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dc.contributor.authorGallegos-Cedillo, Victor M.
dc.contributor.authorDiánez Martínez, Fernando José 
dc.contributor.authorNájera, Cinthia
dc.contributor.authorSantos Hernández, Milagrosa 
dc.date.accessioned2021-11-25T13:42:23Z
dc.date.available2021-11-25T13:42:23Z
dc.date.issued2021-11-15
dc.identifier.issn2073-4395
dc.identifier.urihttp://hdl.handle.net/10835/13074
dc.description.abstractPlant quality and survival prediction tools are useful when applied in the field in different agricultural sectors. The objectives of this study were to conduct a review and bibliometric analysis of the Dickson Quality Index (DQI) as a key plant quality indicator and with respect to its scientific applications. A third objective was to identify the main morphological and physiological parameters used in plant production research. The methodology and findings of 289 scientific articles were analysed based on the morphological, physiological, and mathematical parameters used as plant quality indicators in research on forest, medicinal, horticultural, aromatic, and ornamental species. During the last 10 years, the number of publications that have used the DQI as a plant quality parameter has increased by 150%, and Brazilian researchers stand out as the most frequent users. Forestry is the discipline where quality parameters and their biometric relationships are most often used to facilitate intensive plant production. Use of the DQI increases the certainty of prediction, selection, and productivity in the plant production chain. The DQI is a robust tool with scientific application and great potential for use in the preselection of plants with high quality standards among a wide range of plant species.es_ES
dc.language.isoenes_ES
dc.publisherMDPIes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectbibliometric analysises_ES
dc.subjectallometric relationshipses_ES
dc.subjectseedling qualityes_ES
dc.subjectbiometric parameterses_ES
dc.subjectquality indicatorses_ES
dc.subjectplant performancees_ES
dc.subjectroot quality parameterses_ES
dc.titlePlant Agronomic Features Can Predict Quality and Field Performance: A Bibliometric Analysises_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://www.mdpi.com/2073-4395/11/11/2305es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3390/agronomy11112305


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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