Evaluation of BR-Goats and Sheep models for predicting dry matter intake in Pelibuey lambs
DOI:
https://doi.org/10.19136/era.a13n3.5252Keywords:
External validation, hair sheep, precision feeding, tropical conditions, nutritional modelsAbstract
This study evaluated four equations for predicting dry matter intake (DMI) in confined Pelibuey lambs under tropical conditions. The original dataset comprised 30 lambs (13.1 ± 2.8 kg body weight; 60 d of age); after applying the studentized residual criterion, 28 animals remained in the analysis. Performance was evaluated using regression analysis, root mean squared error of prediction (RMSEP), concordance correlation coefficient (CCC), modeling efficiency (MEF), and error decomposition. Equation 1 had the lowest RMSEP (82.03 g/d) and highest MEF (0.71), although its intercept differed from zero. Equation 2 was the only model whose intercept and slope did not differ from zero and unity, respectively. Equations 3 and 4 showed proportional bias. These results indicate that model performance depends on the evaluation criterion and that additional independent evaluations are required before these equations can be routinely applied.
Downloads
References
AFRC (1993) Energy and protein requirements of ruminants: An advisory manual prepared by the AFRC Technical Committee on Responses to Nutrients. CAB International. Wallingford, UK.
AOAC (1980) Official methods of analysis. 13th Edition. Association of Official Analytical Chemists. Washington, DC, USA.
Azevêdo JAG, Pereira MIB, Souza LL, Menezes GL, Carvalho GGP, Pereira ES, Teixeira IAMA, Santos SA, Pereira MLA, Araújo GGL, Cândido MJD, Bezerra LR, Pereira Filho JM, Lima Júnior DM, Urbano SA, Ferreira MA, Ruiz Alba HD (2024) Predição do consumo de matéria seca para caprinos e ovinos. In: Pereira ES, Teixeira IAMA, Azevêdo JAG, Santos SA (eds) Exigências nutricionais de caprinos e ovinos: BR-Caprinos & Ovinos. Editora Scienza. São Carlos, São Paulo, Brasil. pp. 33-64. https://doi.org/10.26626/9786556681849.2024C002
Bateki CA, Dickhoefer U (2019) Predicting dry matter intake using conceptual models for cattle kept under tropical and subtropical conditions. Journal of Animal Science 97(9): 3727-3740. https://doi.org/10.1093/jas/skz226
Cabral LS, Neves EMO, Zervoudakis JT, Abreu JG, Rodrigues RC, Souza AL, Oliveira IS (2008) Estimativas dos requisitos nutricionais de ovinos em condições brasileiras. Revista Brasileira de Saúde e Produção Animal 9(3): 529-542.
Cannas A, Tedeschi LO, Fox DG, Pell AN, Van Soest PJ (2004) A mechanistic model for predicting the nutrient requirements and feed biological values for sheep. Journal of Animal Science 82(1): 149-169. https://doi.org/10.2527/2004.821149x
CSIRO (2007) Nutrient requirements of domesticated ruminants. CSIRO Publishing. Collingwood, Victoria, Australia.
Gurgel ALC, Difante GS, Emerenciano Neto JV, Santana JCS, Fernandes PB, Santos GT, Dias AM, Ítavo LCV, Ítavo CCBF, Medeiros HR (2021) Prediction of dry matter intake by meat sheep on tropical pastures. Tropical Animal Health and Production 53: 479. https://doi.org/10.1007/s11250-021-02916-8
Hernández-de los Santos AD, Duran-Zamora EM, Luna-Palomera C, López-Durán S, Vázquez-Martínez I, Muñoz-Osorio GA, Chay-Canul AJ (2022) Crecimiento post-destete y rentabilidad de corderos Pelibuey suplementados con tres diferentes concentrados comerciales en Tabasco, México. Ecosistemas y Recursos Agropecuarios 9(2): e3148. https://doi.org/10.19136/era.a9n2.3148
INRA (2007) Alimentation des bovins, ovins et caprins: Besoins des animaux, valeurs des aliments, tables INRA 2007. Éditions Quæ. Versailles, France.
Lin LI (1989) A concordance correlation coefficient to evaluate reproducibility. Biometrics 45(1): 255-268. https://doi.org/10.2307/2532051
NRC (2007) Nutrient requirements of small ruminants: Sheep, goats, cervids, and New World camelids. The National Academies Press. Washington, DC, USA. https://doi.org/10.17226/11654
Oliveira APD, Cunha CS, Pereira ES, Biffani S, Medeiros AN, Silva AMA, Marcondes MI (2020) Meta-analysis of dry matter intake and neutral detergent fiber intake of hair sheep raised in tropical areas. PLOS ONE 15(12): e0244201. https://doi.org/10.1371/journal.pone.0244201
Tedeschi LO (2006) Assessment of the adequacy of mathematical models. Agricultural Systems 89(2-3): 225-247. https://doi.org/10.1016/j.agsy.2005.11.004
SAS (2010) SAS/STAT software, version 9.0.2. SAS Institute Inc. Cary, North Carolina, USA.
Van Soest PJ, Robertson JB, Lewis BA (1991) Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. Journal of Dairy Science 74(10): 3583-3597. https://doi.org/10.3168/jds.S0022-0302(91)78551-2
Vieira PAS, Pereira LGR, Azevêdo JAG, Neves ALA, Chizzotti ML, dos Santos RD, de Araújo GGL, Mistura C, Chaves AV (2013) Development of mathematical models to predict dry matter intake in feedlot Santa Ines rams. Small Ruminant Research 112(1-3): 78-84. https://doi.org/10.1016/j.smallrumres.2012.10.007
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Ecosistemas y Recursos Agropecuarios
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Aviso de copyright
Los autores que se envían a esta revista aceptan los siguientes términos:
una. Los autores conservan los derechos de autor y garantizan a la revista el derecho a ser la primera publicación del trabajo con una licencia de atribución de Creative Commons que permite a otros compartir el trabajo con un reconocimiento de la autoría del trabajo y la publicación inicial en esta revista.
B. Los autores pueden establecer acuerdos complementarios separados para la distribución no exclusiva de la versión del trabajo publicado en la revista (por ejemplo, en un repositorio institucional o publicarlo en un libro), con un reconocimiento de su publicación inicial en esta revista.
C. Se permite y se anima a los autores a difundir su trabajo electrónicamente (por ejemplo, en repositorios institucionales o en su propio sitio web) antes y durante el proceso de envío, ya que puede conducir a intercambios productivos, así como a una cita más temprana y más extensa del trabajo publicado. (Consulte El efecto del acceso abierto).
