Scientia Agricultura Sinica ›› 2015, Vol. 48 ›› Issue (7): 1428-1436.doi: 10.3864/j.issn.0578-1752.2015.07.17

• ANIMAL SCIENCE·VETERINARY SCIENCERE·SOURCE INSECT • Previous Articles     Next Articles

Study on Digital Network Platform of Large-Scale Dairy Farms

YANG Liang, LÜ Jian-qiang, LUO Qing-yao, XIONG Ben-hai   

  1. Institute of Animal Sciences, Chinese Academy of Agricultural Sciences/State Key Laboratory of Animal Nutrition, Beijing 100193
  • Received:2014-01-27 Online:2015-04-01 Published:2015-04-01

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Abstract: 【Objective】 The purpose of this study is to realize digital management of large scale dairy farms and to increase efficiency of breeding and genetic progress of dairy cows. 【Method】Based on the dairy cows’ production process from estrus, hybridization, pregnancy examination, gestation, calving, lactation, dry and to the next production cycle, also based on dairy cows’ growth stage from calves, heifers, fattening cattle to lactating cows, standards and specifications of essential information of dairy cows were set and dairy cows data management and analysis platform was constructed by using Microsoft. Net framework, SQL Server 2008 database technology and network mapping technology Fusion Charts.【Result】Data management and intelligent analysis platform for breeding, lactation and herd health were realized. The platform includes eight subsystems: system maintenance, cattle management, breeding management, milking management, feeding management, health management, statistical analysis and inner management, total 96 functions are achieved in these subsystems and they are 6, 10, 13, 14, 4, 10, 18 and 21, respectively. The platform realized the remote network database management of essential breeding and lactating process information or data, mainly including the record of whole breeding process of bull and cows, DHI data of different parities, online dynamic analysis of cattle card, directional sorting and output of data, also the average calving interval, parity structure, production performance, genealogy tracking or inbreeding coefficient could be calculated. The intelligent alert of various production events such as estrus, hybridization, pregnancy test, calving lactation, dry milk, lactagogue, elimination and calves weaning, etc. are included, as well as statistical and graphic analysis of various reproductive and lactating parameters like parities and yield distribution maps, comparison chart of annual milk yield, family tree diagram and lactation curves.【Conclusion】All these data mining and analysis expand the available value of production data and supply more convenience for the farm managers to make scientific decisions.

Key words: large-scale farm, breeding, lactation, digital management, genealogy tracking

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