ESTIMATION OF THE STANDARD GROWTH REGION OF NATIVE TURKEYS (Meleagris gallopavo L.) CALCULATED USING THE RICHARDS EQUATION

Marco Antonio Camacho-Escobar, Sergio Machorro-Sámano, Serafín Jacobo López-Garrido, Narciso Ysac Ávila-Serrano, Mónica Marcela Galicia-Jiménez, Jorge Alberto Cruz-Torres, Eliud Flores-Morales

Abstract


Background. A variety of mathematical models explain animal growth, showing a sigmoid curve. Richards' model includes four parameters, allowing a better fit to experimental data, as evidenced by a high coefficient of determination and a low standard error of estimation. However, it does not always converge and some of its parameters are difficult to interpret biologically. It is useful to model a standard growth zone to estimate, at a given age, the weight of native turkeys within confidence limits, to obtain useful management conclusions. Objective. To establish a standard average growth region for male native turkeys on the coast of Oaxaca, for productive purposes, using the Richards equation. Methodology. The weights of 23 male native turkeys were recorded weekly from hatching to 54 weeks of age. Non-linear regression to fit the data to Richards' equation was performed using the free software GeoGebra®. The standard growth zone consisted of a lower and upper limit, which were determined by adding and subtracting the standard error of the estimate from Richards' model. The growth rate equation and graph were developed, showing its asymmetry, maximum value and age at which said value is reached. Results. Determination coefficient of 0.993, standard error of the estimate of 190.5 g, and maximum growth rate of 322.11 g*week-1 at 18.22 weeks of age were obtained. Implications. The use of the standard growth zone, under intensive production conditions, is valuable in the study and evaluation of the growth of male native turkeys. Conclusions. The standard growth zone is a very useful concept, allowing for the establishment of weight limits that animals should have at the optimal age, facilitating decision-making to optimize management and feeding practices, as well as maximizing efficiency and performance.

Keywords


Growth of native turkeys; animal growth curves; Richards equation; nonlinear regression.

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References


Agudelo-Gómez, D.A., Cerón-Muñoz, M.F. and Restrepo, L.F., 2007. Modelación de funciones de crecimiento aplicadas a la producción animal. Revista Colombiana de Ciencias Pecuarias, 20, pp. 157-173.

Anthony, N.B., Emmerson, D.A. and Nestor, K.E., 1991. Research Note: Influence of body weight selection on the growth curve of turkeys. Poultry Science, 70, pp. 192-194. https://doi.org/10.3382/ps.0700192

Arando, A., González-Ariza, A., Lupi, T.M., Nogales, S., León, J.M., Navas-González, F.J., Delgado, J.V. and Camacho, M.E., 2021. Comparison of non-linear models to describe the growth in the Andalusian turkey breed. Italian Journal of Animal Science, 20, pp. 1156-1167. https://doi.org/10.1080/1828051X.2021.1950054

Camacho-Escobar, M.A., Jerez-Salas, M.P., Romo-Díaz, C., Vázquez-Dávila, M.A. and García-Bautista, Y., 2016. La conservación in situ de aves en el traspatio oaxaqueño. Quehacer científico en Chiapas, 11, pp. 60-69.

Camacho-Escobar, M.A., Arroyo-Ledezma, J., Pérez-Lara, E., Sánchez-Bernal, E.I. and García-López, J.C., 2009-2010. Enfermedades y parasitosis asociadas a una explotación intensiva de guajolotes nativos. Ciencias Agrícolas Informa 19, pp. 56-61.

Camacho?Escobar, M.A., Arroyo?Ledezma, J. and Ramirez?Cancino, L., 2008. Diseases of backyard turkeys in the Mexican tropics. Annals of the New York Academy of Sciences, 1149, pp. 368-370. https://doi.org/10.1196/annals.1428.004

Domínguez, J., Rodríguez, F., Núñez, R., Ramírez, R., Ortega, J. and Ruiz, A., 2013. Ajuste de modelos no lineales y estimación de parámetros de crecimiento en bovinos tropicarne. Revista Agrociencia, 47, pp. 25-34.

Ersoy, I.E., Mendés, M. and Aktan, S., 2006. Growth curve establishment for American Bronze turkeys. Archives of Animal Breeding, 49, pp. 293-299. https://doi.org/10.5194/aab-49-293-2006

García, E., 1988. Modificaciones al sistema de clasificación climática de Köppen. 4ta. ed., UNAM, México, 220 pp.

Juárez-Caratachea, A., Gutiérrez-Vázquez, E., Ortiz-Rodríguez, R. and Segura- Correa, J.C., 2017. Descripción de la curva de crecimiento de guajolotes nativos locales en Michoacán. Revista Mexicana de Agroecosistemas, 4(Suplemento 3), pp. 95-98.

Juárez-Caratachea, A., Delgado-Hurtado, I., Gutiérrez-Vázquez, E., Salas-Razo, G., Ortiz-Rodríguez, R. and Segura-Correa, J.C., 2019. Descripción de la curva de crecimiento de pavos locales usando modelos no lineales. Revista MVZ Córdoba, 24, pp. 7104-7107. https://doi.org/10.21897/rmvz.1149

Mata-Estrada, A., Gonzalez-Cerón, F., Pro-Martínez, A., Torres-Hernández, G., Bautista-Ortega, J., Becerril-Perez, C.M., Vargas-Galicia, A.J. and Sosa-Montes, E., 2020. Comparison of four nonlinear growth models in Creole chickens of Mexico. Poultry Science, 99, pp. 1995–2000. https://doi.org/10.1016/j.psj.2019.11.031

Oludayo, M.A., Sonaiya, B.E., Bamidele, O., Hassan, W.A., Yakubu, A., Ajayi, F.O., Ogundu, U., Alabi, O.O. and Adebambo, O.A., 2021. Comparison of five mathematical models that describe growth in tropically adapted dual-purpose breeds of chicken. Journal of Applied Animal Research, 49, pp. 158–166. https://doi.org/10.1080/09712119.2021.1915792

Parés, P. and Kucherova, I., 2014. Comparación de modelos no lineales para describir curvas de crecimiento en la cabra catalana. Revista de Investigaciones Veterinarias del Perú, 25, pp. 390-398.

Pereda, M., González, S., Arjona, E., Bueno, G. and Mendoza, G., 2004. Ajuste de modelos de crecimiento y cálculo de requerimientos nutricionales para bovinos Brahman en Tamaulipas, México. Agrociencia, 39, pp. 19-27.

Pérez-Lara, E., Camacho-Escobar M.A., García-López J.C., Machorro-Samano S., Ávila-Serrano N.Y. and Arroyo-Ledezma J., 2013. Mathematical modeling of the native Mexican turkey's growth. Open Journal of Animal Science. 3, pp. 305-310. https://doi.org/10.4236/ojas.2013.34045

Plata, L., González, P. and Calderón, E., 2015. La función de crecimiento de Richard y los modelos de crecimiento neoclásicos. EconoQuantum, 14, pp. 99-118.

Porter, T., Kebreab, E., Darmani Kuhi, H., Lopez, S., Strathe, A.B. and France, J., 2010. Flexible alternatives to the Gompertz equation for describing growth with age in turkey hens. Poultry Science, 89, pp. 371-378. https://doi.org/10.3382/ps.2009-00141

Safari, A., Ahmadpanah, J., Jafaroghli, M. and Karimi, H., 2020. Comparative study of growth patterns for three strains of broiler chickens using mathematical models. Agriculturae Conspectus Scientificus, 86, pp. 75-82.

Sariyel, V., Aygun, A. and Keskin, I., 2017. Comparison of growth curve models in partridge. Poultry Science, 96, pp. 1635–1640. http://dx.doi.org/10.3382/ps/pew472

Segura-Correa, J.C., Santos-Ricalde, R.H. and Palma-Ávila, I., 2017. Non-linear model to describe growth curves of commercial turkey in the tropics of Mexico. Brazilian Journal of Poultry Science, 19, pp. 27-32. http://dx.doi.org/10.1590/1806-9061-2016-0246

?engül, T. and Kiraz, S., 2005. Non-linear models for growth curves in large white turkeys. Turkish Journal of Veterinary y Animal Sciences, 29, Article 22. https://journals.tubitak.gov.tr/veterinary/vol29/iss2/22 Consultado el 6 de junio de 2024.

Sogut, B., Celik, S., Ayasan, T. and Inci, H., 2016. Analyzing growth curves of turkeys reared in different breeding systems (intensive and free-range) with some nonlinear models. Brazilian Journal of Poultry Science, 18, pp. 619-628. http://dx.doi.org/10.1590/1806-9061-2016-0263

Ulloa, J., Grijalva, F., Arrieta, J. and Ortega, M., 2017. Tratamiento del modelo de Richards. Acta Pesquera, 3, pp. 51-59.

Zárate-Contreras, D., González-Cerón, F., Cuca-García, J.M., Pro-Martínez, A., Ramírez-Valverde, G., Aggrey, S.E., Hernández-Mendo, O., Gallegos-Sánchez, J. and Sosa-Montes, E., 2022. Mexican Creole chickens: effect of data collection periods on goodness-of-fit and parameter precision of growth models. Poultry Science, 101, 101903. https://doi.org/10.1016/j.psj.2022.101903




URN: http://www.revista.ccba.uady.mx/urn:ISSN:1870-0462-tsaes.v27i3.57494

DOI: http://dx.doi.org/10.56369/tsaes.5749



Copyright (c) 2024 Marco Antonio Camacho-Escobar, Sergio Machorro-Sámano, Serafín Jacobo López-Garrido, Narciso Ysac Ávila-Serrano, Mónica Marcela Galicia-Jiménez, Jorge Alberto Cruz-Torres, Eliud Flores-Morales

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