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.
Original language | English |
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Title of host publication | Progress in Industrial Mathematics at ECMI 2021 |
Editors | M. Ehrhardt, M. Günther |
Place of Publication | Cham |
Publisher | Springer |
Pages | 273-279 |
Number of pages | 7 |
Edition | 1 |
ISBN (Electronic) | 978-3-031-11818-0 |
ISBN (Print) | 978-3-031-11817-3 |
DOIs | |
Publication status | Published - 2022 |
Event | ECMI 2021: Progress in Industrial Mathematics - Online at Wuppertal, Germany Duration: 13 Apr 2021 → 15 Apr 2022 |
Publication series
Name | Mathematics in Industry |
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Volume | 39 |
ISSN (Print) | 1612-3956 |
ISSN (Electronic) | 2198-3283 |
Conference
Conference | ECMI 2021 |
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Country/Territory | Germany |
City | Online at Wuppertal |
Period | 13/04/21 → 15/04/22 |
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-careOtherwise 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.