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Abstract Detail

Systematics Section/ASPT

Huynh, Eric [1], Willyard, Ann [2].

Integrative Data Techniques for Species Delimitation in Ponderosa Pine.

Pinus ponderosa is an economically and ecologically valuable tree species which is in the very early stages of being domesticated. In the past, we have used climate data and our own molecular and morphological data on wild populations to draw conclusions on species assignments and the phylogeography of this species complex. More recently, newly published techniques on integrative data offer exciting opportunities for further analysis. We used these new methods to combine published and unpublished progeny test data collected in common gardens over the course of decades with our own data gathered from wild collections. Using Nonmetric Multidimensional Scaling (NMDS) to standardize the contribution of each data type to the analysis and Gaussian clustering methods, we explored ways to handle missing data. We then compared our integrative results with the inferences from each independent data type to assess conflict and consistency in this group of species.

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1 - Hendrix College, Computer Science, 1600 Washington Ave, Conway, AR, 72032, USA
2 - Hendrix College, Biology Dept, 1600 Washington Ave, Conway, AR, 72032, USA

integrative data
Species delimitation.

Presentation Type: Poster:Posters for Sections
Session: P
Location: Hall D/The Shaw Conference Centre
Date: Monday, July 27th, 2015
Time: 5:30 PM
Number: PSY007
Abstract ID:376
Candidate for Awards:None

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