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Sooty blotch and flyspeck: Evaluatio...

Tatalovic, Nenad.

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Sooty blotch and flyspeck: Evaluation of remotely estimated weather inputs to disease-warning systems and delineation of fungal taxa closely grouping with Mycosphaerella madeirae.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Sooty blotch and flyspeck: Evaluation of remotely estimated weather inputs to disease-warning systems and delineation of fungal taxa closely grouping with Mycosphaerella madeirae./
Author:	Tatalovic, Nenad.
Description:	86 p.
Notes:	Source: Masters Abstracts International, Volume: 47-05, page: 2699.
Contained By:	Masters Abstracts International47-05.
Subject:	Agriculture, Horticulture. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1464395
ISBN:	9781109144185

Sooty blotch and flyspeck: Evaluation of remotely estimated weather inputs to disease-warning systems and delineation of fungal taxa closely grouping with Mycosphaerella madeirae.
Tatalovic, Nenad.

Sooty blotch and flyspeck: Evaluation of remotely estimated weather inputs to disease-warning systems and delineation of fungal taxa closely grouping with Mycosphaerella madeirae. - 86 p.

Source: Masters Abstracts International, Volume: 47-05, page: 2699.

Thesis (M.S.)--Iowa State University, 2009.

Disease-warning systems are management tools that use information about the pathogen, host and/or environment to advise growers when to efficiently take management actions, such as fungicide sprays. This study examined usage of alternative weather information as inputs to disease-warning systems for control of sooty blotch and flyspeck (SBFS) of apple and watermelon anthracnose, as well as the morphology of isolates of the SBFS fungi that grouped with the Mycosphaerellaceae.

ISBN: 9781109144185Subjects--Topical Terms:

1017832
Agriculture, Horticulture.

Sooty blotch and flyspeck: Evaluation of remotely estimated weather inputs to disease-warning systems and delineation of fungal taxa closely grouping with Mycosphaerella madeirae.
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020 $a 9781109144185
035 $a (UMI)AAI1464395
035 $a AAI1464395
040 $a UMI $c UMI
100 1 $a Tatalovic, Nenad. $3 1676934
245 1 0 $a Sooty blotch and flyspeck: Evaluation of remotely estimated weather inputs to disease-warning systems and delineation of fungal taxa closely grouping with Mycosphaerella madeirae.
300 $a 86 p.
500 $a Source: Masters Abstracts International, Volume: 47-05, page: 2699.
500 $a Adviser: Mark L. Gleason.
502 $a Thesis (M.S.)--Iowa State University, 2009.
520 $a Disease-warning systems are management tools that use information about the pathogen, host and/or environment to advise growers when to efficiently take management actions, such as fungicide sprays. This study examined usage of alternative weather information as inputs to disease-warning systems for control of sooty blotch and flyspeck (SBFS) of apple and watermelon anthracnose, as well as the morphology of isolates of the SBFS fungi that grouped with the Mycosphaerellaceae.
520 $a The first objective was to evaluate the effectiveness of alternative sources of weather data as inputs to disease-warning systems for sooty blotch and flyspeck (SBFS) on apple and watermelon anthracnose caused by Colletotrichum orbiculare (Berk & Mont.) Arx (1957) on watermelon in replicated field trials conducted in Iowa during 2006 to 2008. Leaf wetness duration (LWD) data estimated by commercial site-specific technology, or by model-based corrections of these estimates, were compared with measurements made by on-site sensors. In both warning systems, using remotely estimated and model-corrected LWD data resulted in disease levels that were similar or equal to those observed when using on-site measurements. Our study provides evidence that remotely estimated LWD data and model-corrected versions of these data may be used successfully in implementation of warning systems for SBFS on apple and anthracnose on watermelon.
520 $a The second objective was to examine the morphology and rDNA sequences of 124 isolates of SBFS fungi from Germany and the U.S. Parsimony analysis of the internal transcribed spacer (ITS) region of the rDNA grouped isolates into 14 clades. Molecular evidence coupled with morphology of representative isolates from each clade on preserved apple peels and on media indicated that there were 10 SBFS species among the isolates. Five putative species were placed in the anamorph genus Pseudocercosporella, and two putative species were placed in the anamorph genus Ramichloridium. Three putative species designated as sterile mycelia did not produce conidia. Parsimony analysis of the large subunit (LSU) region of rDNA placed all 10 putative species near Mycosphaerella madeirae with bootstrap support of 66%. The genus Mycosphaerella consists of several thousand species; our findings help to clarify taxonomic placement of these anamorph species of SBFS within the family Mycosphaerellaceae.
590 $a School code: 0097.
650 4 $a Agriculture, Horticulture. $3 1017832
650 4 $a Agriculture, Plant Pathology. $3 1028950
690 $a 0471
690 $a 0480
710 2 $a Iowa State University. $b Plant Pathology. $3 1272632
773 0 $t Masters Abstracts International $g 47-05.
790 1 0 $a Gleason, Mark L., $e advisor
790 1 0 $a Harrington, Thomas C. $e committee member
790 1 0 $a Taylor, Elwynn S. $e committee member
790 1 0 $a Domoto, Paul A. $e committee member
790 $a 0097
791 $a M.S.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1464395