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 a...
| Main Authors: | , , , |
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| Format: | info:eu-repo/semantics/article |
| Language: | English |
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MDPI
2021
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| Online Access: | http://hdl.handle.net/10835/13074 |
| _version_ | 1789406529221296128 |
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| author | Gallegos-Cedillo, Victor M. Diánez Martínez, Fernando José Nájera, Cinthia Santos Hernández, Milagrosa |
| author_facet | Gallegos-Cedillo, Victor M. Diánez Martínez, Fernando José Nájera, Cinthia Santos Hernández, Milagrosa |
| author_sort | Gallegos-Cedillo, Victor M. |
| collection | DSpace |
| description | 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. |
| format | info:eu-repo/semantics/article |
| id | oai:repositorio.ual.es:10835-13074 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2021 |
| publisher | MDPI |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-130742023-04-12T18:54:48Z Plant Agronomic Features Can Predict Quality and Field Performance: A Bibliometric Analysis Gallegos-Cedillo, Victor M. Diánez Martínez, Fernando José Nájera, Cinthia Santos Hernández, Milagrosa bibliometric analysis allometric relationships seedling quality biometric parameters quality indicators plant performance root quality parameters 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. 2021-11-25T13:42:23Z 2021-11-25T13:42:23Z 2021-11-15 info:eu-repo/semantics/article 2073-4395 http://hdl.handle.net/10835/13074 10.3390/agronomy11112305 en https://www.mdpi.com/2073-4395/11/11/2305 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI |
| spellingShingle | bibliometric analysis allometric relationships seedling quality biometric parameters quality indicators plant performance root quality parameters Gallegos-Cedillo, Victor M. Diánez Martínez, Fernando José Nájera, Cinthia Santos Hernández, Milagrosa Plant Agronomic Features Can Predict Quality and Field Performance: A Bibliometric Analysis |
| title | Plant Agronomic Features Can Predict Quality and Field Performance: A Bibliometric Analysis |
| title_full | Plant Agronomic Features Can Predict Quality and Field Performance: A Bibliometric Analysis |
| title_fullStr | Plant Agronomic Features Can Predict Quality and Field Performance: A Bibliometric Analysis |
| title_full_unstemmed | Plant Agronomic Features Can Predict Quality and Field Performance: A Bibliometric Analysis |
| title_short | Plant Agronomic Features Can Predict Quality and Field Performance: A Bibliometric Analysis |
| title_sort | plant agronomic features can predict quality and field performance: a bibliometric analysis |
| topic | bibliometric analysis allometric relationships seedling quality biometric parameters quality indicators plant performance root quality parameters |
| url | http://hdl.handle.net/10835/13074 |
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