[1]唐友,郑萍,王嘉博,等.对比Bayesian B等多种方法的大豆全基因组选择应用研究[J].大豆科学,2018,37(03):535-358.[doi:10.11861/j.issn.1000-9841.2018.03.0353]
　TANG You,ZHENG Ping,WANG Jia-bo,et al.Application Research for Soybean Genomics Selection by Comparing Bayesian B and Other Methods[J].Soybean Science,2018,37(03):535-358.[doi:10.11861/j.issn.1000-9841.2018.03.0353]
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对比Bayesian B等多种方法的大豆全基因组选择应用研究

《大豆科学》[ISSN:1000-9841/CN:23-1227/S] 卷: 第37卷 期数: 2018年03期 页码: 535-358 栏目: 出版日期: 2018-05-20
Title:
Application Research for Soybean Genomics Selection by Comparing Bayesian B and Other Methods
作者:
唐友1; 郑萍2; 王嘉博3; 张继成2
（1.吉林农业科技学院 电气与信息工程学院,吉林 吉林 132101; 2.东北农业大学 电气与信息学院,黑龙江 哈尔滨 150030; 3.黑龙江省农业科学院 畜牧研究所,黑龙江 哈尔滨 150086）
Author(s):
TANG You1;  ZHENG Ping2;  WANG Jia-bo3;  ZHANG Ji-cheng2
(1.Electrical and Information Engineering College,Jilin Agricultural Science and Technology University, Jilin 132101, China; 2.College of Electrical and Information,Northeast Agricultural University, Harbin 150030, China; 3.Institute of Animal Husbandry,Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China)
关键词:
Bayesian B; 基因组选择; 交叉验证; 选种选育
Keywords:
Bayesian B;  Genomic selection;  Cross validation;  Selection and breeding
DOI:
10.11861/j.issn.1000-9841.2018.03.0353
文献标志码:
A
摘要:
为提高育种家选种选育的效率，运用统计学手段对两组大豆的基因型数据及对应的真实性状设置不同遗传力及有效位点数，模拟不同性状进行运算来预测精准值。采用交叉验证重复百次使预测值趋于稳定，对比分析Bayesian B及常见的几种基因组选择方法。结果图形直观展示出Bayesian B方法效果较好且较稳定，说明Bayesian B方法在大豆全基因组选择上有较明显的优势，可以在大豆育种分析中辅助使用。同时，介绍了Bayesian B方法的应用，以便指导大豆品种选育。
Abstract:
In order to improve the breeding efficiency, different heritability and effective loci were set up by the genotype data and corresponding real characters of two groups of soybean to simulate the accuracy of different characters,statistical methods were used to simulate different characters to predict precise values. Cross validation repeated hundreds of times to stabilize the prediction value, compare and analyze Bayesian B and several common methods of genomic selection. The results showd that the Bayesian B method was better and more stable, indicating that the Bayesian B method had obvious advantages in the selection of soybean whole genome, which could be used in soybean breeding. At the same time, the application of Bayesian B method was introduced to guide the soybean breeding.

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备注/Memo

收稿日期：2018-02-05

第一作者简介：唐友（1979-），男，博士，教授，高级工程师，主要从事生物信息学、软件工程研究。E-mail：tangyou@neau.edu.cn。
通讯作者：张继成（1980-），男，博士，高级工程师，主要从事农业机器化研究。E-mail：zhangjicheng@neau.edu.cn。

更新日期/Last Update: 2018-06-07