Evidence map›Paper›PMID 27602034›Full record

ArticleFrontiers in plant science2016

Identification of Quantitative Trait Loci Controlling Root and Shoot Traits Associated with Drought Tolerance in a Lentil (Lens culinaris Medik.) Recombinant Inbred Line Population.

Omar Idrissi, Sripada M Udupa, Ellen De Keyser, Rebecca J McGee, Clarice J Coyne, Gopesh C Saha, Fred J Muehlbauer, Patrick Van Damme, Jan De Riek

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
9.6field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 55 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Root Trait Variation in Lentil (Plants (Basel, Switzerland) · 2021
    Article
  7. International journal of molecular sciences · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Validation of reference genes for qRT-PCR data normalisation in lentil (Physiology and molecular biology of plants : an international journal of functional plant biology · 2019
    Article
  13. 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

9 authors at 5 institutions in 4 countries.

Omar IdrissiDepartment of Plant Production, Faculty of Bioscience Engineering, Ghent UniversityGhent, Belgium; Institut National de la Recherche Agronomique du Maroc (INRA), Centre Régional de SettatSettat, Morocco.
Sripada M UdupaInternational Center for Agricultural Research in the Dry Areas, Institut National de la Recherche Agronomique Morocco Cooperative Research Project Rabat, Morocco.
Ellen De KeyserPlant Sciences Unit, Applied Genetics and Breeding, The Institute for Agricultural and Fisheries Research (ILVO) Melle, Belgium.
Rebecca J McGeeUnited States Department of Agriculture, Agricultural Research Service Grain Legume Genetics and Physiology Research Pullman, WA, USA.
Clarice J CoyneUnited States Department of Agriculture, Agricultural Research Service Western Regional Plant Introduction, Washington State University Pullman, WA, USA.
Gopesh C SahaBrotherton Seed Company Washington, DC, USA.
Fred J MuehlbauerUnited States Department of Agriculture, Agricultural Research Service Western Regional Plant Introduction, Washington State University Pullman, WA, USA.
Patrick Van DammeDepartment of Plant Production, Faculty of Bioscience Engineering, Ghent UniversityGhent, Belgium; Faculty of Tropical AgriSciences, Czech University of Life SciencesPrague, Czech Republic.
Jan De RiekPlant Sciences Unit, Applied Genetics and Breeding, The Institute for Agricultural and Fisheries Research (ILVO) Melle, Belgium.
Agricultural Research Service · USCzech University of Life Sciences Prague · CZGhent University · BEUnited States Department of Agriculture · USWashington State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought is one of the major abiotic stresses limiting lentil productivity in rainfed production systems. Specific rooting patterns can be associated with drought avoidance mechanisms that can be used in lentil breeding programs. In all, 252 co-dominant and dominant markers were used for Quantitative Trait Loci (QTL) analysis on 132 lentil recombinant inbred lines based on greenhouse experiments for root and shoot traits during two seasons under progressive drought-stressed conditions. Eighteen QTLs controlling a total of 14 root and shoot traits were identified. A QTL-hotspot genomic region related to a number of root and shoot characteristics associated with drought tolerance such as dry root biomass, root surface area, lateral root number, dry shoot biomass and shoot length was identified. Interestingly, a QTL (QRSratioIX-2.30) related to root-shoot ratio, an important trait for drought avoidance, explaining the highest phenotypic variance of 27.6 and 28.9% for the two consecutive seasons, respectively, was detected. This QTL was closed to the co-dominant SNP marker TP6337 and also flanked by the two SNP TP518 and TP1280. An important QTL (QLRNIII-98.64) related to lateral root number was found close to TP3371 and flanked by TP5093 and TP6072 SNP markers. Also, a QTL (QSRLIV-61.63) associated with specific root length was identified close to TP1873 and flanked by F7XEM6b SRAP marker and TP1035 SNP marker. These two QTLs were detected in both seasons. Our results could be used for marker-assisted selection in lentil breeding programs targeting root and shoot characteristics conferring drought avoidance as an efficient alternative to slow and labor-intensive conventional breeding methods.

Indexed as

breedingdrought toleranceecophysiologylentilmarker-assisted selectionplantQTL

Identifiers

PMID27602034
PMCPMC4993778
OpenAlexW2513385819

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.