In one paragraphArticle in Plants (Basel, Switzerland), 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
8 authors.
María OsorioLaboratorio de Biología Vegetal e Innovación en Sistemas Agroalimentarios-Grupo Nutribreeding, Instituto de Nutrición y Tecnología de Alimentos Dr. Fernando Monckeberg Barros (INTA), Universidad de Chile, El Líbano #5524, Macul 7830490, Chile.ORCID 0009-0003-1463-8304 Arnau FiolLaboratorio de Biología Vegetal e Innovación en Sistemas Agroalimentarios-Grupo Nutribreeding, Instituto de Nutrición y Tecnología de Alimentos Dr. Fernando Monckeberg Barros (INTA), Universidad de Chile, El Líbano #5524, Macul 7830490, Chile.ORCID 0000-0003-4624-8047 Paulina BallestaLaboratorio de Biología Vegetal e Innovación en Sistemas Agroalimentarios-Grupo Nutribreeding, Instituto de Nutrición y Tecnología de Alimentos Dr. Fernando Monckeberg Barros (INTA), Universidad de Chile, El Líbano #5524, Macul 7830490, Chile.ORCID 0000-0003-1428-0456 Sebastián AhumadaDepartamento de Producción Agrícola, Facultad de Ciencias Agronómicas, Universidad de Chile, Santa Rosa #11315, La Pintana 8820808, Chile.
Pilar MarambioLaboratorio de Biología Vegetal e Innovación en Sistemas Agroalimentarios-Grupo Nutribreeding, Instituto de Nutrición y Tecnología de Alimentos Dr. Fernando Monckeberg Barros (INTA), Universidad de Chile, El Líbano #5524, Macul 7830490, Chile.
Pamela Martínez-CarrascoLaboratorio de Biología Vegetal e Innovación en Sistemas Agroalimentarios-Grupo Nutribreeding, Instituto de Nutrición y Tecnología de Alimentos Dr. Fernando Monckeberg Barros (INTA), Universidad de Chile, El Líbano #5524, Macul 7830490, Chile.ORCID 0000-0003-1312-0514 Rodrigo InfanteDepartamento de Producción Agrícola, Facultad de Ciencias Agronómicas, Universidad de Chile, Santa Rosa #11315, La Pintana 8820808, Chile.ORCID 0000-0001-5179-7038 Igor PachecoLaboratorio de Biología Vegetal e Innovación en Sistemas Agroalimentarios-Grupo Nutribreeding, Instituto de Nutrición y Tecnología de Alimentos Dr. Fernando Monckeberg Barros (INTA), Universidad de Chile, El Líbano #5524, Macul 7830490, Chile.ORCID 0000-0001-5057-0464 Funding
Agencia Nacional de Investigación y Desarrollo 1191446Agencia Nacional de Investigación y Desarrollo 1231614Agencia Nacional de Investigación y Desarrollo 3220494Agencia Nacional de Investigación y Desarrollo 3240559Agencia Nacional de Investigación y Desarrollo ID22I10266
6 · The paper itselfAbstract
Peaches are a fruit crop with global importance due to their economic value. Fruit quality (e.g., weight, soluble solids content (SSC)) and phenology traits (e.g., maturity date) are essential for generating novel varieties. Nevertheless, modern germplasm's narrow genetic diversity hampers breeding efforts to enhance these traits. To identify genetic markers helpful for marker-assisted breeding, this work leveraged a diverse panel of 140 peach commercial cultivars and advanced breeding lines phenotyped across three harvest seasons for the maturity date (MD), chlorophyll absorbance (IAD), SSC, and fruit weight (FW). Genotypic data were generated via ddRADseq, identifying 5861 SNPs. A rapid linkage disequilibrium decay (critical r
Indexed as
candidate geneschlorophyll index (IAD)fruit maturity datefruit weight (FW)genome-wide association study (GWAS)linkage disequilibrium (LD)peachPrunus persica [L.] BatschSNP markerssoluble solids content (SSC)
Identifiers
PMID41599993
PMCPMC12844748
What Socratic holds
Textmetadata
LicenceCC BY
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