The relevance of the subject under study is conditioned by numerous technological problems of providing livestock enterprises of the Republic of Kazakhstan with quality equipment for animal feeding and the associated need to develop and implement dosers for the preparation of compound feed mixture. This study introduces an innovative approach through the development and analysis of a novel dosing auger with an active return channel, which distinguishes itself from existing models by enhancing the precision and efficiency of feed preparation processes. The purpose of this study was to investigate the key parameters of the dosing auger with an active return channel for its further use in agricultural enterprises for preparation of compound feed. The findings of this study emphasise the significance of compliance of current trends in the improvement of prepared feed with the established zootechnical requirements from the standpoint of optimising the technological equipment used in this process. The key aspects of feed dosing sequence when using volumetric and mass dosing methods were considered. The main advantages of auger-in-auger dosers that distinguish them from all other types of dosers were described.
Absametov, M., Sagin, J., Adenova, D., Smolyar, V., and Murtazin, E. (2023). Assessment of the groundwater for household and drinking purposes in central Kazakhstan. Groundwater for Sustainable Development, 21: 100907, https://doi.org/10.1016/j.gsd.2023.100907.
Abutalip, A., Bizhanov, A., Matikhan, N., Karabassova, A., and Orynbayeva, B. (2024). Regional epidemiology of brucellosis infection in modern conditions of animal husbandry technology in Kazakhstan (by the degree of spread and incidence). Scientific Horizons, 27(5): 20–31, https://doi.org/10.48077/scihor5.2024.20.
Bhoj, S., Dhattarwal, P., Harini, K.R., Thakur, R., Bhardwaj, S., Tarafdar, A., Pandey, H.O., Gaur, G.K., and Singh, M. (2024). Mechanization of livestock farms. In: Tarafdar, A., Pandey, A., Gaur, G.K., Singh, M., and Pandey, H.O. (Eds.), Engineering applications in livestock production. Elsevier Science, Amsterdam, pp. 207–242, https://doi.org/10.1016/B978-0-323-98385-3.00007-4.
Burova, Z., Vorobiov, L., Ivanov, S., and Dekusha, O. (2022). Measures and means to improve the energy efficiency of food production. Animal Science and Food Technology, 13(2): 7–15, https://doi.org/10.31548/animal.13(2).2022.7-15.
de Quelen, F., Brossard, L., Wilfart, A., Dourmad, J.Y., and Garcia-Launay, F. (2021). Eco-friendly feed formulation and on-farm feed production as ways to reduce the environmental impacts of pig production without consequences on animal performance. Frontiers in Veterinary Science, 8: 689012, https://doi.org/10.3389/fvets.2021.689012.
Dean, C.J., Deng, Y., Wehri, T.C., Pena-Mosca, F., Ray, T., Crooker, B.A., Godden, S.M., Caixeta, L.S., and Noyes, N.R. (2024). The impact of kit, environment, and sampling contamination on the observed microbiome of bovine milk. mSystems, 9(6): e01158-23, https://doi.org/10.1128/msystems.01158-23.
Denysiuk, O., Svitlyshyn, I., Tsaruk, I., Vikarchuk, O., and Dankevych, A. (2022). Diversification in the enterprises’ activities for sustainable development in the agricultural sector. Rivista di Studi sulla Sostenibilita, 2022(2): 85–102, https://doi.org/10.3280/RISS2022-002007.
Gross, S., Roosen, J., and Hennessy, D.A. (2023). Determinants of farms’ antibiotic consumption – a longitudinal study of pig fattening farms in Germany. Preventive Veterinary Medicine, 215: 105907, https://doi.org/10.1016/j.prevetmed.2023.105907.
Grosu, N. and Caisîn, L. (2020). Growth performance of growing pigs fed diets containing probiotics and prebiotics. Animal Science and Food Technology, 11(1): 17–23, https://doi.org/10.31548/animal2020.01.017.
He, Y., Tiezzi, F., Howard, J., and Maltecca, C. (2021). Predicting body weight in growing pigs from feeding behavior data using machine learning algorithms. Computers and Electronics in Agriculture, 184: 106085, https://doi.org/10.1016/j.compag.2021.106085.
Joseph, S., Peters, I., and Friedrich, H. (2019). Can regional organic agriculture feed the regional community? A case study for Hamburg and North Germany. Ecological Economics, 164: 106342, https://doi.org/10.1016/j.ecolecon.2019.05.022.
Kassenbayev, G., Kerimova, U., Rakhimzhanova, G., and Shalgimbayeva, K. (2024). Animal husbandry market in Kazakhstan: dynamics and prognosis. Scientific Horizons, 27(4): 176–188, https://doi.org/10.48077/scihor4.2024.176.
Kirimbayeva, Z., Abutalip, A., Mussayeva, A., Kuzembekova, G., and Yegorova, N. (2023). Epizootological monitoring of some bacterial infectious diseases of animals on the territory of the Republic of Kazakhstan. Comparative Immunology, Microbiology and Infectious Diseases, 102: 102061, https://doi.org/10.1016/j.cimid.2023.102061.
Kirkimbayeva, Z., Lozowicka, B., Biyashev, K., Sarsembaeva, N., Kuzembekova, G., and Paritova, A. (2015). Leptospirosis in cattle from markets of Almaty province, Kazakhstan. Bulletin of the Veterinary Institute in Pulawy, 59(1): 29–35, https://doi.org/10.1515/bvip-2015-0005.
Konovalov, V., Chupshev, A., Teryushkov, V., and Dontsova, M. (2022). Simulation of pig productivity under feed consumption. Scientific Papers. Series D. Animal Science, 65(1): 150–157, https://animalsciencejournal.usamv.ro/pdf/2022/issue_1/Art20.pdf.
Konuspayeva, G., Baubekova, A., Akhmetsadykova, S., and Faye, B. (2023). Traditional dairy fermented products in Central Asia. International Dairy Journal, 137: 105514, https://doi.org/10.1016/j.idairyj.2022.105514.
Konuspayeva, G., Faye, B., De Pauw, E., and Focant, J.F. (2011). Levels and trends of PCDD/Fs and PCBs in camel milk (Camelus bactrianus and Camelus dromedarius) from Kazakhstan. Chemosphere, 85(3): 351–360, https://doi.org/10.1016/j.chemosphere.2011.06.097.
Ky, I., Parkouda, C., Somda, M.K., Diawara, B., and Dicko, M.H. (2023). Nutritional and economic value of local poultry feeds, formulated by design of experimental (DOE) method. International Journal of Biological and Chemical Sciences, 17(3): 985–994, https://doi.org/10.4314/ijbcs.v17i3.18.
Livestock (2024). https://www.gov.kz/memleket/entities/moa/activities/169?lang=ru.
Lozowicka, B., Kaczynski, P., Paritova, A.E., Kuzembekova, G.B., Abzhalieva, A.B., Sarsembayeva, N.B., and Alihan, K. (2014). Pesticide residues in grain from Kazakhstan and potential health risks associated with exposure to detected pesticides. Food and Chemical Toxicology, 64: 238–248, https://doi.org/10.1016/j.fct.2013.11.038.
Mero, G., Skenderasi, B., Shahini, E., Shahini, S., and Shahini, E. (2023). Main directions of plants integrated protection in the conditions of organic agriculture. Scientific Horizons, 26(3): 101–111, https://doi.org/10.48077/SCIHOR3.2023.101.
Nasirian, H. (2023). Monitoring of hard tick parasitism in domestic ruminants: a scale evidence for policymakers. Veterinary Parasitology: Regional Studies and Reports, 41: 100878, https://doi.org/10.1016/j.vprsr.2023.100878.
Neethirajan, S. (2023). The significance and ethics of digital livestock farming. AgriEngineering, 5(1): 488–505, https://doi.org/10.3390/agriengineering5010032.
Peeler, E.J., Caballero-Celli, R., Davila, C.E.S., Canales Gomez, A.C., Gilbert, W., Gómez-Sánchez, M., Huntington, Phan, V.T., Rushton, J., Schrijver, R.S., and Kennerley, A. (2023). Farm level bio-economic modelling of aquatic animal disease and health interventions. Preventive Veterinary Medicine, 221: 106055, https://doi.org/10.1016/j.prevetmed.2023.106055.
Penkova, O. and Kharenko, A. (2023). Marketing analysis of the functioning environment of agrarian enterprises. Ukrainian Black Sea Region Agrarian Science, 27(2): 28–40, https://doi.org/10.56407/bs.agrarian/2.2023.28.
Riekert, M., Klein, A., Adrion, F., Hoffmann, C., and Gallmann, E. (2020). Automatically detecting pig position and posture by 2D camera imaging and deep learning. Computers and Electronics in Agriculture, 174: 105391, https://doi.org/10.1016/j.compag.2020.105391.
Sarsembayeva, N., Abdigaliyeva, T., Kirkimbayeva, Z., Valiyeva, Z., Urkimbayeva, A., and Biltebay, A. (2018). Study of the degree of heavy and toxic metal pollution of soils and forages of peasant farms in the Almaty region. International Journal of Mechanical Engineering and Technology, 9(10): 753–760.
Shahini, E., Korzhenivska, N., Haibura, Y., Niskhodovska, O., and Balla, I. (2023). Ukrainian agricultural production profitability issues. Scientific Horizons, 26(5): 123–136, https://doi.org/10.48077/scihor5.2023.123.
Singh, H., Neha, K., Kumar, R., Kaushik, P., Singh, A.K., and Singh, G. (2024). Role of infrastructure and operation in disease prevalence in dairy farms: groundwork for disease prevention-based antibiotic stewardship. Preventive Veterinary Medicine, 225: 106158, https://doi.org/10.1016/j.prevetmed.2024.106158.
Tesfaye, W., Elias, E., Warkineh, B., Meron Tekalign, M., and Abebe, G. (2024). Modeling of land use and land cover changes using google earth engine and machine learning approach: implications for landscape management. Environmental Systems Research, 13: 31, https://doi.org/10.1186/s40068-024-00366-3.
Trillo, Y., Lago, A., and Silva-del-Rio, N. (2017). Total mixed ration recipe preparation and feeding times for high-milk-yield cows on California dairies. Professional Animal Scientist, 33(4): 401–408, https://doi.org/10.15232/pas.2017-01607.
Turiello, P., Larriestra, A, Bargo, F., Relling, A., and Weiss, W. (2018). Sources of variation in corn silage and total mixed rations of commercial dairy farms. Professional Animal Scientist, 34(2): 148–155, https://doi.org/10.15232/pas.2017-01704.
Tykhonova, O., Skliar, V., Sherstiuk, M., Butenko, A., Kyrylchuk, K., and Bashtovyi, M. (2021). Analysis of setaria glauca (L.) p. beauv. population’s vital parameters in grain agrophytocenoses. Environmental Research, Engineering and Management, 77(1): 36–46, https://doi.org/10.5755/j01.erem.77.1.25489.