2,712
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Comparison of five mathematical models that describe growth in tropically adapted dual-purpose breeds of chicken

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon show all
Pages 158-166 | Received 29 Sep 2019, Accepted 07 Apr 2021, Published online: 30 Apr 2021

References

  • Abbas AA, Yosif AA, Shukur AM, Ali FH. 2014. Effect of genotypes, storage periods and feed additives in broiler breeder diets on embryonic and hatching indicators and chicks blood parameters. Sci Agric. 7:44–48.
  • Ahmad HA. 2009. Poultry growth modeling using neural networks and simulated data. J Appl Poult Res. 18:440–446. doi:10.3382/japr.2008-00064
  • Ait KA, Moula N. 2013. Performances de productions de la poule locale kabyle. Revue Agric. 5:1–4.
  • Ajayi FO, Bamidele O, Hassan WA, Ogundu UE, Yakubu A, Alabi OO, Akinsola OM, Sonaiya EB, Adebambo OA. 2020. Production Performance and survivability of six dual purpose genotypes of chicken under smallholder farmers’ management practices in Nigeria. Arch Anim Breed. 63:387–408. doi:10.5194/aab-63-387-2020
  • Akbaş Y, Oğuz I. 1998. Growth curve parameters of lines of Japanese quail (Coturnix coturnix japonica), unselected and selected for four-week body weight. Arch Geflugelkunde. 62(3):104–109.
  • Alkan S, Mendes M, Karabag K, Balcioglu MS. 2009. Effects of short term divergent selection for 5-week body weight on growth characteristics in Japanese quail. Arch Für Gef. 73:124–131.
  • Alkan S, Narinç D, Karsli T, Karabağ K, Balcioğlu MS. 2012. Effects of thermal manipulations during early and late embryogenesis on growth characteristics in Japanese quails (Coturnix coturnix japonica). Arch Für Gef. 76:184–190.
  • Amraei S, Mehdizadeh SA, Salari S. 2017. Broiler weight estimation based on machine vision and artificial neural network. Br Poul Sci. 58(2):200–205. doi:10.1080/00071668.2016.1259530
  • Bamidele O, Sonaiya EB, Adebambo OA, Dessie T. 2019. On-station performance evaluation of improved tropically adapted chicken breeds for smallholder poultry production systems in Nigeria. Trop Anim Health Prod. doi:10.1007/s11250019021589.
  • Barbato GF. 1991. Genetic architecture of growth curve parameters in chickens. Theor Appl Gen. 83:24–32. doi:10.1007/BF00229222
  • Cetin MT, Sengul B, Sogut S, Yurtseven S. 2007. Comparison of growth models of male and female partridges. J Biol Sci. 7:964–968. doi:10.3923/jbs.2007.964.968
  • Darmani KH, Kebreab E, López S, France J. 2003. A comparative evaluation of functions for the analysis of growth in male broilers. J Agr Sci. 140:451–459. doi:10.1017/S0021859603003149.
  • Darmani KH, Porter T, Lopez S, Kebreab E, Strathe AB, Dumas A, Dijkstra J, France J. 2010. A review of mathematical functions for the analysis of growth in poultry. World Poul Sci J. 66:227–239. doi:10.1017/S0043933910000280
  • Dourado LRB, Sakomura NK, Nascimento DCN, Dorigam JC, Marcato SM, Fernandes JBK. 2009. Growth and performance of naked neck broiler reared in free-range system. Ciência e Agrotecnologia. 33:875–881. doi:10.1590/S1413-70542009000300030
  • France J, Dijkstra J, Dhanoa MS. 1996. Growth functions and their application in animal science. Annde Zoo. 45:165–174. doi:10.1051/animres:19960637
  • Gompertz B. 1832. 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 Roy Soc London. 123:513–585.
  • Gous RM, MoranJr.ET, Stilborn HR, Bradford GD, Emmans GC. 1999. Evaluation of the parameters needed to describe the overall growth, the chemical growth, and the growth of feathers and breast muscles of broilers. Poult Sci. 78:812–821. doi:10.1093/ps/78.6.812
  • Grossman M, Bohren BB. 1985. Comparison of proposed growth curve functions in chickens. Gro. 46:259–274.
  • Iqbal F, Waheed A, Huma Z, Faraz A. 2019. Nonlinear growth functions for body weight of thalli sheep using Bayesian inference. Pak J Zool. 51:1421–1428.
  • Keskin I, Dag B. 2006. Comparison of the linear and quadratic models for describing the growth of live weight and body measurements in Anatolian merino male lambs in fattening period: estimation of growth curve parameters in Konya merino sheep. J Anim Vet Adv. 5:19–23.
  • Knizetova H, Hyanek J, Hyankova L, Belicek P. 1985. Comparative study of growth curves in poultry. Gen Sel Evolut. 27:365–375. doi:10.1186/1297-9686-27-4-365
  • Knizetova H, Hyanek J, Knize B, Roubicek J. 1991. Analysis of growth curves in fowl. I. Chickens. Br Poult Sci. 32:1027–1038. doi:10.1080/00071669108417427
  • Lawrence TLJ, Fowler VR. 2002. Growth of farm animals. 2nd ed. Wallingford: CAB International, 347.
  • Liao J, Liu R. 2009. Re-parameterization of five-parameter logistic function. J Chemo. 23:248–253. doi:10.1002/cem.1218
  • Michalczuk M, Damaziak K, Goryl A. 2016. Sigmoid models for the growth curves in medium-growing meat type chickens, raised under semi-confined conditions. Ann Anim Sci. 16(1):65–77. doi:10.1515/aoas-2015-0061.
  • Mignon GS, Beaumont C. 2000. Les courbes de croissance chez les oiseaux. Inra Prod Anim. 13(5):337–348. doi:10.20870/productions-animales.2000.13.5.3802
  • Milosevic B, Ciric S, Lalic N, Milanovic V, Savic Z, Omerovic I, Doskovic V, Djordjevic S, Andjusic L. 2019. Machine learning application in growth and health prediction of broiler chickens. W Poul Sci J. 75:401–410. doi:10.1017/S0043933919000254
  • Narinç D, Aksoy T, Karaman E. 2010. Genetic parameters of growth curve parameters and weekly body weights in Japanese quail. J Anim Vet. Adv. 9:501–507. doi:10.3923/javaa.2010.501.507
  • Narinç D, Aygün A. 2010. Growth curve analyses in poultry science. W Poult Sci. 73:395–408. doi:10.1017/S0043933916001082
  • N'dri AL, Mignon GS, Sellier S, Tixier-Boichard M, Beaumont C. 2006. Genetic relationships between feed conversion ratio, growth curve and body composition in slow growing chickens. Br Poult Sci. 47:273–280. doi:10.1080/00071660600753664
  • Norris D, Ngambi JW, Benyi K, Makgahlela ML, Shimelis HA, Nesamvuni EA. 2007. Analysis of growth curves of indigenous male Venda and Naked Neck chickens. S Afr J Anim Sci. 37:21–26.
  • Porter T, Kebreab E, Darmani KH, Lopez S, Strathe AB, France J. 2010. Flexible alternatives to the Gompertz equation for describing growth with age in Turkey hens. Poult Sci. 89:371–378. doi:10.3382/ps.2009-00141
  • Ratkowsky D. A., Reedy T. J.. 1986. Choosing near-linear parameters in the four-parameter logistic model for radioligand and related assays. Bio. 42:575–582.
  • Roush WB, Branton SL. 2006. Comparison of Gompertz and neural network models of broiler growth. Poult Sci. 85:794–797. doi:10.1093/ps/85.4.794
  • Safari AA, Faghih MF, Zare M, Seidavi A, Laudadio V, Selvaggi M, Tufarelli V. 2017. Artificial neural network and non-linear logistic regression models to fit the egg production curve in commercial-type broiler breeders. Eur Poult Sci. 81. DOI: 10.1399/eps.2017.212.
  • Sahin A, Ulutas Z, Karadavut U, Yildirim A, Arslan S. 2014. Anadolu mandasi malaklarinda buyume egrisinin cesitli dogrusal olmayan modeller kullanilarak karsilastirilmasi. Kafkas Univ Vet Fak Derg. 20:357–362. (In Turkish, with English abstract).
  • Sakomura NK, Longo FA, Oviedo-Rondon EO, Boa-Viagem C, Ferraudo A. 2005. Modelling energy utilization and growth parameter description for broiler chickens. Poult Sci. 84:1363–1369. doi:10.1093/ps/84.9.1363
  • Santos AL, Sakomura NK, Freitas ER, Fortes CMS, Carrilho ENVM. 2005. Comparison of free range broiler chicken strains raised in confined or semi-confined systems. Rev Bras de Ciên Aví. 7:85–92. doi:10.1590/S1516-635X2005000200004
  • Sariyel V, Aygun A, Keskin I. 2017. Comparison of growth curve models in partridge. Poult Sci. 96(6):1635–1640. doi:10.3382/ps/pew472
  • Selvaggi M, Laudadio V, Dario C, Tufarelli V. 2015. Modelling growth curves in a nondescript Italian chicken breed: An opportunity to improve genetic and feeding strategies. J Poult Sci. 52:288–294. doi:10.2141/jpsa.0150048
  • Sengul T, Kiraz S. 2005. Non-linear models for growth curves in large white turkeys. Turk J Vet Anim Sci. 29:331–337.
  • Sivanandam SN, Sumathi S, Deepa SN. 2008. Introduction to neural networks using matlab 6.0. Tata McGraw Hill, 1st ed.
  • Strathe AB, Danfær A, Sørensen H, Kebreab E. 2010. A multilevel nonlinear mixed-effects approach to model growth in pigs. J Anim Sci. 88:638–649. doi:10.2527/jas.2009-1822
  • Teleken JT, Galvão AC, daS R, Teleken JT, Galvão AC, daS R. 2017. Comparing non-linear mathematical models to describe growth of different animals. Acta Sci Anim Sci. 39:73–81. doi:10.4025/actascianimsci.v39i1.31366
  • Thornley JHM, France J. 2007. Mathematical models in agriculture: quantitative methods for the plant, animal and ecological sciences, 2nd ed. Wallingford: CAB International.
  • Tjørve KMC, Tjørve E. 2017. The use of Gompertz models in growth analyses, and new Gompertz-model approach: an addition to the unified-Richards family. PLoS ONE. 12(6):e0178691. doi:10.1371/journal.pone.0178691
  • Tsoularis A, Wallace J. 2002. Analysis of logistic growth models. Math Biol. 179:21–55. doi:10.1016/S0025-5564(02)00096-2
  • Tzend RY, Becker WA. 1981. Growth patterns of body and abdominal fat weight in male broiler chickens. Poult Sci. 60:1101–1106. doi:10.3382/ps.0601101
  • Wang DQ, Lu LZ, Ye WC, Shen JD, Tao ZR, Tao ZL, Ma FL, Chen YC, Zhao AZ, Xu J. 2004. Study on the growth regularity of jinyun muscovy duck. Zhe J Anim Sci Vet Med. 6:3–5.
  • Wellock I, Emmans G, Kyriazakis I. 2004. Describing and predicting potential growth in the pig. Anim Sci. 78:379–388. doi:10.1017/S1357729800058781
  • Yakubu A, Madaki J. 2017. Modelling growth of dual-purpose Sasso hens in the tropics using different algorithms. J Genet Mol Biol. 1(1):1–9. doi:10.35841/genetics-molecular-biology.1.1.1-9
  • Yakupoglu C, Atil H. 2001. Comparison of growth curve models on broilers growth curve I: parameters estimation. Onl J Biol Sci. 1:680–681. doi:10.3923/jbs.2001.680.681
  • Yang Y, Mekki DM, Lv SJ, Wang LY, Yu JH, Wang JY. 2006. Analysis of fitting growth models in Jinghai mixed-sex yellow chicken. Int J Poult Sci. 5:517–521. doi:10.3923/ijps.2006.517.521
  • Yapi VC, Loukou EN, Konan NYBJ-C, Toure G, Kreman K, Youssao I, Kayang B, Rognon X, TixierBoichard M. 2011. Poids vif et paramètres de la courbe de croissance des poulets de race locale (Gallus domesticus) en côte d’Ivoire. Agro Afri. 23(3):273–281.
  • Yaya W, Ke L, Honghua L, Haiyue C, Haiguang M, Xinyang D, Zhaozheng Y. 2019. Comparison of nine growth curve models to describe growth of partridges (Alectoris chukar). J Appl Anim Res. 47(1):195–200. doi:10.1080/09712119.2019.1599900
  • Zhao Z, Li S, Huang H, Li C, Wang Q, Xue L. 2015. Comparative study on growth and developmental model of indigenous chicken breeds in China. Open J Anim Sci. 5(2):219–223. doi:10.4236/ojas.2015.52024