title: Use of multivariate analyses for determining heat tolerance in Brazilian cattle.
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.
authors.affiliation: Faculdade de Agronomia e Medicina Veterinária, Universidade de Brasília, Brasília, Federal District, Brazil. concepta@unb.br
authors.forename: Concepta
authors.initials: C
authors.lastname: McManus
authors.forename: Marlos
authors.initials: M
authors.lastname: Castanheira
authors.forename: Samuel Rezende
authors.initials: SR
authors.lastname: Paiva
authors.forename: Helder
authors.initials: H
authors.lastname: Louvandini
authors.forename: Maria Clorinda Soares
authors.initials: MC
authors.lastname: Fioravanti
authors.forename: Giane Regina
authors.initials: GR
authors.lastname: Paludo
authors.forename: Eliandra
authors.initials: E
authors.lastname: Bianchini
authors.forename: Patricia Spoto
authors.initials: PS
authors.lastname: Corrêa
mesh_terms: D000222:Adaptation, Physiological / Q000235:genetics / Q000502:physiology*; D000818:Animals; D001772:Blood Cell Count / Q000662:veterinary; D001798:Blood Proteins / Q000032:analysis; D001831:Body Temperature / Q000502:physiology; D001938:Brazil; D002417:Cattle / Q000033:anatomy & histology / Q000235:genetics / Q000502:physiology*; D006197:Hair / Q000502:physiology; D006339:Heart Rate / Q000502:physiology; D006400:Hematocrit / Q000662:veterinary; D006454:Hemoglobins / Q000032:analysis; D015999:Multivariate Analysis; D010858:Pigmentation / Q000502:physiology; D012119:Respiration; D013312:Stress, Physiological / Q000235:genetics / Q000502:physiology*; D014329:Tropical Climate
chemical_list: D001798:Blood Proteins; D006454:Hemoglobins