Evidence map›Paper›PMID 32385410›Full record

ArticleScientific reports2020

Detecting CSSLs and yield QTLs with additive, epistatic and QTL×environment interaction effects from Oryza sativa × O. nivara IRGC81832 cross.

Divya Balakrishnan, Malathi Surapaneni, Venkateswara Rao Yadavalli, Krishnam Raju Addanki, Sukumar Mesapogu, Kavitha Beerelli, Sarla Neelamraju

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Fine mapping of interspecific secondary CSSL populations revealed key regulators for grain weight atPhysiology and molecular biology of plants : an international journal of functional plant biology · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Mapping of QTLs for Yield Traits Using FFrontiers in plant science · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. A Coordinated Suite of Wild-Introgression Lines inFrontiers in plant science · 2020
    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

7 authors.

Divya BalakrishnanICAR-Indian Institute of Rice Research, Hyderabad, India.ORCID http://orcid.org/0000-0002-5010-5631
Malathi SurapaneniICAR-Indian Institute of Rice Research, Hyderabad, India.
Venkateswara Rao YadavalliICAR-Indian Institute of Rice Research, Hyderabad, India.
Krishnam Raju AddankiICAR-Indian Institute of Rice Research, Hyderabad, India.
Sukumar MesapoguICAR-Indian Institute of Rice Research, Hyderabad, India.
Kavitha BeerelliICAR-Indian Institute of Rice Research, Hyderabad, India.
Sarla NeelamrajuICAR-Indian Institute of Rice Research, Hyderabad, India. sarla_neelamraju@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromosome segment substitution lines (CSSLs) are useful tools for precise mapping of quantitative trait loci (QTLs) and the evaluation of gene action and interaction in inter-specific crosses. In this study, a set of 90 back cross lines at BC

Indexed as

Chromosome MappingCrosses, GeneticEnvironmentEpistasis, GeneticGene-Environment InteractionQuantitative Trait LociAllelesGenetic LinkageGenotypeMicrosatellite RepeatsOryzaPhenotype

Identifiers

PMID32385410
PMCPMC7210974

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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.