Tropical Animal Health and Production

, Volume 43, Issue 3, pp 623–630 | Cite as

Use of multivariate analyses for determining heat tolerance in Brazilian cattle

  • Concepta McManus
  • Marlos Castanheira
  • Samuel Rezende Paiva
  • Helder Louvandini
  • Maria Clorinda Soares Fioravanti
  • Giane Regina Paludo
  • Eliandra Bianchini
  • Patricia Spoto Corrêa
Original Research

Abstract

Adaptability can be evaluated by the ability of an animal to adjust to environmental conditions and is especially important in extreme weather conditions such as that found in tropical Brazil. A multivariate analysis using physical and physiological traits in exotic (Nellore and Holstein) and naturalized (Junqueira, Curraleira, Mocho Nacional, Crioula Lageana, and Pantaneira) cattle breeds was carried out in the Federal District of Brazil to test and determine which traits are important in the adaptation of animal to heat stress as well as the ability of these traits and statistical techniques to separate the breeds studied. Both physical and physiological traits were measured on three occasions and included body measurements, skin and hair thickness, hair number and length, pigmentation, sweat gland area as well as heart and breathing rates, rectal temperature, sweating rate, and blood parameters. The data underwent multivariate statistical analyses, including cluster, discriminate, and canonical procedures. The tree diagram showed clear distances between the groups studied, and canonical analysis was able to separate individuals in groups. Coat traits explained little variation in physiological parameters. The traits which had higher discriminatory power included packed cell volume, shoulder height, mean corpuscular volume, body length, and heart girth. Morphological and physiological traits were able to discriminate between the breeds tested, with blood and size traits being the most important. More than 80% of animals of all breeds were correctly classified in their genetic group.

Keywords

Adaptation Bovidae Naturalized breeds Temperature Thermolysis 

References

  1. Azevêdo, D. M. M. R.; Alves, A. A.; Feitosa, F. S.; Magalhães, J. A.; Malhado, E. C. H. M. 2008. Adaptabilidade de bovinos da raça Pé-Duro às condições climáticas do Semi-Árido do estado do Piauí. Arch. Zoot. 57, 513–523.Google Scholar
  2. Bianchini, E.; McManus, C.; Lucci, C.M.; Fernandes, M.C.B., Prescott, E.; Mariante, A.S.; Egito, A.A. 2006. Características corporais associadas com a adaptação ao calor em bovinos naturalizados brasileiros. Pesq. Agropec. Bras., 41, 1443–1448.CrossRefGoogle Scholar
  3. Carter, H. B.; Dowling, D. F. 1954. The hair follicle and apocrine gland population of cattle skin. Aust. J. Agric. Res., 5, 745–754.CrossRefGoogle Scholar
  4. Cotrim, E. 1913. A fazenda moderna: guia do criador de gado bovino no Brasil. Bruxelas: V.Verteneuil & L. Desmet, 376p.Google Scholar
  5. Egito A.A., Paiva, S.R., Albuquerque, M.S., Mariante, A.S., 2007. Microsatellite based genetic diversity and relationships among ten Creole and commercial cattle breeds raised in Brazil. BMC. Genet. 8: 83.CrossRefPubMedGoogle Scholar
  6. Insausti, K.; Beriain, M. J.; Lizaso, G.; Carr, T. R.; Purroy, A. 2008. Multivariate study of different beef quality traits from local Spanish cattle breeds, Animal, 2, 447–458.CrossRefGoogle Scholar
  7. Lee, D. H. K. 1953. Manual of field studies on heat tolerance in domestic animals. Roma: FAO, 161p.Google Scholar
  8. Leotta, R. 2004. Use of linear discriminant analysis to characterise three dairy cattle breeds on the basis of several milk characteristics, Ital. J. Anim. Sci. 3, 377–383.Google Scholar
  9. Maia, A. S. C.; Silva, R. G.; Bertipaglia, E. C. A. 2003. Características do pelame de vacas Holsteins em ambiente tropical: Um estudo genético e adaptativo. Rev. Bras. Zoot. 32, 843–853.Google Scholar
  10. Marai, I.F.M.; Haeeb, A.A.H. 2009. Buffalo's biological functions as affected by heat stress—A review. Livest. Sci. 127, 89–109.CrossRefGoogle Scholar
  11. Mariante, A. da S.; Cavalcante, N. 2006. Animals of the Discovery: Domestic breeds in the History of Brazil. 2. ed. Brasília: Empresa Brasileira de Pesquisa Agropecuária, 274 p.Google Scholar
  12. Mazza, M.C.M.; Mazza, C.A.S.; Sereno, J.R.B.; Santos, S.A.; Pellegrin, A.O. 1994. Etnobiologia e conservação do bovino Pantaneira. Corumbá: Embrapa-CPAP, 61p.Google Scholar
  13. McManus, C.; Paludo, G. R.; Louvandini, H.; Garcia, J. A. S.; Egito, A. A.; Mariante, A. S. 2005. Heat tolerance in naturalised cattle in Brazil: Physical factors. Arch. Zoot. 54, 453–458.Google Scholar
  14. McManus, C.; Prescott, E.; Paludo, G. R.; Bianchini, E.; Louvandini, H.; Mariante, A. S.; 2009. Heat tolerance in naturalized Brazilian cattle breeds. Livest. Sci. 120, 256–264.CrossRefGoogle Scholar
  15. Müller, P.B. 1989. Bioclimatologia aplicada aos animais domésticos. 3.ed. Porto Alegre: Sulina. 262p.Google Scholar
  16. Pereira, C.C.J. 2005. Fundamentos de bioclimatologia aplicados à produção animal. Belo Horizonte: FEPMVZ 195p.Google Scholar
  17. Perez, J.H. 2000. Parameters for the determination and evaluation of heat stress in dairy cattle in south Africa, J. Vet. Res. 67, 263–271.Google Scholar
  18. Perissinotto, M.; Moura, D.J.; Cruz, V.F. 2007. Avaliação da produção de leite em bovinos utilizando diferentes sistemas de climatização. Rev. Ciên. Agrár. 30, 135–142.Google Scholar
  19. Primo, A.T. 1993. Os bovinos ibéricos nas Américas. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA. 30, Rio de Janeiro Anais... Rio de Janeiro:RBZ.Google Scholar
  20. Santiago, A.A. 1984. Os cruzamentos na pecuária bovina. Campinas: Instituto Campineiro de Ensino Agricola. 549 p.Google Scholar
  21. SAS INSTITUTE. 1999. User´s Guide. Version 8. Cary. 295p.Google Scholar
  22. Serrano, G.M.S.; Egito, A.A., McManus, C.; Mariante, A.S. 2004. Genetic diversity and population structure os Brazilian native bovine breeds, Pesq. Agropec. Bras. 39,543.CrossRefGoogle Scholar
  23. Silva, R.G. 1998. Estimação do balanço térmico por radiação em vacas Holsteins ao sol e à sombra. In: Congresso Brasileiro de Biometeorologia, 2, Goiânia, Anais... Goiânia: SBBiomet, P.118–128.Google Scholar
  24. Silva, R. G. 1999. Estimativa do balanço térmico por radiação em vacas Holsteins expostas ao sol e a sombra em ambiente tropical. Rev. Bras. Zoot., 28, 1403–1411.Google Scholar
  25. Silva, R. G., La Scala Jr., N., Tonhati, H. 2003. Radiative properties of the skin and hair coat of cattle and other animals. Trans. ASAE. 46(3),913–918.Google Scholar
  26. Sneath, P. H.; Sokal, R.R. 1973. Numerical taxonomy: The principles and practice of numerical classification. San Francisco: W.H. Freeman, 573p.Google Scholar
  27. Spritze, A. L.; Serrano, G. M. S.; McManus, C.; Mariante, A. S. 1999. Consanguinidade e intervalo entre partos da raca Crioulo Lageano. In: SIMPOSIO DE RECURSOS GENETICOS PARA A AMERICA LATINA E CARIBE, Brasília, Anais... Brasília: Embrapa Recursos Geneticos e Biotecnologia, 3p.Google Scholar
  28. Torres, A. P.; Jardim, W. R.; Jardim, L. I. A. F. 1982. Manual de Zootecnia: raças que interessam ao Brasil. 2.ed. São Paulo: Agronômica Ceres, 301p.Google Scholar
  29. Udo, H.M. 1978. Hair coat characteristics in Friesian heifers in the Netherlands and Kenya: experimental data and a review of literature. Wageningen: Veenman. 136p. (Mededelingen Landbouwhogeschool Wageningen, 78–6).Google Scholar
  30. Woolliams, J. A.; Woolliams, C.; Suttle, N. F.; Jones, D. G.; Wiener, G. 1986. Studies on lambs from lines genetically selected for low and high copper status. 2. Incidence of hypocuprosis on improved hill pasture. Anim. Prod. 43, 303–317.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • Concepta McManus
    • 1
  • Marlos Castanheira
    • 2
  • Samuel Rezende Paiva
    • 3
  • Helder Louvandini
    • 1
  • Maria Clorinda Soares Fioravanti
    • 2
  • Giane Regina Paludo
    • 1
  • Eliandra Bianchini
    • 1
  • Patricia Spoto Corrêa
    • 4
  1. 1.Faculdade de Agronomia e Medicina VeterináriaUniversidade de BrasíliaBrasíliaBrazil
  2. 2.Escola de VeterináriaUniversidade Federal de GoiásGoiâniaBrazil
  3. 3.EMBRAPA Recursos Genéticos e BiotecnologiaBrasíliaBrazil
  4. 4.Secretaria de Vigilância em SaúdeMinistério da SaúdeBrasíliaBrazil

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