Evidence map›Paper›PMID 31671135›Full record

ArticlePloS one2019

Detection of quantitative trait loci associated with drought tolerance in St. Augustinegrass.

Xingwang Yu, Jessica M Brown, Sydney E Graham, Esdras M Carbajal, Maria C Zuleta, Susana R Milla-Lewis

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Genetic and genomic resources for turfgrasses: status, applications, and prospects.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. Frontiers in plant science · 2022
    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

6 authors at 1 institution in 1 country.

Xingwang YuDepartment of Crop and Soil Sciences, North Carolina State University, Raleigh, North Carolina, United States of America.ORCID 0000-0003-0382-9474
Jessica M BrownDepartment of Crop and Soil Sciences, North Carolina State University, Raleigh, North Carolina, United States of America.
Sydney E GrahamDepartment of Crop and Soil Sciences, North Carolina State University, Raleigh, North Carolina, United States of America.
Esdras M CarbajalDepartment of Crop and Soil Sciences, North Carolina State University, Raleigh, North Carolina, United States of America.
Maria C ZuletaDepartment of Crop and Soil Sciences, North Carolina State University, Raleigh, North Carolina, United States of America.
Susana R Milla-LewisDepartment of Crop and Soil Sciences, North Carolina State University, Raleigh, North Carolina, United States of America.
North Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

St. Augustinegrass (Stenotaphrum secundatum) is a warm-season grass species commonly utilized as turf in the southeastern US. Improvement in the drought tolerance of St. Augustinegrass has significant value within the turfgrass industry. Detecting quantitative trait loci (QTL) associated with drought tolerance will allow for advanced breeding strategies to identify St. Augustinegrass germplasm with improved performance for this trait. A multi-year and multi-environment study was performed to identify QTL in a 'Raleigh' x 'Seville' mapping population segregating for phenotypic traits associated with drought tolerance. Phenotypic data was collected from a field trial and a two-year greenhouse study, which included relative water content (RWC), chlorophyll content (CHC), leaf firing (LF), leaf wilting (LW), green cover (GC) and normalized difference vegetative index (NDVI). Significant phenotypic variance was observed and a total of 70 QTL were detected for all traits. A genomic region on linkage group R6 simultaneously harbored QTL for RWC, LF and LW in different experiments. In addition, overlapping QTL for GC, LF, LW and NDVI were found on linkage groups R1, R5, R7 and S2. Sequence alignment analysis revealed several drought response genes within these regions. The QTL identified in this study have potential to be used in the future to identify genes associated with drought tolerance and for use in marker-assisted breeding.

Indexed as

Chromosome MappingDroughtsGenetic LinkageGenotypePhenotypePlant LeavesPoaceaeQuantitative Trait Loci

Identifiers

PMID31671135
PMCPMC6822738
OpenAlexW2986130858

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.