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...
Gespeichert in:
Veröffentlicht in: | Annual Report of The Kansai Plant Protection Society 2016/05/31, Vol.58, pp.95-97 |
---|---|
Hauptverfasser: | , , , , , , , |
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 |