Determing the effectiveness and factors Affecting optimal Herd Life In Dairy cows by dynamic programming and DEA model

Authors

1 Animal science university mohaghegh ardabili

2 animal science mohaghegh ardabili

3 animal scince-university of mohaghegh ardabili

4 The university of mohaghegh ardabili

5 the university of mohaghegh ardabili

Abstract

Background and objectives: One surefire way to increase income and profit is to pay attention to the viability of the dairy cow and increase the efficiency of each livestock unit. The purpose of this study was to determine the efficiency and effective factors on optimal herd life in dairy cows with dynamic data envelopment analysis and planning model in Ardabil city.
Materials and methods: The data of this study were related to 1397 time series of dairy farms in Ardebil city which were analyzed by system analysis method, economic system of dairy herd and income and cost components, and each of these components was subdivided into other sections. Then, using mathematical models, we simulated a bioeconomic model and optimized it with the help of the Matlab software Compecon toolkit. The dairy cattle were described with state variables including lactation period, milk production capacity and different gestation states. In order to design data envelopment analysis model, several inputs and outputs in the production process were studied. The main variables used in the study included, herd size by apex, feed and concentrate in kg, manpower by day, health by Frequency of milk, milk production and livestock manure production per kg and total income were determined. And Deap 2.1 software based on minimizing the amount of input per unit of product was used for performance calculations.
Results: Optimal herd life (from first calving to elimination) was 4.55 years under optimum conditions.
The results also showed that the technical efficiency with constant return to scale is 0.719 and with variable return to scale equal to 0.899 and scale efficiency was calculated to be 0.888. The overall technical efficiency value was 0.99, allocative efficiency 0.583 and economic efficiency 0.579.
Conclusion: The effect of heifer price, milk price and discount rate on optimum lifespan showed that with increasing heifer price, milk price decrease and discount rate increase elimination percentage decreased and optimum lifespan increased. The results of data envelopment analysis showed that in terms of variability of efficiency relative to scale, increase in herd size and health costs and decrease in forage, concentrate and labor costs, respectively, 14.18, 0.83 , 2.8% and 5% result in inefficient herds being maintained by maintaining levels. Therefore, in order to make an inefficient unit effective, changes must be made to the inputs and outputs of that unit. By specifying the differences between the inefficient and inefficient units, appropriate strategies are designed to eliminate the gap between them.

Keywords


  1. Abdul Mohammadi, A.S., Moradi Shahrabak, M., Ashtiani, S.R. and Syadnejad, M. 2004. Estimation of Genetic Parameters of Productive Life Span and its Relation to Production Traits in Holstein Cows. Proceedings of the First Congress of Animal Science, Karaj, Iran.
  2. Akbari, N.A., Zahedi Keyvan, M. and Monfarediyan Sarvestani, M. 2008. Performance efficiency estimation of livestock industry in Iran. Iranin Journal of Economic Researches. 8:49-61. (In Persian)
  3. Bajrami E., Wailes, E.J., Dixon, B.L., Musliu, A.  and Morat,D. 2017. Factors affecting the technical efficiency of dairy farms in Kosovo. Journal of Central European Agriculture. 18:823-840.
  4. Bakhshoodeh, M., Seyed salehi, S.A. and Mohebi fani, M. 2012. Optimal Replacement strategy for Dairy Cows with Diverse Milk Production Capacity in Fars Province. Journal of Agricultural Economics and Development. 26:176-182. (In Persian)
  5. Cardoso, V.L., Nogueria, J.R. and VanArendonk, J. 1999. Optimal Replacement and Insemination Policies for Holstein Cattle in the Southeastern Region of Brazil The Effect of Selling Animals for Production. Journal of Dairy Science. 82:1449-1458.
  6. Charnes, A., Cooper W.W., Lewin, A.Y. and Seiford, L.M. 1994. Data envelopment analysis: theory, methodology and application. Boston. Kluwer Academic Publishers.
  7. Dadar, M., Asadian, A. and Aghashahi, A. 2007. Investigation of Factors Affecting Shelf Life in Industrial Dairies in Isfahan, Proceedings of the Second Congress of Animal Science. Iran.
  8. De Vries, A. 2004. Economics of delayed replacement when cow performance is seasonal. Journal of Dairy Science. 87:2947-2958.
  9. Emami Meybodi, A.S. 2005. Principles of Measuring Productivity and Efficiency. Institute for Business Studies and Research. Tehran. Second Edition. 272 Pp.
  10. Farrell, M.J. 1957. The measurement of productive efficiency. Journal of the Royal Statistical Society. 120: 253-290.
  11. Congleton,W.R. and King, L.W.1984. Profitability of dairy cow herd life. Journal of Dairy Science. 67:661-678.
  12. Ghasiri, K., Mehrno, H. and Jafarian Moghadam, A. 2008. Introduction to fuzzy data envelopment analysis. (2th). Qazvin: Qazvin Islamic Azad University. Iran. (In Persian)
  13. Gül, MH., YÉ©lmaz, O., Parlakay, S., Koyun, M.E., Bilgili, Y., Vurarak, H. and Kilicalp, N. .2018. Technical Efficiency of Dairy Cattle Farms in East Mediterranean Region of Turkey. Scientific Papers Series Management Economic Engineering in Agriculture and Rural Development. 18:213-226.
  14. Hagigat nejad, M.R., Yazdani, A.R. and Rafiei, H. 2013. Comparison of efficiency and productivity index in dairy cattle industrial farms: Case study of Isfahan city. Journal of ruminant Research. 1: 177-194. .(In Persian).
  15. Jafar Oghli, M., Shadparvar, A.A., Gavi Hosseinzadeh, N. and Kalashmi, M.K. 2018. Evaluation of technical efficiency of sheep breeders in Ardebil province: application of data envelopment analysis method. livestock production research. 1:31-40. (In Persian).
  16. Kalantari, A.S.Y., Mehrabani-Yeganeh, H., Moradi, , Sanders, A.H. and  De Vries, A.2010. Determining the optimum replacement policy for Holstein dairy herds in Iran. Journal of Dairy Science. 93:2262-2270.
  17. Kelly, L., Shalloo, U., Geary, A., Kinsella. and Wallace, M. 2012. Application of data envelopment analysis to measure technical efficiency on a sample of Irish dairy farms. Irish Journal of Agricultural and Food Research. 51:63-77.
  18. Mehregan, 2008. Quantitative Models in Organizational Performance Evaluation (Data Envelopment Analysis), Tehran University Press. Second Edition. 173 Pp. (In Persian).
  19. Molaie, M. and Sani,F. 2015. Estimation of Technical and Environmental Efficiency of Milk Dairies in Sarab City Using Data Envelopment Analysis Approach. Journal of Animal Sciences Researches. 25:141-155.(In Persian)
  20. SAS Institute.2003.Sas/Stat User's Quide, Release 9.1 Edition.Sas Institute Inc., Cary,NC.
  21. Stewart, H.M., Burnside, E.B.,Wilton,
    W. and Pfeiffer, W.C. 1977. A dynamic programming approach to culling decisions incommercial dairy herds. Journal of Dairy Science. 60:602-617.
  22. Van Arendonk, J.A.M. 1985. A model to estimate the performance,revenus and costs of dairy cows under different production and price situations. Agricultural Systems. 16:157-189.