NDLI: Genomic selection in forest tree breeding

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Tree Genetics & Genomes : Volume 7, Issue 1, February 2011

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Tree Genetics & Genomes : Volume 1

Genomic selection in forest tree breeding

Content Provider	Springer Nature Link
Author	Grattapaglia, Dario Resende, Marcos D. V.
Copyright Year	2010
Abstract	Genomic selection (GS) involves selection decisions based on genomic breeding values estimated as the sum of the effects of genome-wide markers capturing most quantitative trait loci (QTL) for the target trait(s). GS is revolutionizing breeding practice in domestic animals. The same approach and concepts can be readily applied to forest tree breeding where long generation times and late expressing complex traits are also a challenge. GS in forest trees would have additional advantages: large training populations can be easily assembled and accurately phenotyped for several traits, and the extent of linkage disequilibrium (LD) can be high in elite populations with small effective population size (N $_{e}$) frequently used in advanced forest tree breeding programs. Deterministic equations were used to assess the impact of LD (modeled by N $_{e}$ and intermarker distance), the size of the training set, trait heritability, and the number of QTL on the predicted accuracy of GS. Results indicate that GS has the potential to radically improve the efficiency of tree breeding. The benchmark accuracy of conventional BLUP selection is reached by GS even at a marker density ~2 markers/cM when N $_{e}$ ≤ 30, while up to 20 markers/cM are necessary for larger N $_{e}$. Shortening the breeding cycle by 50% with GS provides an increase ≥100% in selection efficiency. With the rapid technological advances and declining costs of genotyping, our cautiously optimistic outlook is that GS has great potential to accelerate tree breeding. However, further simulation studies and proof-of-concept experiments of GS are needed before recommending it for operational implementation.
Starting Page	241
Ending Page	255
Page Count	15
File Format	PDF
ISSN	16142942
Journal	Tree Genetics & Genomes
Volume Number	7
Issue Number	2
e-ISSN	16142950
Language	English
Publisher	Springer-Verlag
Publisher Date	2010-10-05
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Genome-wide selection Effective population size Linkage disequilibrium Marker-assisted selection MAS Plant Breeding/Biotechnology Plant Genetics & Genomics Forestry Biotechnology Tree Biology
Content Type	Text
Resource Type	Article
Subject	Genetics Molecular Biology Horticulture Forestry

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