Yankasa sheep play a vital role in food security and the livelihood of smallholder farmers. This study aimed to evaluate the relationship amongst body measurements. A total of 126 extensively reared Yankasa rams, between 15.5 – 28.3 months of age, were randomly selected for the study. Data on body measurements were collected and subjected to correlation, principal component (PC), and step-wise multiple regression analyses. We found that mean body measures ranged from 11.2cm for scrotal circumference (SC) to 71.9cm for chest girth (CG), and the coefficient of variation ranged from 10.7%for height at withers (HW) to 30.3%forBW. All body measures, except ear length, were significantly (P<0.01) associated with BW. All body measures, except ear length, were significantly (P<0.01) associated with BW. Of all body measures, CG, rump width (RW), and neck circumference (NC) were the most associated with BW, with correlation coefficients of 0.83, 0.8, and 0.79, respectively, while neck length, ear width, and tail length were the least associated with correlation coefficients of 0.21, 0.33, and 0.46. Three principal components from the factor analysis of body measurements explained about 64% of the total variance. Regression models using original morphometric traits as predictors explained up to 80% of the variation in body weight, while PC explained up to 75%. This study shows that body measurements, such as CG, RW, and NC, could serve as markers for BW in Yankasa sheep.
Published in |
Animal and Veterinary Sciences (Volume 8, Issue 2)
This article belongs to the Special Issue Promoting Animal and Veterinary Science Research |
DOI | 10.11648/j.avs.20200802.12 |
Page(s) | 45-50 |
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), 2020. Published by Science Publishing Group |
Body Weight, Linear Body Measurements, Principal Component, Predictor, Yankasa Sheep
[1] | Afolayan, R. A., Adeyinka, I. A. and Lakpini, C. A. M. (2006). The estimation of live weight from body measurements in Yankasa sheep. Czech Journal of Animal Science, 5 (8): 343–348. |
[2] | Muhammad, K. Y., Birnin-Tsaba, N. I., Ibrahim, R., Yerima, U. A. and Tanko, S. D. (2006). Coat Colour Dilution in Sokoto Red Goats in Sokoto. A mini project report submitted in partial fulfillment of the requirement for ANI 503 (Applied Animal Breeding). Department of Animal Science, Faculty of Agriculture, Usmanu Danfodiyo University, Sokoto. (Unpublished). |
[3] | Mendes, M., Karabayir, A. and Pala, A. (2005). Path analysis of the relationship between various body measures and live weight of American Bronze turkeys under three different lighting programs. TarimBilimleriDergisi, 11: 184-188. |
[4] | Topal, M. and Macit, M. (2004). Prediction of body weight and body measurements in Morkaraman sheep. Journal of Applied Animal Research, 25: 97-100. |
[5] | Yakubu, A. (2009). Fixing collinearity in the estimation of body weight from morph-biometrical traits of West African Dwarf goats. Trakia Journal of Science, 7: 61-66. |
[6] | Yakubu, A. and Ibrahim, I. A. (2011). Multivariate analysis of morphostructural characteristics in Nigerian indigenous sheep. Italian Journal of Animal Science, 10: 83-86. |
[7] | Salako, A. E. (2006). Application of morphological indices in the assessment of type and function in sheep. International Journal of Morphology, 24 (1): 13-18. |
[8] | Leng, J., Zhu, R., Zhao, G., Yang, Q. and Mao, H. (2010). Quantitative and qualitative body traits of Longling Yellow goats in China. Agricultural Sciences in China, 9: 408–415. |
[9] | Okoh, J. J. Ocholi, R. E. and Igomu, M. N. (2013) Phenotypic characterization of indigenous breeds of sheep in selected states of derived guinea savannah Agro-ecological Zone of NigeriaSociety for Agriculture, Business and Technology. ATBU, Bauchi Vol 2 No. 3: 173- 180. ISSN 2007-0807 |
[10] | SPSS, (2011). Statistical Package for Social Sciences. SPSS Inc., 444 Michigan Avenue, Chicago, IL60611. |
[11] | Everitt, B. S., Landau, S. and Leese, M., (2001). Cluster analysis. 4thedn., (Arnold Publisher, London). |
[12] | Traoré, A., Tamboura, H. H., Kaboré, A., Royo, L. J., Fernández, I., Álvarez, I., Sangaré, M., Bouchel, D., Poivey, J. P., Francois, D., Toguyeni, A., Sawadogo, L. and Goyache, F. (2008). Multivariate characterization of morphological traits in Burkina Faso sheep. Small Ruminant Research, 80: 62–67. |
[13] | Okpeku, M., Yakubu, A., Peters, S. O., Ozoje, M. O., Ikeobi, C. O. N., Adebambo, A. O. and Imumorin, I. G. (2011). Application of multivariate principal component analysis to morphological characterization of indigenous goats in Southern Nigeria. ActaAgriculturaeSlovenica, 98 (2): 101- 109. |
[14] | Sowande, O. S., Oyewale, B. F. and Iyasere, O. S. (2010). Age and sex dependent regression models for predicting the live weight of West African Dwarf goat from body measurements. Tropical Animal Health Production, 42: 969–975. |
[15] | Berge, S. (1997). On the estimation of weight and increase in weight by means of the chest girth in Norwegian red cattle at the Agricultural University Norway in the years 1972 and 1974. Acta Agriculture Scandinavia, 27: 65–66. |
[16] | Badi, A. M. I., Fissehaye, N. and Rattan, P. J. S. (2002). Estimation of live body weight in Eritrean goat from heart girth and height at withers. Indian Journal of Animal Science, 72: 893–895. |
[17] | Malau-Aduli, A. E. O., Aziz, M. A., Kojina, T., Niibayashi, T., Oshima, K. and Komatsu, M. (2004). Fixing collinearity instability using principal component and ridge regression analyses in the relationship between body measurements and body weight in Japanese Black cattle. Journal of Animal and Veterinary Advances, 3: 856–863. |
[18] | Eyduran, E., Karakus, K., Karakus, S. and Cengiz, F. (2009). Usage of factor scores for determining relationships among body weight and somebody measurements. Bulgarian Journal of Agricultural Science, 15: 373–377. |
APA Style
Adejoh Christiana Ojonegecha, Musa Abdulraheem Arome, Okoh Joseph Joseph, Okolo Freedom Atokolo, Emmanuel Amanabo Theophilus, et al. (2020). Principal Component Analysis of Body Measurements of Yankassa Sheep in Anyigba, Kogi State, Nigeria. Animal and Veterinary Sciences, 8(2), 45-50. https://doi.org/10.11648/j.avs.20200802.12
ACS Style
Adejoh Christiana Ojonegecha; Musa Abdulraheem Arome; Okoh Joseph Joseph; Okolo Freedom Atokolo; Emmanuel Amanabo Theophilus, et al. Principal Component Analysis of Body Measurements of Yankassa Sheep in Anyigba, Kogi State, Nigeria. Anim. Vet. Sci. 2020, 8(2), 45-50. doi: 10.11648/j.avs.20200802.12
AMA Style
Adejoh Christiana Ojonegecha, Musa Abdulraheem Arome, Okoh Joseph Joseph, Okolo Freedom Atokolo, Emmanuel Amanabo Theophilus, et al. Principal Component Analysis of Body Measurements of Yankassa Sheep in Anyigba, Kogi State, Nigeria. Anim Vet Sci. 2020;8(2):45-50. doi: 10.11648/j.avs.20200802.12
@article{10.11648/j.avs.20200802.12, author = {Adejoh Christiana Ojonegecha and Musa Abdulraheem Arome and Okoh Joseph Joseph and Okolo Freedom Atokolo and Emmanuel Amanabo Theophilus and Efienokwu Jude}, title = {Principal Component Analysis of Body Measurements of Yankassa Sheep in Anyigba, Kogi State, Nigeria}, journal = {Animal and Veterinary Sciences}, volume = {8}, number = {2}, pages = {45-50}, doi = {10.11648/j.avs.20200802.12}, url = {https://doi.org/10.11648/j.avs.20200802.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.avs.20200802.12}, abstract = {Yankasa sheep play a vital role in food security and the livelihood of smallholder farmers. This study aimed to evaluate the relationship amongst body measurements. A total of 126 extensively reared Yankasa rams, between 15.5 – 28.3 months of age, were randomly selected for the study. Data on body measurements were collected and subjected to correlation, principal component (PC), and step-wise multiple regression analyses. We found that mean body measures ranged from 11.2cm for scrotal circumference (SC) to 71.9cm for chest girth (CG), and the coefficient of variation ranged from 10.7%for height at withers (HW) to 30.3%forBW. All body measures, except ear length, were significantly (P<0.01) associated with BW. All body measures, except ear length, were significantly (P<0.01) associated with BW. Of all body measures, CG, rump width (RW), and neck circumference (NC) were the most associated with BW, with correlation coefficients of 0.83, 0.8, and 0.79, respectively, while neck length, ear width, and tail length were the least associated with correlation coefficients of 0.21, 0.33, and 0.46. Three principal components from the factor analysis of body measurements explained about 64% of the total variance. Regression models using original morphometric traits as predictors explained up to 80% of the variation in body weight, while PC explained up to 75%. This study shows that body measurements, such as CG, RW, and NC, could serve as markers for BW in Yankasa sheep.}, year = {2020} }
TY - JOUR T1 - Principal Component Analysis of Body Measurements of Yankassa Sheep in Anyigba, Kogi State, Nigeria AU - Adejoh Christiana Ojonegecha AU - Musa Abdulraheem Arome AU - Okoh Joseph Joseph AU - Okolo Freedom Atokolo AU - Emmanuel Amanabo Theophilus AU - Efienokwu Jude Y1 - 2020/06/03 PY - 2020 N1 - https://doi.org/10.11648/j.avs.20200802.12 DO - 10.11648/j.avs.20200802.12 T2 - Animal and Veterinary Sciences JF - Animal and Veterinary Sciences JO - Animal and Veterinary Sciences SP - 45 EP - 50 PB - Science Publishing Group SN - 2328-5850 UR - https://doi.org/10.11648/j.avs.20200802.12 AB - Yankasa sheep play a vital role in food security and the livelihood of smallholder farmers. This study aimed to evaluate the relationship amongst body measurements. A total of 126 extensively reared Yankasa rams, between 15.5 – 28.3 months of age, were randomly selected for the study. Data on body measurements were collected and subjected to correlation, principal component (PC), and step-wise multiple regression analyses. We found that mean body measures ranged from 11.2cm for scrotal circumference (SC) to 71.9cm for chest girth (CG), and the coefficient of variation ranged from 10.7%for height at withers (HW) to 30.3%forBW. All body measures, except ear length, were significantly (P<0.01) associated with BW. All body measures, except ear length, were significantly (P<0.01) associated with BW. Of all body measures, CG, rump width (RW), and neck circumference (NC) were the most associated with BW, with correlation coefficients of 0.83, 0.8, and 0.79, respectively, while neck length, ear width, and tail length were the least associated with correlation coefficients of 0.21, 0.33, and 0.46. Three principal components from the factor analysis of body measurements explained about 64% of the total variance. Regression models using original morphometric traits as predictors explained up to 80% of the variation in body weight, while PC explained up to 75%. This study shows that body measurements, such as CG, RW, and NC, could serve as markers for BW in Yankasa sheep. VL - 8 IS - 2 ER -