Prediction of body weight using body measurements in some sheep and goats in Qatar

ABSTRACTThe study aimed to identify the relationship between body measurements and the weight of sheep and goats. A total of 324 heads of sheep and 261 heads of goats were used. Measuring of body weight (BWt) and body measurements as heart girth (HG), height at wither (HW) and body length (BL) were...

Full description

Bibliographic Details
Main Authors: Muzzamil Atta, Abu-baker S. Ali, Mutasim B. Mohamed, Huda M. Al-Dosari, Hamad S. Al-Shamari
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Journal of Applied Animal Research
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/09712119.2023.2288917
_version_ 1797387913145614336
author Muzzamil Atta
Abu-baker S. Ali
Mutasim B. Mohamed
Huda M. Al-Dosari
Hamad S. Al-Shamari
author_facet Muzzamil Atta
Abu-baker S. Ali
Mutasim B. Mohamed
Huda M. Al-Dosari
Hamad S. Al-Shamari
author_sort Muzzamil Atta
collection DOAJ
description ABSTRACTThe study aimed to identify the relationship between body measurements and the weight of sheep and goats. A total of 324 heads of sheep and 261 heads of goats were used. Measuring of body weight (BWt) and body measurements as heart girth (HG), height at wither (HW) and body length (BL) were taken on both types of animals for 3 successive months. Correlations between body weight and measurements were tested. Linear and non-linear regressions of body weight on the most correlated body measurements were calculated. HG, HW and BL were significantly related to BWt. HG had the largest correlation coefficient. Power regression had the highest coefficient of determination (R2 = 0.91) and lowest error of estimate (SE = 7.42). The power regression model (BWt = 0.0006*HG2.5608) was tested against the actual weight of another animal’s population of 119 heads of goats and 171 heads of sheep using paired t-test analysis. No significant variation was observed between the actual and estimated body weights. The model overestimated weight by 1.5%. It was concluded that body weight could be estimated with a high accuracy using the corrected model BWt (kg) = (0.0006*(HG2.5608))–(1.5*(0.0006*(HG2.5608)/100)).
first_indexed 2024-03-08T22:32:03Z
format Article
id doaj.art-1c1d69279ce7438a9f6c9c69173405f4
institution Directory Open Access Journal
issn 0971-2119
0974-1844
language English
last_indexed 2024-03-08T22:32:03Z
publishDate 2024-12-01
publisher Taylor & Francis Group
record_format Article
series Journal of Applied Animal Research
spelling doaj.art-1c1d69279ce7438a9f6c9c69173405f42023-12-17T21:30:15ZengTaylor & Francis GroupJournal of Applied Animal Research0971-21190974-18442024-12-0152110.1080/09712119.2023.2288917Prediction of body weight using body measurements in some sheep and goats in QatarMuzzamil Atta0Abu-baker S. Ali1Mutasim B. Mohamed2Huda M. Al-Dosari3Hamad S. Al-Shamari4Department of Animal Resources, Ministry of Municipality, Doha, QatarAgricultural Research Department, Ministry of Municipality, Doha, QatarAgricultural Research Department, Ministry of Municipality, Doha, QatarAgricultural Research Department, Ministry of Municipality, Doha, QatarAgricultural Research Department, Ministry of Municipality, Doha, QatarABSTRACTThe study aimed to identify the relationship between body measurements and the weight of sheep and goats. A total of 324 heads of sheep and 261 heads of goats were used. Measuring of body weight (BWt) and body measurements as heart girth (HG), height at wither (HW) and body length (BL) were taken on both types of animals for 3 successive months. Correlations between body weight and measurements were tested. Linear and non-linear regressions of body weight on the most correlated body measurements were calculated. HG, HW and BL were significantly related to BWt. HG had the largest correlation coefficient. Power regression had the highest coefficient of determination (R2 = 0.91) and lowest error of estimate (SE = 7.42). The power regression model (BWt = 0.0006*HG2.5608) was tested against the actual weight of another animal’s population of 119 heads of goats and 171 heads of sheep using paired t-test analysis. No significant variation was observed between the actual and estimated body weights. The model overestimated weight by 1.5%. It was concluded that body weight could be estimated with a high accuracy using the corrected model BWt (kg) = (0.0006*(HG2.5608))–(1.5*(0.0006*(HG2.5608)/100)).https://www.tandfonline.com/doi/10.1080/09712119.2023.2288917Girthlengthmodelnon-linearrelationship
spellingShingle Muzzamil Atta
Abu-baker S. Ali
Mutasim B. Mohamed
Huda M. Al-Dosari
Hamad S. Al-Shamari
Prediction of body weight using body measurements in some sheep and goats in Qatar
Journal of Applied Animal Research
Girth
length
model
non-linear
relationship
title Prediction of body weight using body measurements in some sheep and goats in Qatar
title_full Prediction of body weight using body measurements in some sheep and goats in Qatar
title_fullStr Prediction of body weight using body measurements in some sheep and goats in Qatar
title_full_unstemmed Prediction of body weight using body measurements in some sheep and goats in Qatar
title_short Prediction of body weight using body measurements in some sheep and goats in Qatar
title_sort prediction of body weight using body measurements in some sheep and goats in qatar
topic Girth
length
model
non-linear
relationship
url https://www.tandfonline.com/doi/10.1080/09712119.2023.2288917
work_keys_str_mv AT muzzamilatta predictionofbodyweightusingbodymeasurementsinsomesheepandgoatsinqatar
AT abubakersali predictionofbodyweightusingbodymeasurementsinsomesheepandgoatsinqatar
AT mutasimbmohamed predictionofbodyweightusingbodymeasurementsinsomesheepandgoatsinqatar
AT hudamaldosari predictionofbodyweightusingbodymeasurementsinsomesheepandgoatsinqatar
AT hamadsalshamari predictionofbodyweightusingbodymeasurementsinsomesheepandgoatsinqatar