Evidence map›Paper›PMID 40196705›Full record

ArticleMolecular breeding : new strategies in plant improvement2025

Genetic markers of olive fruit weight selected to be used in breeding experiments.

Martín Moret, Alicia Serrano, Angjelina Belaj, Lorenzo León, Raúl de la Rosa, Francisco Luque

Abstract read
In one paragraph

Article in Molecular breeding : new strategies in plant improvement, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Genotypic Effect on Olive (Plants (Basel, Switzerland) · 2025
    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

6 authors.

Martín MoretDepartamento de Biología Experimental, Instituto Universitario de Investigación en Olivar y Aceites de Oliva, Universidad de Jaén, 23071 Jaén, Spain.ORCID 0000-0002-7809-9800
Alicia SerranoDepartamento de Biología Experimental, Instituto Universitario de Investigación en Olivar y Aceites de Oliva, Universidad de Jaén, 23071 Jaén, Spain.ORCID 0000-0002-6936-3913
Angjelina BelajCentro de Investigación y Formación Agraria de Alameda del Obispo, Instituto de Investigación y Formación Agraria y Pesquera (IFAPA), 14004 Córdoba, Spain.ORCID 0000-0002-4526-0979
Lorenzo LeónCentro de Investigación y Formación Agraria de Alameda del Obispo, Instituto de Investigación y Formación Agraria y Pesquera (IFAPA), 14004 Córdoba, Spain.ORCID 0000-0002-5664-3393
Raúl de la RosaInstituto de Agricultura Sostenible (IAS), CSIC, 14004 Córdoba, Spain.ORCID 0000-0002-0752-9607
Francisco LuqueDepartamento de Biología Experimental, Instituto Universitario de Investigación en Olivar y Aceites de Oliva, Universidad de Jaén, 23071 Jaén, Spain.ORCID 0000-0003-1354-3533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Olive fruit weight is a crucial trait to consider in olive breeding programs due to its impact on final yield and its relevance for mechanical harvesting and fruit processing. Although environmental conditions influence this trait, fruit weight is primarily determined by genetic factors and exhibits a high degree of heritability in breeding progenies. Despite several studies identifying potential markers associated with fruit weight, these markers have not been validated. In this study, we analyzed 40 genetic markers linked to fruit weight using a dataset comprising 73 cultivars (including 33 newly sequenced varieties) and 10 wild olives with a wide range of phenotypic characteristics, spanning from very light (0.41 g) to very heavy fruits (8.57 g). By examining the phenotype distribution for each genotype of the newly sequenced varieties, we successfully validated 16 genetic markers. Additionally, machine learning tools demonstrated that 9 out of the 16 validated markers have a high predictive ability for fruit weight. As a result, our work provides, for the first time, a set of 9 well-validated genetic markers suitable for use in marker-assisted selection during the early stages of olive breeding programs.

Indexed as

BreedingFruit weightGenetic markersOlea europaea

Identifiers

PMID40196705
PMCPMC11973041

What OpenQuestion holds

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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.