Increasing Of Sustainable Production For High-Producing Dairy Cattle Based On Stochastic Modeling | Revista Publicando
Increasing Of Sustainable Production For High-Producing Dairy Cattle Based On Stochastic Modeling
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Palabras clave

Regularización
excedentes
área
cálculo
impuesto
predial.

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Asiyа Kamilevna, Vladimir Timofeevich, Alena Victorovna, & Denis Igorevich. (2017). Increasing Of Sustainable Production For High-Producing Dairy Cattle Based On Stochastic Modeling. Revista Publicando, 4(13 (3), 971-981. Recuperado a partir de https://revistapublicando.org/revista/index.php/crv/article/view/1020

Resumen

The forage reserve of cattle stability is one of the factors increasing the sustainable dairy cattle breeding. Sustainability entails minimal forage crops yield variability on an annual basis thus reducing the risk of food shortage. This is particularly important for high-producing dairy cattle feeding, which is the most sensitive to changes in feeding conditions or ingredients (Mishchenko,  V.A.  2012). The optimal sown area structure for an agricultural enterprise from the sustainable production point of view can be validated on the basis of stochastic mathematical modeling. For this purpose, the authors have developed an economic-mathematical model of the forage crops sown areas structure optimization, taking into account the sustainability of their production, i.e. minimum forage crops yield deviations from the average yields of these forage crops in several years on the basis of the model developed by Yu.I. Kopyonkin (KopyeonkinYu.I.2008.  , KopyeonkinYu.I.  2009., KopyeonkinYu.I. 2002). Forage crops yield data of an agricultural enterprise for eight years is used in the model; the minimum feed prime cost is taken as an optimum criterion. The science-based diet for high-producing cattle is used in the model. During solving the model, the crops with the lowest yield variability are chosen within each feed groups, i.e. concentrated, coarse and succulent, as the optimum. The model provides for a certain degree of risk to be chosen by the head of the enterprise; At this the higher the risk, the higher the forage crops yield. In the result of the model solving, the enterprise is offered the optimum, in terms of feed production sustainability maximum, as well as production prime cost minimum, forage crops sown areas structure to provide for the uninterrupted feed supply of the cattle.

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Citas

Berger PD and Zeng AZ ,2006. Single versus multiple sourcing in the presence of risks. Journal of the Operational Research Society 57 (3): 250–261.

Bachev H. 2008. Risk governance in Bulgarian dairy farming // Econ and Man in Agri-culture., Vol.53,N 2. – P. 39 –51.

Filatov, A.I. 2016. Modeling of economic processes in AIC/A.I. Filatov, Yu.R. Stra-tonovich, Ye.A. Yermakova. – M.: Russian State Agrarian University-Moscow Agricultural Academy press, 195 p.

KopyeonkinYu.I.2008. Modeling of agricultural risk situations: Study Guide/ Yu.I. Kopyeonkin – M.: RGAU-MSKhA press, 126 p.

KopyeonkinYu.I. 2009. Modeling of the financial output sustainability of the produc-tion activities of the agricultural enterprise/Yu.I. Kopyeonkin. – Rostov-on-Don, P.1. – 70 p.

KopyeonkinYu.I. 2002. Stochastic Models in agriculture: Study Guide/ Yu.I. Kopyeonkin. – M.: RGAU-MSKhA press, 95 p.

Liao Z and Rittscher J ,2007. A multi-objective supplier selection model under stochas-tic demand conditions. International Journal of Production Economics 105 (1): 150–159.

Markovic T.; Jovanovic M. 2011. Influence of Rainfall on Wheat and Corn Yield as a Production–Related Basis Risk // Ratarstvo i povrtarstvo / Inst. za ratarstvo i povrtarstvo. Novi Sad, 48(1). – P. 207–212.

Mishchenko, V.A. 2012. Analysis of metabolic disorders among heavy milking cows/ V.A.Mishchenko, A.V. Mishchenko, V.V. Dumova; E.V. Yermilov; E.V. Yaku-benko, O.Yu. Chernukh // Kuban Veterinary . N 6. – p. 15–17.

Mikhailenko I.M.2015. Lactating cows life cycle management on the basis of probabil-istic-statistical and dynamic models of agricultural biology, Volume 50, 4, – p. 467-475. doi: 10.15389/agrobiology.2015.4.467rus

Ndubisi NO, Jantan M, Hing LC and Ayub MS ,2005. Supplier selection and manage-ment strategies and manufacturing flexibility. Journal of Enterprise Information Management 18 (3): 330–349.

Shpak, A.P. 2005. Mathematic-statistical analysis of dairy cattle breeding sustainability in the forage base/A.P. Shpak, T.L. Tsolban T.L.// Vestnik BGSKhA. N 4. – p. 31-33.

Wilson P.N.; Luginsland T.R.; Armsrong D.V. 1988. Risk perceptions and management responses of Arizona dairy producers // J. Dairy Sc, Т. 71. N 1. – Ñ€. 545–551.

Zgajnar J.; Kavcic S. 2010. Efficiency of Risk Reduction on Slovenian Livestock Farms: Whole–farm Planning Approach // Bulg.J.agr.Sc., Vol.16,N 4. – P. 500–511.

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