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...
Main Authors: | , , , , |
---|---|
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 |