Evidence map›Paper›PMID 34220939›Full record

ArticleFrontiers in genetics2021

Identification of Main-Effect and Environmental Interaction QTL and Their Candidate Genes for Drought Tolerance in a Wheat RIL Population Between Two Elite Spring Cultivars.

S M Hisam Al Rabbi, Ajay Kumar, Sepehr Mohajeri Naraghi, Suraj Sapkota, Mohammed S Alamri, Elias M Elias, Shahryar Kianian, Raed Seetan, Ali Missaoui, Shyam Solanki and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. An elite allele TaDT1-ANature communications · 2025
    Article
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  4. Article
  5. Review
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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

11 authors at 6 institutions in 2 countries.

S M Hisam Al RabbiDepartment of Plant Sciences, North Dakota State University, Fargo, ND, United States.
Ajay KumarDepartment of Plant Sciences, North Dakota State University, Fargo, ND, United States.
Sepehr Mohajeri NaraghiDepartment of Plant Sciences, North Dakota State University, Fargo, ND, United States.
Suraj SapkotaInstitute of Plant Breeding, Genetics, and Genomics, University of Georgia, Griffin, GA, United States.
Mohammed S AlamriDepartment of Food Science and Nutrition, King Saud University, Riyadh, Saudi Arabia.
Elias M EliasDepartment of Plant Sciences, North Dakota State University, Fargo, ND, United States.
Shahryar KianianUSDA-ARS Cereal Disease Laboratory, University of Minnesota, St. Paul, MN, United States.
Raed SeetanDepartment of Computer Science, Slippery Rock University, Slippery Rock, PA, United States.
Ali MissaouiInstitute of Plant Breeding, Genetics, and Genomics, University of Georgia, Griffin, GA, United States.
Shyam SolankiDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, United States.
Mohamed MergoumInstitute of Plant Breeding, Genetics, and Genomics, University of Georgia, Griffin, GA, United States.
North Dakota State University · USUniversity of Georgia · USKing Saud University · SASlippery Rock University · USUniversity of Minnesota · USWashington State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the genetics of drought tolerance can expedite the development of drought-tolerant cultivars in wheat. In this study, we dissected the genetics of drought tolerance in spring wheat using a recombinant inbred line (RIL) population derived from a cross between a drought-tolerant cultivar, 'Reeder' (PI613586), and a high-yielding but drought-susceptible cultivar, 'Albany.' The RIL population was evaluated for grain yield (YLD), grain volume weight (GVW), thousand kernel weight (TKW), plant height (PH), and days to heading (DH) at nine different environments. The Infinium 90 k-based high-density genetic map was generated using 10,657 polymorphic SNP markers representing 2,057 unique loci. Quantitative trait loci (QTL) analysis detected a total of 11 consistent QTL for drought tolerance-related traits. Of these, six QTL were exclusively identified in drought-prone environments, and five were constitutive QTL (identified under both drought and normal conditions). One major QTL on chromosome 7B was identified exclusively under drought environments and explained 13.6% of the phenotypic variation (PV) for YLD. Two other major QTL were detected, one each on chromosomes 7B and 2B under drought-prone environments, and explained 14.86 and 13.94% of phenotypic variation for GVW and YLD, respectively. One novel QTL for drought tolerance was identified on chromosome 2D.

Indexed as

drought tolerancehard red spring wheatmarker-assisted selectionquantitative trait locirecombinant inbred line

Identifiers

PMID34220939
PMCPMC8249774
OpenAlexW3175432712

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.