Economic analysis of dairy cattle production system with emphasis on risk in livestock of Cities of Ardabil province

Document Type : (original research)

Authors

1 Department of Animal Science, Faculty of Agriculture and Natural Resources, Mohaghegh Ardabili University, Ardabil, Iran

2 Department of Animal Science, Moghan Faculty of Agriculture and Natural Resources, Mohaghegh Ardabili University, Ardabil, Iran

10.22034/aej.2022.336378.2785

Abstract

The most appropriate way to maximize profitability through breeding is to use economic coefficients of traits along with genetic evaluation. The purpose of this study was to estimate the economic coefficients of production, reproductive, performance and risk traits in farms in Ardabil, Khalkhal, Nir and Germi counties based on the collected data and market conditions in 1400, using a bio-economic model. The economic coefficient of the traits was calculated using MATLAB software with a unit change in the mean of the desired trait if other traits remain constant in their mean. The studied traits included milk production, milk fat, calving interval, production lifespan, daily weight gain before and after weaning, birth weight, adult body weight, survival rate before and after weaning. The economic coefficients for Ardabil city are 15501/17, 556278, -78829/41, 18325/85, 607695/31, 1984509/5, 47849/36, -34521/69, 676066/77, 3174287/11 Rials, respectively. Khalkhal city 12154/83, 555009/65, -156539/61, 17409/81, 1058103/07, 3480949/26, 83976/43, -43347/37, 3814230/34, 6371210/65 Rials, for Nir city 15281/13, 490212/7,-128232/97, 64858/19, 898225/59,2932385/16,70725/61,-49044/99,2503282/56 5036932/8 Rials and for Germi city 27118/6, 448803/94, -130308/28, 15699/58,908827/54,2990291/35,72192/17,-54554/8,3024142/99,5006904/32 Rials per cow per year were calculated in all production systems The highest income was related to milk sales and the lowest was related to elimination heifers. It was also found that the cost of nutrition has the largest share of the total variable costs. Among non-nutritional costs, manpower costs were the most important factor in increasing costs. The results of the sensitivity test showed that economic coefficients are the most sensitive to changes in feed and live weight prices and the least sensitive to fluctuations in milk and fat prices. The results also showed that livestock diseases and lack of vaccines and drugs are the most important risk factors in a livestock unit and problems with milk transportation and changes in livestock insurance conditions are the least important risk factors, so the most important risks In livestock, there are risks related to production and manpower. Also, the most important risks threatening natural factors include heat and cold stress and drought, respectively. The economic review of the production system causes a better identification of the position of the units and increases the level of awareness of the policy makers and planners of the livestock sector as well as the investors of these types of activities in order to make fundamental decisions or solve the existing problems.

Keywords

Main Subjects

References

  1. Amer, R., Mpofu, N. and Bondoc, O., 1998. Definition of breeding objectiv for sustainable production system. Proc. 6th World congr. Appl. Livest. Prod. 28: 97-103.
  2. Athari Mortazavi, B. and Shadparvar, A., 2014. The effect of management, economic and biological factors on the economic value of different traits in traditional and industrial methods of dairy cattle breeding. Journal of Ruminant Research. 2(2): 157-172. (In Persian)
  3. Athari Mortazavi, B. and Shadparvar, A., 2015. Economic value of production and performance traits in crossbred and Holstein cows of Gilan province. Journal of Animal Production Research. 4(3): 79-91. (In Persian)
  4. Dekkers, J.C.M., Ten Hag, J.H. and Weersink, A., 1998. Economic aspects of persistency of lactation in dairycattle. Livestock prodution Science. 53: 237-252.
  5. Dekkers, J.C.M., 2003. Design and Economics of Animal Breeding Startegies. Notes for courses. Lowa State University.
  6. Egger-Danner, C., 2015. Zuchterische Verbesserung der Klauenge sundheit internationale Entwicklungen & aktueller stand in osterreich. Seminar des Ausschusses for Genetik der Zentralen Arbeitsgemeinschaft osterreichischer Rinderzuchter (ZAR), Salzburg, Austria. 33-44. https://zar.at/Downloads/ZAR.seminar.htm.
  7. Gadimi, M., 2017. Analysis of various factors affecting the economic values of production and performance traits in traditional and industrial units of dairy cattle breeding with different levels of milk production in Ardabil province. MSc thesis animal breeding. Mohaghegh Ardabili University. (In Persian)
  8. Goddard, M.E., 1998. Consensus and debate in the definition of breeding objectives. Journal of Dairy Science. 81: 6-18.
  9. Harris, D.L., 1970. Berding for efficiency in livestock product: defining the economic objectives.J. Anim. Sci. 30: 860-865.
  10. Hazel, L.N., 1943. The genetic for constructing selection index, Genetic. 28: 476- 490.
  11. Jalal zadeh, M., Ghasemi, J., Gooderzi, S., Farjadania, K. and Qaroun, Z., 2018. Analysis of risk management tools in industrial dairy farms in Urmia and Khoi cities. Journal of Economic Research and Agricultural Development of Iran. 2-41(2): 171-180. (In Persian)
  12. Khani, B., Ghazi Khani Shad, A. and Shadparvar, A., 2013. Estimation of economic value for productive traits and longevity of Holstein cattle herds in Hamadan province. Second National Conference on Modern Topics in Agriculture. Saveh, Iran. (In Persian)
  13. Krupova, Z., Motycka, J., Krupa, E. and Michalickova, M., 2016. Economic importance of milk trait in Czech Holstein cattle under various milk payment systems. 24th Symp. Animal science days, Ptuj, Slovenia, step. 21st-23rd, 2016. Or Acta argiculturae Slovenica. Supplement 5: 154- 159, Ljubljana.
  14. Kahi, A.K. and Nitter, G., 2004. Developing breeding schemes for pasture based dairy production systems in Kenya. Derivation of economic values using profit functions. Journal of Livestock Production Science. 88: 161- 177.
  15. Lopez Villalobos, N.D. and Garrick, D.J., 2005. Metihodology for the design and enhancement if genetic improvement of genetic improvement programs illustrated in the context of the New Zealand dairy industry. Agrociencia IX. 553-568.
  16. Lopez, F.B., Borjas, A.R., Da Silva, M.C., Faco, O., Lobo, R.N., Fiorvanti, M.C.S. and McManus, C., 2012. Breeding goals and selection criteria for intensive and semi intensive dairy goat system in Brazil. Small Ruminant Research. 106: 110-117.
  17. Mirdamadi, M. and Shokri, Sh., 2012. Explaining the components of risk management in livestock farms (case study of Karaj city). Agricultural Extension and Education Research Journal. 5(4). (In Persian)
  18. Mohdnor, N., Stenerld, W. and Hogeveen, H., 2013. The average culling rate of Dutch dariy herds over the years 2007 to 2010 and its association with herd reproduction, performance and health. Journal of Dairy Reserch. 1-8.
  19. Prata, M.A., EI Faro, L., Verneque, R.S., Vercesi Fillho, A.E., Peixoto, M.G.C.D., Moreira, H.L. and Cardoso, V.L., 2015. Genetic parameters for milk production traits and breeding goals for Gir dairy cattle in Brazil. Genetics and Molecular Research. 14(4): 12585-12594.
  20. Rewa, T.O., Indetie, D., Ojango, J. and Kahi, A.K., 2006. Economic values for production and functional traits and assessment of their influence on genetic improvement in the boran cattle in Kenya. J Anim Breed Genet. 123(1): 23-36.
  21. Rogers, P.L., Gaskins, C.T., Johanson, K.A. and MacNeil, M.D., 2004. Evaluating longevity of composite beef females using survival analysis techniques. Journal of Animal science. 82: 860-886.
  22. Sadeghi Sefidmezaki, A., Moradi Shahrbabek, M., Nejati, A. Mirayi Ashtiani, R., Arimer, P., Bern, T.J. and Taghi Nejad, M.,  2013. Economic aspects of adult body weight and first calving age in Holstein cows of Iran. Iranian j of animal science. 43(2): 269-278. (In Persian)
  23. Sahragard Ahmadi, S., 2010. Estimation of economic coefficients of milk production and fat life and livestock of cattle and Holstein cattle in lorestan province. MSc thesis animal breeding. University of Gilan, Iran.
  24. Seyed Sharifi, R., Nurafkan, N., Hedayat Evrigh, N. and Seifdavati, J., 2017. Estimation of Economic value for productive and reproductive traits of Moghan Agro Inndustrial Holshtein cows by using simulation and bio economic M model. Iranian Journal of Animal Science Research. 9(2): 240-254 (In persian).
  25. Sim, G., 1998. Genetic improvement of cattle and sheep. Wallingford, UK: CABI Publishing.
  26. Tabatabai, F., Rad medicine, G.R. and Abhali, S., 2018. Investigating effective factors in the acceptance of risk management by industrial livestock farmers in Tehran province. Agricultural Extension and Education Research Journal. 3(2): 51-63. (In Persian)
  27. Vatankhah, M. and Farji Nafchi, M., 2015. Determining the economic value of important traits in Holstein cows of Chaharmahal and Bakhtiari provinces with different levels of milk production. Animal Sciences (Research and Construction). 110: 17-30. (In Persian)
Journal of Animal Environment
Volume 15, Issue 1
June 2023
Pages 59-68

Files

Share

How to cite

Statistics