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RHIZOtest: A plant-based biotest to account for rhizosphere processes when assessing copper bioavailability

Authors :
Bourane Larabi
Aurélia M. Michaud
Philippe Hinsinger
Matthieu Bravin
Ecologie Fonctionnelle et Biogéochimie des Sols (Eco&Sols)
Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Ecole Nationale Supérieure Agronomique de Montpellier (ENSA M)
Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols)
Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)
Source :
Environmental Pollution, Environmental Pollution, Elsevier, 2010, 158 (10), pp.3330-3337. ⟨10.1016/j.envpol.2010.07.029⟩
Publication Year :
2010
Publisher :
Elsevier BV, 2010.

Abstract

International audience; The ability of the free ion activity model (FIAM), the terrestrial biotic ligand model (TBLM), the diffusive gradients in thin films (DGT) technique and a plant-based biotest, the RHIZOtest, to predict root copper (Cu) concentration in field-grown durum wheat (Triticum turgidum durum L) was assessed on 44 soils varying in pH (3.9-7.8) and total Cu (32-184 mg kg(-1)). None of the methods adequately predicted root Cu concentration, which was mainly correlated with total soil Cu. Results from DGT measurements and even more so FIAM prediction were negatively correlated with soil pH and over-estimated root Cu concentration in acidic soils. TBLM implementation improved numerically FIAM prediction but still failed to predict adequately root Cu concentration as the TBLM formalism did not considered the rhizosphere alkalisation as observed in situ. In contrast, RHIZOtest measurements accounted for rhizosphere alkalisation and were mainly correlated with total soil Cu.

Details

ISSN :
02697491 and 18736424
Volume :
158
Database :
OpenAIRE
Journal :
Environmental Pollution
Accession number :
edsair.doi.dedup.....8e533c1e4b431824a54b91a563201246