Evidence map›Paper›PMID 27598344›Full record

ArticlePloS one2016

Effects of Varieties, Producing Areas, Ears, and Ear Positions of Single Maize Kernels on Near-Infrared Spectra for Identification and Traceability.

Dong An, Yongjin Cui, Xu Liu, Shiqiang Jia, Shuyun Zheng, Xiaoping Che, Zhe Liu, Xiaodong Zhang, Dehai Zhu, Shaoming Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Dong AnCollege of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.
Yongjin CuiCollege of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.
Xu LiuCollege of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.
Shiqiang JiaCollege of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.
Shuyun ZhengBeijing Kings Nower Seed S&T CO., LTD., Beijing, 100080, China.
Xiaoping CheBeijing Kings Nower Seed S&T CO., LTD., Beijing, 100080, China.
Zhe LiuCollege of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.
Xiaodong ZhangCollege of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.
Dehai ZhuCollege of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.
Shaoming LiCollege of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effects of varieties, producing areas, ears, and ear positions of maize on near-infrared (NIR) spectra were investigated to determine the factors causing the differences in NIR fingerprints of maize varieties. A total of 130 inbred lines were grown in two regions in China, and 12,350 kernel samples were analyzed through NIR spectroscopy. Spectral differences among varieties, producing areas, ears, and ear positions were determined and compared on the basis of pretreated spectra. The bands at 1300-1470, 1768-1949, 2010-2064, and 2235-2311 nm were mainly affected by the producing area. Band selection and principal component analysis were applied to improve the influence of variety on NIR spectra by processing the pretreated spectra. The degrees of the influence of varieties, producing areas, ears, and ear positions were calculated, and the percentages of the influence of varieties, producing areas, ears, and ear positions were 45.40%, 42.66%, 8.22%, and 3.72%, respectively. Therefore, genetic differences among maize inbred lines are the main factors accounted for NIR spectral differences. Producing area is a secondary factor. These results could provide a reference for researchers who authenticate varieties, perform geographical origin traceabilities, and conduct maize seed breeding.

Indexed as

BreedingChinaGeographyPrincipal Component AnalysisSeedsSpectroscopy, Near-InfraredZea mays

Identifiers

PMID27598344
PMCPMC5012708

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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.