High-Throughput Analysis of Potato Vitality

Elisa Atza*, Neil Budko

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

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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 languageEnglish
Title of host publicationProgress in Industrial Mathematics at ECMI 2021
EditorsM. Ehrhardt, M. Günther
Place of PublicationCham
PublisherSpringer
Pages273-279
Number of pages7
Edition1
ISBN (Electronic)978-3-031-11818-0
ISBN (Print)978-3-031-11817-3
DOIs
Publication statusPublished - 2022
EventECMI 2021: Progress in Industrial Mathematics - Online at Wuppertal, Germany
Duration: 13 Apr 202115 Apr 2022

Publication series

NameMathematics in Industry
Volume39
ISSN (Print)1612-3956
ISSN (Electronic)2198-3283

Conference

ConferenceECMI 2021
Country/TerritoryGermany
CityOnline at Wuppertal
Period13/04/2115/04/22

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-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.

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