Department of Animal Science, State University of Acaraú Valley (UVA), 62040-370, Sobral, CE, Brazil.
Department of Animal Science, Federal Rural University of the Semi-arid Region (UFERSA), 59625-900, Mossoró, RN, Brazil.
J Therm Biol. 2020 Apr;89:102543. doi: 10.1016/j.jtherbio.2020.102543. Epub 2020 Feb 15.
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 - T and thyroxine - T). 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; T; RT; T; URE; CHO; TRI; CRE; WBC and ALB; GLU; TP; AST; RR; ALT; CRE; CHO; RT; RBC; T; HE; PCV; MCV; URE; TRI; WBC; T. 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.
本研究旨在评估奶牛的体温调节反应、激素、血液学和血清生化值特征之间的关系，旨在提出一个适应指数（AI），以评估热带条件下奶牛的适应性。使用了 30 头成年奶牛，包括 15 头 Sindi 和 15 头 Girolando 品种，平均体重分别为 338.52 ± 42.79kg 和 487.54 ± 60.67kg。这些数据包括直肠温度（RT）和呼吸频率（RR）。对于血液样本的血清，测定葡萄糖（GLU）、胆固醇（CHO）、甘油三酯（TRI）、总蛋白（TP）、肌酐（CRE）、白蛋白（ALB）、尿素（URE）、天门冬氨酸氨基转移酶（AST）和丙氨酸氨基转移酶（ALT）和激素浓度（三碘甲状腺原氨酸 - T 和甲状腺素 - T）。对于总血液样本进行血液学变量分析：红细胞计数（RBC）；血红蛋白浓度（HC）；红细胞压积（PCV）；平均红细胞体积（MCV）；白细胞（WBC）。AI 是使用多变量分析开发的，用于“权衡”每个变量对动物反应的影响。对 Sindi 和 Girolando 牛适应方面最重要的变量分别是：GLU；MCV；AST；PCV；RBC；HE；TP；ALB；ALT；RR；T；RT；T；URE；CHO；TRI；CRE；WBC 和 ALB；GLU；TP；AST；RR；ALT；CRE；CHO；RT；RBC；T；HE；PCV；MCV；URE；TRI；WBC；T。AI 之间的品种差异略高于 8%。我们开发了一个初步的 AI，能够衡量热带地区奶牛的适应水平。该方法框架有可能为决策者提供有关动物适应条件的信息，并能从奶牛的适应能力推断出血液值的高推断。
