High-Throughput Analysis of Potato Vitality

Book Chapter (2022)
Author(s)

E. Atza (TU Delft - Numerical Analysis)

N.V. Budko (TU Delft - Numerical Analysis)

Research Group
Numerical Analysis
Copyright
© 2022 E. Atza, N.V. Budko
DOI related publication
https://doi.org/10.1007/978-3-031-11818-0_36
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 E. Atza, N.V. Budko
Research Group
Numerical Analysis
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
273-279
ISBN (print)
978-3-031-11817-3
ISBN (electronic)
978-3-031-11818-0
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Vitality is a fundamental trait for the development of a plant. It is known to depend on various factors, such as climate, soil, and the plant’s genetics, but the progressive depletion of soil nutrients make it a priority for the industry to pinpoint which of the controllable qualities of a seed have the biggest impact on vitality. This work describes techniques applied in a high-throughput phenotyping project, the first of this magnitude for a complex plant, the potato (solanum tuberosum). We also present the results of an analysis of associations between the chemical composition of the seed potatoes and field performance, solving the arising underdetermined linear systems by means of PLS regression. We show that some but not all of the chemical data is strongly associated to vitality.

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