Scientia Agricultura Sinica ›› 2013, Vol. 46 ›› Issue (12): 2550-2557.doi: 10.3864/j.issn.0578-1752.2013.12.016

• ANIMAL SCIENCE·VETERINARY SCIENCERE • Previous Articles     Next Articles

Study on Network Database Platform of Hill-Black Swine Breeding Data

 YANG  Liang, XIONG  Ben-Hai, 吕Jian-Qiang , CHANG  Le, SUN  Xiu-Kun   

  1. 1.Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193
    2.Jilin City Jing-qi-shen Organic-Agricultural Ltd. Company, Changchun 130052
  • Received:2012-11-19 Online:2013-06-15 Published:2013-03-18

Abstract: 【Objective】 The aim of the study is to preserve resource data and to increase efficiency of breeding and genetic improvement of Hill-Black breeding pigs. 【Method】 Based on the North Hill Black pigs production process from progenitor to parents and to its commodity pigs, the pigs in breeding farm were divided into breeding boar, mothball boar, breeding sow, mothball sow, grew boar, grew sow, finishing boar, finishing sow and so on, and the standards and specifications of essential information of breeding pigs were designed. 【Result】 The study constructed pig breeding data management and analysis platform by using. Net and SQL Server 2008 network database technology, and realized remote network database management of essential breeding process information or data, and it could analyze some derived indexes including calving interval, low production sow and high production sow so on on-line, and it also realized intelligent alert of various production events such as mating, parturition, weaning, transfer group and culling.【Conclusion】 Regardless of how complicated in types, quantity and generation reproduction of the Hill-Black breeding pigs, it is possible to do a integrated data management, analysis and intelligent decision-making by developing a network computing system in terms of a series of databases, business logics and corresponding models.

Key words: Hill-Black swine , breeding data , network database , data analysis , graphical analysis

[1]徐树利, 敖文利. 我国地方猪种的优良特性. 科技传播, 2010(4): 100-101.

Xu S L, Ao W L. The superior characteristics of Chinese local pig species. Science and Technology Communication, 2010(4): 100-101. (in Chinese)

[2]乔绍权. 四川省地方猪种的生产性能及利用前景初探. 四川畜牧兽医, 1994(2): 2-4.

Qiao S Q. Prospect of production performance and utilization on local pig breeds of Sichuan province. Sichuan Animal Science and Veterinary, 1994(2): 2-4. (in Chinese)

[3]International Livestock Research Institute. http://dagris.ilri.cgiar.org/, 2012.

[4]Food and Agriculture Organization of the United Nations. http://www.fao.org/ag/againfo/themes/en/poultry/AnGR.html, 2012.

[5]Agritec. http://www.agritecsoft.com/en/porcitec/reports/, 2012.

[6]Agrovision B V. http://www.pigwin.com/productline/, 2012.

[7]熊本海, 马月辉, 罗清尧, 庞之洪. 中国畜禽品种资源网络数据库系统的构建. 畜牧兽医学报, 2005, 36(1): 43-47.

Xiong B H, Ma Y H, Luo Q Y, Pang Z H. Construction of network database on animal genetic resources in China. Acta Veterinaria et Zootechnica Sinica, 2005, 36(1): 43-47. (in Chinese)

[8]孙德林. 工厂化养猪计算机管理系统. 北京: 中国农业大学出版社, 1998.

Sun D L. Computer Management System on Factory Swine Farming. Beijing: China Agriculture University Press, 1998. (in Chinese)

[9]熊本海. 种猪场精细饲养综合技术平台. 北京: 中国农业科学技术出版社, 2005.

Xiong B H. Comprehensive Technology Platform on Breeding Swine Precision Farming. Beijing: China Agriculture Science and Technology Press, 2005. (in Chinese)

[10]周海深, 齐志明. 工厂化养猪生产猪群管理参数的确定. 养猪, 2000(1): 36-37.

Zhou H S, Qi Z M. Determination of management parameters of production swine herd based on factory method. Swine Farming, 2000(1): 36-37. (in Chinese)

[11]王楚端, 王新谋. 规模化猪场各类猪群存栏及占栏头数的计算. 现代畜牧兽医, 2005(1): 8-9.

Wang C D, Wang X M. All kinds swine groups stocks and their computation of pened amount. Modern Animal Science and Veterinary, 2005(1): 8-9. (in Chinese)

[12]刘庭科, 黄学斌. 现代规模猪场管理要点浅析. 中国猪业, 2012(3): 14-15.

Liu T K, Huang X B. Analysis of management key-points on modern large-size swine farm. China Swine Industry, 2012(3): 14-15. ( in Chinese)

[13]吕健强, 杨亮. 利用工厂化养猪理论参数动态监测猪群生产. 农业网络信息, 2006(8): 23-24.

Lü J Q, Yang L. Dynamic supervision of a swine herd production with the factory farming theory parameters. Agriculture Network Information, 2006(8): 23-24. (in Chinese)

[14]吴常信, 阎汉平. 英汉畜牧词典. 北京: 中国农业出版社, 2006.

Wu C X, Yan H P. English-Chinese Dictionary of Animal Husbandary. Beijing: China Agriculture Press, 2006. (in Chinese)

[15]Richter J. 李建忠译. Microsoft.NET框架程序设计. 北京: 清华大学出版社, 2003.

Richter J. Translated by Li J Z. Microsoft.NET Framework Program Design. Beijing: Tsinghua University Press, 2003. (in Chinese)

[16]FusionCharts Technologies LLP. http://www.fusioncharts.com/, 2012.

[17]http://ftp1.businessobjects.com/webprod/crxi/14-50079-085.zip.

[18]Mertens K, Decuypere E, de Baerdemaeker J, de Ketelaere B. Statistical control charts as a support tool for the management of livestock production. Journal of Agricultural Science, 2011, 149: 369-384.

[19]梁晓辉, 王正来. 规模化种猪场母猪高效生产综合技术. 畜禽业, 2007(219): 22-23.

Liang X H, Wang Z L. The comprehensive technology of high efficiency production on large-scale breeding swine farm. Livestock and Poultry Industry, 2007(219): 22-23. (in Chinese)

[20]滕小华. 猪繁育体系的经济效益及其模拟分析. 养猪研究, 1994(94): 56-59.

Teng X H. Economic efficiency and model analysis. Study of Swine Farming, 1994(94): 56-59. (in Chinese)

[21]Huirne R B M, Dijkhuizen A A, Renkema J A. Economic optimization of sow replacement decision on the personal computer by method of stochastic dynamic programming. Livestock Production Science, 1991, 28(4): 331-347.

[22]Kristemen A R, Søllested T A. A sow replacement model using bayesian updating in a three hierarchic markov process.I.biological model.Livestock Production Science, 2004, 87(1): 13-24.

[23]陈元琳. 基于人工神经网络的动态系统仿真模型和算法研究[D]. 大庆: 大庆石油学院, 2006.

Chen Y L. Study on models and algorithms of artificial neural networks used in dynamic system simulation[D]. Daqing: Daqing Petroleum College, 2006. (in Chinese)

[24]柴琦丽. 种猪场生产系统动态仿真模型的研究[D]. 哈尔滨: 东北农业大学, 2006.

Chai Q L. The study on the dynamic emulation model of the pig breeding farm prodution system[D]. Harbin: North-East Agriculture University, 2006. (in Chinese)
No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!