Work

Generating Gerbera Foliar Nutrient Interpretation Ranges with a Meta-analysis Sufficiency Range Approach

Year: 2025

Type: review

Abstract: Foliar tissue analysis is an important method for diagnosing nutritional problems in greenhouse crops. Currently, gerbera foliar tissue standards are based on small sample populations and limited rate studies. This study expands prior work and presents a novel approach to creating data-driven nutrient sufficiency ranges of deficient, low, sufficient, high, and excessive, which were not previously available for gerbera. A hybrid meta-analysis sufficiency range approach (SRA) was used to determine the best fit model between Normal, Gamma, and Weibull distributions based on the lowest Bayesian information criteria This study establishes the use of a hybrid-SRA for the creation of refined interpretation ranges of gerbera foliar nutrient analysis results with a higher degree of precision than what is currently available to the greenhouse industry for diagnosing fertility status.

Source: HortScience

DOI: 10.21273/hortsci18522-25

Authors: Patrick Veazie, Hsuan Chen, Kristin Hicks, Brian Whipker

Institutions: North Carolina State University, North Carolina Department of Agriculture and Consumer Services

Language: English

Topic: Plant Growth and Agriculture Techniques

Subfield: Soil Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: gold

Estimated APC paid: $3,000