P., Hallur, S., Karthikkeyan, G., Rana, E., Azharuddin, N., ... & Keshava Prasad, T. S. (2021). Differences in milk metabolites in Malnad Gidda (Bos indicus) cows reared under pasture-based feeding system. Scientific Reports, 11(1), 2831.
Caboni, P. Murgia, A. Porcu, A., Manis, C., Ibba, I., Contu, M., & Scano, P. (2019). A metabolomics comparison between sheep's and goat's milk. Food research international, 119, 869-875.
Coppa, M., Ferlay, A., Chassaing, C., Agabriel, C., Glasser, F., Chilliard, Y., ... & Martin, B. (2013). Prediction of bulk milk fatty acid composition based on farming practices collected through on-farm surveys. Journal of Dairy Science, 96(7), 4197-4211.
De Vries, M. J., Veerkamp, R. F. (2000). Energy balance of dairy cattle in relation to milk production variables and fertility. Journal of dairy science, 83(1), 62-69.
Heck, J. M. L., Van Valenberg, H. J. F., Dijkstra, J., & Van Hooijdonk, A. C. M. (2009). Seasonal variation in the Dutch bovine raw milk composition. Journal of dairy science, 92(10), 4745-4755.
Hu, H., Fang, Z., Mu, T., Wang, Z., Ma, Y., & Ma, Y. (2021). Application of metabolomics in diagnosis of cow mastitis: a review. Frontiers in Veterinary Science, 8, 747519.
Klein M. S., Almstetter, M. F., Schlamberger, G., Nürnberger, N., Dettmer, K., Oefner, P. J., ... & Gronwald, W. (2010). Nuclear magnetic resonance and mass spectrometry-based milk metabolomics in dairy cows during early and late lactation. Journal of dairy science, 93(4), 1539-1550.
Klein M. S., Buttchereit, N., Miemczyk, S. P., Immervoll, A. K., Louis, C., Wiedemann, S., ... & Gronwald, W. (2012). NMR metabolomic analysis of dairy cows reveals milk glycerophosphocholine to phosphocholine ratio as prognostic biomarker for risk of ketosis. Journal of proteome research, 11(2), 1373-1381.
Larsen, M. K., Nielsen, J. H., Butler, G., Leifert, C., Slots, T., Kristiansen, G. H., & Gustafsson, A. H. (2010). Milk quality as affected by feeding regimens in a country with climatic variation. Journal of Dairy Science, 93(7), 2863-2873.
Liu, Z., Logan, A., Cocks, B. G., & Rochfort, S. (2017). Seasonal variation of polar lipid content in bovine milk. Food Chemistry, 237, 865-869.
López Radcenco, A., Adrien, M. D. L., Ruprechter, G., de Torres, E., Meikle, A., & Moyna, G. (2021). Monitoring the transition period in dairy cows through 1H NMR-based untargeted metabolomics. Dairy, 2(3), 356-366.
Manis C., Addis M., Sitzia, M., Scano, P., Garau, V., Cabiddu, A., Caboni P. (2021). Untargeted lipidomics of ovine milk to analyse the influence of different diet regimens. Journal of Dairy Research, 88(3), 261-264.
Mazzei P., Piccolo, A. (2018). NMR-based metabolomics of water-buffalo milk after conventional or biological feeding. Chemical and Biological Technologies in Agriculture, 5, 1-10.
McManaman J. L., & Neville, M. C. (2003). Mammary physiology and milk secretion. Advanced drug delivery reviews, 55(5), 629-641.
O'Callaghan, T. F., O'Donovan, M., Murphy, J. P., Sugrue, K., Tobin, J. T., McNamara, A. E., ... & Brennan, L. (2021). The bovine colostrum and milk metabolome at the onset of lactation as determined by 1H-NMR. International Dairy Journal, 113, 104881.
Pacheco, H. A., Da Silva, S., Sigdel, A., Mak, C. K., Galvão, K. N., Texeira, R. A., ... & Peñagaricano, F. (2018). Gene mapping and gene-set analysis for milk fever incidence in Holstein dairy cattle. Frontiers in genetics, 9, 465.
Palladino, R. A., Buckley, F., Prendiville, R., Murphy, J. J., Callan, J., & Kenny, D. A. (2010). A comparison between Holstein-Friesian and Jersey dairy cows and their F1 hybrid on milk fatty acid composition under grazing conditions. Journal of Dairy Science, 93(5), 2176-2184.
Pu J., Vinitchaikul, P., Gu, Z., Mao, H., & Zhang, F. (2021). The use of metabolomics to reveal differences in functional substances of milk whey of dairy buffaloes raised at different altitudes. Food & Function, 12(12), 5440-5450.
Quinn, E. M., O’Callaghan, T. F., Tobin, J. T., Murphy, J. P., Sugrue, K., Slattery, H., Hickey, R. M. (2020). Changes to the oligosaccharide profile of bovine milk at the onset of lactation. Dairy, 1(3), 2
Rastani, R. R., Grummer, R. R., Bertics, S. J., Gümen, A., Wiltbank, M. C., Mashek, D. G., & Schwab, M. C. (2005). Reducing dry period length to simplify feeding transition cows: Milk production, energy balance, and metabolic profiles. Journal of dairy science, 88(3), 1004-1014.
Riuzzi, G., Tata, A., Massaro, A., Bisutti, V., Lanza, I., Contiero, B., ... & Segato, S. (2021). Authentication of forage-based milk by mid-level data fusion of (+/−) DART-HRMS signatures. International Dairy Journal, 112, 104859.
Rocchetti, G., Gallo, A., Nocetti, M., Lucini, L., & Masoero, F. (2020). Milk metabolomics based on ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry to discriminate different cows feeding regimens. Food Research International, 134, 109279.
Roche, J. R., Turner, L. R., Lee, J. M., Edmeades, D. C., Donaghy, D. J., Macdonald, K. A., ... & Berry, D. P. (2009). Weather, herbage quality and milk production in pastoral systems. 4. Effects on dairy cattle production. Animal Production Science, 49(3), 222-232.
Roesch, M., Doherr, M. G., & Blum, J. W. (2005). Performance of dairy cows on Swiss farms with organic and integrated production. Journal of Dairy Science, 88(7), 2462-2475.
Roy D. Ye, A., Moughan, P. J., & Singh, H. (2020). Composition, structure, and digestive dynamics of milk from different species—A review. Frontiers in Nutrition, 7, 577759.
Santos, J. E. P., Bilby, T. R., Thatcher, W. W., Staples, C. R., & Silvestre, F. T. (2008). Long chain fatty acids of diet as factors influencing reproduction in cattle. Reproduction in Domestic Animals, 43, 23-30.
Scano, P. Murgia, A. Pirisi, F. M.& Caboni, P. (2014). A gas chromatography-mass spectrometry-based metabolomic approach for the characterization of goat milk compared with cow milk. Journal of dairy science, 97(10), 6057-6066.
Scano, P., Carta, P., Ibba, I., Manis, C., & Caboni, P. (2020). An untargeted metabolomic comparison of milk composition from sheep kept under different grazing systems. Dairy, 1(1), 30-41.
Schmitz, R., Schnabel, K., Frahm, J., von Soosten, D., Meyer, U., Hüther, L., Dänicke, S. (2021). Effects of energy supply from roughage and concentrates and the occurrence of subclinical ketosis on blood chemistry and liver health in lactating dairy cows during early lactation. Dairy, 2(1), 25-39.
Schwendel, B. H., Wester, T. J., Morel, P. C. H., Tavendale, M. H., Deadman, C., Shadbolt, N. M., & Otter, D. E. (2015). Invited review: Organic and conventionally produced milk—An evaluation of factors influencing milk composition. Journal of dairy science, 98(2), 721-746.
Shi W. Yuan, X. Cui, K.Li, H., Fu, P., Rehman, S. U. Li, Z. (2021). LC-MS/MS based metabolomics reveal candidate biomarkers and metabolic changes in different buffalo species. Animals, 11(2), 560.
Soyeurt, H., Dardenne, P., Dehareng, F., Bastin, C., & Gengler, N. (2008). Genetic parameters of saturated and monounsaturated fatty acid content and the ratio of saturated to unsaturated fatty acids in bovine milk. Journal of Dairy Science, 91(9), 3611-3626.
Stergiadis, S., Seal, C. J., Leifert, C., Eyre, M. D., Larsen, M. K., Butler, G. (2013). Variation in nutritionally relevant components in retail Jersey and Guernsey whole milk. Food Chemistry, 139(1-4), 540-548.
Stoop, W. M., Bovenhuis, H., Heck, J. M. L., & Van Arendonk, J. A. M. (2009). Effect of lactation stage and energy status on milk fat composition of Holstein-Friesian cows. Journal of dairy science, 92(4), 1469-1478.
Suh, J. H. (2022). Critical review: Metabolomics in dairy science–Evaluation of milk and milk product quality. Food Research International, 154, 110984.
Sundekilde, U. K., Frederiksen, P. D., Clausen, M. R., Larsen, L. B., & Bertram, H. C. (2011). Relationship between the metabolite profile and technological properties of bovine milk from two dairy breeds elucidated by NMR-based metabolomics. Journal of agricultural and food chemistry, 59(13), 7360-7367.
Tenori L., Santucci C., Meoni G., Morrocchi V., Matteucci G., Luchinat C. (2018). NMR metabolomic fingerprinting distinguishes milk from different farms. Food Research International, 113, 131-139.
Tian, H., Zheng N., Wang, W., Cheng, J., Li, S., Zhang, Y., & Wang, J. (2016). Integrated metabolomics study of the milk of heat-stressed lactating dairy cows. Scientific reports, 6(1), 24208.
Tomassini, A., Curone, G., Solè, M., Capuani, G., Sciubba, F., Conta G.,Vigo, D. (2019). NMR-based metabolomics to evaluate the milk composition from Friesian and autochthonous cows of Northern Italy at different lactation times. Natural Product Research, 33(8), 1085-1091.
Tsiafoulis C. G., Papaemmanouil, C., Alivertis, D., Tzamaloukas, O., Miltiadou, D., Balayssac, S., Gerothanassis, I. P. (2019). NMR-based μetabolomics of the lipid fraction of organic and conventional bovine milk. Molecules, 24(6), 1067.
Waiblinger, S., Menke, C., & Coleman, G. (2002). The relationship between attitudes, personal characteristics and behaviour of stockpeople and subsequent behaviour and production of dairy cows. Applied animal behaviour science, 79(3), 195-219.
Wang Y., Nan, X., Zhao, Y., Wang, H., Wang, M., Jiang, L., Xiong, B. (2020). Coupling 16S rDNA sequencing and untargeted mass spectrometry for milk microbial composition and metabolites from dairy cows with clinical and subclinical mastitis. Journal of Agricultural and Food Chemistry, 68(31), 8496-8508.
Wu R., Chen, J. Zhang, L. Wang, X.Yang, Y. Ren, X. (2021). LC/MS-based metabolomics to evaluate the milk composition of human, horse, goat and cow from China. European Food Research and Technology, 247(3), 663-675.
Wu, Z. L., Chen, S. Y., Hu, S., Jia, X., Wang, J., & Lai, S. J. (2020). Metabolomic and proteomic profiles associated with ketosis in dairy cows. Frontiers in Genetics, 11, 551587.
Xi, X., Kwok, L. Y., Wang, Y., Ma, C., Mi, Z., & Zhang, H. (2017). Ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry MSE-based untargeted milk metabolomics in dairy cows with subclinical or clinical mastitis. Journal of dairy science, 100(6), 4884-4896.
Yang Y., Zheng N. Zhao, X. Zhang, Y. Han, R. Yang, J. & Wang, J. (2016). Metabolomic biomarkers identify differences in milk produced by Holstein cows and other minor dairy animals. Journal of proteomics, 136, 174-182.
Yano, M., Shimadzu, H., & Endo, T. (2014). Modelling temperature effects on milk production: a study on Holstein cows at a Japanese farm. SpringerPlus, 3, 1-11.
Ye, A., Cui, J., Carpenter, E., Prosser, C., & Singh, H. (2019). Dynamic in vitro gastric digestion of infant formulae made with goat milk and cow milk: Influence of protein composition. International Dairy Journal, 97, 76-85.
Zhang, G., Ametaj B. N. (2020). Ketosis an old story under a new approach. Dairy, 1(1), 5.
Zhang, G., Dervishi, E., Dunn, S. M., Mandal, R., Liu, P., Han, B., Ametaj, B. N. (2017). Metabotyping reveals distinct metabolic alterations in ketotic cows and identifies early predictive serum biomarkers for the risk of disease. Metabolomics, 13, 1-15.
Zhu, C., Tang, K., Lu, X., Tang, J., & Laghi, L. (2021). An untargeted metabolomics investigation of milk from dairy cows with clinical mastitis by 1H-NMR. Foods, 10(8), 1707.

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