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Estimation of the growth curve in Colombian sheep using the Richards model

Estimación de la curva de crecimiento en ovinos de pelo colombiano mediante la utilización del modelo Richards



How to Cite
Lenis-Valencia, C. P. ., Hernández-Herrera, D. Y., & Noriega-Márquez, J. G. . (2024). Estimation of the growth curve in Colombian sheep using the Richards model. Journal MVZ Cordoba, 27(s), e2740. https://doi.org/10.21897/rmvz.2740

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Claudia Patricia Lenis-Valencia
Darwin Yovanny Hernández-Herrera
Jorge Guillermo Noriega-Márquez

Claudia Patricia Lenis-Valencia,

1Universidad de Sucre, Grupo de Investigación en Reproducción y Mejoramiento Genético Animal, Sincelejo, Colombia.


Darwin Yovanny Hernández-Herrera,

Universidad Nacional de Colombia, Facultad de Ciencias Agropecuarias, Departamento de Ciencia Anima, Grupo de Investigación Recursos Zoogenéticos, Sede Palmira, Palmira, Colombia.


Jorge Guillermo Noriega-Márquez,

Corporación Colombiana de Investigación Agropecuaria – Agrosavia, Centro de Investigación El Nus, San Roque, Antioquia, Colombia.


Objective. To describe growth in Colombian hair sheep (OPC) using the Richards model. Materials and methods. A total of 2086 records were obtained from weighing every 30 days in OPC sheep from birth to slaughter and weaning at 90 days. In addition, the sex (S), type of lambing (TP) and time of birth (Eponac) of the animals were considered. The data were analyzed with the Richards model using the NLIN procedure of SAS. Results. The asymptotic weight estimation indicated by parameter A for males was 7.8 kg higher than that of females; in the TP, this same parameter indicated a 22% superiority between single and multiple births; finally, in the Eponac variable, the best weight values corresponded to the rainy season with 5 kg more than the animals born in the dry season. For the K parameter, the reference values oscillate between 0.001 and 0.004 in the variables S, TP and Eponac; as well as the correlation between the A and K parameters, the values are between -0.98 and -0.99 in all the variables studied. Conclusions. The Richards model explained the development of the animals and allowed observing the effect of the variables S, TP and Eponac, evidencing in each of these a slow growth, but with high weights at maturity.


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  1. Simanca J, Vergara O, Moris B. Description of growth in sheep creole (Ovis aries) in two populations from Córdoba, Colombia. Rev MVZ Córdoba. 2017; 22(3):6310-6319. https://doi.org/10.21897/rmvz.1135
  2. Instituto Colombiano Agropecuario - ICA [Internet]. [citado 6 de diciembre de 2021]. Disponible en: https://www.ica.gov.co/areas/pecuaria/servicios/epidemiologia-veterinaria/censos-2016/censo-2018.aspx
  3. Noriega J, Hernández D, Bustamante M, Alvarez L, Ariza M, Vergara O. Polymorphisms of candidate genes to growth in two populations of Colombian Creole sheep. Indian J Sci Tech. 2018; 11(46):1-9. https://10.17485/ijst/2018/v11i46/132587
  4. Iqbal F, Waheed A, Zil-e-Huma, Faraz A. Nonlinear Growth Functions for Body Weight of Thalli Sheep using Bayesian Inference. Pak J Zool. 2019; 51(4):1421-28. http://dx.doi.org/10.17582/journal.pjz/2019.51.4.1421.1428
  5. Kucukonder H, Demirarslan PC, Alkan S, Özgür BB. Curve Fitting with Nonlinear Regression and Grey Prediction Model of Broiler Growth in Chickens. Pak J Zool. 2020; 52(1):347-54. https://dx.doi.org/10.17582/journal.pjz/2020.52.1.347.354
  6. Richards FJ. A Flexible growth function for empirical use. J Exp Bot. 1959; 10(2):290-301. https://doi.org/10.1093/jxb/10.2.290
  7. Kopuzlu S, Sezgin E, Esenbuga N, Bilgin OC. Estimation of growth curve characteristics of Hemsin male and female sheep. J Appl Anim Res. 2014; 42(2):228-232. https://doi.org/10.1080/09712119.2013.842479
  8. Hossein-Zadeh G. Modeling the growth curve of Iranian Shall sheep using non-linear growth models. Small Rumin Res. 2015; 130:60-66. https://doi.org/10.1016/j.smallrumres.2015.07.014
  9. Lenis-Valencia, C. P., Molina, E. J., & Álvarez-Franco, L. A. Productividad y curvas de crecimiento usando modelos no lineales en un cruce de ovino de pelo colombiano x pelibuey. Revista U.D.C.A Actualidad & Divulgación Científica. 2022; 25(2). https://doi.org/10.31910/rudca.v25.n2.2022.1853
  10. Nimase RG, Kandalkar YB, Bangar YC. Non-linear modeling for estimation of growth curve parameters in Madgyal sheep. J Entomol Zool Stud. 2018; 6(2):463-465. https://www.entomoljournal.com/archives/2018/vol6issue2/PartG/6-1-202-897.pdf
  11. Balan C, Kathiravan G, Thirunavukkarasu M, Jeichitra V. Non-linear growth modelling in Mecheri breed of sheep. J Entomol Zool Stud. 2017; 5(5):2005-2008. https://www.entomoljournal.com/archives/2017/vol5issue5/PartZ/5-5-161-663.pdf
  12. Ghavi Hossein-Zadeh, N. Modeling the growth curve of Iranian Shall sheep using non-linear growth models. Small Ruminant Research. 2015; 130, 60-66. https://doi.org/10.1016/j.smallrumres.2015.07.014
  13. Bahreini BM, Aslaminejad AA, Sharifi AR, Simianer H. Comparison of mathematical models for describing the growth of Baluchi sheep. J Agri Sci Tech. 2014; 16(14):57-68. https://www.sid.ir/en/journal/ViewPaper.aspx?id=354455
  14. Tariq MM, Iqbal F, Eyduran E, Bajwa MA, Huma ZE, Waheed A. Comparison of non-linear functions to describe the growth in Mengali sheep breed of Balochistan. Pak J Zool. 2013; 45(3):661-665. http://zsp.com.pk/pdf45/661-665%20_11_%20PJZ-1185-12%2021-5-13%20revised_corrected_copy.pdf
  15. Teixeira MC, Villarroel AB, Pereira ES, de Oliveira SMP, Albuquerque ÍA, Mizubuti IY. Curva de crescimento de cordeiros oriundos de três sistemas de produção na Região Nordeste do Brasil. Semina Ciênc Agrár. 2012; 33(5):2011-2018. http://dx.doi.org/10.5433/1679-0359.2012v33n5p2011
  16. Cuello M, Moreno J, Aguilar F, Baracaldo A, Atuesta-Bustos J. Factores no genéticos en el crecimiento predestete de corderos biotipo lana en el trópico de altura colombiano. Rev Investig Vet Perú. 2019; 30(1):231–239. https://doi.org/10.15381/rivep.v30i1.14902
  17. Yilmaz A, Karakus F, Bingöl M, Kaki B, Ser G. Effects of some factors on growth of lambs and the determination of growth curve models. Indian J Anim Res. 2018; 52(9):1257-1262. http://doi.org/10.18805/ijar.B-815
  18. Gabr AA, Shalaby NA, Ahmed ME. Effect of ewe born type, growth rate and weight at conception on the ewe subsequent productivity of Rahmani sheep. Asian J Anim Vet Adv. 2016; 11:732-736. http://doi.org/10.3923/ajava.2016.732.736
  19. Gemiyo D, Abebe G, Ganga G, Tera A, Gemeda BS. Early growth and survival rates of crossbred lambs (Dorper x indigenous) under semi-intensive management at Areka, Southern Ethiopia: Effects of non-genetic factors. Afr J Agric Res. 2017; 12(23):2008-2016. https://doi.org/10.5897/AJAR2017.12280
  20. Vergara-Garay O, Llorente-Martínez E, Ramos-Caro L, Bustamante-Yánez M, Simanca-Sotelo JC. Descripción del crecimiento en ovinos criollos utilizando el modelo Brody. Orinoquia. 2016; 20(2):34-39. https://doi.org/10.22579/20112629.351
  21. Faraz A, Younas M, Waheed A, Yaqoob M, Ishaq K. Growth performance and hair mineral status of Marecha (Camelus dromedarius) calves reared under different management systems. Pak J Zool. 2019; 51:503-509. http://dx.doi.org/10.17582/journal.pjz/2019.51.2.503.509
  22. Miller B, Selevsek N, Grossmann J, Kilminster T, Scanlon T, Daniels M, et al. Ovine liver proteome: Assessing mechanisms of seasonal weight loss tolerance between Merino and Damara sheep. J Proteomics. 2019; 191:180-190. https://doi.org/10.1016/j.jprot.2018.02.018

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