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A model of diurnal grazing patterns and herbage intake of a dairy cow, MINDY: Model description

机译:MINDY日间放牧模式和牧草摄入量模型:模型描述

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Estimates of herbage intake and parallel measurements of ingestive and digestive behaviors of grazing ruminants pose considerable experimental and technical difficulties, owing to dynamic interactions between the plant, the rumen and the animal. As a consequence, advances in the area have been slow and costly. Model simulations that capture such interactions are critical for research and management decisions involving the grazing process. This work describes MINDY, a mathematical, mechanistic and dynamic simulation model of the diurnal grazing pattern of a dairy cow. MINDY is based on a cluster of three models: (1) Molly (Baldwin, 1995), a model of ruminant digestion and metabolism; (2) a model representing feed consumption as a function of diurnal fluctuations in the internal state of the animal; and (3) a sward structure, herbage quality and grazing behavior model. The objective of the work was to describe the diurnal grazing pattern, including ingestive actions and rumination behaviors, herbage intake, and nutrient supply to the animal in response to the animal's internal state and grazing environment. The model was coded in ACSL and simulations were conducted using ACSLXtreme. In addition to dietary nutrient composition required by Molly, MINDY requires sward surface height and mass, and grazing area offered to the cow. Key sub-model parameters were identified by sensitivity analyses and parameterized using two data sets from mid-lactation Friesian and late lactation Holstein dairy cows breeds under set stock conditions. The parameterized model predicted realistic estimates of ingestive behavior for different cow genotypes managed under set stocking and rotational grazing. It also predicted a realistic number of steps taken while eating and searching and sward defoliation dynamics as well as diurnal fluctuations of digestion and metabolism. Additional evaluations are required and further data may be needed to better define some parameters, but the model offers promise as an heuristic tool for feed intake and grazing process research and as an informative tool for grazing and cow management decisions.
机译:由于植物,瘤胃和动物之间的动态相互作用,估计牧草的摄入量以及对放牧反刍动物的消化和消化行为进行平行测量构成了相当大的实验和技术难题。结果,该领域的进展缓慢且昂贵。捕获此类交互的模型仿真对于涉及放牧过程的研究和管理决策至关重要。这项工作描述了MINDY,这是一头奶牛昼间放牧模式的数学,机械和动态仿真模型。 MINDY基于三个模型的集合:(1)Molly(Baldwin,1995),一种反刍动物的消化和代谢模型; (2)代表饲料消耗量作为动物内部状态每日波动的函数的模型; (3)草地结构,牧草质量和放牧行为模型。这项工作的目的是描述日间放牧模式,包括摄食行为和反刍行为,牧草的摄入以及响应动物内部状态和放牧环境而向动物提供的营养。该模型以ACSL编码,并使用ACSLXtreme进行了仿真。除了莫莉(Molly)所需的饮食营养成分外,MINDY还需要草皮表面的高度和质量以及提供给母牛的放牧面积。通过敏感性分析确定关键的子模型参数,并在设定的饲养条件下使用来自哺乳中期弗里斯兰和泌乳后期荷斯坦奶牛品种的两个数据集进行参数化。参数化模型预测了在固定放养和轮牧条件下管理的不同基因型奶牛的摄食行为的现实估计。它还预测了进食和搜索时所采取的实际步骤,以及草地的落叶动态以及消化和代谢的日间波动。需要进行额外的评估,并可能需要更多的数据来更好地定义一些参数,但是该模型有望作为饲料采食和放牧过程研究的启发式工具,以及为放牧和奶牛管理决策提供信息的工具。

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