Quambalaria shoot blight resistance in marri (Corymbia calophylla) : genetic parameters and correlations between growth rate and blight resistance
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Date
Authors
Duong, Hoa Thanh
Mazanec, Richard
McComb, Jennifer A.
Burgess, Treena I.
Hardy, Giles E. St. J.
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract
Quambalaria shoot blight (QSB) has emerged recently as a severe disease of Corymbia calophylla (marri). In this study, QSB
damage and growth were assessed in Corymbia calophylla trees at 4 and 6 years of age in two common gardens consisting
of 165 and 170 open-pollinated families representing 18 provenances across the species’ natural distribution. There were
significant differences between provenances for all traits. The narrow-sense heritability for growth traits and QSB damage at
both sites were low to moderate. The genetic correlation between QSB damage and growth traits was negative; fast-growing
families were less damaged by QSB disease. Age-age genetic correlations for individual traits at four and six years were very
strong, and the type-B (site–site) correlations were strongly positive for all traits. Provenances from cooler wetter regions
showed higher resistance to QSB. The QSB incidence at 6 years was significantly correlated with environmental factors of
the provenance’s origin. The QSB incidence at years four and six was not correlated with the QSB expression in 3-month-old
seedlings. Based on these results, selection for resistance could be undertaken using 4-year-old trees. There is potential for
a resistance breeding program to develop populations of marri genetically diverse and resistant to QSB.
Description
Keywords
Breeding for disease resistance, Genetic variation, Heritability, Genetic correlation, Quambalaria pitereka, Quambalaria shoot blight (QSB)
Sustainable Development Goals
Citation
Duong, H.T., Mazanec, R., McComb, J.A. et al. Quambalaria shoot blight resistance in marri (Corymbia calophylla): genetic parameters and correlations between growth rate and blight resistance. Tree Genetics & Genomes 18, 8 (2022). https://doi.org/10.1007/s11295-022-01540-3.
