Evidence map›Paper›PMID 23136475›Full record

ArticleBreeding science2011

Genetic analysis of heterotic loci detected in a cross between indica and japonica rice (Oryza sativa L.).

Xiao Yun Xin, Wen Xiang Wang, Jin Shui Yang, Xiao Jin Luo

Open access · bronzeAbstract read
In one paragraph

Article in Breeding science, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 29 citations in OpenAlex.

  1. Introgression of Heterotic Genomic Segments fromPlants (Basel, Switzerland) · 2023
    Article
  2. Article
  3. Review
  4. Article
  5. Hybrid wheat: past, present and future.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Review
  6. Development and use of chromosome segment substitution lines as a genetic resource for crop improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Review
  7. 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

4 authors at 1 institution in 1 country.

Xiao Yun XinState Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University , Shanghai 200433, China.
Wen Xiang Wang
Jin Shui Yang
Xiao Jin Luo
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study on the genetic basis of heterosis has received significant attention in recent years. In this study, using a set of introgression lines (ILs) and corresponding testcross F(1) populations, we investigated heterotic loci (HL) associated with six yield-related traits in both Oryza sativa L. subsp. indica and japonica. A total of 41 HL were detected on the basis of mid-parent heterosis values with single-point analysis. The F(1) test-cross population showed superiority in most yield-related traits and was characterized by a high frequency of overdominant HL. Thirty-eight of the 41 HL were overdominant, and in the absence of epistasis, three HL were dominant, suggesting that heterotic effects at the single-locus level mainly appeared to be overdominant in rice. Twenty-four HL had a real positive effect, suggesting that they are viable candidates for the improvement of rice yield potential. Compared with the quantitative trait loci (QTLs) detected in the ILs, only six out of the 41 (14.6%) HL were detected in QTL analysis under the same statistical threshold, indicating that heterosis and trait performance may be conditioned by different sets of loci.

Indexed as

heterotic lociintrogression linesoverdominantQTLs

Identifiers

PMID23136475
PMCPMC3406766
OpenAlexW2007303399

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.