RESUMO
Data from 292 hot fat trimmed carcasses derived from Costa Rican cattle were used to predict yield of fabricated boneless, closely-trimmed, high-valued cuts (BVS, by weight and percentage); yield of total saleable product (TSP, by weight and percentage); and percentage yields of bone and trim fat. Backfat thickness was not significantly associated with weight of BVS or TSP. Carcass weight explained 93.7% and 95.9% of the total variation in weight of BVS and TSP, respectively. Equations for predicting percentage yields of BVS and TSP showed little predictive efficacy. Conversely, the greater precision of the equations selected to predict the quantity (kg) of BVS or TSP, offers a practical alternative of using them in hot fat trimmed carcasses.
Assuntos
Adiposidade , Desenvolvimento Ósseo , Produtos da Carne/análise , Indústria de Embalagem de Carne/métodos , Carne/análise , Modelos Biológicos , Desenvolvimento Muscular , Matadouros , Algoritmos , Animais , Peso Corporal , Bovinos , Costa Rica , Feminino , Inspeção de Alimentos/métodos , Armazenamento de Alimentos , Masculino , Distribuição Normal , Refrigeração , Análise de Regressão , Reprodutibilidade dos Testes , Terminologia como AssuntoRESUMO
Datos de cortes obtenidos de ganado bovino (hasta 1197 observaciones) fueron utilizados para desarrollar ecuaciones de predicción del rendimiento en cortes de valor (RCD), Porcentaje de hueso (PHUESO) y recortes de grasa (PGRASA). La condición sexual (CONSEXUAL) explicó el 43 por ciento y 30 por ciento de la variación en RCD y PGRASA, respectivamente. La mayor parte de la variación (>50 por ciento) en RCD, PHUESO y PGRASA no pudo ser explicada por su regresión lineal simple sobre cualquiera de los 13 rasgos de la canal considerados. Las variables incluidas para el análisis de regresión fueron CONSEXUAL, peso en canal (PCANAL), espesor de grasa dorsal (ESPEGRASA), área del ojo del lomo (AOL), porcentaje de grasa interna (GPR), acabado y conformacion. Las mejores ecuaciones fueron: RCD por ciento: 47,564 +2,281(CONSEXUAL) +0,003(PCANAL) -0,302(ESPEGRASA) +0,211(AOL) -1,237(GPR) +0,219(ACABADO) 0,659(CONFORMACION) (R2: +0,629; Cp-Mallows:8); PHUESO: por ciento 17,077 0,749(CONSEXUAL) 0,005(PCANAL) -0,097(ESPEGRASA) -0,064(AOL) -0,402(GPR) +0,2(ACABADO) +0,272 (CONFORMACION) (R2: 0,387; Cp-Mallows: 8); PGRASA por ciento: 9,628 +0,345(ESPEGRASA) -0,162(AOL) +1,733(GPR) -0,725(ACABADO) 0,134(CONFORMACIÓN) (R2: 0,80; Cp-Mallows: 5,74). Es necesario, en futuras experiencias validar las ecuaciones obtenidas antes de su recomendación y uso comercial.
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.