1. Instituto Nacional de Investigaciones Forestales, Agrílas y Pecuarias
  2. Revista Mexicana de Ciencias Pecuarias

Encabezado de página

 

 

Usuario/a

FACTOR DE IMPACTO

 

2021 = 0.863

ÍNDICE SCIMAGO

SCImago Journal & Country Rank

 

SÍGUENOS

 

 Tweets by revistapecuaria

Palabras clave Apicultura Apis mellifera Bovinos Calidad Carne Composición química Digestibilidad Energía Escherichia coli Forraje Heredabilidad Leche Materia seca México Ovinos Ovinos de pelo PCR Resistencia Vampirinip III cambio climático Ácidos grasos
Idioma
  • Inicio
  • Acerca de
  • Iniciar sesión
  • Registrarse
  • Buscar
  • Actual
  • Archivos
  • Notas al Autor
  • Ayuda
Inicio > Vol. 10, Núm. 3 (2019) > Chay-Canul

Development and evaluation of equations to predict body weight of Pelibuey ewes using heart girth

Alfonso J. Chay-Canul, Ricardo A. García-Herrera, Rosario Salazar-Cuytún, Nadia F. Ojeda-Robertos, Aldenamar Cruz-Hernández, Mozart A. Fonseca, Jorge R. Canul-Solís

Resumen


The aim of this study was to develop and evaluate equations to predict body weight (BW) using heart girth (HG) in Pelibuey ewes. For model develop a data set composed by 366, 3-year-old, non-pregnant and non-lactating ewes; with a mean BW of 45.7±9.16 kg and HG of 87.55± 7.93 cm was used. A linear equation was fitted: BW= -47.97 (±2.01*) + 1.07 (±0.02**)×HG (R2 = 0.86, RMSE = 3.46, , y n = 366). A second data set composed by 67 animals, with similar characteristics (BW of 38.25± 8.62 kg and HG of 80.37± 7.03 cm) was used to evaluate the developed equations. For the evaluation, the relationship between observed and predicted values of BW by linear regression, the mean squared error of prediction (MSEP) and root MSEP (RMSEP), and concordance correlation coefficient analysis were used. The proposed equation was highly precise (r2 =0.913) and accurate (Cb=0.996) with a reproducibility index of 0.95. The MEF have indicates a higher efficiency of prediction with higher proportion of the total variance of the observed values been explained by the predicted data (0.91). The partition of the MSEP have indicated a very small mean bias (0.082). The systematic bias have shown that only 1.93% of the error of prediction was associated with the slope and most of the error was explained by the random component indicating small biases with the predictions. The proposed equation accurately and precisely estimated the BW of Pelibuey ewe using HG and therefore is recommended to be used.


Palabras clave


biometric measurements; Pelibuey sheep; body weight prediction;

Texto completo:

PDF (English) PDF Full Text (English)


DOI: https://doi.org/10.22319/rmcp.v10i3.4911

Enlaces refback

  • No hay ningún enlace refback.


Bookmark and Share


Copyright (c) 2019

Licencia de Creative Commons
Este obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional.