Evidence map›Paper›PMID 31846460›Full record

ArticlePloS one2019

Genetic mapping of morpho-physiological traits involved during reproductive stage drought tolerance in rice.

Saumya Ranjan Barik, Elssa Pandit, Sharat Kumar Pradhan, Shakti Prakash Mohanty, Trilochan Mohapatra

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
9.6field-weighted citation impact, top 2% 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

19 citing papers in PubMed, 73 citations in OpenAlex.

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  15. Allele mining for a drought responsive genePhysiology and molecular biology of plants : an international journal of functional plant biology · 2021
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  18. Association of molecular markers with physio-biochemical traits related to seed vigour in rice.Physiology and molecular biology of plants : an international journal of functional plant biology · 2020
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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

5 authors at 2 institutions in 1 country.

Saumya Ranjan BarikICAR-National Rice Research Institute, Cuttack, Odisha, India.
Elssa PanditICAR-National Rice Research Institute, Cuttack, Odisha, India.
Sharat Kumar PradhanICAR-National Rice Research Institute, Cuttack, Odisha, India.ORCID 0000-0001-7716-0721
Shakti Prakash MohantyICAR-National Rice Research Institute, Cuttack, Odisha, India.
Trilochan MohapatraIndian Council of Agricultural Research, New Delhi, India.
Central Rice Research Institute · INIndian Council of Agricultural Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reproductive stage drought stress is an important yield reducing factor in rainfed rice. Genetic mapping of morpho-physiological traits under the stress will help to develop cultivars suitable for drought prone environments through marker-assisted breeding (MAB). Though various yield QTLs under reproductive stage drought tolerance are available for MAB, but no robust markers controlling different morho-physiological traits are available for this stress tolerance. QTLs linked to morpho-physiological traits under drought stress were mapped by evaluating 190 F7 recombinant inbred lines (RIL) using bulk segregant analysis (BSA) strategy. Wide variations were observed in the RILs for eleven morpho-physiological traits involved during the stress. A total of 401 SSR primers were surveyed for parental polymorphism of which 77 were detected to be polymorphic. Inclusive composite interval mapping detected a total of five consistent QTLs controlling leaf rolling (qLR9.1), leaf drying (qLD9.1), harvest index (qHI9.1), spikelet fertility (qSF9.1) and relative water content (qRWC9.1) under reproductive stage drought stress. Another two non-allelic QTLs controlling leaf rolling (qLR8.1) and leaf drying (qLD12.1) were also detected to be linked and found to control the two traits. QTL controlling leaf rolling, qLR8.1 was validated in this mapping population and may be useful in MAB programs. Out of these five consistent QTLs, four (qLR9.1, qLD9.1, qHI9.1 and qRWC9.1) were detected to be novel QTLs and useful for MAB for improvement of reproductive stage drought tolerance in rice.

Indexed as

Adaptation, PhysiologicalChromosome MappingDroughtsGenotypeMicrosatellite RepeatsOryzaPhenotypePlant BreedingPlant LeavesQuantitative Trait LociSalt-Tolerant PlantsStress, Physiological

Identifiers

PMID31846460
PMCPMC6917300
OpenAlexW2995916287

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.