Evidence map›Paper›PMID 41304687›Full record

ArticlePlants (Basel, Switzerland)2025

Exploring the Agromorphological Profiles of the Cacao (

José Jesús Tejada-Alvarado, Nuri Carito Vilca-Valqui, Luis Alberto Montenegro-Acuña, Jhimy Andy Parco-Quinchori, Elizabeth Fernandez

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

José Jesús Tejada-AlvaradoEstación Experimental Agraria Amazonas, Dirección de Recursos Genéticos y Biotecnología, Instituto Nacional de Innovación Agraria (INIA), km 3.5 (Carretera Aeropuerto), Chachapoyas 01001, Peru.ORCID 0000-0001-9989-1832
Nuri Carito Vilca-ValquiEstación Experimental Agraria Amazonas, Dirección de Recursos Genéticos y Biotecnología, Instituto Nacional de Innovación Agraria (INIA), km 3.5 (Carretera Aeropuerto), Chachapoyas 01001, Peru.ORCID 0000-0002-4539-1602
Luis Alberto Montenegro-AcuñaEstación Experimental Agraria Amazonas, Dirección de Recursos Genéticos y Biotecnología, Instituto Nacional de Innovación Agraria (INIA), km 3.5 (Carretera Aeropuerto), Chachapoyas 01001, Peru.ORCID 0000-0001-6686-7895
Jhimy Andy Parco-QuinchoriCentro Experimental La Molina, Dirección de Recursos Genéticos y Biotecnología, Instituto Nacional de Innovación Agraria (INIA), Av. La Molina 1981, Lima 15024, Peru.ORCID 0000-0001-7958-3197
Elizabeth FernandezCentro Experimental La Molina, Dirección de Recursos Genéticos y Biotecnología, Instituto Nacional de Innovación Agraria (INIA), Av. La Molina 1981, Lima 15024, Peru.ORCID 0000-0001-6494-2767

Funding

National Institute of Agricultural Innovation Investment Project (IP) with CUI No. 2480490National Institute of Agricultural Innovation (INIA) Investment Project (IP) with CUI No. 2480490
6 · The paper itself

Abstract

Cacao is a strategic crop in Peru due to its significant socioeconomic impact, driving extensive efforts to collect, characterize, and conserve its genetic diversity. This study aimed to establish phenotypic criteria to differentiate and structure the Cacao Amazonas Perú (CAP) germplasm, thereby providing a foundation for selection and breeding programs. A total of 113 accessions from the INIA Germplasm Bank were evaluated over two consecutive growing seasons using 33 quantitative and 18 qualitative agromorphological descriptors. Data were analyzed through univariate and multivariate approaches. The results revealed substantial phenotypic variability, with coefficients of variation reaching up to 37.5% for fruit-related quantitative traits, all exhibiting high heritability values (>60%). Principal component analysis indicated that the first two components explained 29.3% of the total variance, primarily influenced by fruit and seed descriptors. Hierarchical clustering analysis identified eight phenotypic groups; one cluster exhibited high seed mass and a favorable pod index (17.63), while another showed the highest seed index (1.55 g) and the greatest intragroup distance (7.54). This comprehensive characterization highlights accessions with superior agronomic and bioactive potential, providing a robust framework for parental selection, core collection development, and targeted breeding strategies to enhance cacao competitiveness and resilience under changing climatic conditions.

Indexed as

characterizationconservationdescriptorsFTIRHPLCplant genetic resourcestheobromine

Identifiers

PMID41304687
PMCPMC12655995

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.