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Environmental Factors Influencing Stem Rot Development in Peanut: Predictors and Action Thresholds for Disease Management.
Sanjel, Santosh; Colee, James; Barocco, Rebecca L; Dufault, Nicholas S; Tillman, Barry L; Punja, Zamir K; Seepaul, Ramdeo; Small, Ian M.
Afiliação
  • Sanjel S; North Florida Research and Education Center, University of Florida, Quincy, FL, U.S.A.
  • Colee J; Plant Pathology Department, University of Florida, Gainesville, FL, U.S.A.
  • Barocco RL; IFAS Statistical Consulting Unit, University of Florida, Gainesville, FL, U.S.A.
  • Dufault NS; North Florida Research and Education Center, University of Florida, Quincy, FL, U.S.A.
  • Tillman BL; Plant Pathology Department, University of Florida, Gainesville, FL, U.S.A.
  • Punja ZK; Plant Pathology Department, University of Florida, Gainesville, FL, U.S.A.
  • Seepaul R; North Florida Research and Education Center, University of Florida, Marianna, FL, U.S.A.
  • Small IM; Agronomy Department, University of Florida, Gainesville, FL, U.S.A.
Phytopathology ; 114(2): 393-404, 2024 Feb.
Article em En | MEDLINE | ID: mdl-37581435
ABSTRACT
Peanuts grown in tropical, subtropical, and temperate regions are susceptible to stem rot, which is a soilborne disease caused by Athelia rolfsii. Due to the lack of reliable environmental-based scheduling recommendations, stem rot control relies heavily on fungicides that are applied at predetermined intervals. We conducted inoculated field experiments for six site-years in North Florida to examine the relationship between germination of A. rolfsii sclerotia the inoculum, stem rot symptom development in the peanut crop, and environmental factors such as soil temperature (ST), soil moisture, relative humidity (RH), precipitation, evapotranspiration, and solar radiation. Window-pane analysis with hourly and daily environmental data for 5- to 28-day periods before each disease assessment were evaluated to select model predictors using correlation analysis, regularized regression, and exhaustive feature selection. Our results indicated that within-canopy ST (at 0.05 m belowground) and RH (at 0.15 m aboveground) were the most important environmental variables that influenced the progress of mycelial activity in susceptible peanut crops. Decision tree analysis resulted in an easy-to-interpret one-variable model (adjusted R2 = 0.51, Akaike information criterion [AIC] = 324, root average square error [RASE] = 14.21) or two-variable model (adjusted R2 = 0.61, AIC = 306, RASE = 10.95) that provided an action threshold for various disease scenarios based on number of hours of canopy RH above 90% and ST between 25 and 35°C in a 14-day window. Coupling an existing preseason risk index for stem rot, such as Peanut Rx, with the environmentally based predictors identified in this study would be a logical next step to optimize stem rot management. [Formula see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY 4.0 International license.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Arachis / Doenças das Plantas Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Phytopathology Assunto da revista: BOTANICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Arachis / Doenças das Plantas Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Phytopathology Assunto da revista: BOTANICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos