CBR在种猪育种的应用  

Application of CBR in Pig Breeding

作　　者：陈捷[1] 苏显[2] CHEN Jie;SU Xian(School of Computer and Design, Guangdong Jidian Polytechnic, Guangzhou 510515;Libray of Guangdong Jidian Polytechnic, Guangzhou 510515)

机构地区：[1]广东机电职业技术学院计算机与设计学院,广州510550 [2]广东机电职业技术学院图书馆,广州510550

出　　处：《现代计算机》2018年第8期20-24,共5页Modern Computer

摘　　要：种猪育种遇到种群不足,品种单一,系谱数据不合理,遗传评估值不准确,育种效率低等问题,研究利用CBR案例推理知识和CBR的持续学习能力特点进行育种,解决信息不齐全和不准确的问题,与BLUP法和基因法相互补充,在自动化和智能化育种系统上相互辅助,相互印证,降低育种的成本,提高育种的可靠性、准确性、智能化水平和经济效益。Pig breeding faces the problem of the population shortage, single species, pedigree data unreasonable, genetic evaluation value is not accurate, the low efficiency of breeding, the advantage of CBR case based reasoning knowledge and continuous learning ability for breeding, solves the information missing and inaccurate, with the BLUP method and genetic method to complement each other, assist each other, confirm each other, reduce the cost of breeding, improve the reliability and accuracy and intelligence level and economic benefits of breeding.

关 键 词：CBR 育种 BLUP 

分 类 号：S828[农业科学—畜牧学]