Evidence map›Paper›PMID 35500017›Full record

ArticlePloS one2022

QTL mapping of morphological characteristics that correlated to drought tolerance in St. Augustinegrass.

Xingwang Yu, Nicolas A H Lara, Esdras M Carbajal, Susana R Milla-Lewis

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Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Genetic and genomic resources for turfgrasses: status, applications, and prospects.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  3. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xingwang YuDepartment of Crop and Soil Sciences, North Carolina State University, Raleigh, North Carolina, United States of America.ORCID 0000-0003-0382-9474
Nicolas A H LaraDepartment of Crop and Soil Sciences, North Carolina State University, Raleigh, North Carolina, United States of America.ORCID 0000-0002-3080-4259
Esdras M CarbajalDepartment 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

St. Augustinegrass is a warm-season grass species widely utilized as turf in the southeastern U.S. It shows significant variation in plant growth and morphological characteristics, some of which are potentially associated with drought tolerance. However, the genetic basis of these variations is not well understood. Detecting quantitative trait loci (QTL) associated with morphological traits will provide a foundation for the application of genetic and molecular breeding in St. Augustinegrass. In this study, we report QTL associated with morphological traits, including leaf blade width (LW), leaf blade length (LL), canopy density (CD), and shoot growth orientation (SGO) in a St. Augustinegrass 'Raleigh' x 'Seville' mapping population containing 115 F1 hybrids. Phenotypic data were collected from one greenhouse and two field trials. Single and joint trial analyses were performed, finding significant phenotypic variance among the hybrids for all traits. Interval mapping (IM) and multiple QTL method (MQM) analysis detected seven QTL for CD, four for LL, five for LW, and two for SGO, which were distributed on linkage groups RLG1, RLG9, SLG3, SLG7, SLG8 and SLG9. In addition, three genomic regions where QTL colocalized were identified on Raleigh LG1 and Seville LG3. One genomic region on Seville LG3 overlapped with two previously reported drought-related QTL for leaf relative water content (RWC) and percent green cover (GC). Several candidate genes related to plant development and drought stress response were identified within QTL intervals. The QTL identified in this study represent a first step in identifying genes controlling morphological traits that might accelerate progress in selection of St. Augustinegrass lines with lower water usage.

Indexed as

DroughtsQuantitative Trait LociChromosome MappingGenetic LinkageWaterWater

Identifiers

PMID35500017
PMCPMC9060340

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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.