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Ciencia y Tecnología Agropecuaria

versão impressa ISSN 0122-8706versão On-line ISSN 2500-5308

Resumo

ORJUELA-GARZON, William Alejandro; ARAQUE ECHEVERRY, Wilson Arlen  e  CABRERA PEDRAZA, Rafael. Identification of technologies and methods for the early detection of Huanglongbing (HLB) through scientometrics in scientific articles and patents. Cienc. Tecnol. Agropecuaria [online]. 2020, vol.21, n.2, e1208.  Epub 30-Mar-2020. ISSN 0122-8706.  https://doi.org/10.21930/rcta.vol21_num2_art:1208.

The aim of this study was to identify scientific and technological trends in the detection of Huanglongbing (HLB) or “citrus greening”, one of the most devastating diseases for citrus worldwide, as well as the main actions that are being carried out to mitigate the impact of the disease in the citrus-producing sector. The rapid and timely detection of this disease is key for producers because corrective actions can be proposed, which prevent a total loss of production, an effective cure is still unknown. A review of publications in scientific and technological databases was carried out to fill the gap knowledge, gathering data available between 2007 and 2018. The review was based on a technology surveillance methodology. The results were analyzed and processed, employing the Matheo Analyzer software, which identified topic variables for future studies. From the results obtained, it was evident that the United States and China are the countries that have a notable interest in the subject. In the area of early detection of HLB, the main research actors are the University of Florida and the USDA (United States Department of Agriculture). Among the early detection technologies and methods for this disease to be considered, several relevant areas of research and technological development were observed, including remote sensing from electromagnetic radiation captured by sensors. Another research area of interest was biochemistry and genetics, where molecular identification techniques, such as isothermal amplification and rapid polymerase chain reaction (PCR), are highlighted.

Palavras-chave : Candidatus Liberibacter spp.; citrus; Diaphorina citri; greening; technological surveillance.

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