Narushin-Takma models as flexible alternatives for describing economic traits in broiler breeder flocks

Poultry Science

Volumn 90, Issue 2, 2011, Pages 507-515

  Faridi, A ^a   Mottaghitalab, M ^a   Rezaee, F ^a   France, J ^b  

^a UNIVERSITY OF GUILAN   (Iran)

^b UNIVERSITY OF GUELPH   (Canada)

Author keywords

Broiler breeder; Economic trait; Narushin takma model

Indexed keywords

EID: 79251527262     PISSN: 00325791     EISSN: 15253171     Source Type: Journal    
DOI: 10.3382/ps.2010-00825     Document Type: Article

References (30)

1. Adams, C. J., and D. D. Bell. 1980. Predicting poultry egg production. Poult. Sci. 59:937-938.
2. Bauer, F., S. G. Tullett, and H. R. Wilson. 1990. Effects of setting eggs small end up on hatchability and post hatching performance of broilers. Br. Poult. Sci. 31:715-724.
3. Bennett, C. D. 1992. The influence of shell thickness on hatchability in commercial broiler breeder flocks. J. Appl. Poult. Res. 1:61-65.
4. Cason, J. A., and W. M. Britton. 1988. Comparison of compartmental and Adams-Bell models of poultry egg production. Poult. Sci. 67:213-218.
5. Darmani Kuhi, H., E. Kebreab, S. Lopez, and J. France. 2003. An evaluation of different growth functions for describing the profile of live weight with time (age) in meat and egg strains of chicken. Poult. Sci. 82:1536-1543.
6. Darmani Kuhi, H., T. Porter, S. Lopez, E. Kebreab, A. B. Strathe, A. Dumas, J. Dijkstra, and J. France. 2010. A review of mathematical functions for the analysis of growth in poultry. World's Poult. Sci. J. 66:227-239.
7. Gavora, J. S., L. E. Liljedahl, and I. McMillan. 1982. New mathematical model of poultry egg production. Poult. Sci. 68:476-481.
8. Gompertz, B. 1825. On the nature of the function expressive of the law of human mortality and on a new mode of determining the value of life contingencies. Phil. Trans. R. Soc. 182:513-585.
9. Kirk, S., G. C. Emmans, R. McDonald, and D. Arnot. 1980. Factors affecting the hatchability of eggs from broiler breeders. Br. Poult. Sci. 21:37-52.
10. Lemme, A., U. Frackenpohl, A. Petri, and H. Meyer. 2006. Response of male BUT big 6 turkeys to varying amino acid feeding programs.Poult. Sci. 85:652-660.
11. Lokhorst, C. 1996. Mathematical curves for the description of input and output variables of the daily production process in aviary housing systems for laying hens. Poult. Sci. 75:838-848.
12. Mather, C. M., and K. F. Laughlin. 1979. Storage of hatching eggs: The interaction between parental age and early embryonic development. Br. Poult. Sci. 20:595-604.
13. McDaniel, G. R., J. Brake, and R. D. Bushong. 1981a. Factors affecting broiler performance. 1. Relationship of daily feed intake level to reproductive performance of pullets. Poult. Sci. 60:307-312.
14. McDaniel, G. R., J. Brake, and M. K. Echman. 1981b. Factors affecting broiler breeder performance. 4. The inter-relationship of some reproductive traits. Poult. Sci. 60:1972-1977.
15. McDaniel, G. R., D. A. Roland, and M. A. Coleman. 1979. The effect of eggshell quality on hatchability and embryonic mortality. Poult. Sci. 58:l0-13.
16. Minvielle, F., P. Mérat, J. L. Monvoisin, G. Coquerelle, and A. Bordas. 1994. Increase of egg weight with age in normal and dwarf, purebred and crossbred laying hens. Genet. Sel. Evol. 26:453-462.
17. Miyoshi, S., K. Minh Luc, K. Kuchida, and T. Mitsumuto. 1996. Application of non-linear models to egg production curves in chicken. Jpn. Poult. Sci. 33:178-184.
18. Morris, R. H., D. F. Hessels, and R. J. Bishop. 1968. The relationship between hatching egg weight and subsequent performance of broiler chickens. Br. Poult. Sci. 9:305-315.
19. Narushin, V. G., and C. Takma. 2003. Sigmoid model for the evaluation of growth and production curves in laying hens. Biosystems Eng. 84:343-348.
20. Peebles, E. D., and J. Brake. 1985. Relationship of eggshell porosity to stage of embryonic development in broiler breeders. Poult. Sci. 64:2388-2391.
21. Richards, F. J. 1959. A flexible growth functions for empirical use. J. Exp. Bot. 10:290-300.
22. SAS Institute. 1999. SAS/STAT User's Guide. Version 8. SAS Inst. Inc., Cary, NC.
23. Sugimoto, T., A. Nibe, and K. Kumagai. 1986. A method of prediction for egg production using computer stimulator system. Jpn. J. Zootech. Sci. 57:737-746.
24. Thornley, J. H. M., and J. France. 2007. Mathematical Models in Agriculture. 2nd rev. ed. CAB Int., Wallingford, UK.
25. Tullett, S. G., and F. G. Burton. 1982. Factors affecting the weight and water status of the chick at hatch. Br. Poult. Sci. 23:361-369.
26. Van Horne, P. L. M., R. B. M. Huirne, and A. A. Dijkhuizen. 1991. Een model ter bepaling van de optimale aanhoudings duw van leghennen (nl) [A model to determine the optimal space for keeping laying hens]. Verslag no. 78. LEI-DLO Onderzoeks, Den Haag, the Netherlands.
27. Weibull, W. 1951. A statistical distribution function of wide applicability. J. Appl. Mech. 18:293-297.
28. Wilson, J. L., F. E. Robinson, N. A. Robinson, and R. T. Hardin. 1995. Effect of feed allocation on female broiler breeder. Poult. Sci. 4:193-202.
29. Wood, P. D. P. 1967. Algebraic model of the lactation curve in cattle. Nature 216:164-165.
30. Yang, N., C. Wu, and I. McMillan. 1989. New mathematical model of poultry production. Poult. Sci. 86:476-481.