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Prediction of water intake to Bos indicus beef cattle raised under tropical conditions

机译:热带条件下饲养的印度dic牛的饮水量预测

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摘要

Water is the most important nutrient in animal nutrition; however, water intake is rarely measured. The objective of this study was to determine whether previously published water intake ( ) equations for beef cattle would accurately predict WI from four experiments conducted under tropical conditions. The experiments were conducted from 2013 to 2015. Nellore ( ) growing bulls (Exps. 1, 2, and 3) and heifers (Exp. 4) were used in the feedlot trials. In all experiments, animals were fed for ad libitum DMI. The WI, animal performance, diet composition, and environmental data were collected. The prediction of WI using the current published WI equations was evaluated by regressing predicted and measured WI values. The regression was evaluated using the two-hypothesis test: H0: β0 = 0 and H0: β1 = 1 and Ha: not H0. If both null hypotheses were not rejected, it was concluded that the tested equation accurately estimated WI. To develop a WI prediction equation based on the input variables, a leave-one-out cross-validation method was proposed. The proposed equation was evaluated using similar methodology described above. All previously published eight equations overestimated WI of cattle used in the four experiments conducted in southeast Brazil. A possible explanation for the overestimate of WI is that previously published WI equations were generated from data collected from predominantly cattle raised under temperate climates. From the data collected from experiments conducted with Nellore cattle in southeast Brazil, the proposed equation (WI = 9.449 + 0.190 × MBW + 0.271 × −0.259 × HU + 0.489 × DMI, where the MBW is the metabolic BW (kg ), is the maximum temperature (°C), is the humidity (%) and DMI in kg/d), more accurately to predicts WI of cattle raised under tropical conditions.
机译:水是动物营养中最重要的营养素。但是,很少测量水的摄入量。这项研究的目的是确定以前发表的肉牛的饮水量()方程能否根据热带条件下进行的四项实验准确预测WI。实验于2013年至2015年进行。在饲养场试验中使用了内洛尔()生长的公牛(实验1、2和3)和小母牛(实验4)。在所有实验中,动物自由采食DMI。收集WI,动物性能,饮食组成和环境数据。通过回归预测的和测量的WI值,可以评估使用当前发布的WI方程对WI的预测。使用两个假设检验评估回归:H0:β0= 0和H0:β1= 1且Ha:不是H0。如果两个原假设都没有被拒绝,那么可以得出结论,被测方程精确地估计了WI。为了建立基于输入变量的WI预测方程,提出了留一法交叉验证的方法。使用上述类似方法评估了拟议的方程式。在巴西东南部进行的四个实验中,所有先前发布的八个方程均高估了牛的WI。对WI的高估的一个可能的解释是,以前发布的WI方程是根据在温带气候下饲养的主要是牛的数据生成的。根据巴西东南部内洛尔牛的实验数据,拟议方程(WI = 9.449 + 0.190×MBW + 0.271×-0.259×HU + 0.489×DMI,其中MBW为代谢体重(kg)。最高温度(°C)是湿度(%)和DMI(以kg / d为单位),可以更准确地预测热带条件下饲养的牛的WI。

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