Evidence map›Paper›PMID 42051043›Full record

ArticleThe plant genome2026

Association mapping for hop cone chemistry and morphology identifies natural beneficial allele stacks.

Shaun J Clare, Peter Schmuker, Kayla Altendorf

Abstract read
In one paragraph

Article in The plant genome, 2026. 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

3 authors.

Shaun J ClareDepartment of Crop and Soil Science, Washington State University, Pullman, Washington, USA.ORCID https://orcid.org/0000-0003-2887-3404
Peter SchmukerDepartment of Crop and Soil Science, Washington State University, Pullman, Washington, USA.ORCID https://orcid.org/0009-0009-0975-8137
Kayla AltendorfUSDA-ARS Forage Seed and Cereal Research Unit, Prosser, Washington, USA.ORCID https://orcid.org/0000-0002-4224-0171

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efforts are underway to increase the efficiency and precision of selection hop (Humulus lupulus L.) breeding using genomics. Little is known, however, about the genetic control of important traits like α-and β-acids contents, oil content, and cone morphological characteristics, all of which play an important role in determining the utility and harvestability of a hop and are targets of selection. In this study, we utilized association mapping with a collection of 529 female hop plants evaluated in Prosser, WA USA in 2023 and 2024, single nucleotide polymorphism data derived from genotyping-by-sequencing with 20,861 markers, and phenotype data generated from near-infrared (NIR) spectroscopy and image analyses of hop cones. A total of 49 significant marker trait associations were detected across five traits with 43 unique loci. High correlation estimates between wet lab and near-infrared spectroscopy data (R = 0.54-0.94), high broad-sense heritability estimates (H

Indexed as

HumulusAllelesChromosome MappingGenotypePhenotypePlant BreedingPolymorphism, Single NucleotideQuantitative Trait LociSpectroscopy, Near-Infrared

Identifiers

PMID42051043
PMCPMC13125966

What Socratic holds

Textmetadata
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 Socratic graph.