Aluminium–phosphate interactions in the rhizosphere of two bean species: <i>Phaseolus lunatus</i> L. and <i>Phaseolus vulgaris</i> L is a research paper published in Journal of the Science of Food and Agriculture (2013). On theSindex it has a DataRank of 0.892. It has been cited 12 times, with 8 citing works in its 1-hop citation network.
AbstractBACKGROUNDPlants differ in their response to high aluminium (Al) concentrations, which typically cause toxicity in plants grown on acidic soils. The response depends on plant species and environmental conditions such as substrate and cultivation system. The present study aimed to assess Al–phosphate (P) dynamics in the rhizosphere of two bean species, Phaseolus vulgaris L. var. Red Kidney and Phaseolus lunatus L., in rhizobox experiments.RESULTSRoot activity of the bean species induced up to a sevenfold increase in exchangeable Al and up to a 30‐fold decrease in extractable P. High soluble Al concentrations triggered the release of plant‐specific carboxylates, which differed between soil type and plant species. The results suggest that P. vulgaris L. mitigates Al stress by an internal defence mechanism and P. lunatus L. by an external one, both mechanisms involving organic acids.CONCLUSIONRhizosphere mechanisms involved in Al detoxification were found to be different for P. vulgaris L. and P. lunatus L., suggesting that these processes are plant species‐specific. Phaseolus vulgaris L. accumulates Al in the shoots (internal tolerance mechanism), while P. lunatus L. prevents Al uptake by releasing organic acids (exclusion mechanism) into the growth media. © 2013 Society of Chemical Industry
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.385
From this paper's citation signal
Citation Network Contribution
0.508
From 8 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 43% comes from its base citations and 57% from the citation network (8 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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