Evidence map›Paper›PMID 39683080›Full record

ArticlePlants (Basel, Switzerland)2024

Application of Image-Based Phenotyping for QTL Identification of Tiller Angle in Rice (

Yoon-Hee Jang, Song Lim Kim, Jeongho Baek, Hongseok Lee, Chaewon Lee, Inchan Choi, Nyunhee Kim, Tae-Ho Kim, Ye-Ji Lee, Hyeonso Ji and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

11 authors.

Yoon-Hee JangDepartment of Agricultural Biotechnology, Gene Engineering Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Republic of Korea.ORCID 0000-0002-6282-9557
Song Lim KimDepartment of Agricultural Biotechnology, Gene Engineering Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Republic of Korea.
Jeongho BaekDepartment of Agricultural Biotechnology, Gene Engineering Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Republic of Korea.ORCID 0009-0007-5961-0697
Hongseok LeeDepartment of Southern Area Crop Science, Crop Production Technology Research Division, National Institute of Crop Science, Rural Development Administration, Milyang 50424, Republic of Korea.
Chaewon LeeDepartment of Central Area Crop Science, Crop Cultivation & Environment Research Division, National Institute of Crop Science, Rural Development Administration, Suwon 16613, Republic of Korea.ORCID 0009-0002-2815-4995
Inchan ChoiDepartment of Agricultural Engineering, Division of Smart Farm Development, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Republic of Korea.
Nyunhee KimDepartment of Agricultural Biotechnology, Gene Engineering Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Republic of Korea.ORCID 0009-0008-4973-4538
Tae-Ho KimDepartment of Agricultural Biotechnology, Genomics Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Republic of Korea.
Ye-Ji LeeDepartment of Central Area Crop Science, Crop Cultivation & Environment Research Division, National Institute of Crop Science, Rural Development Administration, Suwon 16613, Republic of Korea.
Hyeonso JiDepartment of Agricultural Biotechnology, Gene Engineering Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Republic of Korea.
Kyung-Hwan KimDepartment of Agricultural Biotechnology, Gene Engineering Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Republic of Korea.

Funding

Rural Development Administration PJ01246801
6 · The paper itself

Abstract

Rice tiller angle is a key agronomic trait that regulates plant architecture and plays a critical role in determining rice yield. Given that tiller angle is regulated by multiple genes, it is important to identify quantitative trait loci (QTL) associated with tiller angle. Recently, with the advancement of imaging technology for plant phenotyping, it has become possible to quickly and accurately measure agronomic traits of breeding populations. In this study, we extracted tiller angle and various image-based parameters from Red-Green-Blue (RGB) images of a recombinant inbred line (RIL) population derived from a cross between Milyang23 (

Indexed as

parameterphenotypingquantitative trait loci (QTL)Red-Green-Blue (RGB)ricetiller angle

Identifiers

PMID39683080
PMCPMC11644284

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Registered trials

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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.