Evaluation of Traits in the U.S.D.A. Yield Grade Equation for Predicting Beef Carcass Cutability in Breed Groups Differing in Growth and Fattening Characteristics

Crouse, J. D.; Dikeman, Michael E.; Koch, R. M.; Murphey, C. E.

doi:10.2527/jas1975.412548x

Cited by 43 publications

(27 citation statements)

References 6 publications

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“…Crouse et al (1975) indicaram que a medida da área do músculo pode ser útil para explicar a variação na quantidade de carne na carcaça. Cross et al (1973) afirmaram que a área de músculo pode ser mais preditiva em determinados grupos de carcaças que apresentem uma pequena variabilidade no grau de acabamento, enquanto May et al (2000) concluíram que a variável AOLUS é significativa em equações desenvolvidas, com medidas no animal vivo, para predição do peso dos cortes comerciais.…”

Section: Resultsunclassified

Comparação entre medidas ultra-sônicas e da carcaça na predição da composição corporal em bovinos: estimativas do peso e da porcentagem dos cortes comerciais do traseiro

Tarouco¹,

Lobato

Tarouco³

et al. 2007

R. Bras. Zootec.

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Correspondências devem ser enviadas para: tarouco@usp.com.br RESUMO -Foram utilizados 102 animais para desenvolver equações de predição a fim de estimar a composição do corte traseiro da carcaça bovina a partir de medidas ultra-sônicas obtidas no animal vivo e comparar estas equações às desenvolvidas a partir de medidas na carcaça. As equações de predição foram desenvolvidas utilizando-se o procedimento estatístico de seleção Results indicate that composition predictions equations developed from live animals and ultrasound measurements can be useful to estimate yield hind-quarter retail product. Revista Brasileira de Zootecnia

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Section: Resultsunclassified

Comparação entre medidas ultra-sônicas e da carcaça na predição da composição corporal em bovinos: estimativas do peso e da porcentagem dos cortes comerciais do traseiro

Tarouco¹,

Lobato

Tarouco³

et al. 2007

R. Bras. Zootec.

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“…Kempster et al (1986) using both visual assessment and measurements of fat, examined the robustness of prediction equations by applying them to independent sets of data (a total of 334 carcasses) from four trials involving steers, heifers, cows and young bulls and found that equations were stable for cattle of the same breed, gender and similar level of fatness, but important biases were obtained between more extreme types of cattle. In contrast, Crouse et al (1975) examining various prediction equations from different studies using USDA grading concluded that the use of a single prediction equation for all genotype groups would rank animals well within a breed group but on average would under-or overestimate animals of a breed group by up to 1% relative to its actual carcass cutability.…”

Section: Discussionmentioning

confidence: 97%

Predicting beef carcass meat, fat and bone proportions from carcass conformation and fat scores or hindquarter dissection

Conroy

Drennan

McGee

et al. 2010

Animal

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Equations for predicting the meat, fat and bone proportions in beef carcasses using the European Union carcass classification scores for conformation and fatness, and hindquarter composition were developed and their accuracy was tested using data from 662 cattle. The animals included bulls, steers and heifers, and comprised of Holstein-Friesian, early-and late-maturing breeds 3 HolsteinFriesian, early-maturing 3 early-maturing, late-maturing 3 early-maturing and genotypes with 0.75 or greater late-maturing ancestry. Bulls, heifers and steers were slaughtered at 15, 20 and 24 months of age, respectively. The diet offered before slaughter includes grass silage only, grass or maize silage plus supplementary concentrates, or concentrates offered ad libitum plus 1 kg of roughage dry matter per head daily. Following the slaughter, carcasses were classified mechanically for conformation and fatness (scale 1 to 15), and the right side of each carcass was dissected into meat, fat and bone. Carcass conformation score ranged from 4.7 to 14.4, 5.4 to 10.9 and 2.0 to 12.0 for bulls, heifers and steers, respectively; the corresponding ranges for fat score were 2.7 to 11.5, 3.2 to 11.3 and 2.8 to 13.3. Prediction equations for carcass meat, fat and bone proportions were developed using multiple regression, with carcass conformation and fat score both included as continuous independent variables. In a separate series of analyses, the independent variable in the model was the proportion of the trait under investigation (meat, fat or bone) in the hindquarter. In both analyses, interactions between the independent variables and gender were tested. The predictive ability of the developed equations was assed using cross-validation on all 662 animals. Carcass classification scores accounted for 0.73, 0.67 and 0.71 of the total variation in carcass meat, fat and bone proportions, respectively, across all 662 animals. The corresponding values using hindquarter meat, fat and bone in the model were 0.93, 0.87 and 0.89, respectively. The bias of the prediction equations when applied across all animals was not different from zero, but bias did exist among some of the genotypes of animals present. In conclusion, carcass classification scores and hindquarter composition are accurate and efficient predictors of carcass meat, fat and bone proportions.

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“…(1) Número de observaciones: 24; DE: desviación estándar; CV: coeficiente de variación (%); (2) Trabajos realizados en vacunos (Crouse et al, 1975;Abraham et al, 1980;Hopkins & Roberts, 1995;Atencio, 2001) señalan al PCANAL como una variable de poca fuerza predictiva para el RCD, resultando aún menor en búfalos (Huerta et al, 1997). En vacunos, algunos autores (Huerta-Leidenz & Morón-Fuenmayor, 1996;Atencio, 2001) reportaron que la proporción de grasa interna de la canal explicaba más de 40% de la variación del RCD.…”

Section: Resultados Y Discusiónunclassified

“…Estos resultados también sustentan los de Apple et al (1991), Crouse & Dikeman (1976), quienes trabajaron con novillos, y coinciden en que la muscularidad o conformación del tren posterior, aun estando correlacionada significativamente, tuvo un coeficiente de poca magnitud con el RCD.…”

Section: Resultados Y Discusiónunclassified

Predicción del rendimiento en cortes, hueso y grasa en búfalos de agua en Venezuela

Atencio-Valladares

Huerta-Leidenz

Rodas‐González

et al. 2007

Pesq. agropec. bras.

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Los objetivos de este estudio fueron determinar la asociación entre rasgos de la canal y el rendimiento en cortes (RCD), rendimiento en hueso y recortes de grasa en búfalos de agua, y desarrollar ecuaciones predictivas para cada variable mencionada. Se utilizaron 48 búfalos de agua (24 castrados y 24 enteros), sacrificados a los 17, 19 y 24 meses de edad con mestizaje de razas Murrah y Mediterránea. Se evaluaron las variables de la canal y del rendimiento en cortes. Se realizaron: pruebas descriptivas, análisis de correlación, residuos y de regresión lineal múltiple. En los castrados, el acabado de grasa y la circunferencia del muslo explicaron la mayor variación en RCD. El espesor de grasa y el porcentaje de grasa renal fueron las variables mayormente asociadas con el rendimiento en hueso. En los enteros, el acabado de grasa y la longitud de la canal explicaron la mayor variación en RCD. El recorte de grasa se asoció más con acabado de grasa, y el rendimiento en hueso se asoció con la conformación. Las ecuaciones obtenidas lograron explicar más del 50% de la variación del RCD. Las ecuaciones para recorte de grasa y rendimiento en hueso tuvieron mayor fuerza predictiva.

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Evaluation of Traits in the U.S.D.A. Yield Grade Equation for Predicting Beef Carcass Cutability in Breed Groups Differing in Growth and Fattening Characteristics

Cited by 43 publications

References 6 publications

Comparação entre medidas ultra-sônicas e da carcaça na predição da composição corporal em bovinos: estimativas do peso e da porcentagem dos cortes comerciais do traseiro

Comparação entre medidas ultra-sônicas e da carcaça na predição da composição corporal em bovinos: estimativas do peso e da porcentagem dos cortes comerciais do traseiro

Predicting beef carcass meat, fat and bone proportions from carcass conformation and fat scores or hindquarter dissection

Predicción del rendimiento en cortes, hueso y grasa en búfalos de agua en Venezuela

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