Costa Corrado, Schurr Ulrich, Loreto Francesco, Menesatti Paolo, Carpentier Sebastien
Consiglio per la Ricerca in Agricoltura e l'analisi dell'economia Agraria-Centro di Ricerca Ingegneria e Trasformazioni Agroalimentari, Rome, Italy.
Forschungszentrum Jülich, IBG-2: Plant Sciences, Jülich, Germany.
Front Plant Sci. 2019 Jan 7;9:1933. doi: 10.3389/fpls.2018.01933. eCollection 2018.
Modern plant phenotyping, often using non-invasive technologies and digital technologies, is an emerging science and provides essential information on how genetics, epigenetics, environmental pressures, and crop management (farming) can guide selection toward productive plants suitable for their environment. Thus, phenotyping is at the forefront of future plant breeding. Bibliometric science mapping is a quantitative method that analyzes scientific publications throughout the terms present in their title, abstract, and keywords. The aim of this mapping exercise is to observe trends and identify research opportunities. This allows us to analyze the evolution of phenotyping research and to predict emerging topics of this discipline. A total of 1,827 scientific publications fitted our search method over the last 20 years. During the period 1997-2006, the total number of publications was only around 6.1%. The number of publications increased more steeply after 2010, boosted by the overcoming of technological bias and by a set of key developments at hard and software level (image analysis and data storage management, automation and robotics). Cluster analysis evidenced three main groups linked to genetics, physiology, and imaging. Mainly the model plant "" and the crops "rice" and "triticum" species were investigated in the literature. The last two species were studied when addressing "plant breeding," and "genomic selection." However, currently the trend goes toward a higher diversity of phenotyped crops and research in the field. The application of plant phenotyping in the field is still under rapid development and this application has strong linkages with precision agriculture. EU co-authors were involved in 41.8% of the analyzed papers, followed by USA (15.4%), Australia (6.0%), and India (5.6%). Within the EU, coauthors were mainly affiliated in Germany (35.8%), France (23.7%), and United Kingdom (18.4%). Time seems right for new opportunities to incentivize research on more crops, in real field conditions, and to spread knowledge toward more countries, including emerging economies. Science mapping offers the possibility to get insights into a wide amount of bibliographic information, making them more manageable, attractive, and easy to serve science policy makers, stakeholders, and research managers.
现代植物表型分析通常采用非侵入性技术和数字技术，是一门新兴科学，它提供了关于遗传学、表观遗传学、环境压力和作物管理（种植）如何指导选择适合其环境的高产植物的重要信息。因此，表型分析处于未来植物育种的前沿。文献计量学科学图谱是一种定量方法，它通过分析科学出版物标题、摘要和关键词中出现的术语来进行研究。这项图谱分析的目的是观察趋势并确定研究机会。这使我们能够分析表型分析研究的发展，并预测该学科的新兴主题。在过去20年中，共有1827篇科学出版物符合我们的搜索方法。在1997年至2006年期间，出版物总数仅占约6.1%。2010年之后，出版物数量增长更为陡峭，这得益于技术偏见的克服以及硬件和软件层面的一系列关键发展（图像分析和数据存储管理、自动化和机器人技术）。聚类分析表明有三个主要组群与遗传学、生理学和成像相关。文献中主要研究了模式植物“”以及作物“水稻”和“小麦”品种。在探讨“植物育种”和“基因组选择”时研究了后两个品种。然而，目前的趋势是朝着更多样化的表型作物和该领域的研究发展。植物表型分析在田间的应用仍在快速发展，并且这种应用与精准农业有很强的联系。欧盟的共同作者参与了41.8%的分析论文，其次是美国（15.4%）、澳大利亚（6.0%）和印度（5.6%）。在欧盟内部，共同作者主要隶属于德国（35.8%）、法国（23.7%）和英国（18.4%）。现在似乎是创造新机会激励在实际田间条件下对更多作物进行研究，并向包括新兴经济体在内的更多国家传播知识的时候了。科学图谱提供了深入了解大量文献信息的可能性，使其更易于管理、更具吸引力，并且便于为科学政策制定者、利益相关者和研究管理人员提供服务。
