Evidence map›Paper›PMID 40352286›Full record

ArticleHorticulture research2025

Genomic prediction and association analyses for breeding parthenocarpic blueberries.

Juliana Cromie, Ryan P Cullen, Camila Ferreira Azevedo, Luis Felipe V Ferrão, Felix Enciso-Rodriguez, Juliana Benevenuto, Patricio R Muñoz

Abstract read
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Article in Horticulture research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

7 authors.

Juliana CromieBlueberry Breeding and Genomics Laboratory, Horticultural Sciences Department, University of Florida, 2560 Hull Rd, Gainesville, FL 32611, USA.
Ryan P CullenBlueberry Breeding and Genomics Laboratory, Horticultural Sciences Department, University of Florida, 2560 Hull Rd, Gainesville, FL 32611, USA.
Camila Ferreira AzevedoBlueberry Breeding and Genomics Laboratory, Horticultural Sciences Department, University of Florida, 2560 Hull Rd, Gainesville, FL 32611, USA.
Luis Felipe V FerrãoBlueberry Breeding and Genomics Laboratory, Horticultural Sciences Department, University of Florida, 2560 Hull Rd, Gainesville, FL 32611, USA.
Felix Enciso-RodriguezBlueberry Breeding and Genomics Laboratory, Horticultural Sciences Department, University of Florida, 2560 Hull Rd, Gainesville, FL 32611, USA.
Juliana BenevenutoBlueberry Breeding and Genomics Laboratory, Horticultural Sciences Department, University of Florida, 2560 Hull Rd, Gainesville, FL 32611, USA.
Patricio R MuñozBlueberry Breeding and Genomics Laboratory, Horticultural Sciences Department, University of Florida, 2560 Hull Rd, Gainesville, FL 32611, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parthenocarpy is a desirable trait that enables fruit set in the absence of fertilization. While blueberries typically depend on pollination for optimal yield, certain genotypes can produce seedless fruits through facultative parthenocarpy, eliminating the need for pollination. However, the development of parthenocarpic cultivars has remained limited by the challenge of evaluating large breeding populations. Thus, establishing molecular breeding tools can greatly accelerate genetic gain for this trait. In the present study, we evaluated two blueberry breeding populations for parthenocarpic fruit set and performed genome-wide association studies (GWAS) to identify markers and candidate genes associated with parthenocarpy. We also compared the predictive ability (PA) of three molecular breeding approaches, including (i) genomic selection (GS); (ii) GS

Identifiers

PMID40352286
PMCPMC12064955

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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.