Evidence map›Paper›PMID 41667670›Full record

ArticleScientific reports2026

Evaluating the sustainability and productivity of conventional, organic, and regenerative agriculture in maize-soybean rotations: a modelling LCA study.

Alberto Cavallito, Iacopo Bianchi, Tommaso Mancia, Davide Catania, Marta Rossi, Barbara Marchetti

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Alberto CavallitoDepartment of Theoretical and Applied Sciences (DISTA), Faculty of Engineering, eCampus University, Novedrate, 22060, CO, Italy. cavallito.alberto@gmail.com.
Iacopo BianchiDepartment of Industrial Engineering and Mathematical Sciences (DIISM), Polytechnic University of Marche, Ancona, 60131, AN, Italy.
Tommaso ManciaDepartment of Theoretical and Applied Sciences (DISTA), Faculty of Engineering, eCampus University, Novedrate, 22060, CO, Italy.
Davide CataniaDepartment of Theoretical and Applied Sciences (DISTA), Faculty of Engineering, eCampus University, Novedrate, 22060, CO, Italy.
Marta RossiDepartment of Theoretical and Applied Sciences (DISTA), Faculty of Engineering, eCampus University, Novedrate, 22060, CO, Italy.
Barbara MarchettiDepartment of Theoretical and Applied Sciences (DISTA), Faculty of Engineering, eCampus University, Novedrate, 22060, CO, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The escalating global demand for food, coupled with agriculture’s significant environmental burdens, presents a fundamental challenge: feeding a growing population without compromising planetary health. Quantifying the comparative environmental performance of various food production systems is essential to guiding this transition, particularly across staple crops. This article addresses this by presenting a comparative Life Cycle Assessment (LCA) of maize and soybean cultivation under Conventional, Organic, and Regenerative Agriculture (respectively CA, OA and RA), based on a rigorously modelled crop rotation derived from literature-based data. The LCA utilized the ReCiPe 2016 (H) method at both the Midpoint (problem-oriented) and disaggregated Endpoint (damage-oriented) levels, as well as the IPCC 2013 GWP 100a methodology. RA consistently demonstrated the lowest average total environmental impact per hectare across all indicators, affirming its potential for reduced local burden. For example, RA’s total damage score per hectare (136.18 Pt) for maize was significantly lower than both CA (149.86 Pt) and OA (167.87 Pt). However, when impacts were normalized per metric tonne of product, this advantage narrowed or reversed due to yield differences. For instance, while RA’s Global-Warming Potential (GWP) per tonne for maize (285.66 kg CO₂eq) still outperformed CA (328.93 kg CO₂eq), CA achieved the minimum impact in other key efficiency-driven categories, such as Endpoint Total Damage (15.77 Pt) and Land Use (146.66 m2a crop eq). Ultimately, these findings demonstrate no singular ‘optimal’ system, but rather a critical trade-off between mitigating local environmental burden (per-hectare) and maximizing production efficiency (per-tonne).

Indexed as

AgricultureCrops, AgriculturalGlycine maxOrganic AgricultureZea maysEnvironmentModels, Theoretical

Identifiers

PMID41667670
PMCPMC12963586

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.