Evidence map›Paper›PMID 30255337›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2018

Identification of QTL regions for seedling root traits and their effect on nitrogen use efficiency in wheat (Triticum aestivum L.).

Xiaoli Fan, Wei Zhang, Na Zhang, Mei Chen, Shusong Zheng, Chunhua Zhao, Jie Han, Jiajia Liu, Xilan Zhang, Liqiang Song and 7 more

Abstract read
PubMed Publisher
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2018. 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
6.1field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Characterization of a stable QTL for quality-related traits and its effects on yields in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  6. Article
  7. Article
  8. The Genetic Dissection of Nitrogen Use-Related Traits in Flax (International journal of molecular sciences · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Genome-Wide Identification of Auxin Response Factors in Peanut (International journal of molecular sciences · 2022
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Transcriptomic analysis reveals the contribution ofFrontiers in plant science · 2022
    Article
  20. 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

17 authors at 2 institutions in 1 country.

Xiaoli FanChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China.ORCID http://orcid.org/0000-0003-1095-8805
Wei ZhangCenter for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050022, China.
Na ZhangCenter for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050022, China.
Mei ChenCenter for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050022, China.
Shusong ZhengState Key Laboratory of Plant Cell and Chromosome Engineering, Chinese Academy of Sciences, Beijing, 100101, China.
Chunhua ZhaoGenetic Improvement Centre of Agricultural and Forest Crops, College of Agriculture, Ludong University, Yantai, 264025, China.
Jie HanCenter for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050022, China.
Jiajia LiuCenter for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050022, China.
Xilan ZhangCenter for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050022, China.
Liqiang SongCenter for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050022, China.
Jun JiCenter for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050022, China.
Xigang LiuCenter for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050022, China.
Hongqing LingState Key Laboratory of Plant Cell and Chromosome Engineering, Chinese Academy of Sciences, Beijing, 100101, China.
Yiping TongState Key Laboratory of Plant Cell and Chromosome Engineering, Chinese Academy of Sciences, Beijing, 100101, China.
Fa CuiGenetic Improvement Centre of Agricultural and Forest Crops, College of Agriculture, Ludong University, Yantai, 264025, China. facui@sjziam.ac.cn.
Tao WangChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China. wangtao@cib.ac.cn.
Junming LiCenter for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050022, China. ljm@sjziam.ac.cn.
Chinese Academy of Sciences · CNLudong University · CN

Funding

China Agriculture Research System CARS-03Hebei Provincial Science and Technology Research and Development Project 16226320DShandong Provincial Science Foundation for Outstanding Youth ZR2017JL017the National Key Research and Development Program of China 2016YFD0100706the National Natural Science Foundation of China 31601809West Light Foundation of the Chinese Academy of Sciences 2016XBZG_XBQNXZ_B_002
6 · The paper itself

Abstract

key messageQTL for a wheat ideotype root system and its plasticity to nitrogen deficiency were characterized. Root system architecture-related traits (RRTs) and their plasticity to nitrogen availability are important for nitrogen acquisition and yield formation in wheat (Triticum aestivum L.). In this study, quantitative trait loci (QTL) analysis was conducted under different nitrogen conditions, using the seedlings of 188 recombinant inbred lines derived from a cross between Kenong 9204 and Jing 411. Fifty-three QTL for seven RRTs and fourteen QTL for the plasticity of these RRTs to nitrogen deficiency were detected. Thirty of these QTL were mapped in nine clusters on chromosomes 2B, 2D, 3A, 3D, 6B, 6D, 7A and 7B. Six of these nine clusters were also colocated with loci for nitrogen use efficiency (NUE)-related traits (NRTs). Among them, three QTL clusters (C2B, C6D and C7B) were highlighted, considering that they individually harbored three stable robust QTL (i.e., QMrl-2B.1, QdRs-6D and QMrl-7B). C2B and C7B stably contributed to the optimal root system, and C6D greatly affected the plasticity of RRTs in response to nitrogen deficiency. However, strong artificial selection was only observed for C7B in 574 derivatives of Kenong 9204. Covariance analysis identified QMrl-7B as the major contributor in C7B that affected the investigated NRTs in mature plants. Phenotypic analysis indicated that thousand kernel weight might represent a "concomitant" above-ground trait of the "hidden" RRTs controlled by C7B, which are used for breeding selection. Dissecting these QTL regions with potential breeding value will ultimately facilitate the selection of donor lines with both high yield and NUE in wheat breeding programs.

Indexed as

Quantitative Trait LociNitrogenPhenotypePlant BreedingPlant RootsSeedlingsTriticumNitrogen

Identifiers

PMID30255337
OpenAlexW2893681791

What OpenQuestion holds

Textmetadata
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.