Environmental Factors Influencing Stem Rot Development in Peanut: Predictors and Action Thresholds for Disease Management

Author:

Sanjel Santosh12,Colee James3,Barocco Rebecca12,Dufault Nicholas S.4,Tillman Barry L.5,Punja Zamir K.6,Seepaul Ramdeo17,Small Ian Malcolm82

Affiliation:

1. University of Florida, North Florida Research & Education Center, Quincy, Florida, United States

2. University of Florida, Plant Pathology, Gainesville, Florida, United States;

3. University of Florida, IFAS Statistics, Gainesville, Florida, United States;

4. University of Florida, Plant Pathology, 1441 Fifield Hall, Gainesville, Florida, United States, 32611-0680;

5. University of Florida, Agronomy, Marianna, Florida, United States, ;

6. Simon Fraser University, 1763, Biological Sciences, Burnaby, British Columbia, Canada;

7. University of Florida, 3463, Department of Agronomy, Gainesville, Florida, United States;

8. University of Florida, North Florida Research & Education Center, Quincy, Florida, United States,

Abstract

Peanuts grown in tropical, subtropical, and temperate regions are susceptible to stem rot, which is a soil-borne 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, USA, 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 below ground) and RH (at 0.15 m above ground) 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 (Adj R2 0.51, AIC 324, RASE 14.21) or two-variable model (Adj. 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 25-35°C on 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.

Publisher

Scientific Societies

Subject

Plant Science,Agronomy and Crop Science

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