Evidence map›Paper›PMID 36676037›Full record

ReviewLife (Basel, Switzerland)2022

Applications of Molecular Markers for Developing Abiotic-Stress-Resilient Oilseed Crops.

Vishal Chugh, Dasmeet Kaur, Shalini Purwar, Prashant Kaushik, Vijay Sharma, Hitesh Kumar, Ashutosh Rai, Chandra Mohan Singh, Kamaluddin, R B Dubey

Open access · goldAbstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
5.9field-weighted citation impact, top 4% 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

3 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

10 authors at 4 institutions in 3 countries.

Vishal ChughDepartment of Basic and Social Sciences, College of Horticulture, Banda University of Agriculture and Technology, Banda 210001, India.ORCID 0000-0001-8883-3610
Dasmeet KaurDepartment of Environmental and Plant Biology, Ohio University, Athens, OH 45701, USA.
Shalini PurwarDepartment of Basic Sciences, College of Forestry, Banda University of Agriculture and Technology, Banda 210001, India.ORCID 0000-0002-0471-7207
Prashant KaushikInstituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0002-3145-2849
Vijay SharmaDepartment of Genetics and Plant Breeding, College of Agriculture, Banda University of Agriculture and Technology, Banda 210001, India.ORCID 0000-0002-6223-2857
Hitesh KumarDepartment of Genetics and Plant Breeding, College of Agriculture, Banda University of Agriculture and Technology, Banda 210001, India.ORCID 0000-0003-4137-6955
Ashutosh RaiDepartment of Basic and Social Sciences, College of Horticulture, Banda University of Agriculture and Technology, Banda 210001, India.ORCID 0000-0001-6136-6696
Chandra Mohan SinghDepartment of Genetics and Plant Breeding, College of Agriculture, Banda University of Agriculture and Technology, Banda 210001, India.ORCID 0000-0002-3857-7361
KamaluddinDepartment of Genetics and Plant Breeding, College of Agriculture, Banda University of Agriculture and Technology, Banda 210001, India.
R B DubeyDepartment of Genetics and Plant Breeding, Maharana Pratap University of Agriculture and Technology, Udaipur 313001, India.
Odisha University of Agriculture and Technology · INMaharana Pratap University of Agriculture and Technology · INOhio University · USUniversitat Politècnica de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, abiotic stresses, such as temperature (heat or cold), water (drought and flooding), and salinity, cause significant losses in crop production and have adverse effects on plant growth and development. A variety of DNA-based molecular markers, such as SSRs, RFLPs, AFLPs, SNPs, etc., have been used to screen germplasms for stress tolerance and the QTL mapping of stress-related genes. Such molecular-marker-assisted selection strategies can quicken the development of tolerant/resistant cultivars to withstand abiotic stresses. Oilseeds such as rapeseed, mustard, peanuts, soybeans, sunflower, safflower, sesame, flaxseed, and castor are the most important source of edible oil worldwide. Although oilseed crops are known for their capacity to withstand abiotic challenges, there is a significant difference between actual and potential yields due to the adaptation and tolerance to severe abiotic pressures. This review summarizes the applications of molecular markers to date to achieve abiotic stress tolerance in major oilseed crops. The molecular markers that have been reported for genetic diversity studies and the mapping and tagging of genes/QTLs for drought, heavy metal stress, salinity, flooding, cold and heat stress, and their application in the MAS are presented.

Indexed as

abiotic stressclimate changeMASmolecular breedingmolecular markersoilseedsSSRs

Identifiers

PMID36676037
PMCPMC9867252
OpenAlexW4313415241

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.