Evaluation of real-time nutrient analysis of fertilized raspberry using petiole sap

Qianwen Lu; Carol Miles; Haiying Tao; Lisa DeVetter

doi:10.3389/fpls.2022.918021

Evaluation of real-time nutrient analysis of fertilized raspberry using petiole sap

Front Plant Sci. 2022 Aug 5:13:918021. doi: 10.3389/fpls.2022.918021. eCollection 2022.

Authors

Qianwen Lu¹, Carol Miles², Haiying Tao¹, Lisa DeVetter²

Affiliations

¹ Department of Plant Science and Landscape Architecture, University of Connecticut, Storrs, CT, United States.
² Northwestern Washington Research and Extension Center, Washington State University, Mount Vernon, WA, United States.

Abstract

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 (NO₃ ^-), potassium (K⁺), and calcium (Ca²⁺) 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 NO₃ ^- 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 NO₃ ^-, K⁺, and Ca²⁺ 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 NO₃ ^-, K⁺, Ca²⁺ 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 NO₃ ^- and leaf tissue TN, petiole sap Ca²⁺ 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.

Keywords: Rubus idaeus L.; compact ion meter; correlation; leaf tissue; nitrogen fertilizer rate; nutrient management.