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Hoogenboom, G
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Authors
Maktabi, S
Vellidis, G
Hoogenboom, G
Boote, K
Pilcon, C
Fountain, J
Sysskind, M
Kukal, S
Vellidis, G
Maktabi, S
Boote, K
Hoogenboom, G
Lacerda, L
Pilcon, C
Shrestha, S
Wiggins, R
Topics
Decision Support Systems
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
Type
Oral
Year
2024
2026
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1. Predicting the Spatial Distribution of Aflatoxin Hotspots in Peanut Fields Using DSSAT CSM-CROPGRO-PEANUT-AFLATOXIN

Aflatoxin contamination in peanuts (Arachis hypogaea L.) is a persistent concern due to its detrimental effects on both profitability and public health. Several plant stress-inducing factors, including high soil temperatures and low soil moisture, have been associated with aflatoxin contamination levels. Understanding the correlation between stress-inducing factors and contamination levels is essential for implementing effective management strategies. This study uses the DSSAT CSM-CROPGRO-Peanut-Aflatoxin... S. Maktabi, G. Vellidis, G. Hoogenboom, K. Boote, C. Pilcon, J. Fountain, M. Sysskind, S. Kukal

2. A Decision Support Tool for Developing Aflatoxin Risk Maps in Peanut Fields

Aspergillus flavus (A. flavus) is a soil fungus that contaminates preharvest peanuts (Arachis hypogea) with the carcinogenic secondary metabolite aflatoxin. Because aflatoxin can cause serious illness or death at low concentrations (μg kg-1 to mg kg-1), its presence in foods and feeds is strictly regulated by food safety agencies around the world. Based on previous research by the authors, a hypothesis was developed that aflatoxin contamination... G. Vellidis, S. Maktabi, K. Boote, G. Hoogenboom, L. Lacerda, C. Pilcon, S. Shrestha, R. Wiggins