商业化肉牛繁育大数据平台设计与关键技术

doi:10.12133/j.smartag.SA202203005

Smart Agriculture ›› 2022, Vol. 4 ›› Issue (2): 99-109.doi: 10.12133/j.smartag.SA202203005

• 专题——智慧畜牧关键技术与装备 • 上一篇下一篇

商业化肉牛繁育大数据平台设计与关键技术

马为红¹^,²(), 李嘉位¹^,², WANG Zhiquan³, 高荣华¹^,², 丁露雨¹^,², 于沁杨¹^,², 余礼根¹^,², 赖成荣¹^,², 李奇峰¹^,²()

^1.北京市农林科学院信息技术研究中心，北京 100097
^2.国家农业信息化工程技术研究中心，北京 100097
^3.Agricultural，Life and Environmental Sci-Ag，Food & Nutrition Science Department，University of Alberta，Edmonton，T6G 2R3，Canada

收稿日期:2022-03-07 出版日期:2022-06-30
基金资助:
国家重点研发计划重点专项国际合作项目(2018YFE0108500)
作者简介:马为红（1987－），男，博士，高级工程师，研究方向为智慧畜牧。E-mail：maweihong01@163.com
通信作者: 李奇峰（1981－），男，博士，研究员，研究方向为智慧畜牧。E-mail：nercita1017@163.com

Design and Key Technologies of Big Data Platform for Commercial Beef Cattle Breeding

MA Weihong¹^,²(), LI Jiawei¹^,², WANG Zhiquan³, GAO Ronghua¹^,², DING Luyu¹^,², YU Qinyang¹^,², YU Ligen¹^,², LAI Chengrong¹^,², LI Qifeng¹^,²()

^1.Research Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
^2.National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
^3.Agricultural, Life and Environmental Sci - Ag, Food & Nutrition Science Department, University of Alberta, Edmonton, T6G 2R3, Canada

Received:2022-03-07 Online:2022-06-30

摘要/Abstract

摘要：

针对当前中国肉牛繁育管理水平和信息化智能化水平不高等问题，本研究借鉴国际先进肉牛养殖国家的经验，建立了适合中国的商业化肉牛繁育大数据平台。该平台主要完成肉牛种质信息资源的整合，在线自动测定肉牛关键繁育性状，全程服务支撑肉牛繁育过程，形成肉牛种质资源大数据分析决策，并实现肉牛联合育种创新模式。本文详细介绍了商业化肉牛繁育大数据软件平台开发思路，包括数据中心的实现、软件平台前端开发技术和后端开发技术等，并总结了该平台的关键技术创新和模式创新内容，包括肉牛种质资源与良种管理系谱深度挖掘技术，非接触式繁育性状自动获取评价技术，以及多源异构信息融合提供智能决策支持等，为中国肉牛种业发展提供可持续发展的信息化解决方案，以促进肉牛育种整体水平的提高。

关键词: 大数据平台, 信息资源整合, 大数据分析决策, 性状在线测定, 联合育种

Abstract:

Focusing on the low level of management and informatization and intelligence of the beef cattle industry in China, a big data platform for commercial beef cattle breeding, referring to the experience of international advanced beef cattle breeding countries, was proposed in this research. The functions of the platform includes integrating germplasm resources of beef cattle, automatic collecting of key beef cattle breeding traits, full-service support for the beef cattle breeding process, formation of big data analysis and decision-making system for beef cattle germplasm resources, and joint breeding innovation model. Aiming at the backward storage and sharing methods of beef cattle breeding data and incomplete information records in China, an information resource integration platform and an information database for beef cattle germplasm were established. Due to the vagueness and subjectivity of the breeding performance evaluation standard, a scientific online evaluation technology of beef cattle breeding traits and a non-contact automatic acquisition and intelligent calculation method were proposed. Considering the lack of scientific and systematic breeding planning and guidance for farmers in China, a full-service support system for beef cattle breeding and nanny-style breeding guidance during beef cattle breeding was developed. And an interactive progressive decision-making method for beef cattle breeding to solve the lack of data accumulation of beef cattle germplasm was proposed. The main body of breeding and farming enterprises was not closely integrated, according to that, the innovative breeding model of regional integration was explored. The idea of commercial beef cattle breeding big data software platform and the technological and model innovation content were also introduced. The technology innovations included the deep mining of germplasm resources data and improved breed management pedigree, the automatic acquisition and evaluation technology of non-contact breeding traits, the fusion of multi-source heterogeneous information to provide intelligent decision support. The future goal is to form a sustainable information solution for China's beef cattle breeding industry and improve the overall level of China's beef cattle breeding industry.

Key words: big data platform, data resource integration, big data analysis and decision-making, online determination of traits, joint breeding

中图分类号:

F326.3

马为红, 李嘉位, WANG Zhiquan, 高荣华, 丁露雨, 于沁杨, 余礼根, 赖成荣, 李奇峰. 商业化肉牛繁育大数据平台设计与关键技术[J]. 智慧农业(中英文), 2022, 4(2): 99-109.

MA Weihong, LI Jiawei, WANG Zhiquan, GAO Ronghua, DING Luyu, YU Qinyang, YU Ligen, LAI Chengrong, LI Qifeng. Design and Key Technologies of Big Data Platform for Commercial Beef Cattle Breeding[J]. Smart Agriculture, 2022, 4(2): 99-109.

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商业化肉牛繁育大数据平台设计与关键技术

Design and Key Technologies of Big Data Platform for Commercial Beef Cattle Breeding

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