Evidence map›Paper›PMID 31988632›Full record

ArticleBreeding science2019

Genetic variation of blast (

Yoshimichi Fukuta, Tomohisa Suzuki, Seiji Yanagihara, Mitsuhiro Obara, Asami Tomita, Ryo Ohsawa, Catherine Wanjiku Machungo, Nagao Hayashi, Daigo Makihara

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

Article in Breeding science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Genetic Variation of Blast (Plants (Basel, Switzerland) · 2023
    Article
  3. Genetic variation of rice (Breeding science · 2020
    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

9 authors at 5 institutions in 1 country.

Yoshimichi FukutaTropical Agricultural Research Front, Japan International Research Center for Agricultural Sciences, 1091 Kawarabaru, Maesato, Ishigaki, Okinawa 907-0002, Japan.
Tomohisa SuzukiFaculty of Life and Environmental Science, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba, Ibaraki 305-8572, Japan.
Seiji YanagiharaJapan International Research Center for Agricultural Sciences, 1-1 Owashi, Tsukuba, Ibaraki 305-8686, Japan.
Mitsuhiro ObaraJapan International Research Center for Agricultural Sciences, 1-1 Owashi, Tsukuba, Ibaraki 305-8686, Japan.
Asami TomitaTropical Agricultural Research Front, Japan International Research Center for Agricultural Sciences, 1091 Kawarabaru, Maesato, Ishigaki, Okinawa 907-0002, Japan.
Ryo OhsawaFaculty of Life and Environmental Science, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba, Ibaraki 305-8572, Japan.
Catherine Wanjiku MachungoAhero Irrigation Research Station, National Irrigation Board, Ahero, Kisumu, Kenya.
Nagao HayashiInstitute of Agrobiological Sciences, National Agricultural and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305- 8602, Japan.
Daigo MakiharaInternational Center for Research and Education in Agriculture, Nagoya University, Chikusa, Nagoya, Aichi 464-8601, Japan.
Japan International Research Center for Agricultural Sciences · JPUniversity of Tsukuba · JPInstitute of Agrobiological Sciences · JPNagoya University · JPOkayama University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A total of 47 rice accessions collected from Kenya were investigated the genetic variations and classified into two cluster groups, A and B, by polymorphism data of 65 simple sequence repeat (SSR) markers. Clusters A and B corresponded to Japonica and Indica Groups, respectively. The number of Japonica Group accessions was limited in comparison with those of the Indica Group. Based on their patterns of reaction to standard differential blast isolates (SDBIs), these accessions and 57 control cultivars including differential varieties and several accessions harboring partial resistance genes were classified again into three cluster groups: Ia (high resistance), Ib (intermediate resistance) and II (susceptible). The rice accessions from Kenya were classified only into groups Ia and Ib. The accessions from Kenya were finally classified into three categories, A-Ia, B-Ia and B-Ib, based on the two classifications of polymorphism of SSR markers and resistance. The Indica Group accessions had wider genetic variation for blast resistance than did the Japonica Group accessions. The three leading cultivars (Basmati 217, Basmati 370 and ITA 310) categorized into Cluster group Ia were susceptible to some SDBIs from Kenya. The genetic variation for blast resistance in Kenya was demonstrated as the first report using SDBIs.

Indexed as

blast (Pyricularia oryzae Cavara)genetic variationKenyaresistancerice (Oryza sativa L.)

Identifiers

PMID31988632
PMCPMC6977452
OpenAlexW2987995033

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.