Evidence map›Paper›PMID 36589123›Full record

ArticleFrontiers in plant science2022

Genetic basis of maize kernel protein content revealed by high-density bin mapping using recombinant inbred lines.

Xin Lu, Zhiqiang Zhou, Yunhe Wang, Ruiqi Wang, Zhuanfang Hao, Mingshun Li, Degui Zhang, Hongjun Yong, Jienan Han, Zhenhua Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

13 authors at 3 institutions in 1 country.

Xin LuInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Zhiqiang ZhouInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Yunhe WangInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Ruiqi WangCollege of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, China.
Zhuanfang HaoInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Mingshun LiInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Degui ZhangInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Hongjun YongInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Jienan HanInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Zhenhua WangCollege of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, China.
Jianfeng WengInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Yu ZhouCollege of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, China.
Xinhai LiInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Institute of Crop Sciences · CNChinese Academy of Agricultural Sciences · CNNortheast Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maize with a high kernel protein content (PC) is desirable for human food and livestock fodder. However, improvements in its PC have been hampered by a lack of desirable molecular markers. To identify quantitative trait loci (QTL) and candidate genes for kernel PC, we employed a genotyping-by-sequencing strategy to construct a high-resolution linkage map with 6,433 bin markers for 275 recombinant inbred lines (RILs) derived from a high-PC female Ji846 and low-PC male Ye3189. The total genetic distance covered by the linkage map was 2180.93 cM, and the average distance between adjacent markers was 0.32 cM, with a physical distance of approximately 0.37 Mb. Using this linkage map, 11 QTLs affecting kernel PC were identified, including

Indexed as

genotyping by sequencinghigh resolution linkage mapmaizeprotein contentquantitative trait loci

Identifiers

PMID36589123
PMCPMC9798238
OpenAlexW4312225071

What OpenQuestion holds

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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.