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R esearch
(Published online:
21-04-2015)
16.
Optimizing age of bull at first use in relation to fertility of
Murrah breeding bulls
-
M. A.
Mir, A. K. Chakravarty, A. K. Gupta, B. C. Naha, V. Jamuna, C. S.
Patil and A. P. Singh
Veterinary World, 8(4): 518-522
doi:
10.14202/vetworld.2015.518-522
M. A. Mir:
Dairy
Cattle Breeding Division, National Dairy Research Institute,
Karnal, Haryana, India;
mohsinvet546@gmail.com
A. K. Chakravarty:
Dairy
Cattle Breeding Division, National Dairy Research Institute,
Karnal, Haryana, India;
ak_chakravarty@yahoo.co.in
A. K. Gupta:
Dairy
Cattle Breeding Division, National Dairy Research Institute,
Karnal, Haryana, India;
guptaak2009@gmail.com
B. C. Naha:
Division of Animal Genetics, Indian Veterinary Research Institute,
Barielly, Uttar Pradesh, India;
binoychandranaha@gmail.com
V. Jamuna:
Dairy
Cattle Breeding Division, National Dairy Research Institute,
Karnal, Haryana, India;
jamunavalsalan@gmail.com
C. S. Patil:
Department of Animal Genetics and Breeding, Lala Lajpat Rai
University of Veterinary and Animal Sciences, Hisar, Haryana,
India;
dr.cspatil03@gmail.com
A. P. Singh: Dairy Cattle Breeding
Division, National Dairy Research Institute, Karnal, Haryana,
India;
drapsndri@gmail.com
Received:
22-12-2014, Revised: 16-03-2015, Accepted: 23-03-2015, Published
online: 21-04-2015
Corresponding author:
M. A. Mir, e-mail:
mohsinvet546@gmail.com
Citation:
Mir MA, Chakravarty AK, Gupta AK, Naha BC,
Jamuna V, Patil CS, Singh AP (2015) Optimizing age of bull at
first use in relation to fertility of Murrah breeding bulls,
Veterinary World 8(4); 518-522.
Abstract
Aim: The aim of the present
investigation was to optimize the age at first use (AAFU) of semen
of Murrah breeding bulls, which will help in early selection of
bulls under progeny testing program for improving the reproductive
performance in the herd.
Materials and Methods: The data on AAFU, conception rate based
on first A.I. (CRFAI), overall conception rate (OCR), and birth
weight (B.WT) of 57 Murrah bulls during 1993-2014 at NDRI center
pertaining to 14 sets of Network Project on Buffalo Improvement at
ICAR-National Dairy Research Institute, Karnal, Haryana, India
were adjusted for significant environmental influences and
subsequently analyzed. Simple and multiple regression models were
used for prediction of CRFAI and OCR of Murrah breeding bulls.
Comparative evaluation of three developed models (I-III) showed
that Model III, having AAFU and B.WT, fulfill the accuracy of
model as revealed by high coefficient of determination, low mean
sum of squares due to error, low conceptual predictive value, and
low Bayesian information criterion.
Results: The results revealed that the average predicted CRFAI
was highest (39.95%) at <3.5 years and lowest (34.87%) at >4.5
years of age at first A.I/use. Similarly, average predicted OCR
was highest (41.05%) at <3.5 years and lowest (39.42%) at >4.5
years of age at first A.I/use of Murrah bulls.
Conclusion: In organized herd under progeny testing program,
Murrah bulls should be used at young age, i.e. prior to 3.5 years,
which is expected to result in 5.08% better CRFAI and 1.63% better
OCR in comparison to Murrah bulls used after 4.5 years of age.
Keywords: age at first use, conception rate based on first A.I.,
Murrah bull, overall conception rate.
References
|
1. Anonymous. (2014) 19th Livestock Census All India Report,
DAHD & F, Ministry of Animal Husbandry, Dairying and
Fisheries, Ministry of Agriculture, Government of India.
p34-35. |
|
|
|
2. Anonymous. (2012) Food and Agriculture Organisation.
Buffalo Production and Research. Available from: http://www.fao.org/statistics/en.
Last accessed on 02-03-2015. |
|
|
|
3. Anonymous. (2012-2013) DAHD and F, Ministry of Animal
Husbandry, Dairying and Fisheries, Ministry of Agriculture,
Government of India. p15. |
|
|
|
4. Chenoweth, P.J. and Lorton, S. (2014) Animal Andrology:
Theories and Applications. CAB International. p380-381.
Available from: http://www.cabi.org. |
|
|
5. Mukhopadhyay, C.S., Gupta, A.K., Yadav, B.R., Khate, K.,
Raina, V.S., Mohanty, T.K. and Dubey, P.P. (2010) Subfertility
in males: an important cause of bull disposal in bovines.
Asian Aust. J. Anim., 23: 450-455.
http://dx.doi.org/10.5713/ajas.2010.90298 |
|
|
|
6. Hamilton, T. (2009) Beef bulls fertility. Ontario Ministry
of Agriculture and Food, Ontario. |
|
|
|
7. Dahiya, S.S. and Singh, P. (2013) Nutritional and other
management practices for optimum semen production in buffalo
bulls. Buffalo Bull., 32: 277-284. |
|
|
8. Kuhn, M.T., Hutchison, J.L. and Wiggans, G.R. (2006)
Characterization of holstein heifer fertility in the United
States. J. Dairy Sci., 89: 4907-4920.
http://dx.doi.org/10.3168/jds.S0022-0302(06)72541-3 |
|
|
9. Kuhn, M.T. and Hutchison, J.L. (2008) Prediction of dairy
bull fertility from field data: use of multiple services and
identification and utilization of factors affecting bull
fertility. J. Dairy Sci., 91: 2481-2492.
http://dx.doi.org/10.3168/jds.2007-0743
PMid:18487672 |
|
|
|
10. Thomas, H.S. (2009) Managing Bulls for Optimum Production.
Hereford World. p30-33. Available from:
http://www.hereford.org/static/files/0309_ManagingBulls.pdf.
Last accessed on 13-12-2014. |
|
|
|
11. Singh, O.P. (1983) Climate of Karnal. Bulletin No. 8.
Published by Central Soil Salinity Research Institute (ICAR),
Karnal, India. |
|
|
|
12. Harvey, W.R. (1990) Guide for LSMLMW, PC-1 Version, mixed
model least squares and maximum likelihood computer programme.
Mimeograph Ohio State Univ., USA. |
|
|
13. Kramer, C.Y. (1957) Extension of multiple range tests to
group correlated adjusted means. Biometrics, 13: 13-18.
http://dx.doi.org/10.2307/3001898 |
|
|
|
14. SAS. (2011). Statistical Analysis System, User's Guide.
Statistical. Version 9. 1sted. SAS, Inst. Inc., Cary, N.C,
USA. |
|
|
|
15. Mallows, C.L. (1973) Some comments on Cp. Technometrics,
15: 661-675. |
|
|
16. Akaike, H. (1974) A new look at the statistical
identification model. IEEE Trans. Automat. Control, 19(6):
716-723.
http://dx.doi.org/10.1109/TAC.1974.1100705 |
|
|
17. Schwarz, G.E. (1978) Estimating the dimension of a model.
Ann. Stat., 6(2): 461-464.
http://dx.doi.org/10.1214/aos/1176344136 |
|
|
|
18. Singh, P., Dahiya, S.S., Chauhan, T.R., Sajjan, S., Kumar,
B., Sharma, R.K. and Inderjeet, S. (2004) Effect of feeding
different sources of rumen undegradable protein on sexual
maturity and semen production in buffalo bulls. Indian Buffalo
J., 2: 74-77. |
|
|
|
19. Saeed, A., Chaudhry, R.A., Khan, I.H. and Khan, N.U.
(1990) Morphology of semen buffalo bulls of different age
groups. In: Acharya, R.M., Lokeshwar, R.R. and Kumar, S.
editors. Recent Advances in Buffalo Research. Vol. 3. ???,
???.International Development Research Centre, New Delhi,
India. p17-19. |
|
|
20. Tanabe, T.Y. and Salisbury, G.W. (1946) Influence of age
on breeding efficiency. J. Dairy Sci., 29: 337-344.
http://dx.doi.org/10.3168/jds.S0022-0302(46)92486-1 |
|
|
21. Bishop, M.W.H. (1970) Aging and reproduction in the male.
J. Reprod. Fertil. Suppl., 12: 65-87.
PMid:4914621 |
|
|
|
22. Salisbury, G.W., Van Demark, N.L. and Lodge, J.R. (1978)
Physiology of reproduction and artificial insemination of
cattle. 2nd ed. W.H. Freeman and Company, San Francisco, CA. |
|
