Evidence map›Paper›PMID 29356995›Full record

ArticleRice (New York, N.Y.)2018

Effect of qGN4.1 QTL for Grain Number per Panicle in Genetic Backgrounds of Twelve Different Mega Varieties of Rice.

Vijay Kumar Singh, Ranjith Kumar Ellur, Ashok Kumar Singh, M Nagarajan, Brahma Deo Singh, Nagendra Kumar Singh

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Mapping of QTLs for Yield Traits Using FFrontiers in plant science · 2022
    Article
  7. Article
  8. Article
  9. Yield-enhancing SPIKE allele from theJournal of genetics · 2021
    Article
  10. Marker-assisted selection for grain number and yield-related traits of rice (Physiology and molecular biology of plants : an international journal of functional plant biology · 2020
    Review
  11. Pleiotropic Effect ofFrontiers in plant science · 2020
    Article
  12. Genes · 2018
    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

6 authors at 3 institutions in 1 country.

Vijay Kumar SinghICAR-National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
Ranjith Kumar EllurDivision of Genetics, ICAR-Indian Agricultural Research Institute (ICAR-IARI), Pusa Campus, New Delhi, 110012, India.
Ashok Kumar SinghDivision of Genetics, ICAR-Indian Agricultural Research Institute (ICAR-IARI), Pusa Campus, New Delhi, 110012, India.
M NagarajanICAR-IARI-Rice Breeding and Genetics Research Centre, Aduthurai, Tamil Nadu, 612101, India.
Brahma Deo SinghSchool of Biotechnology, Banaras Hindu University, Varanasi, 221005, India.
Nagendra Kumar SinghICAR-National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, 110012, India. nksingh@nrcpb.org.ORCID http://orcid.org/0000-0002-7753-8517
Indian Agricultural Research Institute · INNational Research Centre on Plant Biotechnology · INBanaras Hindu University · IN

Funding

Council of Scientific and Industrial Research CSIR-NET JRF
6 · The paper itself

Abstract

backgroundRice is a major source of food, particularly for the growing Asian population; hence, the utilization of genes for enhancing its yield potential is important for ensuring food security. Earlier, we have mapped a major quantitative trait loci (QTL) for the grain number per panicle, qGN4.1, using biparental recombinant inbred line (RIL) populations involving a new plant type Indica rice genotype Pusa 1266. Later, three independent studies have confirmed the presence of a major QTL for spikelet number by three different names (SPIKE, GPS and LSCHL4) in the same chromosomal region, and have implicated the overexpression of Nal1 gene as the causal factor for high spikelet number. However, the effect of qGN4.1 in different rice genetic backgrounds and expression levels of the underlying candidate genes is not known.

resultsHere, we report the effect of qGN4.1 QTL in the genetic backgrounds of 12 different high-yielding mega varieties of rice, introgressed by marker assisted-backcross breeding (MABB) using two QTL positive markers for foreground selection and two QTL negative flanking markers for recombinant selection together with phenotypic selection for the recovery of recipient parent genetic background. Analysis of the performance of BC

conclusionWe have successfully introgressed the qGN4.1 QTL for high grain number per panicle into 12 different mega varieties of rice using marker-assisted backcross breeding. The advanced near-isogenic lines are promising for the development of even higher yielding versions of these high-yielding mega varieties of rice.

Indexed as

Grain numberMarker-assisted backcross breeding (MABB)Near-isogenic lines (NILs)qGN4.1RiceYield

Identifiers

PMID29356995
PMCPMC5777967
OpenAlexW2792461531

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.