Evidence map›Paper›PMID 37476172›Full record

ArticleFrontiers in plant science2023

Random regression for modeling soybean plant response to irrigation changes using time-series multispectral data.

Kengo Sakurai, Yusuke Toda, Kosuke Hamazaki, Yoshihiro Ohmori, Yuji Yamasaki, Hirokazu Takahashi, Hideki Takanashi, Mai Tsuda, Hisashi Tsujimoto, Akito Kaga and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Comparative analysis of genomic prediction approaches for multiple time-resolved traits in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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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 5 institutions in 1 country.

Kengo SakuraiGraduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, Japan.
Yusuke TodaGraduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, Japan.
Kosuke HamazakiGraduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, Japan.
Yoshihiro OhmoriGraduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, Japan.
Yuji YamasakiArid Land Research Center, Tottori University, Tottori, Japan.
Hirokazu TakahashiGraduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan.
Hideki TakanashiGraduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, Japan.
Mai TsudaFaculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Japan.
Hisashi TsujimotoArid Land Research Center, Tottori University, Tottori, Japan.
Akito KagaSoybean and Field Crop Applied Genomics Research Unit, Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Japan.
Mikio NakazonoGraduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan.
Toru FujiwaraGraduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, Japan.
Hiroyoshi IwataGraduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, Japan.
The University of Tokyo · JPNagoya University · JPTottori University · JPNational Agriculture and Food Research Organization · JPUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant response to drought is an important yield-related trait under abiotic stress, but the method for measuring and modeling plant responses in a time series has not been fully established. The objective of this study was to develop a method to measure and model plant response to irrigation changes using time-series multispectral (MS) data. We evaluated 178 soybean (

Indexed as

drought stressGlycine max (L.) Merr.irrigation changemultispectral (MS)plant responserandom regression model (RRM)single environmental trialtime-series

Identifiers

PMID37476172
PMCPMC10354427
OpenAlexW4383218441

What OpenQuestion holds

Textmetadata
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.