References Arghiriade R.G., Drăgotoiu D., Nicolae I., Marin M., Drăgotoiu T., 2014. Research concerning the influence of using different doses of non-protein nitrogen in cows feed over the milk quantity and quality. Scientific Papers. Series D. Animal Science, Vol. LVII, 82-84, ISSN 2285-5760. Dragotoiu Tomita, Isfan Nicoleta, Stroilescu Loredana, Dragotoiu Dumitru, Marin Monica, Oprea Izabela, 2015. Study on the heritability of milkproduction in a line of Holstein Freise. AgroLife Scientific Journal, 4 (1): 56-63, PRINT ISSN 2285-5718. Knaus W., 2013. Re
References Adamczyk K., Makulska J., Jagusiak W., Węglarz A. (2017). Associations between strain, herd size, age at first calving, culling reason and lifetime performance characteristics in Holstein-Friesian cows. Animal, 11: 327–334. Ahlman T., Berglund B., Rydhmer L., Strandberg E. (2011). Culling reasons in organic and conventional dairy herds and genotype by environment interaction for longevity. J. Dairy Sci., 94: 1568–1575. Bayram B., Yanar M., Akbulut O. (2009). The effect of average daily gain and age at first calving on reproductive and milkproduction
P. (1999). Using markers to estimate apparent dry matter digestibility, faecal output and dry matter intake in dairy ewes fed Italian ryegrass hay or alfalfa hay. Small Ruminant Res., 33: 145-152. Gado H.M., Salem A.Z.M., Robinson P.H., Hassan M. (2009). Inﬂuence of exogenous enzymes on nutrient digestibility, extent of ruminal fermentation as well as milkproduction and composition in dairy cows. Anim. Feed Sci. Technol., 154: 36-46. Ip C., Banni S., Angioni E. (1999). Conjugated linoleic acid-enriched butter fat alters mammary gland morphogenesis and reduces
References 1. Advanced Comfort Technology, Inc. (2012). DCC Waterbeds. Dual Chamber Cow Waterbeds. Retrieved Jun 25, 2013, from http://www.tseio.com/CDs/PDPWYITAXD/files/AdvaIYWR/2012%20DCC%20Waterbeds%20Info%20Guide.pdf 2. Brouček, J., Novák, P., Vokřálová, J., Šoch, M., Kišac, P. & Uhrinčať, M. (2009). Effect of high temperature on milkproduction of cows from free-stall housing with natural ventilation. Slovak Journal Animal Science. 42(4),167-173. 3. Cziszter, L.T., Sossidou, E.N., Szücs, E., Acatincăi, S., Erina, S., Baul, S., Tripon, I. & Gavojdan, D. (2011
The main aim of the considerations was to determine the factors determining the variability of milk production in selected macroregions of the European Union. The regions were selected on the basis of the analysis of the diversity of dairy farms FADN in the regions of the European Union, which was determined by the agglomeration cluster analysis using Ward method. In order to highlight the determinants of production there was factor analysis made. On the basis of the results of factor analysis there were factors that have a decisive impact on milk production in dairy farms from areas with a predominance of intensive production identified, and there was a possibility to find out which macro-regions of the European Union reached a relatively best and worst performance in terms of the distinguished factors.
Dairy animal industry is one of the leading industries of animal production and an important line of many agricultural enterprises activity of the Belgorod region. In essence, its efficiency and competitiveness depend on many certain features of the regional market. The research object is dairy industry in the Belgorod region. The aim of the research was to study the state of the dairy cattle in the Belgorod region and to identify the major reserves of milk production increase on the basis of expected resource balances. The research is connected with the definition of the used branch resources balance. It will allow the definition of the directions of the branch efficiency increase. The practical value of the work is based on an estimation of the branch resources which should help to define the necessary quantity of milk, sufficient for manufacture of dairy products for internal dairy consumption. The subtheme is Increase of Milk Production.
., Steeneveld, W. (2016). Precision dairy farming 2016. Conference Proceedings , ISBN 978-90-8686-283-2. Khanal, A. R., Gillespie, J., MacDonald, J. (2010). Adoption of technology, management practices and production systems in US milkproduction. Journal of Dairy Science , 93 (12), 6012-6022. Kupczyk, A., Gaworski, M. (2006). Analiza wskaźników technicznego wyposażenia gospodarstw mlecznych w Polsce. Inżynieria Rolnicza , 3 , 211-216. Lipiński, M. (2009). Trendy rozwojowe konstrukcji maszyn przeznaczonych dla obór mlecznych. Prace i Materiały Zootechniczne , 67, 37
: 333-335 (in Polish). Hibner A, Zachwieja A, Juszczak J, Ziemiński R (1999): Efficiency of milkproduction in terms of varying lengths of the reproductive cycle of cows in high-yielding herds. Medycyna Weterynaryjna 55: 753-756 (in Polish). Januś E, Borkowska D (2006): The size of the basic fertility indicators of cows with different milk field. Annales Universitatis Mariae Curie-Skłodowska Lublin - Polonia 24: 33-37. Jaśkowski J, Olechnowicz J, Nowak W (2006): Some causes of decreasing fertility in dairy cows. Medycyna Weterynaryjna, 62: 386-389 (in Polish
направление развития машинного доения коров. В.О. Китиков, А.Н. Леонов, Вес. Нац. акад. наук Беларуси. Сер. аграрн. наук. № 4. 91-104. Kitikov, V.O. (2011). Technical facilities of intensive milkproduction . Industrial Inst. of agriculture Engineering, Poznań, 160. Леонов, А.Н. (2014). Оптимизация процесса машинного доения. А.Н. Леонов, В.О. Китиков. Вес. Нац. акад. наук Беларуси. Сер. аграрн. наук. № 1, 93-100. Mein, G.A. (2012). The role of the milking machine in mastitis control. Veterinary Clinics of North America, Food Animal Practice; New York: Elsevier Inc. 28
: Evaluation of daily milkproduction in Tsigai ewes by somatic cell count. Potravinárstvo, 9, 206-210. 17. Whist, A. C., Osteras, O., Solverod, L., 2007: Streptococcus dysgalactiae isolates at calving and lactation performance within the same lactation. J. Dairy Sci., 90, 766-778.