Evidence map›Paper›PMID 39849180›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025

Comparative genomic prediction of resistance to Fusarium wilt (Fusarium oxysporum f. sp. niveum race 2) in watermelon: parametric and nonparametric approaches.

Anju Biswas, Pat Wechter, Venkat Ganaparthi, Diego Jarquin, Shaker Kousik, Sandra Branham, Amnon Levi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 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

7 authors.

Anju BiswasUSDA, ARS, U.S. Vegetable Laboratory, 2700 Savannah Highway, Charleston, SC, 29414, USA.ORCID http://orcid.org/0000-0003-2544-6917
Pat WechterCoastal Research and Education Center, Clemson University, Charleston, SC, 29414, USA.
Venkat GanaparthiCoastal Research and Education Center, Clemson University, Charleston, SC, 29414, USA.
Diego JarquinUniversity of Florida, Gainesville, FL, 32611, USA.
Shaker KousikUSDA, ARS, U.S. Vegetable Laboratory, 2700 Savannah Highway, Charleston, SC, 29414, USA.
Sandra BranhamCoastal Research and Education Center, Clemson University, Charleston, SC, 29414, USA.
Amnon LeviUSDA, ARS, U.S. Vegetable Laboratory, 2700 Savannah Highway, Charleston, SC, 29414, USA. amnon.levi@usda.gov.

Funding

National Institute of Food and Agriculture 2020-51181-32139
6 · The paper itself

Abstract

Complex traits influenced by multiple genes pose challenges for marker-assisted selection (MAS) in breeding. Genomic selection (GS) is a promising strategy for achieving higher genetic gains in quantitative traits by stacking favorable alleles into elite cultivars. Resistance to Fusarium oxysporum f. sp. niveum (Fon) race 2 in watermelon is a polygenic trait with moderate heritability. This study evaluated GS as an additional approach to quantitative trait loci (QTL) analysis/marker-assisted selection (MAS) for enhancing Fon race 2 resistance in elite watermelon cultivars. Objectives were to: (1) assess the accuracy of genomic prediction (GP) models for predicting Fon race 2 resistance in a F

Indexed as

CitrullusDisease ResistanceFusariumGenomicsPlant DiseasesChromosome MappingGenetic MarkersGenome, PlantGenotypeModels, GeneticPhenotypePlant BreedingPolymorphism, Single NucleotideQuantitative Trait LociGenetic Markers

Identifiers

PMID39849180
PMCPMC11757898

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.