Evidence map›Paper›PMID 39451153›Full record

ArticleJournal of integrative plant biology2024

How have breeders adapted rice flowering to the growing region?

Asako Kobayashi, Mao Suganami, Hideki Yoshida, Yoichi Morinaka, Syuto Watanabe, Yoshie Machida, Genki Chaya, Fumihiro Nakaoka, Nobuhito Sato, Kotaro Miura and 1 more

Abstract read
In one paragraph

Article in Journal of integrative plant biology, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. How have breeders adapted rice flowering to the growing region?Journal of integrative plant biology · 2024
    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.

Asako KobayashiRice Breeding Group, Fukui Agricultural Experiment Station, Fukui, 918-8215, Japan.ORCID http://orcid.org/0009-0001-3266-7542
Mao SuganamiFaculty of Food and Agricultural Sciences, Institute of Fermentation Sciences, Fukushima University, Fukushima, 960-1296, Japan.ORCID http://orcid.org/0000-0002-8976-8328
Hideki YoshidaFaculty of Food and Agricultural Sciences, Institute of Fermentation Sciences, Fukushima University, Fukushima, 960-1296, Japan.ORCID http://orcid.org/0000-0002-7016-6108
Yoichi MorinakaFaculty of Bioscience and Biotechnology, Fukui Prefectural University, Fukui, 910-1195, Japan.ORCID http://orcid.org/0000-0001-9398-5459
Syuto WatanabeRice Breeding Group, Fukui Agricultural Experiment Station, Fukui, 918-8215, Japan.
Yoshie MachidaRice Breeding Group, Fukui Agricultural Experiment Station, Fukui, 918-8215, Japan.
Genki ChayaRice Breeding Group, Fukui Agricultural Experiment Station, Fukui, 918-8215, Japan.
Fumihiro NakaokaRice Breeding Group, Fukui Agricultural Experiment Station, Fukui, 918-8215, Japan.
Nobuhito SatoRice Breeding Group, Fukui Agricultural Experiment Station, Fukui, 918-8215, Japan.
Kotaro MiuraFaculty of Bioscience and Biotechnology, Fukui Prefectural University, Fukui, 910-1195, Japan.ORCID http://orcid.org/0000-0002-9341-0994
Makoto MatsuokaFaculty of Food and Agricultural Sciences, Institute of Fermentation Sciences, Fukushima University, Fukushima, 960-1296, Japan.ORCID http://orcid.org/0000-0002-8167-7886

Funding

commissioned research fund provided by F-REI JPFR24020105Japan Society for the Promotion of Science 24K01886Japan Society for the Promotion of Science JP21K14758Japan Society for the Promotion of Science JP21K15120Japan Society for the Promotion of Science JP22H02294Japan Society for the Promotion of Science JP24H02257Moonshot Research and Development Program JPJ009237
6 · The paper itself

Abstract

Flowering time is a crucial rice trait that influences its adaptation to various environments, cropping schedules, and agronomic characteristics. Rice breeders have exploited spontaneous mutations in heading date genes to regulate the flowering time. In the present study, we investigated how breeders in Fukui Prefecture regulated days to heading while developing promising rice varieties. Genome-wide association studies (GWAS) identified Hd1, Hd16, and Hd18 as the major genes controlling days to heading in the population. However, we suspected that this highly bred population might exhibit genomic stratification, which could lead to spurious or false correlations in the GWAS. Thus, we also conducted correlation and partial correlation analyses, which uncovered another key heading date gene, Hd17, that GWAS failed to detect because of its linkage disequilibrium with the major effect gene Hd16. Examination of haplotype frequencies across different breeding periods revealed that the early-heading Hd16 (Hd16(E)) and late-heading Hd17 (Hd17(L)) were increasingly co-selected in the Hd1 functional population. Varieties carrying this Hd16(E)/Hd17(L) combination exhibited days to heading in the range of 70-80, which corresponds to the peak temperature and sunshine period and is also optimal for grain quality and yield components in the Fukui environment. The present study highlights that it is imperative to remain vigilant for Type I (false positives) and Type II (false negatives) errors when performing GWAS on highly bred populations and to implement appropriate countermeasures by accounting for gene-by-gene interactions established through the breeding process. We also discuss the effectiveness of Hd16(E), which is not used outside Japan for subtle days to heading control but is widely used in Japan at certain latitudes.

Indexed as

FlowersGenome-Wide Association StudyOryzaAdaptation, PhysiologicalGenes, PlantHaplotypesLinkage DisequilibriumPlant BreedingbreedingfloweringGWASheading datepartial correlation analysisrice

Identifiers

PMID39451153
PMCPMC11622534

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.