NDLI: Genotype by environment interactions in forest tree breeding: review of methodology and perspectives on research and application

Content Provider	Springer Nature Link
Author	Li, Yongjun Suontama, Mari Burdon, Rowland D. Dungey, Heidi S.
Copyright Year	2017
Abstract	Genotype by environment interaction (G×E) refers to the comparative performances of genotypes differing among environments, representing differences in genotype rankings or differences in the level of expression of genetic differences among environments. G×E can reduce heritability and overall genetic gain, unless breeding programmes are structured to address different categories of environments. Understanding the impact of G×E, the role of environments in generating G×E and the problems and opportunities is vital to efficient breeding programme design and deployment of genetic material. We review the current main analytical methods for identifying G×E: factor analytic models, biplot analysis and reaction norm. We also review biological and statistical evidence of G×E for growth, form and wood properties in forest species of global economic importance, including some pines, eucalypts, Douglas-fir, spruces and some poplars. Among these species, high levels of G×E tend to be reported for growth traits, with low levels of G×E for form traits and wood properties. Finally, we discuss possible ways of exploiting G×E to maximise genetic gain in forest tree breeding. Characterising the role of environments in generating interactions is seen as the basic platform, allowing efficient testing of candidate genotypes. We discuss the importance of level-of-expression interaction, relative to rank-change interaction, as being greater than in many past reports, especially for deployment decisions. We examine the impacts of G×E on tree breeding, some environmental factors that cause G×E and the strategies for dealing with G×E in tree breeding, and the future role of genomics.
Starting Page	1
Ending Page	18
Page Count	18
File Format	PDF
ISSN	16142942
Journal	Tree Genetics & Genomes
Volume Number	13
Issue Number	3
e-ISSN	16142950
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2017-05-09
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Genotype by environment interaction Analytical methodology G×E drivers Impacts Exploring strategy Forest tree breeding Genotypic screening Genotypic deployment Forestry Plant Genetics & Genomics Plant Breeding/Biotechnology Tree Biology Biotechnology
Content Type	Text
Resource Type	Article
Subject	Genetics Molecular Biology Horticulture Forestry

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