【摘要】 【目的】为牛群品种改良(DHI)和奶牛精细饲养提供系统和完整的产乳数据。【方法】本研究采用Visual Basic6.0、Access数据库、水晶报表等软件开发技术,结合成母牛的泌乳特性和原奶的质量和卫生检测指标,设计了关系型数据表,开发了集约化奶牛场产乳过程的数字化管理系统。【结果】系统提供的对源数据的录入具有智能性,能对不同性质、不同胎次的个体和群体进行指定时间段上产奶数据的多种统计、分析与图形化处理,能动态产生重要的派生数据如成母牛头天数、成母牛日均产、泌乳牛头天数、泌乳牛日均产等,实现了牛群产乳数据多层面的数据挖掘。【结论】通过系统分析和软件开发技术,在全面实现集约化奶牛场产乳环节的数字化管理基础上,并与奶牛的营养需要预测与日粮供给相结合,为按个体或群体实施奶牛的精细饲养和品种改良提供了可能。更多还原

【Abstract】 【Objective】This study was conducted to supply systemic and full milking process data to support implementing of bath dairy herd improvement and digital feeding of dairy cattle.【Method】This study designed relationship structured database and developed a set of digital management information system on milking process of intensive dairy cattle farm by using Visual Basic 6.0, Access databases and crystal report combined with milking characteristics of grown cow, i.e. quality and sanitation testing indexes of raw milk. 【Result】 The system supplies a series of convenient, intelligent input interfaces of crude datum, and can count, analyze and graphically show milking datum based on different types and different fetus of cows or herds in a specific duration, and can dynamically produce some important derived data such as grown cows days, daily average milk production of a grown cow, milk-producing cows days and daily average milk production on a milk-producing cow, etc., and can carry out all-pervasive data mining. 【Conclusion】With the help of system analysis and software design techniques, it is possible to realize precision farming for a dairy cattle herd based on whole digital management of milking process and real-time prediction on nutrient requirements and ration of dairy cattle as well as dairy herd improvement (DHI).更多还原