Evidence map›Paper›PMID 41584621›Full record

ArticlePlant and soil2026

Biochar enhances nitrogen use efficiency in lettuce by promoting its metabolic assimilation.

Alvaro F Garcia-Rodriguez, Francisco J Moreno-Racero, Rosario Álvarez, José M Colmenero-Flores, Heike Knicker, Miguel A Rosales

Abstract read
In one paragraph

Article in Plant and soil, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Alvaro F Garcia-RodriguezDepartment of Biogeochemistry, Plant and Microbial Ecology, Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS-CSIC), 41012 Seville, Spain.
Francisco J Moreno-RaceroDepartment of Biogeochemistry, Plant and Microbial Ecology, Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS-CSIC), 41012 Seville, Spain.
Rosario ÁlvarezDepartamento de Biología Vegetal y Ecología, Facultad de Biología, Universidad de Sevilla, Seville, Spain.
José M Colmenero-FloresGroup of Plant Ion and Water Regulation, (IRNAS-CSIC), 41012 Seville, Spain.
Heike KnickerDepartment of Biogeochemistry, Plant and Microbial Ecology, Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS-CSIC), 41012 Seville, Spain.
Miguel A RosalesGroup of Plant Ion and Water Regulation, (IRNAS-CSIC), 41012 Seville, Spain.ORCID 0000-0001-8390-3560

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Peat replacement with biochar (BC) offers a sustainable strategy in horticultural substrates but its effects on plant nitrogen (N) metabolism and N use efficiency (NUE) remain unclear. This study tested whether vineyard-pruning-derived BC can boost NUE and metabolic activity in lettuce, providing a pathway toward more productive and sustainable horticulture. Methods: Plant substrates (BC, peat and vermiculite) were prepared in the following proportions (v:v:v): B0 (0:70:30), B15 (15:55:30) and B30 (30:40:30) for growing lettuce (Lactuca sativa L. var. Batavia) under greenhouse conditions for 31 days. We assessed plant growth and physiological traits, quantified N species and calculated NUE parameters and the activities of key N assimilation enzymes. Results: B30 plants produced 44.2% more biomass and 23.2% larger leaf area than B0, resulting in lower specific leaf area and greater succulence. BC addition decreased available NO₃⁻ and NH₄⁺ in substrate and roots without causing any plant stress symptoms, as chlorophyll content and PSII efficiency remained stable. B30 increased N uptake flux, N utilization efficiency, partial N balance, and N productivity by 31.8%, 34.8%, 27.8%, and 13.8%, respectively, relative to B0, coinciding with enhanced N-assimilation enzymatic activity. Despite lower total N in roots and shoots, protein accumulation increased, indicating more efficient N conversion into organic compounds. Conclusion: These findings demonstrate the potential of BC-based substrates (especially 30% BC) to enhance lettuce productivity by improving NUE through the stimulation of N assimilation pathway, offering a promising strategy to optimize N-fertilizer needs to support more sustainable agriculture and soil management practices. Supplementary Information: The online version contains supplementary material available at 10.1007/s11104-025-07997-0.

Indexed as

Biochar amendmentLactuca sativa L.Nitrogen assimilationPhysiological traitsVineyard prunnings

Identifiers

PMID41584621
PMCPMC12830439

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.