Magnetic resonance imaging, water relation, gene expression and biochemical data for analysis of the effects of water stress on potato plant functioning and tuber development and quality

The data presented in this paper include the original and processed MRI images acquired with a 1.5 T whole-body MRI scanner, describing the growth kinetics, spatialization and appearance of internal defaults of individual tubers of potato plants (Rosanna cultivar of <i>Solanum tuberosum</i>) grown in pots in a semi-controlled environment and exposed to two water regimes. The 2 conditions were a well-watered regime, in which soil moisture was maintained at 70 % of field capacity, and a variable water deficit regime, in which soil moisture was reduced to 20 % of field capacity several times during tuber growth, followed each time by a few-day period of rehydration to 70 % of field capacity. These data are supplemented by physiological, biochemical and gene expression data obtained from the leaves and tubers of additional potato plants grown under the same conditions. All these data contribute to highlight the long-term effects of water stress on plant functioning with a particular focus on the growth kinetics, spatialization and quality of potato tubers. The dataset presented here is related to the research article entitled "Growth kinetics, spatialization and quality of potato tubers monitored <i>in situ</i> by MRI - long-term effects of water stress". It is made publicly available to enable extended analyzes. It is a useful resource for biologists, agronomists and breeders interested in the potato crop, as well as for researchers interested in developing new imaging methods. All data can be used to improve databases on development and quality of tubers and to feed and validate mathematical models.

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Publication Details

Journal
Data in Brief
Published
2024-09-04
DOI
https://doi.org/10.1016/j.dib.2024.110891
Primary Topic
Potato Plant Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Magnetic resonance imaging, water relation, gene expression and biochemical data for analysis of the effects of water stress on potato plant functioning and tuber development and quality

Sylvain Challois, Doriane Dumont, Bastien Billiot, Christophe Langrume et al.
Data in Brief
Potato Plant Research
article

Magnetic resonance imaging, water relation, gene expression and biochemical data for analysis of the effects of water stress on potato plant functioning and tuber development and quality

Sylvain Challois, Doriane Dumont, Bastien Billiot, Christophe Langrume, Franck Jamois, Nusrat Ali, Ghina Hajjar, Lydia Bousset, Aurélien Carrillo, Stéphane Quellec, Solenne Berardocco, Laurent Leport, Maja Musse, Aël Radovcic, Patrick Leconte, Carole Deleu, P Laugier
article en

Abstract

The data presented in this paper include the original and processed MRI images acquired with a 1.5 T whole-body MRI scanner, describing the growth kinetics, spatialization and appearance of internal defaults of individual tubers of potato plants (Rosanna cultivar of <i>Solanum tuberosum</i>) grown in pots in a semi-controlled environment and exposed to two water regimes. The 2 conditions were a well-watered regime, in which soil moisture was maintained at 70 % of field capacity, and a variable water deficit regime, in which soil moisture was reduced to 20 % of field capacity several times during tuber growth, followed each time by a few-day period of rehydration to 70 % of field capacity. These data are supplemented by physiological, biochemical and gene expression data obtained from the leaves and tubers of additional potato plants grown under the same conditions. All these data contribute to highlight the long-term effects of water stress on plant functioning with a particular focus on the growth kinetics, spatialization and quality of potato tubers. The dataset presented here is related to the research article entitled "Growth kinetics, spatialization and quality of potato tubers monitored <i>in situ</i> by MRI - long-term effects of water stress". It is made publicly available to enable extended analyzes. It is a useful resource for biologists, agronomists and breeders interested in the potato crop, as well as for researchers interested in developing new imaging methods. All data can be used to improve databases on development and quality of tubers and to feed and validate mathematical models.

Data in BriefVol. 57
AgroParisTech (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Centre Hospitalier de Saint-Malo (FR), Services déconcentrés d'appui à la recherche Provence-Alpes-Côte d'Azur (FR), Institut de Génétique, Environnement et Protection des Plantes (FR), Université de Rennes (FR)
Conseil Régional de Bretagne, Centre National de la Recherche Scientifique, Centre Mondial de l’Innovation Roullier, Région Bretagne, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, European Regional Development Fund
Clean water and sanitation
Openalex Percentile: Top 83%
Potato Plant Research
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