Plant Agronomic Features Can Predict Quality and Field Performance: A Bibliometric Analysis

Plant 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.

Automated summary

This study reviewed and quantitatively analyzed plant quality and survival prediction tools, focusing on the Dickson Quality Index (DQI) as a key plant quality parameter. The number of publications using DQI as a plant quality indicator has increased by 150% in the last decade, with Brazilian researchers being the most frequent users. Forestry is the discipline that most commonly uses quality parameters to facilitate intensive plant production, and the use of DQI improves prediction, selection, and productivity in the plant production chain.