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1.
Animals (Basel) ; 13(12)2023 Jun 14.
Artigo em Inglês | MEDLINE | ID: mdl-37370488

RESUMO

The aim of this study was to describe the morphology and estimate live weight from body measurements of Socorro Island Merino lambs. A group of Socorro Island Merino lambs was recorded from birth to year for live weight, rump width, rump length, withers height, body length, cannon bone perimeter, and chest girth, width, and depth. The effect of the lamb type on body measurements and live weight was analyzed using ANOVA, Pearson's correlation analysis was performed to estimate the relationship between body measurements and live weight, multiple linear regressions were fitted to obtain prediction equations of live weight from the body measurements and finally, chest girth was used to generate prediction equations using linear and exponential models. At birth and at year, differences were observed in body measurements, especially those related to the thoracic region, with crossbred males showing the highest values. Live weight was correlated with almost all the body measurements, with the highest coefficients observed with chest girth, chest width, and chest depth. Live weight can be accurately predicted from multiple regression equations using several body measurements, but using only chest girth (CG) as a predictor, the exponential equation W0-365 = 0.9142 exp(0.0462 CG) showed the best accuracy.

2.
Trop Anim Health Prod ; 53(1): 56, 2021 Jan 03.
Artigo em Inglês | MEDLINE | ID: mdl-33389198

RESUMO

The aim of this study was to develop prediction equations for the body weight of Pelibuey ewes from body measurements comparing linear vs nonlinear models. A subsample of 197 ewes was scored for body weight (BW), rump length (RL), rump width (RW), height at withers (HW), chest girth (CG), chest width (CW), chest depth (CD), cannon bone perimeter (CP), and body length (BL). Pearson's correlation analysis was performed on a sub-data set from 197 ewes to estimate the relationship between body weight and body measurements. Multiple linear regressions were fitted to obtain prediction equations of body weight from the eight body measurements, and prediction equations were obtained from the body measurement that showed the highest correlation with body weight using five nonlinear models allometric, saturation growth, exponential, and incomplete gamma. Data from an independent subsample of 196 ewes was used to validate the equation with the best goodness of fit using linear regression analysis. CG was the body measurement that showed the highest correlation with BW, and based on multiple stepwise regression, in the equation BW = - 60.622 + 1.233CG explained 79% of the body weight variation. Moreover, BW prediction was more accurate when other measurements such CW, BL, and RW were added to the model generating to the equation BW = - 68.875 + 0.845CG + 0.866CW + 0.195BL + 0.601RW (R2 = 0.85, MSE = 15.51). In the case of nonlinear models, incomplete gamma and exponential models generated the equations with the best goodness of fit and precision: BW = 0.077CG1.108exp(0.016CG) (R2 = 0.82, MSE = 18.64) and BW = 3.5759exp(0.0292CG) (R2 = 0.82, MSE = 18.65) respectively.


Assuntos
Peso Corporal , Ovinos , Animais , Feminino , Modelos Lineares , Análise de Regressão
3.
Vet. Zoot. ; 25(2/4)set. 2018. tab
Artigo em Português | VETINDEX | ID: vti-741724

RESUMO

Este estudio tuvo como objetivo evaluar la predicción del peso corporal de ovinos de la raza Texel, mediante regresión lineal y no lineal basado en las medidas del cuerpo de la circunferencia del pecho, longitud del cuerpo, cruz de la altura y la circunferencia escrotal, y para describir el comportamiento de crecimiento de las medidas en relación con el peso. Se utilizaron datos de 200 animales de Texel. Los datos fueron recolectados por técnicos capacitados para exposiciones agrícolas que tuvieron lugar en el estado de Paraná entre 2009 y 2014. Los datos para los machos y las hembras se analizaron por separado. Se determinó las correlaciones entre los rasgos. Todas estas características se correlacionaron significativamente, con la circunferencia que presenta mayor correlación con el peso corporal (r = 0,93 para los machos y r = 0,90 para las hembras). Entre los modelos estadísticos generados para la predicción de peso, lo que considera la circunferencia de pecho y la altura fueron los más acertados. La longitud del cuerpo no fue satisfactoria en la predicción. Al probar regresión no lineal, se observó que las mediciones biométricas mostraron un crecimiento alométrico negativo en relación con el peso corporal, lo que indica que estas medidas aumentan más rápido que el peso. Las medidas del cuerpo, en particular la circunferencia pueden ser usados como un método alternativo para la obtención de peso animal.(AU)


This study aimed to evaluate the prediction of body weight of Texel sheep, through linear and nonlinear regression, based on body measurements of chest girth, body length, withers height and scrotal circumference, and to describe the growth behavior of the measures in relation to the body weight. Data from 200 Texel sheep were used. Data were collected by trained technicians in agricultural exhibitions that took place in the state of Parana, Brazil between 2009 and 2014. The data for males and females were analyzed separately. It was determined the correlations between the measures and the weight. All these characteristics were significantly correlated, with the chest girth presenting the greater correlation with body weight (r = 0.93 for males and r = 0.90 for females). Among the statistical models generated for the prediction of body weight, the models which considered the chest girth and withers height were the most accurate. Body length was not satisfactory in the prediction. In the nonlinear regressions, it was observed that the biometric measures showed negative allometric growth in relation to body weight, indicating that these measures increase faster than weight. The body measurements, particularly the chest girth can be used as an alternative method for obtaining the animal body weight.(AU)


Objetivou-se avaliar a predição do peso corporal de ovinos da raça Texel, por meio de regressões lineares e não-lineares com base nas medidas corporais de perímetro torácico, comprimento corporal, altura de cernelha e circunferência escrotal, bem como descrever o comportamento do crescimento das medidas em relação ao peso. Foram utilizados dados de 200 animais da raça Texel. Os dados foram coletados por técnicos treinados durante exposições agropecuárias que ocorreram no estado do Paraná entre os anos de 2009 e 2014. Os dados de machos e fêmeas foram analisados separadamente. Determinou-se as correlações entre as características estudadas. Todas as características foram significativamente correlacionadas, com o perímetro torácico apresentando maior correlação com o peso corporal (r=0,93 para machos e r=0,90 para fêmeas). Dentre os modelos estatísticos gerados para a predição do peso, os que consideraram o perímetro torácico e altura foram os mais precisos. O comprimento corporal não foi satisfatório na predição. Ao se testar as regressões não-lineares, foi observado que as medidas biométricas apresentaram crescimento alométrico negativo em relação ao peso corporal, indicando que essas medidas aumentam mais rapidamente do que o peso.As medidas corporais, principalmente o perímetro torácico, podem ser usadas como método alternativo para obtenção de peso dos animais.(AU)


Assuntos
Animais , Pesos e Medidas Corporais/estatística & dados numéricos , Pesos e Medidas Corporais/veterinária , Previsões/métodos , Ovinos/anatomia & histologia , Biometria/métodos
4.
Vet. zootec ; 25(2/4)set. 2018. tab
Artigo em Português | VETINDEX | ID: biblio-1503529

RESUMO

Este estudio tuvo como objetivo evaluar la predicción del peso corporal de ovinos de la raza Texel, mediante regresión lineal y no lineal basado en las medidas del cuerpo de la circunferencia del pecho, longitud del cuerpo, cruz de la altura y la circunferencia escrotal, y para describir el comportamiento de crecimiento de las medidas en relación con el peso. Se utilizaron datos de 200 animales de Texel. Los datos fueron recolectados por técnicos capacitados para exposiciones agrícolas que tuvieron lugar en el estado de Paraná entre 2009 y 2014. Los datos para los machos y las hembras se analizaron por separado. Se determinó las correlaciones entre los rasgos. Todas estas características se correlacionaron significativamente, con la circunferencia que presenta mayor correlación con el peso corporal (r = 0,93 para los machos y r = 0,90 para las hembras). Entre los modelos estadísticos generados para la predicción de peso, lo que considera la circunferencia de pecho y la altura fueron los más acertados. La longitud del cuerpo no fue satisfactoria en la predicción. Al probar regresión no lineal, se observó que las mediciones biométricas mostraron un crecimiento alométrico negativo en relación con el peso corporal, lo que indica que estas medidas aumentan más rápido que el peso. Las medidas del cuerpo, en particular la circunferencia pueden ser usados como un método alternativo para la obtención de peso animal.


This study aimed to evaluate the prediction of body weight of Texel sheep, through linear and nonlinear regression, based on body measurements of chest girth, body length, withers height and scrotal circumference, and to describe the growth behavior of the measures in relation to the body weight. Data from 200 Texel sheep were used. Data were collected by trained technicians in agricultural exhibitions that took place in the state of Parana, Brazil between 2009 and 2014. The data for males and females were analyzed separately. It was determined the correlations between the measures and the weight. All these characteristics were significantly correlated, with the chest girth presenting the greater correlation with body weight (r = 0.93 for males and r = 0.90 for females). Among the statistical models generated for the prediction of body weight, the models which considered the chest girth and withers height were the most accurate. Body length was not satisfactory in the prediction. In the nonlinear regressions, it was observed that the biometric measures showed negative allometric growth in relation to body weight, indicating that these measures increase faster than weight. The body measurements, particularly the chest girth can be used as an alternative method for obtaining the animal body weight.


Objetivou-se avaliar a predição do peso corporal de ovinos da raça Texel, por meio de regressões lineares e não-lineares com base nas medidas corporais de perímetro torácico, comprimento corporal, altura de cernelha e circunferência escrotal, bem como descrever o comportamento do crescimento das medidas em relação ao peso. Foram utilizados dados de 200 animais da raça Texel. Os dados foram coletados por técnicos treinados durante exposições agropecuárias que ocorreram no estado do Paraná entre os anos de 2009 e 2014. Os dados de machos e fêmeas foram analisados separadamente. Determinou-se as correlações entre as características estudadas. Todas as características foram significativamente correlacionadas, com o perímetro torácico apresentando maior correlação com o peso corporal (r=0,93 para machos e r=0,90 para fêmeas). Dentre os modelos estatísticos gerados para a predição do peso, os que consideraram o perímetro torácico e altura foram os mais precisos. O comprimento corporal não foi satisfatório na predição. Ao se testar as regressões não-lineares, foi observado que as medidas biométricas apresentaram crescimento alométrico negativo em relação ao peso corporal, indicando que essas medidas aumentam mais rapidamente do que o peso.As medidas corporais, principalmente o perímetro torácico, podem ser usadas como método alternativo para obtenção de peso dos animais.


Assuntos
Animais , Ovinos/anatomia & histologia , Pesos e Medidas Corporais/estatística & dados numéricos , Pesos e Medidas Corporais/veterinária , Previsões/métodos , Biometria/métodos
6.
B. Indústr. Anim. ; 71: 31-31, 2014.
Artigo em Inglês | VETINDEX | ID: vti-467476

RESUMO

The body weight (BW) determination is important to evaluate the growth of animals, their nutritional condition and reproduction and to establish the slaughter time and the sale value of the animal. The chest girth (CG) could be an alternative to determine the body weight of sheep on properties that do not have scales. The objective of this study was to investigate the feasibility of using chest girth to determine the estimated body weight (EBW). The data file contained 1762 records of body weight (BW) and chest girth (CG) from 426 Santa Ines breed sheep, belonging to eight herds located in Southeastern Brazil. The chest girth was measured using the sternum and the withers as base, passing the tape measure behind the shoulder. Body weights were related to CG values through linear regressions using the software Statistical Analysis Systems (SAS Inst., Inc., Cary, NC). The age classes 1, 2, 3, were defined respectively as: 0 to 12 months; 13 to 22 months; over 34 months. The regression equation used to predict the body weight through chest girth in different age classes was y = b0 + b1x, where y is the dependent variable EBW, x is the independent variable CG, b0 is the intercept, b1 is the slope of the equation that defines the relationship between EBW and CG. The other variables were constant. The regression equations for specific age groups of animals were: Class 1 EBW = -42.201


O artigo não apresenta resumo em português.

7.
Bol. ind. anim. (Impr.) ; 71: 31-31, 2014.
Artigo em Inglês | LILACS-Express | VETINDEX | ID: biblio-1466611

RESUMO

The body weight (BW) determination is important to evaluate the growth of animals, their nutritional condition and reproduction and to establish the slaughter time and the sale value of the animal. The chest girth (CG) could be an alternative to determine the body weight of sheep on properties that do not have scales. The objective of this study was to investigate the feasibility of using chest girth to determine the estimated body weight (EBW). The data file contained 1762 records of body weight (BW) and chest girth (CG) from 426 Santa Ines breed sheep, belonging to eight herds located in Southeastern Brazil. The chest girth was measured using the sternum and the withers as base, passing the tape measure behind the shoulder. Body weights were related to CG values through linear regressions using the software Statistical Analysis Systems (SAS Inst., Inc., Cary, NC). The age classes 1, 2, 3, were defined respectively as: 0 to 12 months; 13 to 22 months; over 34 months. The regression equation used to predict the body weight through chest girth in different age classes was y = b0 + b1x, where y is the dependent variable EBW, x is the independent variable CG, b0 is the intercept, b1 is the slope of the equation that defines the relationship between EBW and CG. The other variables were constant. The regression equations for specific age groups of animals were: Class 1 EBW = -42.201


O artigo não apresenta resumo em português.

9.
Int. j. morphol ; 27(1): 49-52, Mar. 2009. graf, tab
Artigo em Inglês | LILACS | ID: lil-552985

RESUMO

The correlation between chest girth and weight of sheep and goats have been studied as a predictive guide in homestead farms where equipment to definitively quantify the weight of animals are unavailable and inaccessible. The livestock markets in the South Western part of Nigeria are still very underdeveloped and consist of peasant farmers taking their few animals to more developed areas to offer them for better prices to the consumer or middle men who are in the trade to attain the best profit. Twenty each of sheep and goats were randomly selected in herds from three different commercial locations and evaluated using weight and chest girth measurements as indices. Mean weight for the 3 groups of sheep was between 19.8 and 31.15kg, while for the 3 groups of goats was between 19.6 and 16.35kg. There was correlation (0.39-0.80) between sheep chest girth and weight which does not differ from those already established in literature and apredictive index of W= (18.9 +/- 0.36) CG where in more than 80 percent of the population are accounted for and in goats, correlation of 0.40-0.76 and a predictive index of W= (18.51 +/-0.31) CG where more than 76 percent of the population falls in. It was therefore concluded that chest girth is a useful tool in predicting weight of commercial sheep and goat.


La correlación entre la circunferencia de pecho y el peso de las ovejas y cabras ha sido estudiada como una guía de predicción en granjas, donde el equipo para cuantificar el peso de los animales no está disponible o es de difícil acceso. Los mercados de ganado en la parte sur-occidental de Nigeria, siguen siendo aún muy subdesarroliados y constan de campesinos que tienen pocos animales, a diferencia de zonas más desarrolladas, para ofrecer los mejores precios para el consumidor quienes están los comercializan para alcanzar el mejor beneficio. Veinte ovejas y veinte cabras fueron seleccionadas al azar entre los rebaños de tres diferentes localidades comerciales, y fueron evaluadas utilizando el peso y la circunferencia de pecho como los índices de mediciones. La media de peso de los 3 grupos de ovejas fue entre 19,8 y 31,15kg, respectivamente, mientras que para los 3 grupos de cabras fue entre 19,6 y 16,35kg. Hubo correlación (0,39-0,80) entre la circunferencia de pecho de las ovejas y el peso, que no difieren de las ya establecidas en la bibliografía y un índice predictivo de W = (18,9 +/- 0,36) CG en donde más del 80 por ciento de la población se contabilizan y en el ganado caprino, la correlación de 0,40-0,76 y un índice predictivo deW = (18,51 +/- 0,31)CG donde se encuentra más del 76 por ciento de la población. Por lo tanto, se llegó ala conclusión que la circunferencia de pecho es una herramienta útil en la predicción del peso vivo de las ovejas y cabras comerciales.


Assuntos
Pesos e Medidas Corporais , Pesos e Medidas Corporais/veterinária , Tórax/anatomia & histologia , Cabras/anatomia & histologia , Indústria Agropecuária/economia , Nigéria/etnologia , Ovinos/anatomia & histologia
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