Evidence map›Paper›PMID 36070104›Full record

ArticlePlanta2022

Mapping QTLs for yield and photosynthesis-related traits in three consecutive backcross populations of Oryza sativa cultivar Cottondora Sannalu (MTU1010) and Oryza rufipogon.

Venkateswara Rao Yadavalli, Divya Balakrishnan, Malathi Surapaneni, Krishnamraju Addanki, Sukumar Mesapogu, Kavitha Beerelli, Subrahmanyam Desiraju, Sitapati Rao Voleti, Sarla Neelamraju

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Article in Planta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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
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

9 authors.

Venkateswara Rao YadavalliICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India.
Divya BalakrishnanICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India.
Malathi SurapaneniICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India.
Krishnamraju AddankiICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India.
Sukumar MesapoguICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India.
Kavitha BeerelliICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India.
Subrahmanyam DesirajuDepartment of Plant Physiology, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India.
Sitapati Rao VoletiDepartment of Plant Physiology, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India.
Sarla NeelamrajuICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India. sarla_neelamraju@yahoo.com.ORCID http://orcid.org/0000-0002-0072-2172

Funding

Indian Council of Agricultural Research F.No: Edn/27/4/NP/2012-HRD
6 · The paper itself

Abstract

MAIN

conclusionIdentification of trait enhancing QTLs for yield and photosynthesis-related traits in rice using interspecific mapping population and chromosome segment substitution lines derived from a cross between Oryza sativa and Oryza rufipogon. Wild rice contains novel genes which can help in improving rice yield. Common wild rice Oryza rufipogon is a known source for enhanced photosynthesis and yield-related traits. We developed BC

Indexed as

OryzaCrosses, GeneticPhenotypePhotosynthesisQuantitative Trait LociBILsCSSLsOryza rufipogonPhotosynthesisQTLsWild riceYield

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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.