Evidence map›Paper›PMID 37314604›Full record

ArticleMolecular biology reports2023

Mapping of QTLs associated with yield and related traits under reproductive stage drought stress in rice using SNP linkage map.

Rahul Kaldate, Rahul Kumar Verma, Sanjay Kumar Chetia, Pradip Chandra Dey, Mayuri D Mahalle, Sushil Kumar Singh, Akhil Ranjan Baruah, Mahendra Kumar Modi

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Identification of significant SNPs and candidate loci for blast disease resistance via GWAS and population structure analysis in ARC panel ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2024
    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

8 authors.

Rahul KaldateDepartment of Agricultural Biotechnology, Assam Agricultural University (AAU), Jorhat, Assam, 785013, India.
Rahul Kumar VermaDepartment of Biotechnology-North East Centre for Agricultural Biotechnology (DBT-NECAB), AAU, Jorhat, Assam, 785013, India.
Sanjay Kumar ChetiaAssam Rice Research Institute, Titabar, Assam, 785630, India.
Pradip Chandra DeyAssam Rice Research Institute, Titabar, Assam, 785630, India.
Mayuri D MahalleDepartment of Agricultural Biotechnology, Assam Agricultural University (AAU), Jorhat, Assam, 785013, India.
Sushil Kumar SinghDepartment of Biotechnology-North East Centre for Agricultural Biotechnology (DBT-NECAB), AAU, Jorhat, Assam, 785013, India.
Akhil Ranjan BaruahDepartment of Agricultural Biotechnology, Assam Agricultural University (AAU), Jorhat, Assam, 785013, India.
Mahendra Kumar ModiDepartment of Agricultural Biotechnology, Assam Agricultural University (AAU), Jorhat, Assam, 785013, India. mkmodi@aau.ac.in.ORCID http://orcid.org/0000-0001-5509-4612

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrought stress is a major constraint for rice production worldwide. Reproductive stage drought stress (RSDS) leads to heavy yield losses in rice. The prospecting of new donor cultivars for identification and introgression of QTLs of major effect (Quantitative trait locus) for drought tolerance is crucial for the development of drought-resilient rice varieties. METHODS AND

resultsOur study aimed to map QTLs associated with yield and its related traits under RSDS conditions. A saturated linkage map was constructed using 3417 GBS (Genotyping by sequencing) derived SNP (Single nucleotide polymorphism) markers spanning 1924.136 cM map length with an average marker density of 0.56 cM, in the F

conclusionSeveral QTLs associated with grain yield and yield components and putative candidate genes were identified. The putative QTLs and candidate genes identified could be employed to augment drought resilience in rice after further validation through MAS strategies.

Indexed as

OryzaQuantitative Trait LociChromosome MappingDroughtsEdible GrainPhenotypeGene identificationGenotyping by sequencingHigh-density linkage mapMapping populationQuantitative trait lociReproductive stage drought stressRice

Identifiers

What OpenQuestion holds

Textmetadata
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.