Resumen

ATENCIO-VALLADARES, Oscar; HUERTA-LEIDENZ N, Nelson  y  JEREZ-TIMAURE N, Nancy. Predicting beef carcass cutability in Venezuelan cattle. Rev. Cient. (Maracaibo) [online]. 2008, vol.18, n.6, pp.704-714. ISSN 0798-2259.

Carcass fabrication yield (%) data (up to 1197) of Venezuelan cattle were collected to develop prediction equations of boneless, closely trimmed cuts (high plus medium-valued) (YCV), bone percentage (PBONE), and fat trimmings (PFAT). The sex condition (SEXCON) explained 43% and 30% of the variation on YCV and PFAT, respectively. The majority of the variation (50% or more) on YCV, PBONE, and PFAT could not be explained by its simple linear regression over any of the 13 carcass traits considered. The variates included for the regression analysis were SEXCON, Carcass Weight (CWEIGHT), Back Fat Thickness (BACKFAT), Loineye Area (LEA), Internal Fat Percentage (IFP), FINISH and CONFORMATION. The best equations were: YCV%: 47.564 +2.281(SEXCON) +0.003 (CWEIGHT) -0.302( BACKFAT) +0.211(LEA) -1.237(IFP) +0.219 (FINISH) -0.659 (CONFORMATION) (R²: 0.629; Mallow´s-Cp: 8); PBONE: %17.077 -0.749(SEXCON) -0.005 (CWEIGHT) -0.097(BACKFAT) -0.064(LEA) -0.402(IFP) +0.2 (FINISH) +0.272(CONFORMATION) (R²: 0.387; Mallow´s-Cp: 8); PFAT%: 9.628 +0.345(BACKFAT) -0.162(LEA) +1.733(IFP) -0.725(FINISH) -0.134(CONFORMATION) (R²: 0.80; Mallow´s-Cp: 5.74). The equation set presented here in must be subjected to practical and statistical validation.

Palabras clave : Bovine; carcass; retail cut yield; prediction.