Development of a disease infection risk prediction system for anthracnose (Colletotrichum scovillei) in sweet pepper

We developed the Disease Infection Risk Prediction System for anthracnose in sweet pepper. After comparison of the results over a period of two consecutive years; based on the combination of the temperature and the duration of the wetness period; in relation to the ratio number of diseased fruit, it...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Annual Report of The Kansai Plant Protection Society 2016/05/31, Vol.58, pp.95-97
Hauptverfasser: Kanto, Takeshi, Uchihashi, Kaichi, Saito, Takamitsu, Takegawa, Masahiro, Michishita, Kiyohito, Nakamura, Katsuya, Yamazaki, Kenichi, Shiokawa, Yukari
Format: Artikel
Sprache:eng ; jpn
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 97
container_issue
container_start_page 95
container_title Annual Report of The Kansai Plant Protection Society
container_volume 58
creator Kanto, Takeshi
Uchihashi, Kaichi
Saito, Takamitsu
Takegawa, Masahiro
Michishita, Kiyohito
Nakamura, Katsuya
Yamazaki, Kenichi
Shiokawa, Yukari
description We developed the Disease Infection Risk Prediction System for anthracnose in sweet pepper. After comparison of the results over a period of two consecutive years; based on the combination of the temperature and the duration of the wetness period; in relation to the ratio number of diseased fruit, it is obvious that the prediction of this index is highly reliable.
doi_str_mv 10.4165/kapps.58.95
format Article
fullrecord <record><control><sourceid>jstage_cross</sourceid><recordid>TN_cdi_crossref_primary_10_4165_kapps_58_95</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>article_kapps_58_0_58_95_article_char_en</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1285-e170d4aa0db00c6e250b0e1918f5fc61693224000ced7eae64cf9d5d1df53893</originalsourceid><addsrcrecordid>eNpFkEtLAzEUhYMoWGpX_oEsFZmazEzSZCNIfULBTfdDmtzY2JlJSGKl_97Rkbq6j_Odw-UidEnJvKac3e5UCGnOxFyyEzShQlQFLyU9RRNSiUVBCSnP0Swltxk6QUpO5ATlB9hD60MHfcbeYoWNS6ASYNdb0Nn5HkeXdjhEMG6c0yFl6LD1Eas-b6PSvR8MV0vftpB9jk5vPzuctN-7YeOuhyycvgAyDhACxAt0ZlWbYPZXp2j99LhevhSrt-fX5f2q0LQUrAC6IKZWipjhYs2hZGRDgEoqLLOaUy6rsqzJoIFZgAJeaysNM9RYVglZTdHNGKujTymCbUJ0nYqHhpLm52XN78saJhrJBvpupD9SVu9wZFXMTrfwz5LRcBT0VsUG-uobBHh56g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Development of a disease infection risk prediction system for anthracnose (Colletotrichum scovillei) in sweet pepper</title><source>J-STAGE (Free - Japanese)</source><source>EZB Electronic Journals Library</source><creator>Kanto, Takeshi ; Uchihashi, Kaichi ; Saito, Takamitsu ; Takegawa, Masahiro ; Michishita, Kiyohito ; Nakamura, Katsuya ; Yamazaki, Kenichi ; Shiokawa, Yukari</creator><creatorcontrib>Kanto, Takeshi ; Uchihashi, Kaichi ; Saito, Takamitsu ; Takegawa, Masahiro ; Michishita, Kiyohito ; Nakamura, Katsuya ; Yamazaki, Kenichi ; Shiokawa, Yukari</creatorcontrib><description>We developed the Disease Infection Risk Prediction System for anthracnose in sweet pepper. After comparison of the results over a period of two consecutive years; based on the combination of the temperature and the duration of the wetness period; in relation to the ratio number of diseased fruit, it is obvious that the prediction of this index is highly reliable.</description><identifier>ISSN: 0387-1002</identifier><identifier>EISSN: 1883-6291</identifier><identifier>DOI: 10.4165/kapps.58.95</identifier><language>eng ; jpn</language><publisher>The Kansai Plant Protection Society</publisher><ispartof>Annual Report of The Kansai Plant Protection Society, 2016/05/31, Vol.58, pp.95-97</ispartof><rights>2016 The Kansai Plant Protection Society</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1285-e170d4aa0db00c6e250b0e1918f5fc61693224000ced7eae64cf9d5d1df53893</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1883,27924,27925</link.rule.ids></links><search><creatorcontrib>Kanto, Takeshi</creatorcontrib><creatorcontrib>Uchihashi, Kaichi</creatorcontrib><creatorcontrib>Saito, Takamitsu</creatorcontrib><creatorcontrib>Takegawa, Masahiro</creatorcontrib><creatorcontrib>Michishita, Kiyohito</creatorcontrib><creatorcontrib>Nakamura, Katsuya</creatorcontrib><creatorcontrib>Yamazaki, Kenichi</creatorcontrib><creatorcontrib>Shiokawa, Yukari</creatorcontrib><title>Development of a disease infection risk prediction system for anthracnose (Colletotrichum scovillei) in sweet pepper</title><title>Annual Report of The Kansai Plant Protection Society</title><addtitle>Ann. Rept. Kansai Pl. Prot.</addtitle><description>We developed the Disease Infection Risk Prediction System for anthracnose in sweet pepper. After comparison of the results over a period of two consecutive years; based on the combination of the temperature and the duration of the wetness period; in relation to the ratio number of diseased fruit, it is obvious that the prediction of this index is highly reliable.</description><issn>0387-1002</issn><issn>1883-6291</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNpFkEtLAzEUhYMoWGpX_oEsFZmazEzSZCNIfULBTfdDmtzY2JlJSGKl_97Rkbq6j_Odw-UidEnJvKac3e5UCGnOxFyyEzShQlQFLyU9RRNSiUVBCSnP0Swltxk6QUpO5ATlB9hD60MHfcbeYoWNS6ASYNdb0Nn5HkeXdjhEMG6c0yFl6LD1Eas-b6PSvR8MV0vftpB9jk5vPzuctN-7YeOuhyycvgAyDhACxAt0ZlWbYPZXp2j99LhevhSrt-fX5f2q0LQUrAC6IKZWipjhYs2hZGRDgEoqLLOaUy6rsqzJoIFZgAJeaysNM9RYVglZTdHNGKujTymCbUJ0nYqHhpLm52XN78saJhrJBvpupD9SVu9wZFXMTrfwz5LRcBT0VsUG-uobBHh56g</recordid><startdate>20160531</startdate><enddate>20160531</enddate><creator>Kanto, Takeshi</creator><creator>Uchihashi, Kaichi</creator><creator>Saito, Takamitsu</creator><creator>Takegawa, Masahiro</creator><creator>Michishita, Kiyohito</creator><creator>Nakamura, Katsuya</creator><creator>Yamazaki, Kenichi</creator><creator>Shiokawa, Yukari</creator><general>The Kansai Plant Protection Society</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20160531</creationdate><title>Development of a disease infection risk prediction system for anthracnose (Colletotrichum scovillei) in sweet pepper</title><author>Kanto, Takeshi ; Uchihashi, Kaichi ; Saito, Takamitsu ; Takegawa, Masahiro ; Michishita, Kiyohito ; Nakamura, Katsuya ; Yamazaki, Kenichi ; Shiokawa, Yukari</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1285-e170d4aa0db00c6e250b0e1918f5fc61693224000ced7eae64cf9d5d1df53893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng ; jpn</language><creationdate>2016</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Kanto, Takeshi</creatorcontrib><creatorcontrib>Uchihashi, Kaichi</creatorcontrib><creatorcontrib>Saito, Takamitsu</creatorcontrib><creatorcontrib>Takegawa, Masahiro</creatorcontrib><creatorcontrib>Michishita, Kiyohito</creatorcontrib><creatorcontrib>Nakamura, Katsuya</creatorcontrib><creatorcontrib>Yamazaki, Kenichi</creatorcontrib><creatorcontrib>Shiokawa, Yukari</creatorcontrib><collection>CrossRef</collection><jtitle>Annual Report of The Kansai Plant Protection Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kanto, Takeshi</au><au>Uchihashi, Kaichi</au><au>Saito, Takamitsu</au><au>Takegawa, Masahiro</au><au>Michishita, Kiyohito</au><au>Nakamura, Katsuya</au><au>Yamazaki, Kenichi</au><au>Shiokawa, Yukari</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of a disease infection risk prediction system for anthracnose (Colletotrichum scovillei) in sweet pepper</atitle><jtitle>Annual Report of The Kansai Plant Protection Society</jtitle><addtitle>Ann. Rept. Kansai Pl. Prot.</addtitle><date>2016-05-31</date><risdate>2016</risdate><volume>58</volume><spage>95</spage><epage>97</epage><pages>95-97</pages><issn>0387-1002</issn><eissn>1883-6291</eissn><abstract>We developed the Disease Infection Risk Prediction System for anthracnose in sweet pepper. After comparison of the results over a period of two consecutive years; based on the combination of the temperature and the duration of the wetness period; in relation to the ratio number of diseased fruit, it is obvious that the prediction of this index is highly reliable.</abstract><pub>The Kansai Plant Protection Society</pub><doi>10.4165/kapps.58.95</doi><tpages>3</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0387-1002
ispartof Annual Report of The Kansai Plant Protection Society, 2016/05/31, Vol.58, pp.95-97
issn 0387-1002
1883-6291
language eng ; jpn
recordid cdi_crossref_primary_10_4165_kapps_58_95
source J-STAGE (Free - Japanese); EZB Electronic Journals Library
title Development of a disease infection risk prediction system for anthracnose (Colletotrichum scovillei) in sweet pepper
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T18%3A11%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstage_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Development%20of%20a%20disease%20infection%20risk%20prediction%20system%20for%20anthracnose%20(Colletotrichum%20scovillei)%20in%20sweet%20pepper&rft.jtitle=Annual%20Report%20of%20The%20Kansai%20Plant%20Protection%20Society&rft.au=Kanto,%20Takeshi&rft.date=2016-05-31&rft.volume=58&rft.spage=95&rft.epage=97&rft.pages=95-97&rft.issn=0387-1002&rft.eissn=1883-6291&rft_id=info:doi/10.4165/kapps.58.95&rft_dat=%3Cjstage_cross%3Earticle_kapps_58_0_58_95_article_char_en%3C/jstage_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true