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Evaluating the predictive ability of a mechanistic model of nitrogen partitioning applied to lactating dairy cows consuming ryegrass-based diets

机译:评估氮分配机械模型的预测能力,应用于消耗黑麦草饮食的哺乳酸奶牛

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The ability to understand and predict ruminant nitrogen (N) partitioning has become important as concerns over the environmental impact of pastoral agriculture increase. A mechanistic model of N partitioning from dairy cows consuming ryegrass was usedto quantify the amount of N secreted in milk, urine, and faeces, and retained in body tissues. Data from lactating dairy cows (13 N balance experiments) were used to evaluate the model. Predictions for milk, urinary, faecal, and total excreta N were inagreement with observed values. Empirical models have been successful in predicting N partitioning from ruminants, but such approaches lack the underlying biological processes and may not apply to all observed values. An improved representation of the underlying mechanisms of N partitioning and the possibility of identifying areas where knowledge is lacking was achieved by the use of the current mechanistic model.
机译:理解和预测反刍动物氮气(n)分区的能力变得重要,因为对牧区农业的环境影响的担忧增加。消耗黑麦草的乳制奶牛的N分区的机械模型用于量化牛奶,尿和粪便中的N的量,并保留在身体组织中。来自哺乳乳制的奶牛(13 N天平实验)的数据用于评估模型。对牛奶,尿,粪便和总Excreta n的预测因观察到的价值观而被毁坏。经验模型已经成功地预测反刍动物的N分区,但这种方法缺乏潜在的生物过程,可能不适用于所有观察到的值。通过使用当前的机械模型实现了N个分区的基础机制以及识别缺乏知识的可能性的改进。

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