Ancient samples in quantitative trait analysis

Swarts, K; Burbano, H

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Ancient samples in quantitative trait analysis

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Swarts, K
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;
Research Group for Ancient Genomics and Evolution, Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

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Burbano, H
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;
Research Group for Ancient Genomics and Evolution, Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

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https://documents.maizegdb.org/maizemeeting/abstracts/2019Program.pdf
(Abstract)

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Citation

Swarts, K., & Burbano, H. (2019). Ancient samples in quantitative trait analysis. Poster presented at 61st Annual Maize Genetics Conference, St. Louis, MO, USA.

Cite as: https://hdl.handle.net/21.11116/0000-000C-BD4B-C

Abstract

Researchers have long recognized that flowering time in maize is highly correlated with other agronomically important traits through shared population structure. We test the use of ancient samples in quantitative analysis of flowering time, a trait for which selection drives population differentiation.