Loïc Pagès, founding scientist in root ecology and modelling

IF 2.6 Q1 AGRONOMY
L. Pagès
{"title":"Loïc Pagès, founding scientist in root ecology and modelling","authors":"L. Pagès","doi":"10.1093/insilicoplants/diab035","DOIUrl":null,"url":null,"abstract":"Root system scientists strive to understand how a single root, emerging from a plant’s seed, can form a complex, dynamic and plastic network of thousands of individual roots. They investigate how such a network is ideally suited to perform a number of functions required for the harmonious development of the whole plant. Everyone in the community also knows how complicated it can be to study root systems, with tasks ranging from digging plants out of the soil, creating experimental setups that allow the observation of the roots, to quantifying the root network itself or the processes underlying its formation. Within the community, there is one person, Dr Loïc Pagès, who has been working on all these tasks for many years, and who has moved the field forward numerous times. On the occasion of his soon-to-be retirement, we would like to express our appreciation to him via this editorial. Loïc Pagès started studying the development of root systems almost 40 years ago and has not stopped ever since. Providing an exhaustive summary of Loïc’s achievements would be a daunting task (according to Scopus, Loïc has published over 130 papers, with more than 249 collaborators; Fig. 1). Here we would like to highlight some of his key contributions to the field. Loïc has been working on many facets of root research. Most importantly, Loïc spent a lot of time observing roots. He dug out and quantified thousands of root systems of more than 60 different plant species, sometimes from his own garden (Pagès and Kervella 2018). One root system at a time, this rich experimental work was Loïc’s foundation for the discovery and conceptualization of a parsimonious set of developmental rules that he was able to apply to a wide range of plant species (Lecompte et al. 2001; Pagès 2016; Pagès and Kervella 2018). Briefly, these rules highlight the importance of the range—and not the average—of root diameters that can be found within a root system and the allometric relationship between roots of different orders. The unique approach of Loïc was to rely on these rules for designing and implementing computational root models. Loïc Pagès is one of the founding fathers of root system modelling. When he published his first computational model, SARAH, in 1988 (Pagès and Ariès 1988), there were only a handful of scientists working in this emerging research area: him, D. Lungley (Lungley 1973), A. Fitter (Fitter 1987) and A. Diggle (Diggle 1988). SARAH was a simple root growth model that included all the available knowledge about root system development. This was so new at the time that it is easy to imagine the scepticism of some contemporary agronomists (Loïc’s personal communication). But this did not stop him from continuing on this path. Since then, Loïc has published more than 15 different root models (Fig. 2). His modelling work spanned from purely structural models of single species (maize (Pagès et al. 1989), peach tree (Pagès et al. 1992), rubber tree (Thaler and Pagès 1998), Arabidopsis thaliana (Brun et al. 2010)), to generic structural models capable of representing a broad range of root systems, from grasses to trees (RootTyp (Pagès et al. 2004) or RSCone (Pagès et al. 2020b)). Loïc has also developed functional–structural models that included various functions such as water flow (Doussan et al. 1998), carbon allocation (GRAAL (Drouet and Pagès 2003), MassFlowDyn (Bidel et al. 2000)), nutrient allocation (GRAAL-CN (Drouet and Pagès 2007)) or interaction with the surrounding soil (Gérard et al. 2017; Cast et al. 2019). However, the model that best sums up Loïc’s work is probably ArchiSimple (Pagès et al. 2014). As its name suggests, ArchiSimple (SuperSimple in English) requires less than 10 parameters to simulate a complex root system, but is nonetheless able to represent a wide range of complex root architectures (Pagès and Picon‐Cochard 2014; Lobet et al. 2017). As such, ArchiSimple is a powerful tool to synthesize complex and diverse architectures with a small set of data points. Loïc never stopped questioning his modelling approaches: from the use of meta-modelling approaches (Pagès et al. 2020) to the suggestion of new ways of representing the relationship between apical root growth, root diameter and local carbon availability (Pagès et al. 2020). In addition to his modelling work, Loïc has been involved into the thinking and development of sampling techniques in the field (Pellerin et al. 1994; Pagès et al. 2012) and under controlled conditions by designing rhizotrons (Drouet et al. 2005), root image analysis tools (DART (Le Bot et al. 2010), SmartRoot (Lobet et al. 2011)) and root data analysis pipelines (archiDART (Delory et al. 2016), Root System Markup Language (Lobet et al. 2015)). Recently, Loïc has also contributed to the writing of an exhaustive root ecology handbook that provides detailed guidelines and standardized protocols for sampling and classifying roots as well as measuring root traits (Freschet et al. 2021). Finally, in addition to being a leading research scholar and, for part of his career, the head of his department at INRA Avignon, France, Loïc has been a supervisor, a mentor and an enthusiastic colleague and friend to many of us in the field. His door was open to discuss everything related to root system development and beyond, and his advice was always helpful. Dear Loïc, as root researchers, we would like to thank you for everything you have brought to the community, for every model you have developed, for every new concept you have formalized, as well as for all the advice and heated debates you have shared with many of us. We thank you and wish you a long and happy retirement, taking care of your gardens, grandchildren and bees. Thank you, Loïc!","PeriodicalId":36138,"journal":{"name":"in silico Plants","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"in silico Plants","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/insilicoplants/diab035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0

Abstract

Root system scientists strive to understand how a single root, emerging from a plant’s seed, can form a complex, dynamic and plastic network of thousands of individual roots. They investigate how such a network is ideally suited to perform a number of functions required for the harmonious development of the whole plant. Everyone in the community also knows how complicated it can be to study root systems, with tasks ranging from digging plants out of the soil, creating experimental setups that allow the observation of the roots, to quantifying the root network itself or the processes underlying its formation. Within the community, there is one person, Dr Loïc Pagès, who has been working on all these tasks for many years, and who has moved the field forward numerous times. On the occasion of his soon-to-be retirement, we would like to express our appreciation to him via this editorial. Loïc Pagès started studying the development of root systems almost 40 years ago and has not stopped ever since. Providing an exhaustive summary of Loïc’s achievements would be a daunting task (according to Scopus, Loïc has published over 130 papers, with more than 249 collaborators; Fig. 1). Here we would like to highlight some of his key contributions to the field. Loïc has been working on many facets of root research. Most importantly, Loïc spent a lot of time observing roots. He dug out and quantified thousands of root systems of more than 60 different plant species, sometimes from his own garden (Pagès and Kervella 2018). One root system at a time, this rich experimental work was Loïc’s foundation for the discovery and conceptualization of a parsimonious set of developmental rules that he was able to apply to a wide range of plant species (Lecompte et al. 2001; Pagès 2016; Pagès and Kervella 2018). Briefly, these rules highlight the importance of the range—and not the average—of root diameters that can be found within a root system and the allometric relationship between roots of different orders. The unique approach of Loïc was to rely on these rules for designing and implementing computational root models. Loïc Pagès is one of the founding fathers of root system modelling. When he published his first computational model, SARAH, in 1988 (Pagès and Ariès 1988), there were only a handful of scientists working in this emerging research area: him, D. Lungley (Lungley 1973), A. Fitter (Fitter 1987) and A. Diggle (Diggle 1988). SARAH was a simple root growth model that included all the available knowledge about root system development. This was so new at the time that it is easy to imagine the scepticism of some contemporary agronomists (Loïc’s personal communication). But this did not stop him from continuing on this path. Since then, Loïc has published more than 15 different root models (Fig. 2). His modelling work spanned from purely structural models of single species (maize (Pagès et al. 1989), peach tree (Pagès et al. 1992), rubber tree (Thaler and Pagès 1998), Arabidopsis thaliana (Brun et al. 2010)), to generic structural models capable of representing a broad range of root systems, from grasses to trees (RootTyp (Pagès et al. 2004) or RSCone (Pagès et al. 2020b)). Loïc has also developed functional–structural models that included various functions such as water flow (Doussan et al. 1998), carbon allocation (GRAAL (Drouet and Pagès 2003), MassFlowDyn (Bidel et al. 2000)), nutrient allocation (GRAAL-CN (Drouet and Pagès 2007)) or interaction with the surrounding soil (Gérard et al. 2017; Cast et al. 2019). However, the model that best sums up Loïc’s work is probably ArchiSimple (Pagès et al. 2014). As its name suggests, ArchiSimple (SuperSimple in English) requires less than 10 parameters to simulate a complex root system, but is nonetheless able to represent a wide range of complex root architectures (Pagès and Picon‐Cochard 2014; Lobet et al. 2017). As such, ArchiSimple is a powerful tool to synthesize complex and diverse architectures with a small set of data points. Loïc never stopped questioning his modelling approaches: from the use of meta-modelling approaches (Pagès et al. 2020) to the suggestion of new ways of representing the relationship between apical root growth, root diameter and local carbon availability (Pagès et al. 2020). In addition to his modelling work, Loïc has been involved into the thinking and development of sampling techniques in the field (Pellerin et al. 1994; Pagès et al. 2012) and under controlled conditions by designing rhizotrons (Drouet et al. 2005), root image analysis tools (DART (Le Bot et al. 2010), SmartRoot (Lobet et al. 2011)) and root data analysis pipelines (archiDART (Delory et al. 2016), Root System Markup Language (Lobet et al. 2015)). Recently, Loïc has also contributed to the writing of an exhaustive root ecology handbook that provides detailed guidelines and standardized protocols for sampling and classifying roots as well as measuring root traits (Freschet et al. 2021). Finally, in addition to being a leading research scholar and, for part of his career, the head of his department at INRA Avignon, France, Loïc has been a supervisor, a mentor and an enthusiastic colleague and friend to many of us in the field. His door was open to discuss everything related to root system development and beyond, and his advice was always helpful. Dear Loïc, as root researchers, we would like to thank you for everything you have brought to the community, for every model you have developed, for every new concept you have formalized, as well as for all the advice and heated debates you have shared with many of us. We thank you and wish you a long and happy retirement, taking care of your gardens, grandchildren and bees. Thank you, Loïc!
Loïc Pagès,根生态学和建模的创始科学家
根系科学家努力了解从植物种子中长出的单根是如何形成由数千个单根组成的复杂、动态和可塑的网络的。他们研究了这种网络如何理想地适用于执行整个工厂和谐发展所需的许多功能。社区中的每个人都知道研究根系有多复杂,任务包括从土壤中挖出植物,创建可以观察根系的实验装置,以及量化根系网络本身或其形成过程。在社区内,有一个人,Loïc Pagès博士,多年来一直致力于所有这些任务,并多次推动这一领域向前发展。值此他即将退休之际,我们谨通过这篇社论向他表示感谢。Loïc Pagès大约40年前就开始研究根系的发育,此后一直没有停止。对洛伊奇的成就进行详尽的总结将是一项艰巨的任务(根据Scopus的说法,洛伊奇已经发表了130多篇论文,有249多名合作者;图1)。在这里,我们要强调他对该领域的一些关键贡献。Loïc一直致力于根系研究的许多方面。最重要的是,洛伊奇花了很多时间观察根系。他挖掘并量化了60多种不同植物的数千个根系,有时来自自己的花园(Pagès和Kervella,2018)。一次一个根系,这项丰富的实验工作是Loïc发现和概念化一套简约的发育规则的基础,他能够将这些规则应用于广泛的植物物种(Lecompte et al.2001;Pagès 2016;Pagés和Kervella 2018)。简言之,这些规则强调了根系中根系直径范围(而不是平均值)的重要性,以及不同阶根系之间的异速关系。Loïc的独特方法是依靠这些规则来设计和实现计算根模型。Loïc Pagès是根系建模的创始人之一。当他在1988年发表他的第一个计算模型SARAH(Pagès和Ariès 1988)时,只有少数科学家在这个新兴的研究领域工作:他、D.Lungley(Lungley 1973)、a.Fitter(Fitter 1987)和a.Diggle(Diggle 1988)。SARAH是一个简单的根系生长模型,包含了有关根系发育的所有可用知识。这在当时是如此新鲜,以至于很容易想象一些当代农学家的怀疑(洛伊奇的个人交流)。但这并没有阻止他继续走这条路。从那时起,Loïc已经发表了超过15个不同的根模型(图2)。他的建模工作从单一物种的纯结构模型(玉米(Pagès等人,1989年)、桃树(Pagés等人,1992年)、橡胶树(Thaler和Pagès,1998年)、拟南芥(Brun等人,2010年)),到能够代表从草到树的广泛根系的通用结构模型(RootTyp(Pagás等人2004年)或RSCone(Pagàs等人2020b))。Loïc还开发了功能-结构模型,包括各种功能,如水流(Doussan等人,1998年)、碳分配(GRAAL(Drouet和Pagès,2003年)、MassFlowDyn(Bidel等人,2000年))、养分分配(GRAAL-CN(Droute和Pagés,2007年))或与周围土壤的相互作用(Gérard等人,2017;Cast等人,2019)。然而,最能概括Loïc工作的模型可能是ArchiSimple(Pagès等人,2014)。顾名思义,ArchiSimple(英语中的SuperSimple)需要不到10个参数来模拟复杂的根系统,但仍然能够代表各种复杂的根架构(Pagès和Picon‐Cochard 2014;Lobet等人2017)。因此,ArchiSimple是一个强大的工具,可以通过一小组数据点来综合复杂多样的体系结构。Loïc从未停止过对他的建模方法的质疑:从元建模方法的使用(Pagès等人,2020)到代表根尖生长、根直径和局部碳有效性之间关系的新方法的建议(Pagés et al.,2020)。除了建模工作外,Loïc还参与了该领域采样技术的思考和开发(Pellerin等人,1994;Pagès等人,2012),并在受控条件下通过设计根管(Drouet等人,2005)、根图像分析工具(DART(Le Bot等人,2010)、SmartRoot(Lobet等人,2011))和根数据分析管道(archiDART(Delory等人,2016),根系统标记语言(Lobet等人,2015))。最近,Loïc还参与编写了一本详尽的根系生态学手册,该手册为根系采样和分类以及测量根系性状提供了详细的指南和标准化协议(Freschet等人,2021)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
in silico Plants
in silico Plants Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
4.70
自引率
9.70%
发文量
21
审稿时长
10 weeks
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