Evidence map›Paper›PMID 38005780›Full record

ArticlePlants (Basel, Switzerland)2023

Untapped Sources of Dual Resistance to Hessian Fly and Greenbug in Synthetic Hexaploid Wheats.

Subhashree Subramanyam, Harold E Bockelman, Nagesh Sardesai

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2023. 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
0.4field-weighted citation impact, top 21% of its field
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 citations in OpenAlex.

  1. Identification and molecular mapping of a new Hessian fly resistance gene in the spring barley variety 'Golf'.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    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 at 2 institutions in 1 country.

Subhashree SubramanyamCrop Production and Pest Control Research Unit, United States Department of Agriculture-Agricultural Research Service (USDA-ARS), West Lafayette, IN 47907, USA.ORCID 0000-0003-0979-6300
Harold E BockelmanNational Small Grains Collection, United States Department of Agriculture-Agricultural Research Service (USDA-ARS), Aberdeen, ID 83210, USA.
Nagesh SardesaiCorteva Agriscience, Johnston, IA 50131, USA.ORCID 0000-0002-3843-1098
Agricultural Research Service · USCorteva (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Hessian fly (Hf) and greenbugs (Gb) are major pests of wheat, causing severe economic losses globally. Deploying resistant wheat is the most effective strategy for managing these destructive insects. However, the resistance is not effective against all Hf or Gb biotypes and can impose selection pressure on insects, resulting in the development of virulent biotypes. These challenges must be met through the discovery of new and novel sources of resistance to these pests. Synthetic Hexaploid Wheat (SHW)-developed cultivars are a rich source of resistance against a diverse array of pathogens and pests. In this study, 80 SHW lines were evaluated for their resistance to Hf and Gb under controlled environmental conditions. Of these, a total of 36 SHW lines showed resistance independently to Hf biotype L and Gb biotype E, while 27 lines showed combined resistance to both Hf and Gb. Further, a subset of 10 SHW lines showed resistance to additional Hf biotypes, Great Plains and

Indexed as

aphidsdipteragall midgesMayetiola destructorresistanceSchizaphis graminumsusceptibilitysynthetic hexaploid wheat (SHW)Triticum aestivum

Identifiers

PMID38005780
PMCPMC10674412
OpenAlexW4388759814

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.