Evidence map›Paper›PMID 42079772›Full record

ArticleBreeding science2025

Good-eating-quality QTLs detected in two breeding populations by genome-wide association mapping increase eating quality of the Japanese rice cultivar 'Koshihikari'.

Yoshinobu Takeuchi, Toshio Yamamoto, Jun-Ichi Yonemaru, Yoko Takemoto-Kuno, Shuichi Fukuoka, Makoto Kuroki, Akitoshi Goto, Kazuki Matsubara, Hiroyuki Sato, Hideyuki Hirabayashi and 4 more

Abstract read
In one paragraph

Article in Breeding science, 2025. 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
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Yoshinobu TakeuchiInstitute of Crop Science, National Agricultural and Food Research Organization (NARO), 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan.
Toshio YamamotoInstitute of Crop Science, National Agricultural and Food Research Organization (NARO), 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan.
Jun-Ichi YonemaruInstitute of Crop Science, National Agricultural and Food Research Organization (NARO), 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan.
Yoko Takemoto-KunoInstitute of Crop Science, National Agricultural and Food Research Organization (NARO), 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan.
Shuichi FukuokaInstitute of Crop Science, National Agricultural and Food Research Organization (NARO), 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan.
Makoto KurokiInstitute of Crop Science, National Agricultural and Food Research Organization (NARO), 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan.
Akitoshi GotoInstitute of Crop Science, National Agricultural and Food Research Organization (NARO), 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan.
Kazuki MatsubaraInstitute of Crop Science, National Agricultural and Food Research Organization (NARO), 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan.
Hiroyuki SatoInstitute of Crop Science, National Agricultural and Food Research Organization (NARO), 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan.
Hideyuki HirabayashiInstitute of Crop Science, National Agricultural and Food Research Organization (NARO), 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan.
Nobuya KobayashiInstitute of Crop Science, National Agricultural and Food Research Organization (NARO), 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan.
Masayuki YamaguchiInstitute of Crop Science, National Agricultural and Food Research Organization (NARO), 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan.
Takuro IshiiInstitute of Crop Science, National Agricultural and Food Research Organization (NARO), 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan.
Ikuo AndoInstitute of Crop Science, National Agricultural and Food Research Organization (NARO), 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify QTLs controlling the eating quality of 'Akidawara', 'Satojiman', and 'Ikuhikari' rice, we performed a genome-wide association mapping analysis using two breeding populations in 2013 and 2014 derived from crosses between these and another parental line. Through sensory tests by a trained panel, we evaluated five components of the eating quality of cooked rice. Fifty-eight QTLs for these components were detected in breeding lines in 2013 (seven regions of chromosome [chr.] 1, 4, and 11) and 2014 (ten of chr. 1, 2, 4, 8, 9, and 11). The Akidawara, Satojiman, or Ikuhikari alleles at these QTLs increased eating quality. QTLs on the short arm of chr. 4, the middle of the long arm of chr. 4, the distal end of the long arm of chr. 4, and the short arm of chr. 11, were identified in both years. The genetic effects of the Satojiman alleles at QTLs on the distal end of the long arm of chr. 4 and on the short arm of chr. 11 were confirmed by analysis of two chromosome segment substitution lines containing a Satojiman segment in the 'Koshihikari' background in 2016 and 2017, in which the Satojiman alleles increased the level of eating quality of Koshihikari.

Indexed as

chromosome segment substitution lineeating qualitygenome-wide association mappingOryza sativa L.quantitative trait locus

Identifiers

PMID42079772
PMCPMC13129571

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.