Weather based warning systems for bean angular-leaf-spot and anthracnose

Data available in the literature were used to develop a warning system for bean angular leaf spot and anthracnose, caused by Phaeoisariopsis griseola and Colletotrichum lindemuthianum, respectively. The model is based on favorable environmental conditions for the infectious process such as continuou...

Full description

Bibliographic Details
Main Authors: Erlei Melo Reis, Marta Maria Casa Blum
Format: Article
Language:English
Published: Grupo Paulista de Fitopatologia 2012-09-01
Series:Summa Phytopathologica
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-54052012000300008&lng=en&tlng=en
id doaj-6acf2c56774e4d15a6529fd19035c0d6
record_format Article
spelling doaj-6acf2c56774e4d15a6529fd19035c0d62020-11-24T21:17:15ZengGrupo Paulista de FitopatologiaSumma Phytopathologica0100-54052012-09-0138322823110.1590/S0100-54052012000300008S0100-54052012000300008Weather based warning systems for bean angular-leaf-spot and anthracnoseErlei Melo Reis0Marta Maria Casa Blum1Universidade de Passo FundoUniversidade Regional Integrada do Alto do Uruguai e das MissõesData available in the literature were used to develop a warning system for bean angular leaf spot and anthracnose, caused by Phaeoisariopsis griseola and Colletotrichum lindemuthianum, respectively. The model is based on favorable environmental conditions for the infectious process such as continuous leaf wetness duration and mean air temperature during this subphase of the pathogen-host relationship cycle. Equations published by DALLA PRIA (1977) showing the interactions of those two factors on the disease severity were used. Excell spreadsheet was used to calculate the leaf wetness period needed to cause different infection probabilities at different temperature ranges. These data were employed to elaborate critical period tables used to program a computerized electronic device that records leaf wetness duration and mean temperature and automatically shows the daily disease severity value (DDSV) for each disease. The model should be validated in field experiments under natural infection for which the daily disease severity sum (DDSS) should be identified as a criterion to indicate the beginning and the interval of fungicide applications to control both diseases.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-54052012000300008&lng=en&tlng=enColletotrichum lindemuthianumPhaeoisariopsis griseolaPhaseolus vulgarisprevisão de doenças
collection DOAJ
language English
format Article
sources DOAJ
author Erlei Melo Reis
Marta Maria Casa Blum
spellingShingle Erlei Melo Reis
Marta Maria Casa Blum
Weather based warning systems for bean angular-leaf-spot and anthracnose
Summa Phytopathologica
Colletotrichum lindemuthianum
Phaeoisariopsis griseola
Phaseolus vulgaris
previsão de doenças
author_facet Erlei Melo Reis
Marta Maria Casa Blum
author_sort Erlei Melo Reis
title Weather based warning systems for bean angular-leaf-spot and anthracnose
title_short Weather based warning systems for bean angular-leaf-spot and anthracnose
title_full Weather based warning systems for bean angular-leaf-spot and anthracnose
title_fullStr Weather based warning systems for bean angular-leaf-spot and anthracnose
title_full_unstemmed Weather based warning systems for bean angular-leaf-spot and anthracnose
title_sort weather based warning systems for bean angular-leaf-spot and anthracnose
publisher Grupo Paulista de Fitopatologia
series Summa Phytopathologica
issn 0100-5405
publishDate 2012-09-01
description Data available in the literature were used to develop a warning system for bean angular leaf spot and anthracnose, caused by Phaeoisariopsis griseola and Colletotrichum lindemuthianum, respectively. The model is based on favorable environmental conditions for the infectious process such as continuous leaf wetness duration and mean air temperature during this subphase of the pathogen-host relationship cycle. Equations published by DALLA PRIA (1977) showing the interactions of those two factors on the disease severity were used. Excell spreadsheet was used to calculate the leaf wetness period needed to cause different infection probabilities at different temperature ranges. These data were employed to elaborate critical period tables used to program a computerized electronic device that records leaf wetness duration and mean temperature and automatically shows the daily disease severity value (DDSV) for each disease. The model should be validated in field experiments under natural infection for which the daily disease severity sum (DDSS) should be identified as a criterion to indicate the beginning and the interval of fungicide applications to control both diseases.
topic Colletotrichum lindemuthianum
Phaeoisariopsis griseola
Phaseolus vulgaris
previsão de doenças
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-54052012000300008&lng=en&tlng=en
work_keys_str_mv AT erleimeloreis weatherbasedwarningsystemsforbeanangularleafspotandanthracnose
AT martamariacasablum weatherbasedwarningsystemsforbeanangularleafspotandanthracnose
_version_ 1726013283954065408