Evidence map›Paper›PMID 38805625›Full record

ArticlePlant biotechnology journal2024

DeepCCR: large-scale genomics-based deep learning method for improving rice breeding.

Xiaoding Ma, Hao Wang, Shengyang Wu, Bing Han, Di Cui, Jin Liu, Qiang Zhang, Xiuzhong Xia, Peng Song, Cuifeng Tang and 5 more

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
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  3. Genomic prediction vs. gene-based crop models: a case study on rice trait prediction.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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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

15 authors.

Xiaoding Ma *State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-3623-4680
Hao Wang *State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Shengyang Wu *Bokaisen Biotechnology Ltd., Beijing, China.
Bing HanState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Di CuiState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Jin LiuJiangxi Research Center of Crop Germplasm Resources, Rice Research Institute, Jiangxi Academy of Agricultural Sciences, Nanchang, China.
Qiang ZhangJilin Provincial Laboratory of Crop Germplasm Resources, Rice Research Institute, Jilin Academy of Agricultural Sciences, Changchun, China.
Xiuzhong XiaGuangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, China.
Peng SongNational Key Laboratory of Crop Genetic Improvement, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan, China.
Cuifeng TangKey Lab of Southwestern Crop Gene Resources and Germplasm Innovation, Biotechnology and Germplasm Resources Institute, Kunming, China.
Leiyue GengInstitute of Coastal Agriculture, Hebei Academy of Agriculture and Forestry Sciences, Tangshan, China.
Yaolong YangState Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou, China.
Shen YanState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Kunneng ZhouAnhui Province Key Laboratory of Rice Germplasm Innovation and Molecular Improvement, Rice Research Institute, Anhui Academy of Agricultural Sciences, Hefei, China.
Longzhi HanState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.

Funding

Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural SciencesNational Key Research and Development Program of China 2021YFD1200500STI 2030-Major Projects 2022ZD04017
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Chinese cultivated rice populationconvolutional neural networkgenomic selectionyield trait

Identifiers

PMID38805625
PMCPMC11536438

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.