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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Leaf wetness duration estimation and its influence on a soybean rust warning system

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Autor(es):
Beruski, Gustavo Castilho [1] ; Gleason, Mark Lawrence [2] ; Sentelhas, Paulo Cesar [1] ; Pereira, Andre Belmont [3]
Número total de Autores: 4
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, ESALQ, Dept Biosyst Engn, Piracicaba - Brazil
[2] Iowa State Univ, Dept Plant Pathol & Microbiol, Ames, IA - USA
[3] Univ Estadual Ponta Grossa, Dept Soil Sci & Agr Engn, Ponta Grossa - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: AUSTRALASIAN PLANT PATHOLOGY; v. 48, n. 4, p. 395-408, JUL 2019.
Citações Web of Science: 2
Resumo

A limitation for widespread implementation of Asian soybean rust (ASR) warning system is the scarcity of leaf wetness duration (LWD) data. The objective of this study was to assess the feasibility of using LWD estimated by different empirical methods as input data for an ASR-warning system. The study was carried out with data from field experiments conducted in Ponta Grossa, Parana State, Campo Verde and Pedra Preta, both in Mato Grosso State, Brazil, throughout the 2014-15 and 2015-16 seasons. The estimated LWD values were used as input in an ASR-warning system. More reliable estimations of LWD were obtained using the Number ofHours with Relative Humidity above 90% (NHRH90%). The use of estimated LWD resulted in disease overestimation in Ponta Grossa, underestimation in Pedra Preta and moments of under and overestimation in Campo Verde. Analyzing the ASR-warning system with the more conservative threshold, five sprays per season were recommended for all sites and the mean fractions of correct estimates (1) in Ponta Grossa were higher (1=0.876) than those obtained in Pedra Preta (1=0.632) and Campo Verde (1=0.662). Otherwise, for the less conservative spray threshold, a reduction of one spray was observed in Ponta Grossa (1=0.912) when compared to Pedra Preta (1=0.826) and Campo Verde (1=0.767), where five sprays were still recommended. Thus, LWD estimated by NHRH90% has enough accuracy and precision for being used as input in the ASR-warning system in the most traditional soybean regions of Brazil. (AU)

Processo FAPESP: 16/06764-0 - Estimativa da duração do período de molhamento foliar e influência sobre sistema de alerta fitossanitário para a ferrugem asiática da soja
Beneficiário:Gustavo Castilho Beruski
Linha de fomento: Bolsas no Exterior - Estágio de Pesquisa - Doutorado
Processo FAPESP: 14/05677-1 - Sistemas de alerta fitossanitário para o manejo racional da ferrugem asiática da soja: desenvolvimento e aplicação nos estados de São Paulo, Paraná e Mato Grosso
Beneficiário:Gustavo Castilho Beruski
Linha de fomento: Bolsas no Brasil - Doutorado