Evidence map›Paper›PMID 36181551›Full record

ArticleRice (New York, N.Y.)2022

Genomic Architecture of Yield Performance of an Elite Rice Hybrid Revealed by its Derived Recombinant Inbred Line and Their Backcross Hybrid Populations.

Fan Zhang, Conghe Zhang, Xiuqin Zhao, Shuangbing Zhu, Kai Chen, Guixiang Zhou, Zhichao Wu, Min Li, Tianqing Zheng, Wensheng Wang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

15 authors at 3 institutions in 1 country.

Fan Zhang *Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Conghe Zhang *Winall Hi-Tech Seed Co., Ltd., Hefei, 230088, Anhui, China.
Xiuqin Zhao *Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Shuangbing Zhu *Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangzhou, 518120, China.
Kai ChenShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangzhou, 518120, China.
Guixiang ZhouWinall Hi-Tech Seed Co., Ltd., Hefei, 230088, Anhui, China.
Zhichao WuInstitute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Min LiCollege of Agronomy, Anhui Agricultural University, Hefei, 230036, Anhui, China.
Tianqing ZhengInstitute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Wensheng WangInstitute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Zhi YanWinall Hi-Tech Seed Co., Ltd., Hefei, 230088, Anhui, China.
Qinyong FeiWinall Hi-Tech Seed Co., Ltd., Hefei, 230088, Anhui, China.
Zhikang LiInstitute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. zhkli1953@126.com.
Jinjie ChenWinall Hi-Tech Seed Co., Ltd., Hefei, 230088, Anhui, China. m13505601533@163.com.
Jianlong XuInstitute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. xujlcaas@126.com.
Anhui Agricultural University · CNChinese Academy of Agricultural Sciences · CNInstitute of Crop Sciences · CN

Funding

Agricultural Science and Technology Innovation Program and the Cooperation and Innovation Mission CAAS-ZDXT202001Key Research and Development Project of Hainan Province ZDYF2021XDNY128Key Science and Technology Project of Anhui Province 201903A06020011
6 · The paper itself

Abstract

backgroundSince its development and wide adoption in China, hybrid rice has reached the yield plateau for more than three decades. To understand the genetic basis of heterosis in rice and accelerate hybrid rice breeding, the yield performances of the elite rice hybrid, Quan-you-si-miao (QYSM) were genetically dissected by whole-genome sequencing, large-scale phenotyping of 1061 recombined inbred lines (RILs) and 1061 backcross F

resultsGenome-wide scanning of 13,847 segregating genes between the parents and linkage mapping based on 855 bins across the rice genome and phenotyping experiments across three environments resulted in identification of large numbers of genes, 639 main-effect QTLs (M-QTLs) and 2736 epistatic QTLs with significant additive or heterotic effects on the trait performances of the combined population consisting of RILs and BCF

conclusionsThe parents of QYSM and related rice hybrids in China carry disproportionally more additive and under-dominant genes/QTLs affecting yield traits. Further focus in indica/Xian rice breeding should shift back to improving inbred varieties, while breaking yield ceiling of Xian hybrids can be achieved by one or combinations of the three strategies: (1) by pyramiding favorable alleles of additive genes, (2) by eliminating or minimizing under-dominant loci, and (3) by pyramiding overdominant/dominant genes polymorphic, particularly those underlying inter-subspecific heterosis.

Indexed as

GenomicsHaplotype-based mappingHeterosisHybrid riceWhole-genome sequencing

Identifiers

PMID36181551
PMCPMC9526777
OpenAlexW4298326980

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.