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Current IssueEditorial BoardOnline First ArticlesArchive

volume 49 issue 5 (october 2015) : 573-578,   Doi: 10.18805/ijar.5564

Path coefficient and path analysis of body weight and biometric traits in indigenous goats

D
David Norris
D
David Brown
A
Abram K. Moela
T
Tlou C. Selolo
M
Monnye Mabelebele
J
Jones W. Ngambi
T
Thobela L. Tyasi
1Department of Agricultural Economics and Animal Production, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa.
Cite article:- Norris David, Brown David, Moela K. Abram, Selolo C. Tlou, Mabelebele Monnye, Ngambi W. Jones, Tyasi L. Thobela (2025). Path coefficient and path analysis of body weight and biometric traits in indigenous goats. Indian Journal of Animal Research. 49(5): 573-578. doi: 10.18805/ijar.5564.

ABSTRACT

The study was conducted in Sekhukhune District of the Limpopo province, South Africa where the goats between the ages of 20 and 30 months were used. A total of 613 indigenous goats of both sexes (62 male and 551 female) were selected and body weight and four morphological traits were taken on each goat in the morning before they were released for grazing. Means, standard deviations (SD) and coefficients of variation (CV) were calculated. Pair wise correlations among body weight and morphological traits were also determined which ranged from 0.81-0.91 for male and 0.72-0.89 for female goats, respectively and were statistically significant (P

REFERENCES

  1. Aziz, M. A. and Sharaby, M.A. (1993). Collinearity as a problem in predicting body weight from body dimensions of Nadji sheep in Saudi Arabia. Small Ruminant Res., 12: 117 – 124.
  2. Cankaya, S. and Abaci, S.H. (2012). Path analysis for determination of relationships between some body measurements and live weight of German Fawn x Hair crossbred kids.Kafkas. Univ. Vet FakDerg. 18 :769-773.
  3. Das, S.M. and Sendalo, D.S (1990). Comparative performance of improved meat goats in Malya, Tanzania. In: Proceedings of the First Biennial Conference of the African Small Ruminant Research Network. Nairobi, Kenya. pp. 445-452
  4. Erasmus, J.F. (1985). Rainfall deciles for the Transvaal Region. In: Unpublished Report No. GB/A/87/18:147-216. SIRI, Pretoria.
  5. Jawasrey, K.I.Z. and Khasawney, A.Z (2007). Studies of some economic characteristics on Awassi Lambs in Jordan. Egyp. J. of Sheep and Goat Sci., 2: 101-110.
  6. Keskin, S., Daskiran, I and Kor, A. (2007). Factor analysis scores in a multiple linear regression model for the prediction of carcass weight in Akkeci kids. J. Appl. Anim. Res., 31: 201-204.
  7. Kunene, N.W., Nesamvuni, A.E and Nsahlai, I.V. (2009). Determination of prediction equations for estimating body weight of Zulu (Nguni) sheep. Small Ruminant Res., 84: 41–46
  8. Kuzelov, A., Taskov, N., Angelakova, T., Atanasova, E. and Mladenov, M. (2011). Impact of on the quality of pig halves and meat of the large white breed. Biotech. Anim. Husbandry 27:819-824
  9. Marjanovic-jeromela, A., Marinkovic, R., Mijic, A., Zdunic, Z., Ivanovska, S.and Jankulovska, M. (2008). Correlation and path analysis of quantitative traits in winter rapeseed (Brasssicanapus L.). Agric. Conspec. Sci., 73:13-18.
  10. Mendes, M., Karabayir, A. and Pala, A. (2005).Path analysis of the relationship between various body measurements and live weight of American Bronze turkeys under three different lighting programs. Tarim Bilim. Derg., 11:184-188
  11. Ogah, D.M., Alaga, A.A. and Momoh, M.O. (2009). Principal component factor analysis of the morphostructural traits of Muscovy duck. Int. J. Poult. Sci. 8: 1100-1103.
  12. Okpeku, M., Yakubu, A., Peters, S.O., Ozoje, M.O., Ikeobi,C.O.N., Adebambo, O.A. and Imumorin, I.G. (2011). Application of multivariate principal component analysis to morphological characterization of indigenous goats in Southern Nigeria. Acta Agric. Slov. 98:101–109
  13. Statistical Package for the Social Sciences. 2001.IBM SPSS Statistics 22. Windows User’s Guide.
  14. Supakorn, C. and Pralomkarn, W. (2012). Genetic parameter estimates for weaning weight and Kleiber ratio in goats. Songklanakarin. J. Sci. and Tech. 34:165-172
  15. Thiruvenkanden, A.K. 2005. Determination of best fitted regression model for estimation of body weight in Kanni Adu kids under farmers’ management systems. Livest. Res. Rural Dev. 17: 76-87.
  16. Vargas S., Larbi, A. and Sanchez, M. (2007). Analysis of size and conformation of native Creole goat breeds and crossbreds used in smallholder agrosilvopastoral systems in Puebla, Mexico. Trop. Anim. Health Prod., 39: 279-286.
  17. Yakubu A. (2010). Path coefficient and path analysis of body weight and biometric traits in Yankasa lambs. Slov. J. Anim. Sci. 43: 17-25
  18. Yakubu, A. (2011). Path analysis of conformation traits and milk yield of Bunaji cows in smallholder’s herds in Nigeria. Agricultura Tropica et Subtropica. 44:152-157.
  19. Yakubu, A. and Mohammed, G.L. (2012) .Application of path analysis methodology in assessing the relationship between body weight and biometric traits of Red Sokoto goats in Northern Nigeria. Biotech. Anim. Husbandry 28:107-117
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    volume 49 issue 5 (october 2015) : 573-578,   Doi: 10.18805/ijar.5564

    Path coefficient and path analysis of body weight and biometric traits in indigenous goats

    D
    David Norris
    D
    David Brown
    A
    Abram K. Moela
    T
    Tlou C. Selolo
    M
    Monnye Mabelebele
    J
    Jones W. Ngambi
    T
    Thobela L. Tyasi
    1Department of Agricultural Economics and Animal Production, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa.
    Cite article:- Norris David, Brown David, Moela K. Abram, Selolo C. Tlou, Mabelebele Monnye, Ngambi W. Jones, Tyasi L. Thobela (2025). Path coefficient and path analysis of body weight and biometric traits in indigenous goats. Indian Journal of Animal Research. 49(5): 573-578. doi: 10.18805/ijar.5564.

    ABSTRACT

    The study was conducted in Sekhukhune District of the Limpopo province, South Africa where the goats between the ages of 20 and 30 months were used. A total of 613 indigenous goats of both sexes (62 male and 551 female) were selected and body weight and four morphological traits were taken on each goat in the morning before they were released for grazing. Means, standard deviations (SD) and coefficients of variation (CV) were calculated. Pair wise correlations among body weight and morphological traits were also determined which ranged from 0.81-0.91 for male and 0.72-0.89 for female goats, respectively and were statistically significant (P

    REFERENCES

    1. Aziz, M. A. and Sharaby, M.A. (1993). Collinearity as a problem in predicting body weight from body dimensions of Nadji sheep in Saudi Arabia. Small Ruminant Res., 12: 117 – 124.
    2. Cankaya, S. and Abaci, S.H. (2012). Path analysis for determination of relationships between some body measurements and live weight of German Fawn x Hair crossbred kids.Kafkas. Univ. Vet FakDerg. 18 :769-773.
    3. Das, S.M. and Sendalo, D.S (1990). Comparative performance of improved meat goats in Malya, Tanzania. In: Proceedings of the First Biennial Conference of the African Small Ruminant Research Network. Nairobi, Kenya. pp. 445-452
    4. Erasmus, J.F. (1985). Rainfall deciles for the Transvaal Region. In: Unpublished Report No. GB/A/87/18:147-216. SIRI, Pretoria.
    5. Jawasrey, K.I.Z. and Khasawney, A.Z (2007). Studies of some economic characteristics on Awassi Lambs in Jordan. Egyp. J. of Sheep and Goat Sci., 2: 101-110.
    6. Keskin, S., Daskiran, I and Kor, A. (2007). Factor analysis scores in a multiple linear regression model for the prediction of carcass weight in Akkeci kids. J. Appl. Anim. Res., 31: 201-204.
    7. Kunene, N.W., Nesamvuni, A.E and Nsahlai, I.V. (2009). Determination of prediction equations for estimating body weight of Zulu (Nguni) sheep. Small Ruminant Res., 84: 41–46
    8. Kuzelov, A., Taskov, N., Angelakova, T., Atanasova, E. and Mladenov, M. (2011). Impact of on the quality of pig halves and meat of the large white breed. Biotech. Anim. Husbandry 27:819-824
    9. Marjanovic-jeromela, A., Marinkovic, R., Mijic, A., Zdunic, Z., Ivanovska, S.and Jankulovska, M. (2008). Correlation and path analysis of quantitative traits in winter rapeseed (Brasssicanapus L.). Agric. Conspec. Sci., 73:13-18.
    10. Mendes, M., Karabayir, A. and Pala, A. (2005).Path analysis of the relationship between various body measurements and live weight of American Bronze turkeys under three different lighting programs. Tarim Bilim. Derg., 11:184-188
    11. Ogah, D.M., Alaga, A.A. and Momoh, M.O. (2009). Principal component factor analysis of the morphostructural traits of Muscovy duck. Int. J. Poult. Sci. 8: 1100-1103.
    12. Okpeku, M., Yakubu, A., Peters, S.O., Ozoje, M.O., Ikeobi,C.O.N., Adebambo, O.A. and Imumorin, I.G. (2011). Application of multivariate principal component analysis to morphological characterization of indigenous goats in Southern Nigeria. Acta Agric. Slov. 98:101–109
    13. Statistical Package for the Social Sciences. 2001.IBM SPSS Statistics 22. Windows User’s Guide.
    14. Supakorn, C. and Pralomkarn, W. (2012). Genetic parameter estimates for weaning weight and Kleiber ratio in goats. Songklanakarin. J. Sci. and Tech. 34:165-172
    15. Thiruvenkanden, A.K. 2005. Determination of best fitted regression model for estimation of body weight in Kanni Adu kids under farmers’ management systems. Livest. Res. Rural Dev. 17: 76-87.
    16. Vargas S., Larbi, A. and Sanchez, M. (2007). Analysis of size and conformation of native Creole goat breeds and crossbreds used in smallholder agrosilvopastoral systems in Puebla, Mexico. Trop. Anim. Health Prod., 39: 279-286.
    17. Yakubu A. (2010). Path coefficient and path analysis of body weight and biometric traits in Yankasa lambs. Slov. J. Anim. Sci. 43: 17-25
    18. Yakubu, A. (2011). Path analysis of conformation traits and milk yield of Bunaji cows in smallholder’s herds in Nigeria. Agricultura Tropica et Subtropica. 44:152-157.
    19. Yakubu, A. and Mohammed, G.L. (2012) .Application of path analysis methodology in assessing the relationship between body weight and biometric traits of Red Sokoto goats in Northern Nigeria. Biotech. Anim. Husbandry 28:107-117
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