Evidence map›Paper›PMID 31555888›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2019

Characterization and fine mapping of qkrnw4, a major QTL controlling kernel row number in maize.

Ningning Nie, Xiaoyu Ding, Lin Chen, Xun Wu, Yixin An, Chunhui Li, Yanchun Song, Dengfeng Zhang, Zhizhai Liu, Tianyu Wang and 3 more

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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Plants (Basel, Switzerland) · 2026
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  3. Plants (Basel, Switzerland) · 2025
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  4. Review
  5. Article
  6. Article
  7. Article
  8. Identification of a candidate gene underlying qHKW3, a QTL for hundred-kernel weight in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  9. Genetic Architecture of Grain Yield-Related Traits in Sorghum and Maize.International journal of molecular sciences · 2022
    Review
  10. Article
  11. 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

13 authors at 3 institutions in 1 country.

Ningning NieInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Xiaoyu DingInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Lin ChenInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Xun WuInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yixin AnInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Chunhui LiInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yanchun SongInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Dengfeng ZhangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Zhizhai LiuCollege of Agronomy and Biotechnology, Southwest University, Chongqing, 400715, China.
Tianyu WangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yu LiInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yong-Xiang LiInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. liyongxiang@caas.cn.
Yunsu ShiInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. shiyunsu@caas.cn.
Chinese Academy of Agricultural Sciences · CNInstitute of Crop Sciences · CNSouthwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageA major QTL controlling kernel row number, qkrnw4, was identified by combining linkage analysis and association mapping. Within qkrnw4, on the basis of its expression and bioinformatics analysis, Zm00001d052910 was supposed to be the candidate gene for kernel row number. Kernel row number (KRN) is an important yield-related trait that affects kernel number in maize. Understanding the genetic basis of KRN is important for increasing maize yields. In the present study, by the use of a near-isogenic line (NIL) that has a B73 background and that consistently displays a low KRN across environments, qkrnw4, a major quantitative trait locus (QTL) associated with KRN within a yield trait-related QTL hotspot in bin 4.08, was finely mapped to an ~ 33-kb interval. Regional association analysis of a nested association mapping population comprising 5000 recombinant inbred lines revealed Zm00001d052910, which encodes a protein with an unknown function, as the important candidate gene responsible for qkrnw4. Different expression levels of this candidate gene in immature ears were detected between the NIL and its recurrent parent. Moreover, the expression of several auxin-related genes was consistent with that of the candidate gene. Furthermore, the potential associations of this candidate gene with well-known inflorescence-related genes were discussed. The results of this study provide important information for the genetic elucidation of KRN variation in maize.

Indexed as

Quantitative Trait LociChromosome MappingGenetic LinkagePhenotypeSeedsZea mays

Identifiers

PMID31555888
OpenAlexW2979604311

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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.