Applying the AHP Model in Estimation of Holstein Dairy Cows Sperms Using In Farms: an Different Research in Animal Science

saeed alitaneh, mona golsheykhi

Abstract


This paper focused on the priorities (weights) before the breeders in terms of selecting elite sperms of male Holstein cow through analytical hierarchy process (AHP). The goal is to prioritize the factors affecting the use of sperms of male Holstein cow by the dairy farmers of Tehran province, so 333 Holstein industrial dairy farms (herds) from various climatic and ecologic conditions were chosen for the study. These farms used various Holstein sperms. Data was collected by two types of pairwise comparison questionnaires. Validity of the data was tested by animal breeding experts and reliability of results was verified by means of Cronbach’s alpha stat. In the first phase, the contents of the first questionnaire were turned by 6-criteria breeders into the highest levels of priority in comparison to other criteria contained in catalogues of male Holstein cow sperm. After analysis, the breeding value of milk production, sperm cost, reliability of production traits, commercial life of daughters, daughters calving ease and breeding value of all type traits were taken as breeder criteria. In the second phase, 333 questionnaires of pairwise comparison and the 6 expert criteria of were distributed among 333 industrial Holstein farms of Tehran province. Once the questionnaires, software such as SAS 9.1 and Expert Choice 11.1 were used to analyze the data, calculate means and final weights. Eventually, the US Holstein sperm was used as the elite sperm with the highest rates of value and use among the dairy farms participating in the study.


Keywords


AHP, Herd management, Holstein sperms, Expert Choice software, Questionnaire.

Full Text:

PDF

References


Badri, M.A. 2001. A combined AHP-GP model for quality control systems. Int. J. Pro. Eco. 72: 27–40.

Belton, V. 1990. Multiple criteria decision analysis - practically the only way to choose. In: Hendry LC, Eglese RW, editors. Opera. Res. Tut. Papers. 53-102.

Bourdon, R.M. 1999. Understanding Animal Breeding, 2nd edition, Prentice Hall, New Jersey, USA.

Expert Choice Inc. 1986. Expert Choice version 11.1 software and manual. 4922 Elsworth Ave., Pittsburgh. USA. http://www.expertchoice.com/Last accessed on 2016.

French, S. 1988. Decision theory: an introduction to the mathematics of rationality. Chichester, Ellis Horwood.

Nunnally, J.C., and I.H. Bernstein. 1994. Psychometric theory, 3rd edition. McGraw Hill. New York. USA.

Ricci, A., K. Capello, V. Cibin, G. Pozza, N. Ferre, F. Barrucci, R. Menin, R.Farina, and S. Marangon. 2013. Raw milk-associated foodborne infections: A scoring system for the risk-based categorization of raw dairy farms. Res. Vet. Sci. 95: 69–75.

Saaty, T.L. 1977. A scaling method for priorities in hierarchical structures. J. Math. Psy. 15(3): 234-281.

Saaty, T.L. 1980. The analytic hierarchy process. McGraw-Hill. New York.USA.

Saaty, T.L. 1985. Decision making for leaders. Life Time Leaning Publications. Belmont, California. USA.

Saaty, T.L. 1990. How to make a decision: the analytic hierarchy process. Euro. J. Opera. Res. 48: 9-26.

Saaty, T.L. and K.P. Kearns. 1991. Analytical planning: the organization of systems. The analytic hierarchy process series. RWS Publications. Pittsburgh. USA.

Saaty, T.L. and L.G. Vargas. 2001. Models, methods, concepts and applications of the analytic hierarchy process. Kluwer Academic Publishers. Dordrecht.

SAS Institute. 2002. SAS/STAT User's guide, Version 9.1, SAS Institute Inc. Cary. NC. USA.

Solkner, J., and W. Fuchs. 1987. A comparison of different measures of persistency with special respect to variation of test-day milk yields. Liv. Pro. Sci. 26: 305-319.

Von Winterfeldt, D., and W. Edwards. 1986. Decision analysis and behavioral research. Cambridge, Cambridge University Press.

Watson, S.R. and D.M. Buede. 1987. Decision synthesis: the principles and practice of decision analysis. Cambridge, Cambridge University Press.

Zeleny, M. 1990. Multiple criteria decision making. McGraw Hill, New York, USA.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2018 Global Journal of Animal Scientific Research

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.