Abstract:

In osder to realize digital management for large scale beef farm and improve breeding efficiency and genetic progress of beef cattle, based on beef cattle production management process from pregnancy, calving, nursing, dry until to the next reproduction circle, this study devided beef cattle growth stage into calve, heifer, fattening cattle to adult cattle, etc. types, and adopted .Net and SQL Server 2008 network digital technology to construct large scale beef cattle farm including reproduction, calving, feeding and nutrition, etc. digital management and intellgent analysis platform. Thus, the remote network digital management on essential part of beef cattle reproduction and fattening production was realized. It mainly included calving interval, parity structure, pedigree tracing and information card per cattle,etc. online dynamic analysis, directional sorting and output of data, and intelligent alert for various production events as cows’ estrus, pregnancy test, claving, weaning, cattle herd transfer, elimination and etc., and also many visual statistical and graphic analysis of various reproductive and lactating parameters. All these data mining and analysis have upgraded the use value of essential data, which was more favorable for large scale beef cattle farm manager to make scientific decision.

Key words: beef cattle, large scale cattle farm, reproduction, digital management, pedigree tracing

摘要：

为满足集约化肉牛场数字化管理水平和提高繁育效率及遗传进展，基于肉牛从妊娠、产犊、哺乳、干奶到下一个繁殖周期的生产管理流程，将肉牛划分为犊牛、青年牛、育肥牛、成年牛等类型，在设计肉牛基本信息的数据标准规范基础上，采用.Net及SQL Server 2008网络数据库技术，构建了规模化肉牛场包括繁殖、产犊到饲养营养等数据管理及智能分析平台，实现了对肉牛繁殖与育肥生产最核心数据的网络远程数字化管理，主要包括胎间距、胎次结构、系谱跟踪及牛只资料卡等在线动态分析与数据的定向排序与输出，包括母牛发情配种、初检复检、产犊、犊牛断奶、转群、淘汰等各类生产事件的智能提醒，以及各种繁殖、育肥参数的可视化图形统计分析等。对生产过程基本数据的分析及与数据挖掘，提升了基础数据的利用价值，更有利于对规模化肉牛场管理者的科学决策。

关键词: 肉牛；规模化牛场；繁殖；数字化管理；系谱跟踪