Evidence map›Paper›PMID 29663054›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2018

Field evaluation of three sources of genetic resistance to sudden death syndrome of soybean.

Lillian F Brzostowski, Timothy I Pruski, Glen L Hartman, Jason P Bond, Dechun Wang, Silvia R Cianzio, Brian W Diers

Abstract read
PubMed Publisher
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2018. 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
1.0field-weighted citation impact, top 17% 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, 7 citations in OpenAlex.

  1. Breeding for disease resistance in soybean: a global perspective.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Review
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 at 5 institutions in 1 country.

Lillian F BrzostowskiDepartment of Crop Sci, University of Illinois, Urbana, IL, 61801, USA.
Timothy I PruskiBayer CropScience, White Heath, IL, 61884, USA.
Glen L HartmanDepartment of Crop Sci, University of Illinois, Urbana, IL, 61801, USA.
Jason P BondDepartment of Plant, Soil, and Ag. Systems, Southern Illinois University, Carbondale, IL, 62901, USA.
Dechun WangDepartment of Crop and Soil Sci, Michigan State University, East Lansing, MI, 48824, USA.
Silvia R CianzioDepartment of Agronomy, Iowa State University, Ames, IA, 50011, USA.
Brian W DiersDepartment of Crop Sci, University of Illinois, Urbana, IL, 61801, USA. bdiers@illinois.edu.
University of Illinois Urbana-Champaign · USBayer (United States) · USIowa State University · USMichigan State University · USSouthern Illinois University Carbondale · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageDespite numerous challenges, field testing of three sources of genetic resistance to sudden death syndrome of soybean provides information to more effectively improve resistance to this disease in cultivars. Sudden death syndrome (SDS) of soybean [Glycine max (L.) Merrill] is a disease that causes yield loss in soybean growing regions across the USA and worldwide. While several quantitative trait loci (QTL) for SDS resistance have been mapped, studies to further evaluate these QTL are limited. The objective of our research was to map SDS resistance QTL and to test the effect of mapped resistance QTL on foliar symptoms when incorporated into elite soybean backgrounds. We mapped a QTL from Ripley to chromosome 10 (CHR10) and a QTL from PI507531 to chromosomes 1 and 18 (CHR1 and 18). Six populations were then developed to test the following QTL: cqSDS-001, with resistance originating from PI567374, CHR10, CHR1, and CHR18. The populations which segregated for resistant and susceptible QTL alleles were field tested in multiple environments and evaluated for SDS foliar symptoms. While foliar disease development was variable across environments and populations, a significant effect of each QTL on disease was detected within at least one environment. This includes the detection of cqSDS-001 in three genetic backgrounds. The QTL allele from the resistant parents was associated with greater resistance than the susceptible alleles for all QTL and backgrounds with the exception of the allele for CHR18, where the opposite occurred. This study highlights the importance and difficulties of evaluating QTL and the need for multi-year SDS field testing. The information presented in this study can aid breeders in making decisions to improve resistance to SDS.

Indexed as

Quantitative Trait LociChromosome MappingCrosses, GeneticDisease ResistanceGlycine maxPhenotypePlant Diseases

Identifiers

PMID29663054
OpenAlexW2801233007

What OpenQuestion 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 OpenQuestion graph.