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SUMMARY:Comparison of imaging methods for RGR determination and early stre
 ss detection in Lemna minuta grown on buffalo wastewater
DTSTART;VALUE=DATE-TIME:20260929T160000Z
DTEND;VALUE=DATE-TIME:20260929T161500Z
DTSTAMP;VALUE=DATE-TIME:20260916T130443Z
UID:indico-contribution-2968@cern.ch
DESCRIPTION:Speakers: Alberto Giuliano (Department of Agricultural Science
 s\, University of Naples Federico II\, 80055 Portici\, Italy)\nCultivating
  duckweed (Lemnaceae) on livestock wastewater represents a leading strateg
 y for the circular bioeconomy\, particularly relevant in Campania (Italy)\
 , where about 80% of the national buffalo herd is concentrated and where s
 ustainable wastewater management is a priority challenge. \nSeveral image 
 analysis techniques are now available to calculate the relative growth rat
 e (RGR) of these macrophytes\, ranging from classic RGB imaging to more so
 phisticated chlorophyll fluorimetry-based approaches\, yet a systematic co
 mparison of their reliability is still lacking\, particularly under physio
 logical stress. In this work\, Lemna minuta (clone LER035) was grown on oz
 onated buffalo wastewater at different total ammoniacal nitrogen (TAN) con
 centrations\, and RGR was calculated using three imaging methods — RGB c
 amera\, light-adapted PAM fluorimetry\, and dark-adapted PAM fluorimetry 
 — to compare their agreement.\nAmong the treatments showing a positive R
 GR\, the treatment based on centrifuged digestate at low nitrogen concentr
 ation (50 mg L⁻¹ TAN\, DC_low) was the only one to outperform the contr
 ol (0.343 vs. 0.307 day⁻¹). Overall\, light-adapted PAM and RGB showed 
 a high\, robust correlation (ρ = 0.988)\, confirmed when separately analy
 zing the positive-RGR (ρ = 0.980) and negative-RGR (ρ = 0.916) subgroups
 . Under stress\, however\, the two methods were not numerically interchang
 eable\, with divergence ranging from negligible in healthy treatments to m
 arked (+0.141 on average) in stressed ones. \nThe RGB method therefore rem
 ains valid for RGR determination\; however\, PAM technology detects stress
  well ahead of RGB\, identifying growth decline approximately 4 days earli
 er in 81% of stressed replicates and capturing impaired photosynthetic eff
 iciency before visible tissue disintegration.\n\nhttps://indico.unina.it/e
 vent/117/contributions/2968/
LOCATION: Sala Monumentini
URL:https://indico.unina.it/event/117/contributions/2968/
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