Development of a disease infection risk prediction system for anthracnose (<i>Colletotrichum scovillei</i>) in sweet pepper
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- Kanto Takeshi
- Hyogo Prefectural Technology Center for Agriculture, Forestry and Fisheries
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- Uchihashi Kaichi
- Hyogo Prefectural Technology Center for Agriculture, Forestry and Fisheries
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- Saito Takamitsu
- Hyogo Prefectural Technology Center for Agriculture, Forestry and Fisheries
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- Takegawa Masahiro
- Hyogo Prefectural Technology Center for Agriculture, Forestry and Fisheries
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- Michishita Kiyohito
- Hyogo Prefectural Technology Center for Agriculture, Forestry and Fisheries
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- Nakamura Katsuya
- Hyogo Prefectural Technology Center for Agriculture, Forestry and Fisheries
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- Yamazaki Kenichi
- Asuzac Inc.
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- Shiokawa Yukari
- Asuzac Inc.
Bibliographic Information
- Other Title
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- ピーマン炭疽病（<i>Colletotrichum scovillei</i>）の感染リスク予測システムの開発
- ピーマン炭疽病(Colletotrichum scovillei)の感染リスク予測システムの開発
- ピーマンタンソビョウ(Colletotrichum scovillei)ノ カンセン リスク ヨソク システム ノ カイハツ
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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.
Journal
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- Annual Report of The Kansai Plant Protection Society
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Annual Report of The Kansai Plant Protection Society 58 (0), 95-97, 2016
The Kansai Plant Protection Society
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Keywords
Details 詳細情報について
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- CRID
- 1390001206324695424
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- NII Article ID
- 130005261558
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- NII Book ID
- AN0004725X
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- ISSN
- 18836291
- 03871002
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- NDL BIB ID
- 027449071
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed
