Association genetics of oleoresin flow in loblolly pine: discovering genes and predicting phenotype for improved resistance to bark beetles and bioenergy potential
Version of Record online: 28 MAR 2013
© 2013 The Authors. New Phytologist © 2013 New Phytologist Trust
Volume 199, Issue 1, pages 89–100, July 2013
How to Cite
Westbrook, J. W., Resende, M. F. R., Munoz, P., Walker, A. R., Wegrzyn, J. L., Nelson, C. D., Neale, D. B., Kirst, M., Huber, D. A., Gezan, S. A., Peter, G. F. and Davis, J. M. (2013), Association genetics of oleoresin flow in loblolly pine: discovering genes and predicting phenotype for improved resistance to bark beetles and bioenergy potential. New Phytologist, 199: 89–100. doi: 10.1111/nph.12240
- Issue online: 28 MAY 2013
- Version of Record online: 28 MAR 2013
- Manuscript Accepted: 15 FEB 2013
- Manuscript Received: 18 JAN 2013
- National Science Foundation Plant Genome Research Program. Grant Number: 0501763
- United States Department of Agriculture CSREES Food and Agricultural Sciences National Needs Graduate Fellowship
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Fig. S1 Oleoresin wet mass and dry mass comparisons.
Fig. S2 A comparison of SNP preselection methods with cross-validation.
Table S1 Formulas for the estimation of heritabilities and correlations
Table S2 Contrasts of average transformed oleoresin dry mass between sites and years
Table S3 Summary of significant SNP associations with transformed oleoresin dry mass
Table S4 Site-specific associations with transformed oleoresin dry mass
Table S5 Tests for associations with SNPs within sequences similar to terpene biosynthetic genes
Table S6 Predicted F1 gains from selection for increased oleoresin flow
Methods S1 Oleoresin dry mass transformation.
Methods S2 Likelihood ratio tests for correlations.
Methods S3 Preselection of SNP loci for association testing.
Methods S4 Tests for subpopulation structure.
Methods S5 Predicting gains from selection.