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Open AccessArticle

A Proposed Methodology to Analyze Plant Growth and Movement from Phenomics Data

1
Genética Molecular, Instituto de Biotecnología Vegetal, Edificio I+D+I, Plaza del Hospital s/n, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain
2
Biomedical Informatic and Bioinformatic Platform, Biomedical Research Institute of Murcia, University Clinical Hospital ‘Virgen de la Arrixaca’, University of Murcia, 30120 Murcia, Spain
3
Ecología y Nuevas Tecnologías, Avda. Lorca 193, 30835, Sangonera la Seca, 30120 Murcia, Spain
4
Escuela Técnica Superior de Ingeniería de Telecomunicación (DSIE), Campus Muralla del Mar, s/n, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(23), 2839; https://doi.org/10.3390/rs11232839
Received: 14 October 2019 / Revised: 18 November 2019 / Accepted: 25 November 2019 / Published: 29 November 2019
(This article belongs to the Special Issue Advanced Imaging for Plant Phenotyping)
Image analysis of developmental processes in plants reveals both growth and organ movement. This study proposes a methodology to study growth and movement. It includes the standard acquisition of internal and external reference points and coordinates, coordinates transformation, curve fitting and the corresponding statistical analysis. Several species with different growth habits were used including Antirrhinum majus, A. linkianum, Petunia x hybrida and Fragaria x ananassa. Complex growth patterns, including gated growth, could be identified using a generalized additive model. Movement, and in some cases, growth, could not be adjusted to curves due to drastic changes in position. The area under the curve was useful in order to identify the initial stage of growth of an organ, and its growth rate. Organs displayed either continuous movements during the day with gated day/night periods of maxima, or sharp changes in position coinciding with day/night shifts. The movement was dependent on light in petunia and independent in F. ananassa. Petunia showed organ movement in both growing and fully-grown organs, while A. majus and F. ananassa showed both leaf and flower movement patterns linked to growth. The results indicate that different mathematical fits may help quantify growth rate, growth duration and gating. While organ movement may complicate image and data analysis, it may be a surrogate method to determine organ growth potential. View Full-Text
Keywords: plant growth; image acquisition; phenomics; circumnutation; general additive models; circadian clock; growth rate; growth duration; gated growth plant growth; image acquisition; phenomics; circumnutation; general additive models; circadian clock; growth rate; growth duration; gated growth
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MDPI and ACS Style

Díaz-Galián, M.V.; Perez-Sanz, F.; Sanchez-Pagán, J.D.; Weiss, J.; Egea-Cortines, M.; Navarro, P.J. A Proposed Methodology to Analyze Plant Growth and Movement from Phenomics Data. Remote Sens. 2019, 11, 2839.

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