Age and sex specific brain biometrical study in Vanaraja chickens

DOI: 10.18805/ijar.B-3322    | Article Id: B-3322 | Page : 990-994
Citation :- Age and sex specific brain biometrical study in Vanaraja chickens.Indian Journal Of Animal Research.2018.(52):990-994
Kuldeep Kumar Panigrahy, Kumaresh Behera, Lal Mohan Mohapatra, Arun Kumar Mandal, Kamdev Sethy, Sasmita Panda, Shailesh Kumar Gupta and Dayanidhi Behera kul.pani42@gmail.com
Address : Department of Livestock Production and Management, College of Veterinary Science and Animal husbandry, Orrisa University of Agriculture and Technology, Bhubaneswar-751 003, Orissa, India
Submitted Date : 13-10-2016
Accepted Date : 10-04-2017

Abstract

The objective of this study was to evaluate the brain biometrical dynamics with advancement of age between sexes. One hundred fifty day-old sexed Vanaraja chicks (75 male + 75 female) were selected and distributed equally in two groups. Birds were slaughtered by cervical dislocation method at 21, 42, 63 and 84 days of age and biometrical measurements were taken. From our present study we observed brain volume had shown significant (P<0.05) changes with respect to age and sex of birds. The mean length of both left and right cerebral hemispheres between male and female birds had varied significantly (P<0.05). With advancement of age, hemispheric length varied significantly (P<0.05). The major finding was that cerebral width significantly (P<0.05) increased from 42-63 days of age and in male birds cerebellar length increased from 63 days onwards. There were age-specific changes in all the morphometrical parameters where as between sexes there were some minor variations.

Keywords

Age Brain biometry Cerebellum Sex Vanaraja chicken.

References

  1. Armstrong, E. andBergeron, R. (1985).Relative brain size and metabolism in birds. Brain BehavEvol., 26(3-4): 141-53.
  2. Batah, A.L., Ghaje, M.S. and Aziz, S.N. (2012). Anatomical and histological study for the brain of the locally breed chicken. J. Thi-    Qar Sci., 3(3): 47-53.
  3. Bunyamin, S., Huseyin, A., Bunyami, U., Sinan, C., Sait, B., Suleyman, K. and Levent, T.(2001). Brain Volumes of lamb, rat and bird do not show Hemisphere Assymetry: A stereological study.Image Anal Stereol.,20: 9-13.
  4. Byanet, O. and Dzenda, T. (2014). Quantitative biometry of body and brain in the grasscutter (Thryonomysswinderianus) and African giant rat (Cricetomysgambianus): encephalization quotient implication. J.neuroscience.,3(1): 1-6.
  5. Carpenter’s Human Neuroanatomy. (1995). Williams & Wilkins. Baltimore USA: 9th Edn538-622. 
  6. Charvet, C.J. and Striedter, G.F. (2010). Bigger brains cycle faster before neurogenesis begins: a comparison of brain development between chickens and bobwhite quail.Proc. Biol. Sci., 277(1699): 3469–3475.
  7. Corfield, J.R., Wild, J.M., Hauber, M.E., Parsons, S. and Kubke, M.F. (2008). Evolution of Brain Size in the Palaeognath Lineage, with an Emphasis on New Zealand Ratites. Brain Behav. Evol.,71: 87–99.
  8. Dhage, S.A., Shehan, N.A., Ali, S.A. and Aziz, F.H. (2013) Anatomical and histological study of cerebral in Sturnus vulgaris. Bas. J. Vet. Res., 12(2): 221-227.
  9. Gould, S.J. (1966) Allometry and size in ontogeny and phylogeny. Biol. Rev., 41: 587-640.
  10. Kawabe, S., Shimokawa, T., Miki, H., Matsuda, S. and Endo, H. (2013) Variation in avian brain shape: Relationship with size and orbital shape. J. Anat., 223(5): 495-508.
  11. Khan, A.A. and Bidabadi, F.S. (2004). Livestock revolution in India: its impact and policy response. South Asia Research.,24(2): 99-122. 
  12. Mapiye, C. and Sibanda, S. (2005). Constraints and opportunities of village chicken production systems in smallholder sector of Rushinga district of Zimbabwe. Livestock Res. Rural Dev., 17.
  13. Miao, Z.H., Glatz, P.C. and Ru, Y.J. (2005). Free range poultry production- A review.Asian-Aust. J. Anim. Sci.,18(1): 113-132.
  14. Moller, A.P., Erritzoe, J. and Garamszegi, L.Z. (2005). Co variation between brain size and immunity in birds: implications for brain size evolution. J .Evol. Biol., 18: 223-237.
  15. Nandi, S., Sharma, K., Kumar, P. and Nandi, D. (2007). Poultry farming: A rapidly growing profitable business. Poultry Line.,7(12): 19-20.
  16. Northcutt, R.G. (1981). Brain organization in the cartilaginous fishes. In Sensory biology of sharks, skates and rays. Edited by Hodgson, E.S. and Mathewson R.F. Castle House Publications, London.,pp. 117–193.
  17. Pal, B., Chowdhury, S. and Ghosh, R.K. (2003). Comparative anatomical study of the cerebellum of man and fowl. J. Anat. Soc. India., 52(1): 32-37.
  18. Peng, K., Feng, Y., Zhang, G., Liu, H. and Song, H. (2010) Anatomical study of the brain of the African ostrich.Turk. J. Vet. Anim. Sci., 34(3): 235-241.
  19. Panda, A.K., Raju, M.V.L.N. and Rama Rao, S.V. (2008). Poultry production in India: Opportunities and challenges ahead. Poultry Line.,8(1): 11-14.
  20. Pravosudov, V.V., Kitaysky, A.S. and Omanska, A. (2006). The relationship between migratory behaviour, memory and the hippocampus: an interspecific comparision. Proc. R. Soc. B, 273:2641-2649.
  21. Wahl, C. (2012). Morphometry applied to the study of morphological plasticity during vertebrate development. Morphometrics, In Tech, Croatia & China.
  22. Wanmi, N., Samuel, M.O. and Byanet, O. (2016). Morphometric study of the forebrain and cerebellum of the wild rock pigeon (Columba livia). Inter. J. Vet. Sci., 5(3): 118-121.
  23. Yi, K.J., Kim, J.Y., Lee, N., Choi, M., Yoon, J.H. and Choi, M.C. (2012). Cerebellar maturation ratio of forebrain and brainstem at magnetic resonance imaging in the micro pig. Korean J. Vet. Res., 52(2): 83-87. 

Global Footprints