Evidence map›Paper›PMID 24872878›Full record

ArticleGigaScience2014

The 3,000 rice genomes project: new opportunities and challenges for future rice research.

Jia-Yang Li, Jun Wang, Robert S Zeigler

Abstract read
In one paragraph

Article in GigaScience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 158 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
158citing papers in PubMed, 1 pooled it
–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

158 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Superior alleles ofNational science review · 2026
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  17. Genome-wide association analysis in identification of superior haplotypes for vegetative stage drought stress tolerance in rice.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
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98 more citing papers are in PubMed but not listed here.

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.

Jia-Yang LiChinese Academy of Agricultural Sciences, 12 S. Zhong-Guan-Cun St, Beijing 100081, China.
Jun WangBGI, Bei Shan Industrial Zone, Yantian District, Shenzhen 518083, China.
Robert S ZeiglerInternational Rice Research Institute, DAPO 7777, Metro Manila 1301, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice is the world's most important staple grown by millions of small-holder farmers. Sustaining rice production relies on the intelligent use of rice diversity. The 3,000 Rice Genomes Project is a giga-dataset of publically available genome sequences (averaging 14× depth of coverage) derived from 3,000 accessions of rice with global representation of genetic and functional diversity. The seed of these accessions is available from the International Rice Genebank Collection. Together, they are an unprecedented resource for advancing rice science and breeding technology. Our immediate challenge now is to comprehensively and systematically mine this dataset to link genotypic variation to functional variation with the ultimate goal of creating new and sustainable rice varieties that can support a future world population that will approach 9.6 billion by 2050.

Indexed as

Genetic resourcesGenome diversityOryza sativaPhenomicsSequencing

Identifiers

PMID24872878
PMCPMC4035671

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.