Evidence map›Paper›PMID 26880301›Full record

ArticleScientific reports2016

Genetic dissection of plant architecture and yield-related traits in Brassica napus.

Guangqin Cai, Qingyong Yang, Hao Chen, Qian Yang, Chunyu Zhang, Chuchuan Fan, Yongming Zhou

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Targeted mutation ofHorticulture research · 2025
    Article
  7. Improving linolenic acid content in rapeseed oil by overexpression ofMolecular breeding : new strategies in plant improvement · 2024
    Article
  8. Article
  9. Article
  10. Fine mapping of BnDM1-the gene regulating indeterminate inflorescence in Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  11. Genetic analysis and QTL mapping for silique density in rapeseed (Brassica napus L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  12. International journal of molecular sciences · 2023
    Article
  13. Article
  14. Review
  15. Article
  16. Further insight into decreases in seed glucosinolate content based on QTL mapping and RNA-seq in Brassica napus L.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  17. Article
  18. Plants (Basel, Switzerland) · 2022
    Article
  19. Article
  20. Genetic dissection of seed yield and yield-related traits inMolecular breeding : new strategies in plant improvement · 2022
    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

7 authors.

Guangqin CaiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
Qingyong YangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
Hao ChenNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
Qian YangKey Laboratory of Rapeseed Genetics and Breeding of Agriculture Ministry of China, Huazhong Agricultural University, Wuhan 430070, China.
Chunyu ZhangKey Laboratory of Rapeseed Genetics and Breeding of Agriculture Ministry of China, Huazhong Agricultural University, Wuhan 430070, China.
Chuchuan FanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
Yongming ZhouNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An optimized plant architecture (PA) is fundamental for high-yield breeding but the genetic control of the important trait is largely unknown in rapeseed. Here plant architecture factors (PAFs) were proposed to consist of main inflorescence length proportion (MILP), branch height proportion (BHP), and branch segment proportion (BSP). Comparison of different genotypes in a DH population grown in diverse environments showed that an optimized PAF performance with MILP and BHP between 0.3-0.4 was important for high yield potential. In total, 163 unique quantitative trait loci (QTLs) for PA- and plant yield (PY)-related traits were mapped onto a high-density genetic map. Furthermore, 190 PA-related candidate genes for 91 unique PA QTLs and 2350 PY epistatic interaction loci-pairs were identified, which explain 2.8-51.8% and 5.2-23.6% of phenotypic variation, respectively. Three gene categories, transcription factor, auxin/IAA, and gibberellin, comprise the largest proportions of candidate genes for PA-related QTLs. The effectiveness of QTL candidate genes prediction was demonstrated by cloning of three candidate genes, Bna.A02.CLV2, Bna.A09.SLY2, and Bna.C07.AHK4. The study thus outlines a gene network for control of PA-related traits and provides novel information for understanding the establishment of ideal PA and for developing effective breeding strategies for yield improvement in rapeseed and other crops.

Indexed as

ArabidopsisBrassica napusCrops, AgriculturalGenotypeQuantitative Trait LociSeeds

Identifiers

PMID26880301
PMCPMC4754947

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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.