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Prediction of Body Weight from Linear Body Measurements for Horro Sheep Breeds in Oromia, Ethiopia

Received: 25 July 2021     Accepted: 9 September 2021     Published: 29 September 2021
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Abstract

The study was carried out in Bako Agricultural Research Center’s sheep farm and Horro district to determine the relationship between live weight and linear measurements and predict live weight from morphometric traits and morphometric measurements from 1589 Horro sheep (1131 female and 456 male) were used to determine relationships between body weight and linear body measurements. Accordingly, Body weight, Body length, Height at wither, Chest girth, Chest width, Rump length and Pelvic width measurements were recorded for each animal. Correlation and regression analysis between body weight and the linear body measurements were conducted independently for male and female within the different age categories defined using dentition. In most of the analyses, there was a significantly (p<0.001) higher correlation between body weight and the linear body measurements. Chest girth has showed the most higher and consistent correlation with body weight in both sex and the different age categories. Based on the correlation results chest girth was primarily used to fit the equation for prediction of body weight in stepwise regression. Thus, the general equations developed from the regression analyses were based only on sex rather than for different age categories. As a result the equations BW= -24.24 + 0.68CG for male Horro sheep, and BW= -29.03 + 0.75CG for female Horro sheep can accurately predict body weight of the breed at any age.

Published in International Journal of Genetics and Genomics (Volume 9, Issue 3)
DOI 10.11648/j.ijgg.20210903.13
Page(s) 56-60
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Body Weight, Chest Girth, Horro Sheep, Morphometric Measurements

References
[1] Adeyinka, I. A. and Mohammed, I. D. 2006. Relationship of live weight and linear body measurement in two breeds of northern Nigeria. Journal of Animal and veterinary advances. 5: 891-893.
[2] Adedeji, O. S. and Gbadamosi, A. J. (1999). Relationship of scrotal circumference of Age, Body weight and the right and left scrotal length in Red Sokoto (Maradi) goats. Proceeding of 26th Annual Nigerian Society of Animal Production (NSAP) Conference 21-25 March 1999: Ilorin, Nigeria. P. 305-309.
[3] Afolayan, R. A., I. A. Adeyinka and C. A. M. Lakpini (2006). The estimation of live weight from body measurements in Yankasa sheep. Czech J. Anim. Sci. 51: 343-348.
[4] Alemayehu T, Tikabo G (2010). Application of Linear Body Measurements for Live Body Weight Estimation of Highland Sheep in Tigray Region, North-Ethiopia. J. Dry Lands 3 (2): 203-207.
[5] Belay D, Dereje B, Kifle D, Tesfaye G and Solomon G. 2018. Predicting Body Weight of Three Ethiopian Thin-Tailed Sheep Breeds from Linear Body Measurements. Available from: https://www.researchgate.net/publication/
[6] Edea, Z., Haile, A., Tibbo, M., Sharma, A. K., Sölkner J., and Wurzinger, M. 2009. Relationship of Live Body Weight and Other Linear Body Measurements in Two Sheep Breeds of Ethiopia. In: Proceedings of the 17th Annual conference of the Ethiopian Society of Animal Production (ESAP) held in Addis Ababa, Ethiopia, September 24 to 26, 2009. ESAP, Addis Ababa. Pp 105-112.
[7] ESGPIP (Ethiopian Sheep and Goat Productivity Improvement Project) (2009): Estimation of weight and age of sheep and goats. Technical Bulletin No. 23 May, 2009.
[8] Kunene, N. W., A. E. Nesamvuni and I. V. Nsahlai (2009). Determination of predict equations for estimating body weight of Zulu (Nguni) sheep. Small Rum. Res. 84: 41-46.
[9] Pesmen, G. and M. Yardımcı (2008). Estimating the live weight using some body measurements in Saanen goats. Archiva Zootechnica. 11 (4): 30-40.
[10] Tesfaye Getachew, A. Haile, M. Tibbo, A. K. Sharmad, J. Sölknere, M. Wurzingere, f E. Terefe. 2009. Use of linear body measurements for performance recording and genetic evaluation of Menz and Afar sheep breeds under village condition. In: Proceedings of the 17th Annual conference of the Ethiopian Society of Animal Production (ESAP) held in Addis Ababa, Ethiopia, September 24 to 26, 2009. ESAP, Addis Ababa. Pp 113-121.
[11] Thiruvenkadan, A. K, 2005. Determination of best-fitted regression model for estimation of body weight in Kanni Adu Kids under farmer’s management system. Livestock research for Rural Development. 17: 1- 11.
[12] Weldeyesus G, Yayneshet T (2016). Morphological Characterization of Indigenous Highland Sheep Population of Tigray, Northern Ethiopia. J. Nat. Sci. Res. 6 (3): 64-72.
[13] Yakubu, A. (2009). Fixing collinearity instability in the estimation of body weight from morph biometrical traits of West African dwarf goats. Trakia J. Sci. 7: 61-66.
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  • APA Style

    Dereje Bekele, Tesfaye Tadesse. (2021). Prediction of Body Weight from Linear Body Measurements for Horro Sheep Breeds in Oromia, Ethiopia. International Journal of Genetics and Genomics, 9(3), 56-60. https://doi.org/10.11648/j.ijgg.20210903.13

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    ACS Style

    Dereje Bekele; Tesfaye Tadesse. Prediction of Body Weight from Linear Body Measurements for Horro Sheep Breeds in Oromia, Ethiopia. Int. J. Genet. Genomics 2021, 9(3), 56-60. doi: 10.11648/j.ijgg.20210903.13

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    AMA Style

    Dereje Bekele, Tesfaye Tadesse. Prediction of Body Weight from Linear Body Measurements for Horro Sheep Breeds in Oromia, Ethiopia. Int J Genet Genomics. 2021;9(3):56-60. doi: 10.11648/j.ijgg.20210903.13

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  • @article{10.11648/j.ijgg.20210903.13,
      author = {Dereje Bekele and Tesfaye Tadesse},
      title = {Prediction of Body Weight from Linear Body Measurements for Horro Sheep Breeds in Oromia, Ethiopia},
      journal = {International Journal of Genetics and Genomics},
      volume = {9},
      number = {3},
      pages = {56-60},
      doi = {10.11648/j.ijgg.20210903.13},
      url = {https://doi.org/10.11648/j.ijgg.20210903.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijgg.20210903.13},
      abstract = {The study was carried out in Bako Agricultural Research Center’s sheep farm and Horro district to determine the relationship between live weight and linear measurements and predict live weight from morphometric traits and morphometric measurements from 1589 Horro sheep (1131 female and 456 male) were used to determine relationships between body weight and linear body measurements. Accordingly, Body weight, Body length, Height at wither, Chest girth, Chest width, Rump length and Pelvic width measurements were recorded for each animal. Correlation and regression analysis between body weight and the linear body measurements were conducted independently for male and female within the different age categories defined using dentition. In most of the analyses, there was a significantly (p<0.001) higher correlation between body weight and the linear body measurements. Chest girth has showed the most higher and consistent correlation with body weight in both sex and the different age categories. Based on the correlation results chest girth was primarily used to fit the equation for prediction of body weight in stepwise regression. Thus, the general equations developed from the regression analyses were based only on sex rather than for different age categories. As a result the equations BW= -24.24 + 0.68CG for male Horro sheep, and BW= -29.03 + 0.75CG for female Horro sheep can accurately predict body weight of the breed at any age.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Prediction of Body Weight from Linear Body Measurements for Horro Sheep Breeds in Oromia, Ethiopia
    AU  - Dereje Bekele
    AU  - Tesfaye Tadesse
    Y1  - 2021/09/29
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ijgg.20210903.13
    DO  - 10.11648/j.ijgg.20210903.13
    T2  - International Journal of Genetics and Genomics
    JF  - International Journal of Genetics and Genomics
    JO  - International Journal of Genetics and Genomics
    SP  - 56
    EP  - 60
    PB  - Science Publishing Group
    SN  - 2376-7359
    UR  - https://doi.org/10.11648/j.ijgg.20210903.13
    AB  - The study was carried out in Bako Agricultural Research Center’s sheep farm and Horro district to determine the relationship between live weight and linear measurements and predict live weight from morphometric traits and morphometric measurements from 1589 Horro sheep (1131 female and 456 male) were used to determine relationships between body weight and linear body measurements. Accordingly, Body weight, Body length, Height at wither, Chest girth, Chest width, Rump length and Pelvic width measurements were recorded for each animal. Correlation and regression analysis between body weight and the linear body measurements were conducted independently for male and female within the different age categories defined using dentition. In most of the analyses, there was a significantly (p<0.001) higher correlation between body weight and the linear body measurements. Chest girth has showed the most higher and consistent correlation with body weight in both sex and the different age categories. Based on the correlation results chest girth was primarily used to fit the equation for prediction of body weight in stepwise regression. Thus, the general equations developed from the regression analyses were based only on sex rather than for different age categories. As a result the equations BW= -24.24 + 0.68CG for male Horro sheep, and BW= -29.03 + 0.75CG for female Horro sheep can accurately predict body weight of the breed at any age.
    VL  - 9
    IS  - 3
    ER  - 

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Author Information
  • Oromia Agricultural Research Institute, Bako Agricultural Research Center, West Shoa, Ethiopia

  • Oromia Agricultural Research Institute, Bako Agricultural Research Center, West Shoa, Ethiopia

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