Accuracy of genomic selection in biparental populations

Accuracy of genomic selection in biparental

populations of flax (Linum usitatissimum L.)

Frank M.You a,⁎,Helen M.Booker b ,Scott D.Duguid a ,Gaofeng Jia a,b ,Sylvie Cloutier c

a Morden Research and Development Centre,Agriculture and Agri-Food Canada,Morden,MB R6M 1Y5,Canada

Crop Development Centre,Department of Plant Sciences,University of Saskatchewan,51Campus Drive,Saskatoon,SK S7N 5A8,Canada c Ottawa Research and Development Centre,Agriculture and Agri-Food Canada,Ottawa,ON K1A 0C6,Canada A R T I C L E I N F O

A B S T R A C T Article history:

Received 13December 2015

多媒体技术的发展Received in revised form

9March 2016

Accepted 15March 2016

Available online 31March 2016

Flax is an important economic crop for seed oil and stem fiber.Phenotyping of traits such as seed yield,seed quality,stem fiber yield,and quality characteristics is expensive and time consuming.Genomic selection (GS)refers to a breeding approach aimed at selecting preferred individuals based on genomic estimated breeding values predicted by a statistical model based on the relationship between phenotypes and genome-wide genetic markers.We evaluated the prediction accuracy of GS (r MP )and the efficiency of GS relative to phenotypic selection (RE )for three GS models:ridge regression best linear unbiased prediction (RR-BLUP),Bayesian LASSO (BL),and Bayesian ridge regression (BRR),for seed yield,oil content,iodine value,linoleic,and linolenic acid content with a full and a common set of genome-wide simple sequence repeat markers in each of three biparental populations.The three GS models generated similar r MP and RE ,while BRR displayed a higher coefficient of determination (R 2)of the fitted models than did RR-BLUP or BL.The mean r MP and RE varied for traits with different heritabilities and was affected by the geneti

c variation of the traits in the populations.GS for seed yield generated a mean RE of 1.52across populations and marker sets,a value

significantly superior to that for direct phenotypic selection.Our empirical results provide

the first validation of GS in flax and demonstrate that GS could increase genetic gain per unit

time for linseed breeding.Further studies for selection of training populations and markers

吉芬难题are warranted.

Society of China and Institute of Crop Science,CAAS.This is an open access article under

the CC BY-NC-ND license (/licenses/by-nc-nd/4.0/).

Keywords:去离子水ph

Genomic selection

SSR

Flax

Linseed

Seed yield

Fatty acid composition 1.Introduction

Genomic or genome-wide selection (GS)is a breeding method

三叶草成人云南卫视自然密码based on the relationship between phenotype and a genome-

wide set of genetic markers.A practical GS approach in

breeding includes several steps [1–3]:(1)construction of an

optimal training population that is genetically diverse and large;(2)phenotyping individuals of the training population in multiple environments;(3)genotyping individuals of the training population with a genome-wide set of genetic markers;(4)fitting an optimal statistical model based on the phenotypic and genotypic data,and estimating marker effects in the model;(5)genotyping test individuals with the

markers used in GS model fitting;and (6)applying the GS model to T H E C R O P J O U R N A L 4(2016)290–303

⁎Corresponding author.Tel.:+12048227525.

E-mail address:Frank.a (F.M.You).

Peer review under responsibility of Crop Science Society of China and Institute of Crop Science,

CAAS.

/10.1016/j.cj.2016.03.001

2214-5141/Crown Copyright ©2016Production and hosting by Elsevier behalf of Crop Science Society of China and Institute of Crop Science,CAAS.This is an open access article under the CC BY-NC-ND license中国林业局

(/licenses/by-nc-nd/4.0/).A v a i l a b l e o n l i n e a t w w w.s c i e n c e d i r e c t.c o m ScienceDirect

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