Evidence map›Paper›PMID 41933156›Full record

ArticleScientific reports2026

Zoning of agroclimatic and productive areas for quinoa (Chenopodium quinoa Willd.) in Peru; an integration of F-AHP, TOPSIS, and GIS.

Katerin M Tuesta-Trauco, Angel J Medina-Medina, Jhon A Zabaleta-Santisteban, Abner S Rivera-Fernandez, José A Sánchez-Vega, Teodoro B Silva-Melendez, Marlen A Grandez-Alberca, Cecibel Portocarrero, Rolando Salas López, Lily Juarez-Contreras and 3 more

Abstract 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. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Katerin M Tuesta-TraucoInstituto de Investigación Para El Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas, 01001, Perú.
Angel J Medina-MedinaInstituto de Investigación Para El Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas, 01001, Perú.
Jhon A Zabaleta-SantistebanInstituto de Investigación Para El Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas, 01001, Perú.
Abner S Rivera-FernandezInstituto de Investigación Para El Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas, 01001, Perú.
José A Sánchez-VegaInstituto de Investigación Para El Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas, 01001, Perú.
Teodoro B Silva-MelendezInstituto de Investigación Para El Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas, 01001, Perú.
Marlen A Grandez-AlbercaInstituto de Investigación Para El Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas, 01001, Perú.
Cecibel PortocarreroInstituto de Investigación Para El Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas, 01001, Perú.
Rolando Salas LópezInstituto de Investigación Para El Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas, 01001, Perú.
Lily Juarez-ContrerasInstituto de Investigación Para El Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas, 01001, Perú.
Samuel PizarroInstituto de Investigación Para El Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas, 01001, Perú.
Manuel Oliva CruzInstituto de Investigación Para El Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas, 01001, Perú.
Elgar BarbozaInstituto de Investigación Para El Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas, 01001, Perú. elgar.barboza@untrm.edu.pe.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quinoa (Chenopodium quinoa Willd.) is an Andean crop of high nutritional value that is resistant to adverse climatic conditions. However, its sustainable expansion in Peru faces limitations due to the lack of detailed spatial information on areas suitable for cultivation, especially under climate change scenarios. The objective of this study was to define the agroclimatic and productive zones suitable for quinoa cultivation in Peru, taking into account current conditions (1970–2000) and projected climate change scenarios (2041–2060 and 2081–2100). Multicriteria evaluation techniques were integrated using the Fuzzy analytic hierarchy process (F-AHP) method to weight the criteria and the technique of Order of Preference by Similarity to the ideal Solution (TOPSIS) to classify the alternatives in a Geographic Information System (GIS) environment. Future projections were assessed under Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5). The results indicated that 45.71% of the national territory is marginally suitable and 10.95% is moderately suitable. Under future scenarios (SSP2-4.5 and SSP5-8.5), a slight reduction in marginal areas and an increase in moderately suitable and highly suitable areas are projected, especially towards the end of the period 2081–2100. For the SSP5-8.5 scenario, highly suitable areas could increase to 1.09% of the territory and moderately suitable areas to 14.08%. These results show a spatial redistribution of suitability, highlighting the need for adaptive agricultural policies, climate resilient planning strategies, and targeted territorial management to support sustainable quinoa expansion in Peru.

Indexed as

AgricultureChenopodium quinoaClimate ChangeCrops, AgriculturalGeographic Information SystemsClimateConservation of Natural ResourcesPeruAgroclimatic adaptabilityCrop suitabilityMulti-criteria assessmentPeruvian andesSpatial modelingSustainable agriculture

Identifiers

PMID41933156
PMCPMC13212978

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Registered trials

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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.