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首页> 外文期刊>Applied Animal Behaviour Science >Intake estimation in dairy cows fed roughage-based diets: An approach based on chewing behaviour measurements
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Intake estimation in dairy cows fed roughage-based diets: An approach based on chewing behaviour measurements

机译:饲喂粗饲料的奶牛的摄入量估算:一种基于咀嚼行为测量的方法

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Chewing behaviour of 23 lactating Swiss Fleckvieh cows was analysed in order to evaluate the predictive potential for quantitative dry matter intake in a roughage-based indoor cattle feeding system. Cows were fed total mixed rations (TMR) based on silages and hay with different concentrate supplements. They were kept in a tie stall enabling individual feed intake measurements. Two measurements were conducted within one month. Chewing behaviour was recorded with RumiWatch (R) sensor collars, based on pressure tubes in the collar's noseband. Cows were equipped with collars for 96 h per measurement period. First 24 h were accounted as adaptation time; data of the subsequent 72 h were used for analysis. Data included ruminating, eating (min/day), rumination boli (n per day), chewing frequency and intensity during ruminating (chews/min and chews/bolus), and activity changes (switching between ruminating, eating and idle; n per h). The constancy of parameters within cows across measurement days was tested with linear regression models. A linear mixed-effects model was applied to estimate a regression on measured feed intake. Average feed intake per day across all measurements was 19.7 kg dry matter per cow, average eating time was 389 min/day and ruminating time was 551 min/day. For most of the chewing behaviour variables, factor 'cow' was significant, while 'day' was not, indicating a between animals variance but good consistency of the data within animal. After a stepwise backward procedure in the mixed-effects model, the remaining significant variable was 'chewing frequency' (chews per minute during rumination). Inclusion of 'animal' as a random factor resulted in an equation with conditional R-2 = 0.7. The model without random factor revealed a very low R-2. In conclusion, the random factor model allowed estimation of individual changes in feed intake within animal but not across animals. Chewing behaviour measurements proved to have a potential for the detection of relative intake alterations with roughage-based TMR diets but data were not sufficient for quantitative estimations. (C) 2016 Elsevier B.V. All rights reserved.
机译:分析了23头泌乳瑞士Fleckvieh奶牛的咀嚼行为,以评估在基于粗饲料的室内牛饲养系统中定量摄入干物质的预测潜力。以青贮饲料和干草为基础,用不同的浓缩饲料补充剂喂养母牛的总混合日粮(TMR)。将它们保存在领带摊中,以进行单独的饲料摄入量测量。一个月内进行了两次测量。使用RumiWatch(R)传感器项圈记录了咀嚼行为,该项是基于项圈鼻带中的压力管的。母牛在每个测量期间均配备项圈96小时。最初的24小时被视为适应时间;随后72小时的数据用于分析。数据包括反刍,进食(分钟/天),反刍果肉(每天n次),反刍过程中的咀嚼频率和强度(咀嚼/分钟和咀嚼/推注)和活动变化(在反刍,进食和闲置之间切换;每小时n个) )。使用线性回归模型测试了整个测量日奶牛内部参数的恒定性。应用线性混合效应模型来估计测得的采食量的回归。在所有测量中,每天平均采食量为每头母牛19.7千克干物质,平均进食时间为389分钟/天,反刍时间为551分钟/天。对于大多数咀嚼行为变量,因子“牛”很重要,而“天”则不大,表明动物之间存在差异,但动物内部数据具有良好的一致性。在混合效应模型中逐步执行后退步骤后,剩下的显着变量是“咀嚼频率”(反刍期间每分钟咀嚼一次)。包含“动物”作为随机因素会导致方程式的条件R-2 = 0.7。没有随机因素的模型显示出非常低的R-2。总之,随机因素模型可以估算动物内部而不是整个动物的采食量的个体变化。咀嚼行为的测量结果被证明具有检测粗饲料TMR日粮相对摄入量变化的潜力,但数据不足以进行定量估计。 (C)2016 Elsevier B.V.保留所有权利。

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