EVALUATION OF A PREDICTION EQUATION OF BODY WEIGHT BASED ON BODY CONDITION SCORE IN PELIBUEY EWES

E. Mendoza-Domínguez, N. F. Ojeda-Robertos, E. R. Salazar-Cuytun, U. Macias-Cruz, Alfonso Juventino Chay Canul, A. J Aguilar-Caballero, S. Medina-Peralta, L. Vargas-Villamil

Abstract


The use of body condition score (BCS), as a tool for monitoring the energy balance and body reserves of sheep, involves establishing the relationship between BCSC and body weight (BW). The objective of the study was to evaluate a prediction equation for BW of non-pregnant and non-lactating Pelibuey ewes, which was developed using a data set composed by 303 2-3-year-old, non-pregnant and non-lactating Pelibuey ewes with a mean BW of 44.71± 9.98 kg and BCS (BW= 22.47 + 6.90 * BCS). The evaluation of the equation was assessed with the Model Evaluation Systems using an independent data set of BW (37.38±7.71 kg), and BCS (2.2±1.10 units) obtained from 52 non-pregnant and non-lactating Pelibuey ewes. The linear regression analysis between BW values observed and predicted showed that the intercept did not differ from zero (0.311, P = 0.91) and the slope did not differ from one (0.984, P = 0.83). The model proved accurate, the point (0, 1) is within the ellipse; the point F was not significant (P = 0.3477). The equation presented a mean precision (R2 = 0.7924) and a good accuracy (bias correction factor, Cb = 0.99). The modeling efficiency (MEF = 0.7911) indicated a relatively high value of concordance between the observed and predicted values. The concordance correlation coefficient between both values was 0.89. The RMSEP (root mean square error prediction) accounted for 9.27% from BW observed. The predictive model presented a good precision and accuracy to estimate BW of non-pregnant and non-lactating Pelibuey ewes with PV ranges from 26.3 to 75.0 kg reared under production systems of the humid tropic. In addition, the model suggests that 6.90 ±0.32 kg of BW is required to increase BCS in one unit in this type of Pelibuey ewes.

Keywords


Mathematical models; hair ewes; predictive equation

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URN: http://www.revista.ccba.uady.mx/urn:ISSN:1870-0462-tsaes.v22i1.2740

DOI: http://dx.doi.org/10.56369/tsaes.2740



Copyright (c) 2019 Alfonso Juventino Chay Canul

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