首页> 外文期刊>Journal of dairy science >A Stochastic Model Simulating the Feeding-Health-Production Complex in a Dairy Herd
【24h】

A Stochastic Model Simulating the Feeding-Health-Production Complex in a Dairy Herd

机译:奶牛群中喂养健康生产综合体的随机模型

获取原文
获取原文并翻译 | 示例
       

摘要

A dynamic, stochastic, and mechanistic Monte Carlo model, simulating a dairy herd with focus on the feed- ing-health-production complex is presented. By speci- fying biological parameters at cow level and a manage- ment strategy at herd level, the model can simulate the technical and economic consequences of scenarios at herd level. The representation of the feeding-health- production complex is aimed to be sufficiently detailed, to include relationships likely to cause significant herd effects, and to be sufficiently simple to enable a feasible parameterization of the model and interpretation of the results from the model. Consequently, diseases are defined as four disease types: two metabolic disease types, an udder disease type, and a reproductive disease type. Risk factors for the diseases were defined as par- ity, yield capacity, disease recurrence, disease interre- lationships, lactation stage, and season. Direct effects of the diseases were defined according to milk yield, feed intake, feed utilization, conception, culling, involuntary removal, and death. Scenarios differing in base risks of milk fever and ketosis, heat detection rate, and culling strategy were simulated for describing the model behavior. Annual milk yield per cow was decreased by increased risk of ketosis and by increased risk of milk fever, even though no direct effect of milk fever on milk yield was modeled at the cow level. The indirect effect from milk fever is a consequence of increased replacement rate (relatively lower milk yield from younger cows). By ignoring the history of milk fever in insemination and replacement decisions, a significantly reduced net income per cow was found in some herds. We concluded that important benefits from using such a herd model are the capability of accounting for herd management factors and the ad- vantage of avoiding to double count the indirect effects from disease, such as increased risk of other diseases, poorer reproduction results, and increased risk of cull- ing and death.
机译:提出了一个动态的,随机的和机械的蒙特卡洛模型,该模型模拟了奶牛群,重点是喂养-健康-生产综合体。通过在母牛一级指定生物学参数并在畜群一级指定管理策略,该模型可以模拟畜群一级方案的技术和经济后果。喂养保健生产综合体的表示旨在足够详细,以包括可能引起显着畜群效应的关系,并足够简单以使模型的可行参数化和模型结果的解释成为可能。因此,疾病被定义为四种疾病类型:两种代谢疾病类型,乳房疾病类型和生殖疾病类型。疾病的风险因素定义为胎次,产量,疾病复发,疾病相互关系,泌乳阶段和季节。根据牛奶产量,采食量,饲料利用率,受孕,剔除,非自愿清除和死亡来定义疾病的直接影响。为了描述模型行为,模拟了牛奶发烧和酮症基本风险,热检测率和剔除策略不同的场景。尽管没有在牛奶水平上模拟牛奶热对牛奶产量的直接影响,但由于酮病风险增加和牛奶热风险增加,每头牛的年产奶量降低了。牛奶热的间接影响是替代率提高的结果(相对而言,年轻母牛的牛奶产量相对较低)。通过忽略授精和替代决定中的乳热史,在某些牛群中发现每头牛的纯收入大大减少。我们得出的结论是,使用这种牛群模型的重要好处是能够计算牛群管理因素,并避免对疾病的间接影响进行重复计算,例如增加其他疾病的风险,繁殖结果较差和增加的优势。有受伤和死亡的危险。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号