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...

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Autores principales:	Victor M. Gallegos-Cedillo, Fernando Diánez, Cinthia Nájera, Mila Santos
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	bibliometric analysis allometric relationships seedling quality biometric parameters quality indicators plant performance Agriculture S
Acceso en línea:	https://doaj.org/article/8bf96861f5324a8280dbb95222a71004
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spelling	oai:doaj.org-article:8bf96861f5324a8280dbb95222a710042021-11-25T16:11:03ZPlant Agronomic Features Can Predict Quality and Field Performance: A Bibliometric Analysis10.3390/agronomy111123052073-4395https://doaj.org/article/8bf96861f5324a8280dbb95222a710042021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4395/11/11/2305https://doaj.org/toc/2073-4395Plant 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.Victor M. Gallegos-CedilloFernando DiánezCinthia NájeraMila SantosMDPI AGarticlebibliometric analysisallometric relationshipsseedling qualitybiometric parametersquality indicatorsplant performanceAgricultureSENAgronomy, Vol 11, Iss 2305, p 2305 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	bibliometric analysis allometric relationships seedling quality biometric parameters quality indicators plant performance Agriculture S
spellingShingle	bibliometric analysis allometric relationships seedling quality biometric parameters quality indicators plant performance Agriculture S Victor M. Gallegos-Cedillo Fernando Diánez Cinthia Nájera Mila Santos Plant Agronomic Features Can Predict Quality and Field Performance: A Bibliometric Analysis
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	article
author	Victor M. Gallegos-Cedillo Fernando Diánez Cinthia Nájera Mila Santos
author_facet	Victor M. Gallegos-Cedillo Fernando Diánez Cinthia Nájera Mila Santos
author_sort	Victor M. Gallegos-Cedillo
title	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_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_sort	plant agronomic features can predict quality and field performance: a bibliometric analysis
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/8bf96861f5324a8280dbb95222a71004
work_keys_str_mv	AT victormgallegoscedillo plantagronomicfeaturescanpredictqualityandfieldperformanceabibliometricanalysis AT fernandodianez plantagronomicfeaturescanpredictqualityandfieldperformanceabibliometricanalysis AT cinthianajera plantagronomicfeaturescanpredictqualityandfieldperformanceabibliometricanalysis AT milasantos plantagronomicfeaturescanpredictqualityandfieldperformanceabibliometricanalysis
_version_	1718413328457400320

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

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