Origin and generation influence on the fractal dimension values of the milk production in dairy cows

Keywords: cattle; milk productivity; lactation; daily milk yield; milk fat percentage; protein content

Abstract

The main aim of our research was to determine the effect of origin and generation on the fractal dimension values of the milk production peculiarities in dairy cows. This study analyses data from cattle milk production at the LLC “Promin”, Mykolaiv region. We formed four experimental groups of first-calf Holstein heifers of different origins and generations. The animals of the first group were imported from Germany; the second group was their offspring; the third group was Ukrainian breed cows, and the fourth group was their offspring. We assessed 305-day milk yield, total milk yield, milk fat percentage, milk fat yield, milk protein percentage, milk protein yield and lactation length for each cow. The information fractal dimension (FD1) values were calculated for each trait within each group. The fractal dimension values in all groups for 305-days milk yield, milk fat and milk protein yields were close to 1 (excluding the fourth group); thus, it can be argued that the random mechanism of their regulation and, accordingly, the lack of fractal properties. The estimated FD1 values for total milk yield were slightly lower; they fluctuated within very narrow limits in all groups and did not depend on either origin or generation. In addition, the calculated FD1 values for total milk yield were significantly lower than the corresponding estimates for 305-day milk yield in all cow groups. The use of fractal analysis revealed significant differences, which are based on different regulation mechanisms of the milk fat percentage in cows of the daughter generations. On the other hand, the fractal dimension values FD1 for milk protein percentage did not differ significantly between mothers and daughters, regardless of their origin. It was also found that the control for lactation length in the daughter generation was lower than the maternal one. Thus, using fractal analysis to study the regulatory mechanisms of milk production traits in dairy cows allowed us to determine the influence of the origin and generation (mother or daughter).

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References

Adamczyk, K., Jagusiak, W., & Makulska, J. (2018). Analysis of lifetime performance and culling reasons in Black-and-White Holstein-Friesian cows compared with crossbreds. Annals of Animal Science, 18(4), 1061-1079.
Alados, C. L., Escós, J., & Emlen, J. M. (1995). Fluctuating asymmetry and fractal dimension of the sagittal suture as indicators of inbreeding depression in dama and dorcas gazelles. Canadian Journal of Zoology, 73(10), 1967-1974.
Alados, C. L., Escos, J. M., & Emlen, J. M. (1996). Fractal structure of sequential behaviour patterns: an indicator of stress. Animal Behaviour, 51(2), 437-443.
Asher, L., Collins, L. M., Ortiz-Pelaez, A., Drewe, J. A., Nicol, C. J., & Pfeiffer, D. U. (2009). Recent advances in the analysis of behavioural organisation and interpretation as indicators of animal welfare. Journal of the Royal Society Interface, 6(41), 1103-1119.
Bolacali, M., & Öztürk, Y. (2018). Effect of non-genetic factors on milk yields traits in Simmental cows raised subtropical climate condition. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 70(1), 297-305.
Brouček, J., Kišac, P., Hanus, A., Uhrinčať, M., & Foltys, V. (2011). Effects of rearing, sire and calving season on growth and milk efficiency in dairy cows. Czech Journal of Animal Science, 49(8), 329–339.
Bujko, J., Candrák, J., Strapák, P., Žitný, J., & Hrnčár, C. (2018). Evaluation relation between traits of milk production and calving interval in breeding herds of Slovak Simmental dairy cows. Albanian Journal of Agricultural Sciences, 17(1), 31-36.
Choudhary, G., Pannu, U., Gahlot, G., Kumar, A., & Poonia, N. (2019). Influence of genetic and non-genetic factors on production traits of tharparkar cattle at organized farm. International Journal of Livestock Research, 9(3), 148-156.
Cole, B. J. (1995). Fractal time in animal behaviour: the movement activity of Drosophila. Animal Behaviour, 50(5), 1317-1324.
Collier, R. J., Xiao, Y., & Bauman, D. E. (2017). Regulation of factors affecting milk yield / In: Nutrients in Dairy and their Implications on Health and Disease. Academic Press, 3-17.
Eastham, N. T., Coates, A., Cripps, P., Richardson, H., Smith, R., & Oikonomou, G. (2018). Associations between age at first calving and subsequent lactation performance in UK Holstein and Holstein-Friesian dairy cows. PLoS One, 13(6), e0197764.
Efron, B., & Tibshirani, R. J. (1994). An introduction to the bootstrap. CRC Press. 456 p.
ElBoshra, M. E., Eisa Ali, T., & Hassabo, A. A. (2016). Genetic and environmental factors affecting 305-day mature equivalent milk yield of Holstein Friesian cows in the United Arab Emirates. Journal of Agricultural and Marine Sciences, 21, 1-6.
El-Henawy, I., El Bakry, H. M., & El Hadad, H. M. (2016). Cattle identification using segmentation-based fractal texture analysis and artificial neural networks. International Journal of Electronics and Information Engineering, 4(2), 82-93.
Escós, J. M., Alados, C. L., & Emlen, J. M. (1995). Fractal structures and fractal functions as disease indicators. Oikos, 74(2), 310-314.
Garcia, F., Carrère, P., Soussana, J. F., & Baumont, R. (2005). Characterisation by fractal analysis of foraging paths of ewes grazing heterogeneous swards. Applied Animal Behaviour Science, 93(1-2), 19-37.
Gorgulu, O. (2011). Path analysis on effective factors affecting 305-D milk yield in simmental cattle. International Journal of Agriculture and Biology, 13(3), 381-385.
Hahn, G. L., & Nienaber, J. A. (1993). Characterising stress in feeder cattle. Beef Research Program Progress Report, 4(1), 146-148.
Hammer, Ø., Harper, D. A., & Ryan, P. D. (2001). PAST: Paleontological Statistics Software Package for Education and Data Analysis. Palaeontologia Electronica, 4, 1-9.
Hammoud, M. H., El-Zarkouny, S. Z., & Oudah, E. Z. M. (2010). Effect of sire, age at first calving, season and year of calving and parity on reproductive performance of Friesian cows under semiarid conditions in Egypt. Archiva Zootechnica, 13(1), 60-82
Horan, B., Dillon, P., Berry, D. P., O’Connor, P., & Rath, M. (2005). The effect of strain of Holstein-Friesian, feeding system and parity on lactation curves characteristics of spring-calving dairy cows. Livestock Production Science, 95(3), 231-241.
Kembro, J. M., Perillo, M. A., Pury, P. A., Satterlee, D. G., & Marin, R. H. (2009). Fractal analysis of the ambulation pattern of Japanese quail. British Poultry Science, 50(2), 161-170.
Korthals, R. L., Chen, Y. R., Hahn, G. L., & Eigenberg, R. A. (1997). Calculation of fractal dimension from cattle thermoregulatory responses. Journal of Thermal Biology, 22(4-5), 285-293.
Macaulay, A. S., Hahn, G. L., Clark, D. H., & Sisson, D. V. (1995). Comparison of calf housing types and tympanic temperature rhythms in Holstein calves. Journal of Dairy Science, 78(4), 856-862.
Mandelbrot, B. B. (1982). The fractal geometry of nature. San Francisco, W. H. Freeman and Co. 460 p.
Mårell, A., Ball, J. P., & Hofgaard, A. (2002). Foraging and movement paths of female reindeer: insights from fractal analysis, correlated random walks, and Lévy flights. Canadian Journal of Zoology, 80(5), 854-865.
Marıa, G. A., Escós, J., & Alados, C. L. (2004). Complexity of behavioural sequences and their relation to stress conditions in chickens (Gallus gallus domesticus): a non-invasive technique to evaluate animal welfare. Applied Animal Behaviour Science, 86(1-2), 93-104.
Marumo, J. L., Lusseau, D., Speakman, J. R., Mackie, M., & Hambly, C. (2022). Influence of environmental factors and parity on milk yield dynamics in barn-housed dairy cattle. Journal of Dairy Science, 105(2), 1225-1241.
Němečková, D., Stádník, L., & Čítek, J. (2015). Associations between milk production level, calving interval length, lactation curve parameters and economic results in Holstein cows. Mljekarstvo: časopis za unaprjeđenje proizvodnje i prerade mlijeka, 65(4), 243-250.
Niozas, G., Tsousis, G., Malesios, C., Steinhöfel, I., Boscos, C., Bollwein, H., & Kaske, M. (2019). Extended lactation in high-yielding dairy cows. II. Effects on milk production, udder health, and body measurements. Journal of Dairy Science, 102(1), 811-823.
Rutherford, K. M., Haskell, M. J., Glasbey, C., & Lawrence, A. B. (2006). The responses of growing pigs to a chronic-intermittent stress treatment. Physiology & Behavior, 89(5), 670-680.
Rutherford, K. M., Haskell, M. J., Glasbey, C., Jones, R. B., & Lawrence, A. B. (2003). Detrended fluctuation analysis of behavioural responses to mild acute stressors in domestic hens. Applied Animal Behaviour Science, 83(2), 125-139.
Sehested, J., Gaillard, C., Lehmann, J. O., Maciel, G. M., Vestergaard, M., Weisbjerg, M. R., Mogensen, L., Larsen, L. B., Poulsen, N. A., & Kristensen, T. (2019). Extended lactation in dairy cattle. Animal, 13(S1), s65-s74.
Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3), 379-423.
Sokal, R. R., & Rohlf, F. J. (1995). Biometry: The Principles and Practice of Statistics in Biological Research. New York, W.H. Freeman and Co. 880 p.
Tada, S., Takahashi, M., Ueda, K., Nakatsuji, H., & Kondo, S. (2013). Fractal analysis for quantification of grazing paths of cows on homogeneous pastures. Behavioural Processes, 92, 107-112.
Thakkar, N. K., Chaudhary, A. P., Chaudhari, A. B., Gami, Y. M., & Panchasara, H. H. (2021). Effects of genetic and non genetic factors on production performance of primiparous Kankrej cattle. Indian Journal of Dairy Science, 74(5), 434-438.
West, B. J. (1990). Physiology in fractal dimensions: Error tolerance. Annals of Biomedical Engineering 18(2), 135-149.

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Published
2022-02-21
How to Cite
Kramarenko, A. S., Pidpala, T. V., Lugovyi, S. I., & Kramarenko, S. S. (2022). Origin and generation influence on the fractal dimension values of the milk production in dairy cows. Theoretical and Applied Veterinary Medicine, 10(1), 19-26. https://doi.org/10.32819/2022.10003