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Evaluation of real-time nutrient analysis of fertilized raspberry using petiole sap
The time delay in receiving conventional tissue nutrient analysis results caused red raspberry (Rubus idaeus L.) growers to be interested in rapid sap tests to provide real-time results to guide immediate nutrient management practices. However, sap analysis has never been conducted in raspberry. The...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389145/ https://www.ncbi.nlm.nih.gov/pubmed/35991427 http://dx.doi.org/10.3389/fpls.2022.918021 |
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author | Lu, Qianwen Miles, Carol Tao, Haiying DeVetter, Lisa |
author_facet | Lu, Qianwen Miles, Carol Tao, Haiying DeVetter, Lisa |
author_sort | Lu, Qianwen |
collection | PubMed |
description | The time delay in receiving conventional tissue nutrient analysis results caused red raspberry (Rubus idaeus L.) growers to be interested in rapid sap tests to provide real-time results to guide immediate nutrient management practices. However, sap analysis has never been conducted in raspberry. The present work aimed to evaluate the relationship of petiole sap nitrate (NO(3)(–)), potassium (K(+)), and calcium (Ca(2+)) concentrations measured using compact ion meters and leaf tissue total nitrogen (TN), potassium (K), and calcium (Ca) concentrations measured using conventional tissue nutrient analysis. The relationship of petiole sap NO(3)(–) and leaf tissue TN concentrations with plant growth and production variables was also explored. Fertilizer treatments of urea were surface applied to raised beds of established “Meeker” floricane red raspberry plots at control, low, medium, and high rates (0, 34, 67, and 101 kg N ha(–1), respectively) in 2019 and 2020. The experiment was arranged in a randomized complete block design with three replications. Whole leaves were collected from representative primocanes in mid- and late- July and August 2019 and 2020 (i.e., four sampling time points per year). At each sampling time point, a subsample of leaves was used for petiole sap analyses of NO(3)(–), K(+), and Ca(2+) concentrations using compact ion meters, and conventional tissue testing of leaf tissue TN, K, and Ca concentrations, respectively. There were no interactions between N fertilizer rate and year nor between N fertilizer rate and sampling time. No significant differences were found due to N fertilizer rate for petiole sap NO(3)(–), K(+), Ca(2+) nor leaf tissue TN, K, Ca concentrations. However, significant year and sampling time effects occurred in measured petiole sap and leaf tissue nutrient concentrations. Overall, the correlations between petiole sap NO(3)(–) and leaf tissue TN, petiole sap Ca(2+) and leaf tissue Ca, petiole sap K(+) and leaf tissue K concentrations were non-strong and inconsistent. Future research is warranted as the interpretation of correlations between raspberry petiole sap and leaf tissue nutrient concentrations were inconclusive. |
format | Online Article Text |
id | pubmed-9389145 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93891452022-08-20 Evaluation of real-time nutrient analysis of fertilized raspberry using petiole sap Lu, Qianwen Miles, Carol Tao, Haiying DeVetter, Lisa Front Plant Sci Plant Science The time delay in receiving conventional tissue nutrient analysis results caused red raspberry (Rubus idaeus L.) growers to be interested in rapid sap tests to provide real-time results to guide immediate nutrient management practices. However, sap analysis has never been conducted in raspberry. The present work aimed to evaluate the relationship of petiole sap nitrate (NO(3)(–)), potassium (K(+)), and calcium (Ca(2+)) concentrations measured using compact ion meters and leaf tissue total nitrogen (TN), potassium (K), and calcium (Ca) concentrations measured using conventional tissue nutrient analysis. The relationship of petiole sap NO(3)(–) and leaf tissue TN concentrations with plant growth and production variables was also explored. Fertilizer treatments of urea were surface applied to raised beds of established “Meeker” floricane red raspberry plots at control, low, medium, and high rates (0, 34, 67, and 101 kg N ha(–1), respectively) in 2019 and 2020. The experiment was arranged in a randomized complete block design with three replications. Whole leaves were collected from representative primocanes in mid- and late- July and August 2019 and 2020 (i.e., four sampling time points per year). At each sampling time point, a subsample of leaves was used for petiole sap analyses of NO(3)(–), K(+), and Ca(2+) concentrations using compact ion meters, and conventional tissue testing of leaf tissue TN, K, and Ca concentrations, respectively. There were no interactions between N fertilizer rate and year nor between N fertilizer rate and sampling time. No significant differences were found due to N fertilizer rate for petiole sap NO(3)(–), K(+), Ca(2+) nor leaf tissue TN, K, Ca concentrations. However, significant year and sampling time effects occurred in measured petiole sap and leaf tissue nutrient concentrations. Overall, the correlations between petiole sap NO(3)(–) and leaf tissue TN, petiole sap Ca(2+) and leaf tissue Ca, petiole sap K(+) and leaf tissue K concentrations were non-strong and inconsistent. Future research is warranted as the interpretation of correlations between raspberry petiole sap and leaf tissue nutrient concentrations were inconclusive. Frontiers Media S.A. 2022-08-05 /pmc/articles/PMC9389145/ /pubmed/35991427 http://dx.doi.org/10.3389/fpls.2022.918021 Text en Copyright © 2022 Lu, Miles, Tao and DeVetter. 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 Lu, Qianwen Miles, Carol Tao, Haiying DeVetter, Lisa Evaluation of real-time nutrient analysis of fertilized raspberry using petiole sap |
title | Evaluation of real-time nutrient analysis of fertilized raspberry using petiole sap |
title_full | Evaluation of real-time nutrient analysis of fertilized raspberry using petiole sap |
title_fullStr | Evaluation of real-time nutrient analysis of fertilized raspberry using petiole sap |
title_full_unstemmed | Evaluation of real-time nutrient analysis of fertilized raspberry using petiole sap |
title_short | Evaluation of real-time nutrient analysis of fertilized raspberry using petiole sap |
title_sort | evaluation of real-time nutrient analysis of fertilized raspberry using petiole sap |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389145/ https://www.ncbi.nlm.nih.gov/pubmed/35991427 http://dx.doi.org/10.3389/fpls.2022.918021 |
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