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Fast screening of total nutrient contents in strawberry leaves and spent growing media using NIRS

INTRODUCTION: In closed-loop soilless cultivation, the main nutrient sinks are nutrients retained either by the crop or in spent growing media. Measurement of nutrients in spent growing media and in the aboveground vegetative plant biomass at crop termination can be a tool for assessing and optimizi...

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Autores principales: Vandecasteele, Bart, Van Waes, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475932/
https://www.ncbi.nlm.nih.gov/pubmed/37670869
http://dx.doi.org/10.3389/fpls.2023.1210791
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author Vandecasteele, Bart
Van Waes, Chris
author_facet Vandecasteele, Bart
Van Waes, Chris
author_sort Vandecasteele, Bart
collection PubMed
description INTRODUCTION: In closed-loop soilless cultivation, the main nutrient sinks are nutrients retained either by the crop or in spent growing media. Measurement of nutrients in spent growing media and in the aboveground vegetative plant biomass at crop termination can be a tool for assessing and optimizing nutrient efficiency. The first aim of this study was to test the potential of near-infrared reflectance spectroscopy (NIRS) to forecast the various nutrient contents in strawberry leaves, which would then allow for assessment of crop nutrient status and total nutrient uptake by strawberry plants. The second aim was to test NIRS as a high throughput technique for assessing the N, K, Ca, Mg and organic matter (OM) content and the pH, EC and C:N and C:P ratios for a dataset of composts, plant fibers and spent growing media. The NIRS prediction model for fast screening of the total nutrient contents in spent growing media was compared with a single extraction method. METHODS: A database with 369 dried and ground strawberry leaf samples with known contents of N, P, K, Ca, and Mg were scanned using NIRS. The database covered a range of leaf contents of 6-35 g N/kg dry matter (DM), 0.7-6.3 g P/kg DM and 2-29 g K/kg DM. A dataset of 458 samples of different types of materials used in growing media was validated with a dataset of 109 samples. RESULTS: Validation for the strawberry leaves indicated potential for this application, with R(2) values of 0.90 or higher for N, K and Ca, and R(2) values higher than 0.85 for P and Mg. Validation for the dataset of composts, plant fibers and spent growing media also indicated the potential for this application, with R(2) values of 0.90 or higher for organic matter, and with R(2) values of 0.85 or higher for total Ca, pH and C:N. A first test indicated potential for the calibration based on fresh samples of compost, plant fiber as well as spent growing media or dried (not ground) samples. DISCUSSION: Use of NIRS on fresh samples would eliminate the need for drying and grinding the samples and would reduce screening time. The ammonium acetate extraction is a reliable alternative to NIRS for fast screening of the total P, K, Ca, and Mg contents in composts, plant fibers and spent growing media.
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spelling pubmed-104759322023-09-05 Fast screening of total nutrient contents in strawberry leaves and spent growing media using NIRS Vandecasteele, Bart Van Waes, Chris Front Plant Sci Plant Science INTRODUCTION: In closed-loop soilless cultivation, the main nutrient sinks are nutrients retained either by the crop or in spent growing media. Measurement of nutrients in spent growing media and in the aboveground vegetative plant biomass at crop termination can be a tool for assessing and optimizing nutrient efficiency. The first aim of this study was to test the potential of near-infrared reflectance spectroscopy (NIRS) to forecast the various nutrient contents in strawberry leaves, which would then allow for assessment of crop nutrient status and total nutrient uptake by strawberry plants. The second aim was to test NIRS as a high throughput technique for assessing the N, K, Ca, Mg and organic matter (OM) content and the pH, EC and C:N and C:P ratios for a dataset of composts, plant fibers and spent growing media. The NIRS prediction model for fast screening of the total nutrient contents in spent growing media was compared with a single extraction method. METHODS: A database with 369 dried and ground strawberry leaf samples with known contents of N, P, K, Ca, and Mg were scanned using NIRS. The database covered a range of leaf contents of 6-35 g N/kg dry matter (DM), 0.7-6.3 g P/kg DM and 2-29 g K/kg DM. A dataset of 458 samples of different types of materials used in growing media was validated with a dataset of 109 samples. RESULTS: Validation for the strawberry leaves indicated potential for this application, with R(2) values of 0.90 or higher for N, K and Ca, and R(2) values higher than 0.85 for P and Mg. Validation for the dataset of composts, plant fibers and spent growing media also indicated the potential for this application, with R(2) values of 0.90 or higher for organic matter, and with R(2) values of 0.85 or higher for total Ca, pH and C:N. A first test indicated potential for the calibration based on fresh samples of compost, plant fiber as well as spent growing media or dried (not ground) samples. DISCUSSION: Use of NIRS on fresh samples would eliminate the need for drying and grinding the samples and would reduce screening time. The ammonium acetate extraction is a reliable alternative to NIRS for fast screening of the total P, K, Ca, and Mg contents in composts, plant fibers and spent growing media. Frontiers Media S.A. 2023-08-21 /pmc/articles/PMC10475932/ /pubmed/37670869 http://dx.doi.org/10.3389/fpls.2023.1210791 Text en Copyright © 2023 Vandecasteele and Van Waes https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Vandecasteele, Bart
Van Waes, Chris
Fast screening of total nutrient contents in strawberry leaves and spent growing media using NIRS
title Fast screening of total nutrient contents in strawberry leaves and spent growing media using NIRS
title_full Fast screening of total nutrient contents in strawberry leaves and spent growing media using NIRS
title_fullStr Fast screening of total nutrient contents in strawberry leaves and spent growing media using NIRS
title_full_unstemmed Fast screening of total nutrient contents in strawberry leaves and spent growing media using NIRS
title_short Fast screening of total nutrient contents in strawberry leaves and spent growing media using NIRS
title_sort fast screening of total nutrient contents in strawberry leaves and spent growing media using nirs
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475932/
https://www.ncbi.nlm.nih.gov/pubmed/37670869
http://dx.doi.org/10.3389/fpls.2023.1210791
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