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Chile's agricultural research institute plant tissue analysis dataset
This dataset holds 9,175 entries that report the nitrogen, phosphorus, potassium, calcium, magnesium, zinc, manganese, copper and boron contents of various plant species, with a focus on crops. The dataset accounts data of 94 plant species, and present nutrient concentration of 14 different plant ti...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405181/ https://www.ncbi.nlm.nih.gov/pubmed/37554995 http://dx.doi.org/10.1016/j.dib.2023.109442 |
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author | Corradini, Fabio Casado, Francisco Rojas, Verónica |
author_facet | Corradini, Fabio Casado, Francisco Rojas, Verónica |
author_sort | Corradini, Fabio |
collection | PubMed |
description | This dataset holds 9,175 entries that report the nitrogen, phosphorus, potassium, calcium, magnesium, zinc, manganese, copper and boron contents of various plant species, with a focus on crops. The dataset accounts data of 94 plant species, and present nutrient concentration of 14 different plant tissues. The data are derived from the Soil and Plant Nutrition Lab of the Chilean Agricultural Research Institute, which provided services to farmers in the Chilean Central Valley between 2006 and 2020. The analytical methods used to generate these data were consistent across all years, ensuring the reliability of the information. Specifically, nitrogen content was determined using the Kjeldahl method, while all other analytes were quantified via colorimetry (phosphorus and boron) or atomic absorption spectrometry following high-temperature oxidation and dilution of the ashes with hydrochloric acid. The dataset has numerous potential applications, including the estimation of crop nutrient extraction rates, the identification of nutrient deficiencies or excesses, and the provision of reference or prior information for researchers studying plant physiology. The dataset includes 21 Chilean endemic species, which might be of particular interest to researchers studying the biodiversity and ecology of Chile's Central Valley. |
format | Online Article Text |
id | pubmed-10405181 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104051812023-08-08 Chile's agricultural research institute plant tissue analysis dataset Corradini, Fabio Casado, Francisco Rojas, Verónica Data Brief Data Article This dataset holds 9,175 entries that report the nitrogen, phosphorus, potassium, calcium, magnesium, zinc, manganese, copper and boron contents of various plant species, with a focus on crops. The dataset accounts data of 94 plant species, and present nutrient concentration of 14 different plant tissues. The data are derived from the Soil and Plant Nutrition Lab of the Chilean Agricultural Research Institute, which provided services to farmers in the Chilean Central Valley between 2006 and 2020. The analytical methods used to generate these data were consistent across all years, ensuring the reliability of the information. Specifically, nitrogen content was determined using the Kjeldahl method, while all other analytes were quantified via colorimetry (phosphorus and boron) or atomic absorption spectrometry following high-temperature oxidation and dilution of the ashes with hydrochloric acid. The dataset has numerous potential applications, including the estimation of crop nutrient extraction rates, the identification of nutrient deficiencies or excesses, and the provision of reference or prior information for researchers studying plant physiology. The dataset includes 21 Chilean endemic species, which might be of particular interest to researchers studying the biodiversity and ecology of Chile's Central Valley. Elsevier 2023-07-23 /pmc/articles/PMC10405181/ /pubmed/37554995 http://dx.doi.org/10.1016/j.dib.2023.109442 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Corradini, Fabio Casado, Francisco Rojas, Verónica Chile's agricultural research institute plant tissue analysis dataset |
title | Chile's agricultural research institute plant tissue analysis dataset |
title_full | Chile's agricultural research institute plant tissue analysis dataset |
title_fullStr | Chile's agricultural research institute plant tissue analysis dataset |
title_full_unstemmed | Chile's agricultural research institute plant tissue analysis dataset |
title_short | Chile's agricultural research institute plant tissue analysis dataset |
title_sort | chile's agricultural research institute plant tissue analysis dataset |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405181/ https://www.ncbi.nlm.nih.gov/pubmed/37554995 http://dx.doi.org/10.1016/j.dib.2023.109442 |
work_keys_str_mv | AT corradinifabio chilesagriculturalresearchinstituteplanttissueanalysisdataset AT casadofrancisco chilesagriculturalresearchinstituteplanttissueanalysisdataset AT rojasveronica chilesagriculturalresearchinstituteplanttissueanalysisdataset |