对比Bayesian B等多种方法的大豆全基因组选择应用研究
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  • 英文篇名:Application Research for Soybean Genomics Selection by Comparing Bayesian B and Other Methods
  • 作者:唐友 ; 郑萍 ; 王嘉博 ; 张继成
  • 英文作者:TANG You;ZHENG Ping;WANG Jia-bo;ZHANG Ji-cheng;Electrical and Information Engineering College,Jilin Agricultural Science and Technology University;College of Electrical and Information,Northeast Agricultural University;Institute of Animal Husbandry,Heilongjiang Academy of Agricultural Sciences;
  • 关键词:Bayesian ; B ; 基因组选择 ; 交叉验证 ; 选种选育
  • 英文关键词:Bayesian B;;Genomic selection;;Cross validation;;Selection and breeding
  • 中文刊名:DDKX
  • 英文刊名:Soybean Science
  • 机构:吉林农业科技学院电气与信息工程学院;东北农业大学电气与信息学院;黑龙江省农业科学院畜牧研究所;
  • 出版日期:2018-06-04 09:21
  • 出版单位:大豆科学
  • 年:2018
  • 期:v.37;No.167
  • 语种:中文;
  • 页:DDKX201803005
  • 页数:6
  • CN:03
  • ISSN:23-1227/S
  • 分类号:30-35
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。
        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.
引文
[1]孙恺,孙健,舒小丽,等.高异黄酮大豆突变体的筛选及其特性初步研究[J].核农学报,2016,30(11):2088-2095.(Sun K,Sun J,Shu X L,et al.Screening and characterization of a high isoflavone soybean mutant[J].Journal of Nuclear Agriculture,2016,30(11):2088-2095.)
    [2]薛永国,魏崃,唐晓飞,等.黑龙江省育成大豆品种性状演变的分析[J].大豆科学,2015,34(3):361-366.(Xue Y G,W L,Tang X F,et al.Analysis of the character evolution of soybean cultivars bred in Heilongjiang province[J].Soybean Science,2015,34(3):361-366.)
    [3]穰中文,周清明.水稻Dirigent基因家族生物信息学分析[J].湖南农业大学学报(自然科学版),2013,39(2):111-120.(Guo Q,Zhou Q M.Bioinformatics analysis of rice DIRIGENT gene family[J].Journal of Hunan Agricultural University(Natural Science Edition),2013,39(2):111-120.)
    [4]周永正.一般混合线性模型固定效应、随机效应与另一随机向量的联合估计[J].数学的实践与认识,2011(19):58-64.(Zhou Y Z.Joint estimation of fixed effects,random effects and another random vector in general mixed linear models[J].Practice and Cognition of Mathematics,2011(19):58-64.)
    [5]Habier D,Fernando R L,Garrick D J.Genomic BLUP decoded:A look into the black box of genomic prediction[J].Genetics,2013,194:597-607.
    [6]Wang C L,Qin Z,Li J,et al.Comparative study of estimation methods for genomic breeding values[J].Science Bulletin,2016,61(5):353-356.
    [7]Meuwissen T H,Hayes B J,Goddard M E.Prediction of total genetic value using genome-wide dense marker maps[J].Genetics,2001,157(4):1819-1829.
    [8]Li B,Yu L X,Xi J J,et al.A widely applicable method for plant genomic DNA extraction[J].Agricultural Biotechnology,2012,12(1):143-186.
    [9]王欣,杨泽峰,徐辰武.基于育种值预测的基因组选择方法的比较[J].Science Bulletin,2015,60(10):925-935,983.(Wang X,Yang Z F,Xu C W.Comparison of genomic selection methods based on prediction of breeding value[J].Science Bulletin,2015,60(10):925-935,983.)
    [10]Tang Y,Liu X L,Wang J B,et al.GAPIT Version 2:An enhanced integrated tool for genomic association and prediction[J].Plant Genome,2016,9(2):1-9.
    [11]Anna W,Jesus A,Petek S,et al.Garrick.Mixture models detect large effect QTL better than GBLUP and result in more accurate and persistent predictions[J].Journal of Animal Science and Biotechnology,2016,7(4):468-473.
    [12]Pan X P,Zhang G Z,Zhang J J,et al.Zoeppritz-based AVO inversion using an improved Markov chain Monte Carlo method[J].Petroleum Science,2017,14(1):75-83.
    [13]王艳,韩英鹏,李文滨.大豆分子标记研究新进展[J].大豆科学,2015,34(1):148-154,162.(Wang Y,Han Y P,Li W B.New progress in the research of soybean molecular markers[J].Soybean Science,2015,34(1):148-154,162.)