Development of an animal adaptability index: Application for dairy cows |
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| Institution: | 1. Instituto de Pesquisas Energéticas e Nucleares, IPEN – CNEN/SP, Centro do Reator de Pesquisa – CRPq, Av. Professor Lineu Prestes 2242, 05508-000 São Paulo, SP, Brazil;2. Centro de Estudos do Genoma Humano, Instituto de Biociências, USP, Rua: do Matão, Travessa 13, 106, 05508-090 São Paulo, SP, Brazil;1. Departments of Anthropology and Ichthyology and Fisheries Science, Rhodes University, Grahamstown 6140, South Africa;2. Department Ecology, Leibniz Centre for Tropical Marine Research (ZMT), Fahrenheitstraße 6, 28359 Bremen, Germany;3. Department of Geography, University of Hawaii Manoa, 2424 Maile Way, Honolulu, HI 96822, USA;4. Faculty of Biology & Chemistry (FB2), University of Bremen, Leobener Straße, 28359 Bremen, Germany;5. Department Theoretical Ecology and Modelling, Leibniz Centre for Tropical Marine Research (ZMT), Fahrenheitstraße 6, 28359 Bremen, Germany;1. Laboratory of Adaptive Physiology and Genetic Resources, Department of Animal Science, Federal University of Semiarid (UFERSA), Mossoró, RN, Brazil;2. Laboratory of Genetics and Animal Breeding, Department of Animal Science, UFERSA, Mossoró, RN, Brazil;3. Academic Unit Specialized in Agrarian Sciences, Federal University of Rio Grande do Norte, Natal, RN, Brazil;4. Department of Agrarian Economy, Sociology and Policy, Universidad de La Laguna, Canary Islands, Tenerife, Spain;5. Department of Zootecnia, University of Vale Acaraú, Sobral, CE, Brazil |
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| Abstract: | The objective of this study was designed to evaluate the association between thermoregulatory responses, hormonal, hematological and serum biochemical values features aiming to propose an adaptability index (AI) for dairy cows under tropical conditions. Thirty adult dairy cows were used, including 15 Sindi and 15 Girolando breeds with mean weight of 338.52 ± 42.79 kg and 487.54 ± 60.67 kg, respectively. These data included rectal temperature (RT) and respiratory rate (RR). For the serum of blood sample, the levels of glucose (GLU), cholesterol (CHO), triglycerides (TRI), total protein (TP), creatinine (CRE), albumin (ALB), urea (URE), aspartate aminotrasferase (AST) and alanine aminotrasferase (ALT) and hormonal concentrations (triiodothyronine – T3 and thyroxine – T4). For the total blood samples were analyzed for hematology variables: red blood cell count (RBC); hemoglobin concentration (HC); packet cell volume (PCV); mean corpuscular volume (MCV); white blood cell (WBC). The AI was development using multivariate analysis to "weigh" the influence of each variable in the animal responses. The variables more important for adaptive aspects of Sindi and Girolando cows were respectively: GLU; MCV; AST; PCV; RBC; HE; TP; ALB; ALT; RR; T4; RT; T3; URE; CHO; TRI; CRE; WBC and ALB; GLU; TP; AST; RR; ALT; CRE; CHO; RT; RBC; T4; HE; PCV; MCV; URE; TRI; WBC; T3. The difference between breeds was just over 8% for AI. We developed a preliminary AI, able to measure the level of adaptability of dairy cows under tropical region. The methodological framework has potential to inform decision-makers on the adaptability animal conditions and high inference of the blood values from adaptability of cows. |
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| Keywords: | Acclimation Blood indicators Cattle Livestock Thermal tolerance Multivariate analysis |
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