Musse Maja, Challois Sylvain, Hajjar Ghina, Quellec Stéphane, Radovcic Aël, Ali Nusrat, Berardocco Solenne, Dumont Doriane, Laugier Patricia, Leconte Patrick, Carrillo Aurélien, Langrume Christophe, Bousset-Vaslin Lydia, Billiot Bastien, Jamois Franck, Deleu Carole, Leport Laurent
UR OPAALE, INRAE, 17, avenue Cucillé, 35044 Rennes, France.
UMR IGEPP, INRAE, Institut Agro Rennes-Angers, Université de Rennes, La Motte au Vicomte, 35650 Le Rheu, France.
Data Brief. 2024 Sep 3;57:110891. doi: 10.1016/j.dib.2024.110891. eCollection 2024 Dec.
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 ) 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 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.
本文所呈现的数据包括使用1.5T全身MRI扫描仪获取的原始和处理后的MRI图像,描述了在半控制环境下盆栽生长并暴露于两种水分条件下的马铃薯植株(品种为Rosanna)单个块茎内部缺陷的生长动力学、空间分布和外观。这两种条件分别是:充分浇水条件,即土壤湿度维持在田间持水量的70%;可变水分亏缺条件,即在块茎生长期间土壤湿度多次降至田间持水量的20%,随后每次经过几天的复水至田间持水量的70%。这些数据辅以从在相同条件下生长的其他马铃薯植株的叶片和块茎中获得的生理、生化和基因表达数据。所有这些数据有助于突出水分胁迫对植物功能的长期影响,特别关注马铃薯块茎的生长动力学、空间分布和品质。此处呈现的数据集与题为“MRI监测马铃薯块茎的生长动力学、空间分布和品质——水分胁迫的长期影响”的研究文章相关。该数据集已公开提供,以便进行扩展分析。它对于对马铃薯作物感兴趣的生物学家、农学家和育种者,以及对开发新成像方法感兴趣的研究人员来说是一个有用的资源。所有数据可用于完善块茎发育和品质的数据库,并为数学模型提供数据支持和验证。