Data in Brief (Dec 2024)

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

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

Journal volume & issue
Vol. 57
p. 110891

Abstract

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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 Solanum tuberosum) 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 in situ 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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