Comparison of Growth of Male and Female Kids of Nondescript Goats in a Semi Arid Region of Nigeria
Subject Areas : Camel
A.O. Raji
1
(
Department of Animal Science, University of Maiduguri, Maiduguri, Nigeria
)
L.G. Asheikh
2
(
Department of Animal Science, University of Maiduguri, Maiduguri, Nigeria
)
I.D. Mohammed
3
(
Department of Animal Science, University of Maiduguri, Maiduguri, Nigeria
)
Keywords: body weight, monomolecular model, non-linear models, Richards model,
Abstract :
This study compared the use of five different models to describe the growth from birth to 20 weeks of age of kids from both genders of nondescript goats. Fifty nine (59) nondescript kids were weighed weekly at the university of Maiduguri livestock teaching and research farm, Nigeria and the live weights were modeled. Biologically relevant variables were estimated for each kid from the Logistic, Gompertz, Richards, Monomolecular and Weibull models. Models were compared using the following goodness of fit criteria: coefficient of determination (R2), mean square error (MSE), standard deviation (SD) and Akaike information criteria (AIC). In both genders, all nonlinear models fitted the data well, with high R2 ranging from 0.911 to 0.943 and 0.923 to 0.95 for male and female, respectively. In addition, the males had higher asymptotic weight than females while the reverse was observed with regards to maturing rate. Male kids had heavier inflexion weight and higher age than females for all the models. These values were however higher for Logistic than Gompertz model. The monomolecular model had higher R2 and lower MSE, SD and AIC in both male and female kids. It can be concluded that the nonlinear growth models were suitable for estimating live weight as a function of age for both male and female of nondescript kids in Nigeria. However, the best model was the monomolecular based on model parameters and goodness of fit criteria.
Aggrey S.E. (2002). Comparison of three non-linear and spline regression models for describing chicken growth curves. Poult. Sci. 81, 1782-1788.
Aggrey S.E., Ankra-Badu G.A. and Marks H.L. (2003). Effect of long-term divergent selection on growth characteristics in Japanese quail. Poult. Sci. 82, 538-542.
Akbas Y., Taskin T. and Demiroren E. (1999). Comparison of several models to fit growth curves of Kivircik and Daglic male lambs. Turkish J. Vet. Anim. Sci. 23, 537-544.
Alade N.K., Raji A.O. and Atiku M.A. (2008). Determination of appropriate model for the estimation of body weight in goats. ARPN J. Agric. Biol. Sci. 3(4), 52-57.
Barbato G.F. (1996). Genetics of the growth curve in poultry: physiological implications. Pp. 153-165 in Proc. 2nd European Poult. Breed. Roundtable. Landbrugs.
Bilgin O.C., Esenbuga N. Macit M. and Karaoglu M. (2004). Growth curves characteristics in Morkaraman and Awwasi sheep. I. Comparison of non-linear functions. Wool Technol. Sheep Breed. 52(1), 1-7.
Bridges T.C., Turner U.W. Smith E.M. Stahly T.S. and Loewer O.J. (1986). A mathematical procedure or estimating animal growth and body composition. Trans. ASAE. 29, 1342-1347.
Brisbin I.L., Collins C.T., White G.C. and McCallum D.A. (1987). A new paradigm for the analysis and interpretation of growth data: the shape of things to come. Auk. 104, 552-554.
Brown J.E., Fitzhugh (Jr) H.A. and Cartwright T.C. (1976). A comparison of nonlinear models for describing weight-age relationships in cattle. J. Anim. Sci. 42, 810-818.
FAOSTAT. (2008). Food and Agriculture Organization of the United Nations. Available: http://faostat.fao.org/site/573/default.aspx.
FDL. (2010). National Livestock Estimates. Livestock sector-disaggregated data on key development indicators. FDL, Ministry of Agriculture and Natural Resources, Nigeria.
Forni S., Piles M., Blasco A., Varona L., Oliveira H.N., Lôbo R.B. and Albuquerque L.G. (2009). Comparison of different nonlinear functions to describe Nelore cattle growth.J. Anim. Sci. 87, 496-506.
Gaddour A., Ouni M. and Najari S. (2012). Growth curve estimation in pure goat breeds and crosses at first and second generation under oases. Tunisian J. Cell Anim. Biol. 6(6), 99-103.
Gaddour A. and Najari S. (2013). Estimation parameters of the kid's growth curve in Tunisia goat by using Gompertz model. J. Gen. Environ. Res. Conser. 1(1), 47-49.
Jenkins T.G. and Leymaster K.A. (1993). Estimating of maturing rates and masses at maturity for body components of sheep. J. Anim. Sci. 71, 2952-2957.
Karakus K., Eyduran E., Kum D., Ozdemir T. and Cengiz F. (2008). Determination of the best growth curve and measurement interval in Norduz male lambs. J. Anim. Vet. Adv. 7, 1464-1466.
Kor A., Baspınar E., Karaca S. and Keskin S. (2006). The determination of growth in Akkeci (White goat) female kids by various growth models. Czech J. Anim. Sci. 51(3), 110-116.
Kucuk M. (2004). Growth characteristics of Hamdani, Karakul and Morkaraman lambs in suckling period. Indian Vet. J. 81, 172-175.
Kucuk M. and Eyduran E. (2009). The determination of the best growth model for Akkaraman and German Blackheaded mutton x Akkaraman crossbreed lambs.Bulgarian J. Agric. Sci. 81, 172-175.
Kume K. and Hajno L. (2011). Study of growth curve variations for kids 0-6 months old of Alpine goat breed in Albania. Arch. Zootech. 13(2), 54-62.
Arias M.A., Guevara F., Fonseca N., Rodríguez L., Pinto R., Gómez H., Medina F.J. and Hernández A. (2013). Application of the logistical and Gompertz models to the analysis of live weight curves in Cuban Creole kids. Cuban J. Agric. Sci. 47(1), 1-5.
Lewis R.M., Emmans G.C., Dingwall W.S. and Simm G. (2002). A description of the growth of sheep and its genetic analysis. Anim. Sci. 74, 51-62.
Malhado C.H.M., Carneiro P.L.S., Affonso P.R.A.M., Souza Jr., A.A.O. Sarmento J.L.R. (2009). Growth curves in Dorper sheep crossed with the local Brazilian breeds, Morada Nova, Rabo Largo and Santa Ines. Small Rumin. Res. 84, 16-21.
Mignon-Grasteau S.M. Piles L. Varona H. de Rochambeau J.P. Poivey Blasco A. and Beaumont C. (2000). Genetic analysis of growth curve parameters for male and female chickens resulting from selection on shape of curve. J. Anim. Sci. 78, 2515-2524.
Nasholm A. (1991). Mature weight of ewe as a trait in sheep breeding. Pp. 88-91 in: Proc. 4th World Cong. Genet. Appl. Livest. Prod., Genet. Breed. Fiber, Fur and Meat Quality., Edinburgh.
Ozdemir H. and Dellal G. (2009). Determination of growth curves in young Angora goats. Tarim. Bilimleri. Gergisi. 15, 358-362.
Ricklefs R.E. (1985). Modification of growth and development of muscles in poultry.Poult. Sci. 64, 1563-1576.
Schinckel A.P. and De Lange C.F. (1996). Characterization of growth parameters needed as inputs for pig growth models. J. Anim. Sci. 74, 2021-2036.
Tedeschi L.O. (2006). Assessment of the adequacy of mathematical models. Agric. System. 89, 225-247.
Topal M., Ozdemir M., Aksakal V., Yildiz N. and Dogru U. (2004). Determination of the best point nonlinear function in order to estimate growth in Morkaraman and Awassi lambs. Small Rumin. Res. 55, 229-232.
Tsukahara Y., Chomei Y., Oishi K., Kahi A.K., Panadam J.M., Mukherjee T.K. and Hirooka H. (2008). Analysis of growth pattern in purebred Kambing Katjang goat and its crosses with the German Fawn. Small Rumin. Res. 80, 78-85.
Waheed A., Muhammad S.K., Safdar A. and Muhammad S. (2011). Estimation of growth curve parameters in Beetal goats. Arch. Tierz. 54(3), 287-296.
Yakupoglu C. and Atil H. (2001). Comparison of growth curve models on broilers II. Comparison of models. J. Biol. Sci. 1(7), 682-684.