Prediction of live body weight using various body measurements in Ugandan village pigs

A study to develop body weight prediction equations based on various body measurements was conducted in rural Kamuli district, Uganda. Body weight (kg) and body measurement data (cm) were collected from 411 pigs between 15 and 127 kg from both local and exotic (mainly crossbreds) pigs. Five body mea...

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Autores principales: Walugembe, M., Nadiope, G., Stock, J.D., Stalder, K.J., Pezo, Danilo A., Rothschild, Max F.
Formato: Journal Article
Lenguaje:Inglés
Publicado: 2014
Materias:
Acceso en línea:https://hdl.handle.net/10568/35632
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author Walugembe, M.
Nadiope, G.
Stock, J.D.
Stalder, K.J.
Pezo, Danilo A.
Rothschild, Max F.
author_browse Nadiope, G.
Pezo, Danilo A.
Rothschild, Max F.
Stalder, K.J.
Stock, J.D.
Walugembe, M.
author_facet Walugembe, M.
Nadiope, G.
Stock, J.D.
Stalder, K.J.
Pezo, Danilo A.
Rothschild, Max F.
author_sort Walugembe, M.
collection Repository of Agricultural Research Outputs (CGSpace)
description A study to develop body weight prediction equations based on various body measurements was conducted in rural Kamuli district, Uganda. Body weight (kg) and body measurement data (cm) were collected from 411 pigs between 15 and 127 kg from both local and exotic (mainly crossbreds) pigs. Five body measurements; body length, heart girth, height, body width and flank-to-flank were taken from each pig. Prediction models were developed by regressing weight on pig body measurements. The models were developed for pigs categorized as < 40kg, ≥ 40 kg and an overall single prediction model. Mean weights of < 40 kg and ≥ 40 kg were 27 ± 6.5 kg and 63 ± 19.6 kg, respectively. Body length and heart girth were used to predict (R2 = 0.89) weight for the < 40 kg pigs with the prediction equation; Weight = -41.814 + 0.296 (body length) + 0.654 (heart girth). Four body measurements; body length, heart girth, height and body width were strongly predictive (R2 = 0.92) of live body weight for the ≥ 40 kg pigs with the prediction equation; Weight = -108.198 + 0.228 (body length) + 1.094 (heart girth) + 0.267 (height) + 0.922 (body width). The flank-to-flank measurement did not affect model prediction (p > 0.05) and quadratic terms also did not improve accuracy and were not included in any prediction models. These results suggest that live weight could be accurately estimated using two or more pig body measurements. It was concluded that this weight estimation tool would empower Ugandan small scale pig farmers by providing them with an accurate estimate for the animal’s live weight and giving them better bargaining power when selling their pigs.
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spelling CGSpace356322023-02-15T10:11:53Z Prediction of live body weight using various body measurements in Ugandan village pigs Walugembe, M. Nadiope, G. Stock, J.D. Stalder, K.J. Pezo, Danilo A. Rothschild, Max F. swine A study to develop body weight prediction equations based on various body measurements was conducted in rural Kamuli district, Uganda. Body weight (kg) and body measurement data (cm) were collected from 411 pigs between 15 and 127 kg from both local and exotic (mainly crossbreds) pigs. Five body measurements; body length, heart girth, height, body width and flank-to-flank were taken from each pig. Prediction models were developed by regressing weight on pig body measurements. The models were developed for pigs categorized as < 40kg, ≥ 40 kg and an overall single prediction model. Mean weights of < 40 kg and ≥ 40 kg were 27 ± 6.5 kg and 63 ± 19.6 kg, respectively. Body length and heart girth were used to predict (R2 = 0.89) weight for the < 40 kg pigs with the prediction equation; Weight = -41.814 + 0.296 (body length) + 0.654 (heart girth). Four body measurements; body length, heart girth, height and body width were strongly predictive (R2 = 0.92) of live body weight for the ≥ 40 kg pigs with the prediction equation; Weight = -108.198 + 0.228 (body length) + 1.094 (heart girth) + 0.267 (height) + 0.922 (body width). The flank-to-flank measurement did not affect model prediction (p > 0.05) and quadratic terms also did not improve accuracy and were not included in any prediction models. These results suggest that live weight could be accurately estimated using two or more pig body measurements. It was concluded that this weight estimation tool would empower Ugandan small scale pig farmers by providing them with an accurate estimate for the animal’s live weight and giving them better bargaining power when selling their pigs. 2014-05-09 2014-05-13T18:02:01Z 2014-05-13T18:02:01Z Journal Article https://hdl.handle.net/10568/35632 en Open Access Walugembe, M., Nadiope, G., Stock, J.D., Stalder, K.J., Pezo, D. and Rothschild, M.F. 2014. Prediction of live body weight using various body measurements in Ugandan village pigs. Livestock Research for Rural Development 26(5). Article #96.
spellingShingle swine
Walugembe, M.
Nadiope, G.
Stock, J.D.
Stalder, K.J.
Pezo, Danilo A.
Rothschild, Max F.
Prediction of live body weight using various body measurements in Ugandan village pigs
title Prediction of live body weight using various body measurements in Ugandan village pigs
title_full Prediction of live body weight using various body measurements in Ugandan village pigs
title_fullStr Prediction of live body weight using various body measurements in Ugandan village pigs
title_full_unstemmed Prediction of live body weight using various body measurements in Ugandan village pigs
title_short Prediction of live body weight using various body measurements in Ugandan village pigs
title_sort prediction of live body weight using various body measurements in ugandan village pigs
topic swine
url https://hdl.handle.net/10568/35632
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