Fedele Giorgia, Brischetto Chiara, Rossi Vittorio, Gonzalez-Dominguez Elisa
Department of Sustainable Crop Production (DI.PRO.VES.), Università Cattolica del Sacro Cuore di Piacenza, Via Emilia Parmense 84, 29122 Piacenza, Italy.
Horta srl, Via Gorra 55, 29122 Piacenza, Italy.
Plants (Basel). 2022 Mar 9;11(6):724. doi: 10.3390/plants11060724.
In this work, we developed a systematic map to identify and catalogue the literature pertaining to disease modelling for agricultural crops worldwide. Searches were performed in 2021 in the Web of Science and Scopus for papers reporting any type of disease model for 103 crops. In total, 768 papers were retrieved, and their descriptive metadata were extracted. The number of papers found increased from the mid-1900s to 2020, and most of the studies were from North America and Europe. More disease models were retrieved for wheat, potatoes, grapes, and apples than for other crops; the number of papers was more affected by the crop's economic value than by its cultivated area. The systematic map revealed an underrepresentation of disease models for maize and rice, which is not justified by either the crop economic value or by disease impact. Most of the models were developed to understand the pathosystem, and fewer were developed for tactical disease management, strategic planning, or scenario analysis. The systematic map highlights a variety of knowledge gaps and suggests questions that warrant further research.
在这项工作中，我们绘制了一份系统图谱，以识别和编目全球范围内与农作物疾病建模相关的文献。2021年，我们在科学网（Web of Science）和Scopus数据库中进行了检索，查找报告103种作物任何类型疾病模型的论文。总共检索到768篇论文，并提取了它们的描述性元数据。从20世纪中叶到2020年，发现的论文数量有所增加，且大多数研究来自北美和欧洲。与其他作物相比，小麦、土豆、葡萄和苹果的疾病模型检索数量更多；论文数量受作物经济价值的影响大于其种植面积。该系统图谱显示玉米和水稻的疾病模型代表性不足，这在作物经济价值或疾病影响方面都没有合理依据。大多数模型是为了理解病理系统而开发的，而为战术性疾病管理、战略规划或情景分析开发的模型较少。该系统图谱突出了各种知识空白，并提出了值得进一步研究的问题。
