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 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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Main Authors: Walugembe, M., Nadiope, G., Stock, J.D., Stalder, K.J., Pezo, Danilo A., Rothschild, Max F.
Format: Journal Article biblioteca
Language:English
Published: 2014-05-09
Subjects:swine,
Online Access:https://hdl.handle.net/10568/35632
http://www.lrrd.org/lrrd26/5/walu26096.htm
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spelling dig-cgspace-10568-356322023-02-15T10:11:53Z 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 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. https://hdl.handle.net/10568/35632 http://www.lrrd.org/lrrd26/5/walu26096.htm en Open Access Livestock Research for Rural Development
institution CGIAR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cgspace
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CGIAR
language English
topic swine
swine
spellingShingle swine
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
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.
format Journal Article
topic_facet swine
author Walugembe, M.
Nadiope, G.
Stock, J.D.
Stalder, K.J.
Pezo, Danilo A.
Rothschild, Max F.
author_facet Walugembe, M.
Nadiope, G.
Stock, J.D.
Stalder, K.J.
Pezo, Danilo A.
Rothschild, Max F.
author_sort Walugembe, M.
title 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_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_sort prediction of live body weight using various body measurements in ugandan village pigs
publishDate 2014-05-09
url https://hdl.handle.net/10568/35632
http://www.lrrd.org/lrrd26/5/walu26096.htm
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