Evidence map›Paper›PMID 26719743›Full record

ArticleBreeding science2015

Genome-wide association mapping focusing on a rice population derived from rice breeding programs in a region.

Kenji Fujino, Mari Obara, Toshiaki Shimizu, Kanako O Koyanagi, Tomohito Ikegaya

Abstract read
In one paragraph

Article in Breeding science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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  20. DivergentFrontiers in plant science · 2018
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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

5 authors.

Kenji FujinoNARO Hokkaido Agricultural Research Center, National Agricultural Research Organization , Sapporo, Hokkaido 062-8555 , Japan.
Mari ObaraNARO Hokkaido Agricultural Research Center, National Agricultural Research Organization , Sapporo, Hokkaido 062-8555 , Japan.
Toshiaki ShimizuLaboratory of Genome Sciences, Graduate School of Information Science and Technology, Hokkaido University , Sapporo, Hokkaido 060-0814 , Japan.
Kanako O KoyanagiLaboratory of Genome Sciences, Graduate School of Information Science and Technology, Hokkaido University , Sapporo, Hokkaido 060-0814 , Japan.
Tomohito IkegayaNARO Hokkaido Agricultural Research Center, National Agricultural Research Organization , Sapporo, Hokkaido 062-8555 , Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant breeding programs in local regions may generate genetic variations that are desirable to local populations and shape adaptability during the establishment of local populations. To elucidate genetic bases for this process, we proposed a new approach for identifying the genetic bases for the traits improved during rice breeding programs; association mapping focusing on a local population. In the present study, we performed association mapping focusing on a local rice population, consisting of 63 varieties, in Hokkaido, the northernmost region of Japan and one of the northern limits of rice cultivation worldwide. Six and seventeen QTLs were identified for heading date and low temperature germinability, respectively. Of these, 13 were novel QTLs in this population and 10 corresponded to the QTLs previously reported based on QTL mapping. The identification of QTLs for traits in local populations including elite varieties may lead to a better understanding of the genetic bases of elite traits. This is of direct relevance for plant breeding programs in local regions.

Indexed as

genome-wide association mappinglocal populationOryza sativa L.plant breeding programsrice

Identifiers

PMID26719743
PMCPMC4671701

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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.