Evidence map›Paper›PMID 41180394›Full record

ArticleFrontiers in plant science2025

Unraveling the genetic basis of general combining ability in CIMMYT elite bread wheat germplasm: implications for breeding strategies optimization.

José I Saavedra-Ávila, Guillermo S Gerard, Salvatore Esposito, Velu Govindan, Julio Huerta-Espino, Zerihun Tadesse, Susanne Dreisigacker, Carolina Saint Pierre, Angela Pacheco, Fernando Toledo and 4 more

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Article in Frontiers in plant science, 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

14 authors.

José I Saavedra-Ávila *Departamento de Genética, Colegio de Postgraduados, Estado de México, Montecillo, Mexico.
Guillermo S Gerard *International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Estado de México, Mexico.
Salvatore EspositoInstitute of Bioscience and BioResources, National Research Council, Portici, Italy.
Velu GovindanInternational Maize and Wheat Improvement Center (CIMMYT), Texcoco, Estado de México, Mexico.
Julio Huerta-EspinoInternational Maize and Wheat Improvement Center (CIMMYT), Texcoco, Estado de México, Mexico.
Zerihun TadesseInternational Maize and Wheat Improvement Center (CIMMYT), Texcoco, Estado de México, Mexico.
Susanne DreisigackerInternational Maize and Wheat Improvement Center (CIMMYT), Texcoco, Estado de México, Mexico.
Carolina Saint PierreInternational Maize and Wheat Improvement Center (CIMMYT), Texcoco, Estado de México, Mexico.
Angela PachecoInternational Maize and Wheat Improvement Center (CIMMYT), Texcoco, Estado de México, Mexico.
Fernando ToledoInternational Maize and Wheat Improvement Center (CIMMYT), Texcoco, Estado de México, Mexico.
Keith A GardnerInternational Maize and Wheat Improvement Center (CIMMYT), Texcoco, Estado de México, Mexico.
Leonardo Crespo-HerreraInternational Maize and Wheat Improvement Center (CIMMYT), Texcoco, Estado de México, Mexico.
José CrossaInternational Maize and Wheat Improvement Center (CIMMYT), Texcoco, Estado de México, Mexico.
Paolo VitaleInternational Maize and Wheat Improvement Center (CIMMYT), Texcoco, Estado de México, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In wheat breeding programs, several hundred crosses are performed annually, but only individuals from a few families advance to the final stages of the breeding pipelines. Therefore, a deeper understanding of the general combining ability (GCA) of wheat genotypes might enhance the breeding efficiency in selecting parents. For this reason, we tested the performance of the offspring of ~1200 parental elite lines. Using a genome-wide association study (GWAS), gene ontology (GO) analysis, and genomic prediction (GP), our objectives were to i) identify marker-trait associates (MTAs) and candidate genes, ii) assess temporal allele frequency dynamics of identified MTAs, and iii) estimate prediction accuracy (PA) for key traits: Progeny Number per-Cross (PNC), grain yield (GY), and a combined index incorporating these traits ("index"). Our findings revealed a total of 13 MTAs: eight for GY, four for the "index", and one for PNC. The GO analysis highlighted several genes involved in hydrogen peroxide metabolism and catabolism processes (H

Indexed as

cross-efficiencygeneral combining abilitygenomic predictionGWASwheat breeding

Identifiers

PMID41180394
PMCPMC12575131

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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.