Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
0numbers the graph read from it
0cells of the map it votes in
6citing 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.
Guixin Yuan *State Key Laboratory of Agricultural and Forestry Biosecurity and MARA Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0001-5996-5497
Xunli Lu *State Key Laboratory of Agricultural and Forestry Biosecurity and MARA Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0002-3557-5475
Xingbin Wang *State Key Laboratory of Agricultural and Forestry Biosecurity and MARA Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing, China.
Mengfei LiState Key Laboratory of Agricultural and Forestry Biosecurity and MARA Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing, China.
Shiwei WangState Key Laboratory of Agricultural and Forestry Biosecurity and MARA Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing, China.
Zhaoxiang HuangState Key Laboratory of Agricultural and Forestry Biosecurity and MARA Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing, China.ORCID http://orcid.org/0009-0007-1390-0787
Zhigang LiState Key Laboratory of Agricultural and Forestry Biosecurity and MARA Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0001-8314-9430
Fengrui ZhangState Key Laboratory of Agricultural and Forestry Biosecurity and MARA Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing, China.
Xin ZhangState Key Laboratory of Agricultural and Forestry Biosecurity and MARA Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing, China.
Jun YangState Key Laboratory of Agricultural and Forestry Biosecurity and MARA Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0001-6085-9245
Hailong GuoState Key Laboratory of Agricultural and Forestry Biosecurity and MARA Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0003-2794-9534
Vijai BhadauriaState Key Laboratory of Agricultural and Forestry Biosecurity and MARA Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0003-1982-0853
Wang-Sheng ZhuState Key Laboratory of Agricultural and Forestry Biosecurity and MARA Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0001-7773-3438
Wensheng ZhaoState Key Laboratory of Agricultural and Forestry Biosecurity and MARA Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0003-4852-8106
Meng YuanYazhouwan National Laboratory, Sanya, China.
You-Liang PengState Key Laboratory of Agricultural and Forestry Biosecurity and MARA Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing, China. pengyl@cau.edu.cn.ORCID http://orcid.org/0000-0001-6360-3034
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Rice is a staple crop for more than half of the world's population, and its sustainable production is vital to ensure global food security. However, rice is susceptible to several devastating fungal diseases
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.
Inactivating SnRK1β1A promotes broad-spectrum disease resistance in rice. · full record | OpenQuestion