Evidence map›Paper›PMID 19359285›Full record

ReviewDNA research : an international journal for rapid publication of reports on genes and genomes2009

Towards the understanding of complex traits in rice: substantially or superficially?

Toshio Yamamoto, Junichi Yonemaru, Masahiro Yano

Open access · goldAbstract readReview
In one paragraph

Review in DNA research : an international journal for rapid publication of reports on genes and genomes, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
10.0field-weighted citation impact, top 1% 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

60 citing papers in PubMed, 140 citations in OpenAlex.

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  10. Fine mapping and cloning of a novel BrSCC1 gene for seed coat color in Brassica rapa L.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
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  20. The Sorghum QTL Atlas: a powerful tool for trait dissection, comparative genomics and crop improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    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

3 authors at 1 institution in 1 country.

Toshio YamamotoQTL Genomics Research Center, National Institute of Agrobiological Science, Kannondai 2-1-2, Tsukuba, Ibaraki 305-8602, Japan.
Junichi Yonemaru
Masahiro Yano
Institute of Agrobiological Sciences · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Completion of the genome analysis followed by extensive comprehensive studies on a variety of genes and gene families of rice (Oryza sativa) resulted in rapid accumulation of information concerning the presence of many complex traits that are governed by a number of genes of distinct functions in this most important crop cultivated worldwide. The genetic and molecular biological dissection of many important rice phenotypes has contributed to our understanding of the complex nature of the genetic control with respect to these phenotypes. However, in spite of the considerable advances made in the field, details of genetic control remain largely unsolved, thereby hampering our exploitation of this useful information in the breeding of new rice cultivars. To further strengthen the field application of the genome science data of rice obtained so far, we need to develop more powerful genomics-assisted methods for rice breeding based on information derived from various quantitative trait loci (QTL) and related analyses. In this review, we describe recent progresses and outcomes in rice QTL analyses, problems associated with the application of the technology to rice breeding and their implications for the genetic study of other crops along with future perspectives of the relevant fields.

Indexed as

Genome, PlantQuantitative Trait LociBreedingCrops, AgriculturalGenetic MarkersGenetic VariationOryzaGenetic Markers

Identifiers

PMID19359285
PMCPMC2695773
OpenAlexW2168847740

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.