Evidence map›Paper›PMID 38576786›Full record

ArticleFrontiers in plant science2024

Genome-wide association study and genomic prediction for resistance to brown planthopper in rice.

Cong Zhou, Weihua Jiang, Jianping Guo, Lili Zhu, Lijiang Liu, Shengyi Liu, Rongzhi Chen, Bo Du, Jin Huang

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

9 authors.

Cong ZhouOil Crops Research Institute of the Chinese Academy of Agricultural Sciences/The Key Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs, Wuhan, China.
Weihua JiangState Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China.
Jianping GuoState Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China.
Lili ZhuState Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China.
Lijiang LiuOil Crops Research Institute of the Chinese Academy of Agricultural Sciences/The Key Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs, Wuhan, China.
Shengyi LiuOil Crops Research Institute of the Chinese Academy of Agricultural Sciences/The Key Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs, Wuhan, China.
Rongzhi ChenState Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China.
Bo DuState Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China.
Jin HuangCash Crops Research Institute, Hubei Academy of Agricultural Sciences, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The brown planthopper (BPH) is the most destructive insect pest that threatens rice production globally. Developing rice varieties incorporating BPH-resistant genes has proven to be an effective control measure against BPH. In this study, we assessed the resistance of a core collection consisting of 502 rice germplasms by evaluating resistance scores, weight gain rates and honeydew excretions. A total of 117 rice varieties (23.31%) exhibited resistance to BPH. Genome-wide association studies (GWAS) were performed on both the entire panel of 502 rice varieties and its subspecies, and 6 loci were significantly associated with resistance scores (P value < 1.0e

Indexed as

brown planthoppercandidate genesgenomic predictionGWASrice

Identifiers

PMID38576786
PMCPMC10991774

What OpenQuestion holds

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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.