Araştırma Makalesi
PDF EndNote BibTex RIS Kaynak Göster

Comparison of different mathematical functions for fitting growth curves of ascitic and healthy broiler chickens

Yıl 2022, Cilt 69, Sayı 3, 289 - 295, 30.06.2022
https://doi.org/10.33988/auvfd.842816

Öz

Ascites syndrome (AS) causes major economic losses in commercial meat-type chickens. The objectives of the current study were to select the best non-linear growth curve functions (GCFs) of the ascitic and healthy chickens, and to investigate the association of ascites incidence with the growth pattern. A total of 5584 body weight (BW) records belonging to 823 chickens (381 male and 442 female) from a paternal pure Arian broiler line were used. The birds were categorized into; healthy male and female, ascitic male and female. Five GCFs including Logistic, Gompertz, Lopez, Richards, and Von baretanalffy were fitted to the BW records of all groups, separately. After the estimation of growth curve parameters for all the chicks individually, the effect of sex and health status on the growth curve parameters were assessed. The results revealed that the Richards function is the best for all the groups. Comparison of the growth curves showed that the ascitic chickens reach the inflection point of the curve earlier than their healthy counterparts (P<0.05). The average growth rate of the healthy birds in the rearing period was significantly higher than that of the ascitic birds (P<0.05), thereby suggesting that there is no direct relationship between the rapid growth rate and the incidence of ascites. Therefore, genetic improvement of the used population for both rapid growth rate and reduced ascites incidence may be possible and the utilization of growth curve parameters in the selection index might be beneficial.

Kaynakça

  • Aggrey S (2002): Comparison of three nonlinear and spline regression models for describing chicken growth curves. Poult Sci, 81, 1782-1788.
  • Aggrey S (2009): Logistic nonlinear mixed effects model for estimating growth parameters. Poult Sci, 88, 276-280.
  • Arango J, Van Vleck LD (2002): Size of beef cows: early ideas, new developments. Faculty Papers and Publications in Animal Science, 237.
  • Baghbanzadeh A, Decuypere E (2008): Ascites syndrome in broilers: physiological and nutritional perspectives. Avian Pathol, 37, 117-126.
  • Balog J, Anthony N, Cooper M, et al (2000): Ascites syndrome and related pathologies in feed restricted broilers raised in a hypobaric chamber. Poult Sci, 79, 318-323.
  • Currie RJ (1999): Ascites in poultry: recent investigations. Avian Pathol, 28, 313-326.
  • Gupta A (2011): Ascites syndrome in poultry: a review. Worlds Poult Sci J, 67, 457-468.
  • Hasanpur K, Nassiry M, Salekdeh GH, et al (2015): Influence of ascites syndrome on growth pattern of chickens reared at normal or cold ambient temperature. Ann Anim Sci, 15, 373-385.
  • Hassanzadeh M, Buyse J, Toloei T, et al (2013): Ascites syndrome in broiler chickens: A review on the aspect of endogenous and exogenous factors interactions. J Poult Sci, 51, 229-241.
  • Julian RJ (1993): Ascites in poultry. Avian Pathol, 22, 419-454.
  • Kaplan S, Gürcan EK (2018): Comparison of growth curves using non-linear regression function in Japanese quail. J Appl Anim Res, 46, 112-117.
  • Kaufmann KW (1981): Fitting and using growth curves. Oecologia, 49, 293-299.
  • Kuhi HD, Kebreab E, Lopez S, et al (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.
  • Lee L, Atkinson D, Hirst AG, et al (2020): A new framework for growth curve fitting based on the von Bertalanffy Growth Function. Scientific Reports, 10, 1-12.
  • Nurmeiliasari N (2010): Ascites Incidence in Broilers. J Sain Peternak Indones, 5, 59-64.
  • Pavlidis H, Balog J, Stamps L, et al (2007): Divergent selection for ascites incidence in chickens. Poult Sci, 86, 2517-2529.
  • Porter T, Kebreab E, Kuhi HD, et al (2010): Flexible alternatives to the Gompertz equation for describing growth with age in turkey hens. Poult Sci, 89, 371-378.
  • Rabinovitch M (2008): Molecular pathogenesis of pulmonary arterial hypertension. J Clin Invest, 118, 2372-2379.
  • Richards F (1959): A flexible growth function for empirical use. J Exp Bot, 10, 290-301.
  • Riddell C, Springer R (1985): Cardiomyopathy and ascites in broiler chickens. Proceedings of the 34th Western Poultry Disease Conference, Austria.
  • Sakomura N, Longo F, Oviedo-Rondon E, et al (2005): Modeling energy utilization and growth parameter description for broiler chickens. Poult Sci, 84, 1363-1369.
  • SAS S (2009). STAT user's guide, version 9.2. Cary, NC, USA: SAS Inst, Inc.
  • Segura-Correa J, Santos-Ricalde R, Palma-Avila I (2017): Non-Linear Model to Describe Growth Curves of Commercial Turkey in the Tropics of Mexico. Braz J Poult Sci, 19, 27-32.
  • Şengül T, Kiraz S (2005): Non-linear models for growth curves in Large White turkeys. Turk J Vet Anim Sci, 29, 331-337.
  • Winkel BJ (2012): Sourcing for parameter estimation and study of logistic differential equation. Int J Math Educ Sci Technol, 43, 67-83.
  • Yang Y, Mekki D, Lv S, et al (2006): Analysis of fitting growth models in Jinghai mixed-sex yellow chicken. Int J Poult Sci, 5, 517-521.
  • Zubair A, Leeson S (1996): Compensatory growth in the broiler chicken: a review. Worlds Poult Sci J, 52, 189-201.

Yıl 2022, Cilt 69, Sayı 3, 289 - 295, 30.06.2022
https://doi.org/10.33988/auvfd.842816

Öz

Kaynakça

  • Aggrey S (2002): Comparison of three nonlinear and spline regression models for describing chicken growth curves. Poult Sci, 81, 1782-1788.
  • Aggrey S (2009): Logistic nonlinear mixed effects model for estimating growth parameters. Poult Sci, 88, 276-280.
  • Arango J, Van Vleck LD (2002): Size of beef cows: early ideas, new developments. Faculty Papers and Publications in Animal Science, 237.
  • Baghbanzadeh A, Decuypere E (2008): Ascites syndrome in broilers: physiological and nutritional perspectives. Avian Pathol, 37, 117-126.
  • Balog J, Anthony N, Cooper M, et al (2000): Ascites syndrome and related pathologies in feed restricted broilers raised in a hypobaric chamber. Poult Sci, 79, 318-323.
  • Currie RJ (1999): Ascites in poultry: recent investigations. Avian Pathol, 28, 313-326.
  • Gupta A (2011): Ascites syndrome in poultry: a review. Worlds Poult Sci J, 67, 457-468.
  • Hasanpur K, Nassiry M, Salekdeh GH, et al (2015): Influence of ascites syndrome on growth pattern of chickens reared at normal or cold ambient temperature. Ann Anim Sci, 15, 373-385.
  • Hassanzadeh M, Buyse J, Toloei T, et al (2013): Ascites syndrome in broiler chickens: A review on the aspect of endogenous and exogenous factors interactions. J Poult Sci, 51, 229-241.
  • Julian RJ (1993): Ascites in poultry. Avian Pathol, 22, 419-454.
  • Kaplan S, Gürcan EK (2018): Comparison of growth curves using non-linear regression function in Japanese quail. J Appl Anim Res, 46, 112-117.
  • Kaufmann KW (1981): Fitting and using growth curves. Oecologia, 49, 293-299.
  • Kuhi HD, Kebreab E, Lopez S, et al (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.
  • Lee L, Atkinson D, Hirst AG, et al (2020): A new framework for growth curve fitting based on the von Bertalanffy Growth Function. Scientific Reports, 10, 1-12.
  • Nurmeiliasari N (2010): Ascites Incidence in Broilers. J Sain Peternak Indones, 5, 59-64.
  • Pavlidis H, Balog J, Stamps L, et al (2007): Divergent selection for ascites incidence in chickens. Poult Sci, 86, 2517-2529.
  • Porter T, Kebreab E, Kuhi HD, et al (2010): Flexible alternatives to the Gompertz equation for describing growth with age in turkey hens. Poult Sci, 89, 371-378.
  • Rabinovitch M (2008): Molecular pathogenesis of pulmonary arterial hypertension. J Clin Invest, 118, 2372-2379.
  • Richards F (1959): A flexible growth function for empirical use. J Exp Bot, 10, 290-301.
  • Riddell C, Springer R (1985): Cardiomyopathy and ascites in broiler chickens. Proceedings of the 34th Western Poultry Disease Conference, Austria.
  • Sakomura N, Longo F, Oviedo-Rondon E, et al (2005): Modeling energy utilization and growth parameter description for broiler chickens. Poult Sci, 84, 1363-1369.
  • SAS S (2009). STAT user's guide, version 9.2. Cary, NC, USA: SAS Inst, Inc.
  • Segura-Correa J, Santos-Ricalde R, Palma-Avila I (2017): Non-Linear Model to Describe Growth Curves of Commercial Turkey in the Tropics of Mexico. Braz J Poult Sci, 19, 27-32.
  • Şengül T, Kiraz S (2005): Non-linear models for growth curves in Large White turkeys. Turk J Vet Anim Sci, 29, 331-337.
  • Winkel BJ (2012): Sourcing for parameter estimation and study of logistic differential equation. Int J Math Educ Sci Technol, 43, 67-83.
  • Yang Y, Mekki D, Lv S, et al (2006): Analysis of fitting growth models in Jinghai mixed-sex yellow chicken. Int J Poult Sci, 5, 517-521.
  • Zubair A, Leeson S (1996): Compensatory growth in the broiler chicken: a review. Worlds Poult Sci J, 52, 189-201.

Ayrıntılar

Birincil Dil İngilizce
Konular Veteriner Hekimlik
Bölüm Araştırma Makalesi
Yazarlar

Ramin NEMATZADEH>
University of Tabriz
0000-0003-0413-5132
Iran


Sadegh ALİJANİ> (Sorumlu Yazar)
University of Tabriz
0000-0001-5839-2164
Iran


Karim HASANPUR>
University of Tabriz
0000-0001-8936-684X
Iran


Majid OLYAYEE>
University of Tabriz
0000-0002-8764-2895
Iran


Jalil SHODJA>
University of Tabriz
0000-0001-6312-2695
Iran

Destekleyen Kurum This research was financially supported by the University of Tabriz grants (project no. 312, Master of Science thesis at University of Tabriz).
Proje Numarası project no. 312
Teşekkür We cordially appreciated the Arian Farm staff for their technical assists and for providing the pedigreed chickens for the current study.
Yayımlanma Tarihi 30 Haziran 2022
Yayınlandığı Sayı Yıl 2022, Cilt 69, Sayı 3

Kaynak Göster

Bibtex @araştırma makalesi { auvfd842816, journal = {Ankara Üniversitesi Veteriner Fakültesi Dergisi}, eissn = {1308-2817}, address = {}, publisher = {Ankara Üniversitesi}, year = {2022}, volume = {69}, number = {3}, pages = {289 - 295}, doi = {10.33988/auvfd.842816}, title = {Comparison of different mathematical functions for fitting growth curves of ascitic and healthy broiler chickens}, key = {cite}, author = {Nematzadeh, Ramin and Alijani, Sadegh and Hasanpur, Karim and Olyayee, Majid and Shodja, Jalil} }
APA Nematzadeh, R. , Alijani, S. , Hasanpur, K. , Olyayee, M. & Shodja, J. (2022). Comparison of different mathematical functions for fitting growth curves of ascitic and healthy broiler chickens . Ankara Üniversitesi Veteriner Fakültesi Dergisi , 69 (3) , 289-295 . DOI: 10.33988/auvfd.842816
MLA Nematzadeh, R. , Alijani, S. , Hasanpur, K. , Olyayee, M. , Shodja, J. "Comparison of different mathematical functions for fitting growth curves of ascitic and healthy broiler chickens" . Ankara Üniversitesi Veteriner Fakültesi Dergisi 69 (2022 ): 289-295 <http://vetjournal.ankara.edu.tr/tr/pub/issue/70947/842816>
Chicago Nematzadeh, R. , Alijani, S. , Hasanpur, K. , Olyayee, M. , Shodja, J. "Comparison of different mathematical functions for fitting growth curves of ascitic and healthy broiler chickens". Ankara Üniversitesi Veteriner Fakültesi Dergisi 69 (2022 ): 289-295
RIS TY - JOUR T1 - Comparison of different mathematical functions for fitting growth curves of ascitic and healthy broiler chickens AU - RaminNematzadeh, SadeghAlijani, KarimHasanpur, MajidOlyayee, JalilShodja Y1 - 2022 PY - 2022 N1 - doi: 10.33988/auvfd.842816 DO - 10.33988/auvfd.842816 T2 - Ankara Üniversitesi Veteriner Fakültesi Dergisi JF - Journal JO - JOR SP - 289 EP - 295 VL - 69 IS - 3 SN - -1308-2817 M3 - doi: 10.33988/auvfd.842816 UR - https://doi.org/10.33988/auvfd.842816 Y2 - 2021 ER -
EndNote %0 Ankara Üniversitesi Veteriner Fakültesi Dergisi Comparison of different mathematical functions for fitting growth curves of ascitic and healthy broiler chickens %A Ramin Nematzadeh , Sadegh Alijani , Karim Hasanpur , Majid Olyayee , Jalil Shodja %T Comparison of different mathematical functions for fitting growth curves of ascitic and healthy broiler chickens %D 2022 %J Ankara Üniversitesi Veteriner Fakültesi Dergisi %P -1308-2817 %V 69 %N 3 %R doi: 10.33988/auvfd.842816 %U 10.33988/auvfd.842816
ISNAD Nematzadeh, Ramin , Alijani, Sadegh , Hasanpur, Karim , Olyayee, Majid , Shodja, Jalil . "Comparison of different mathematical functions for fitting growth curves of ascitic and healthy broiler chickens". Ankara Üniversitesi Veteriner Fakültesi Dergisi 69 / 3 (Haziran 2022): 289-295 . https://doi.org/10.33988/auvfd.842816
AMA Nematzadeh R. , Alijani S. , Hasanpur K. , Olyayee M. , Shodja J. Comparison of different mathematical functions for fitting growth curves of ascitic and healthy broiler chickens. Ankara Univ Vet Fak Derg. 2022; 69(3): 289-295.
Vancouver Nematzadeh R. , Alijani S. , Hasanpur K. , Olyayee M. , Shodja J. Comparison of different mathematical functions for fitting growth curves of ascitic and healthy broiler chickens. Ankara Üniversitesi Veteriner Fakültesi Dergisi. 2022; 69(3): 289-295.
IEEE R. Nematzadeh , S. Alijani , K. Hasanpur , M. Olyayee ve J. Shodja , "Comparison of different mathematical functions for fitting growth curves of ascitic and healthy broiler chickens", Ankara Üniversitesi Veteriner Fakültesi Dergisi, c. 69, sayı. 3, ss. 289-295, Haz. 2022, doi:10.33988/auvfd.842816