Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-27T08:39:54.027Z Has data issue: false hasContentIssue false
  • English
  • Français

Determining Corn Aflatoxin Risk within Counties in Southern Georgia, USA using Remotely Sensed Data

Published online by Cambridge University Press:  01 June 2017

R. Kerry ,
B. R. Ingram ,
F. Navarro ,
B. V. Ortiz  and
B. T. Scully
R. Kerry*
Affiliation:
Department of Geography, Brigham Young University, UT, USA
B. R. Ingram
Affiliation:
Facultad de Ingeniería, Universidad de Talca, Curicó, Chile
F. Navarro
Affiliation:
Facultad de Ingeniería, Universidad de Talca, Curicó, Chile
B. V. Ortiz
Affiliation:
Agronomy and Soils Department, Auburn University, AL, USA
B. T. Scully
Affiliation:
USDA-ARS, Tifton, GA, USA
*
*E-mail: ruth_kerry@byu.edu
Get access

Abstract

Aflatoxin contamination of food can cause liver cancer in humans and animals. Identification of aflatoxin risk areas allows farmers to adapt management strategies before planting, during growth and at harvest. Aflatoxin contamination is driven by high temperatures and drought conditions and crops grown on light textured soil in the south eastern USA are at particular risk. Aflatoxin assessment is expensive so a role of extension services in precision farming is to identify the areas most at risk of contamination so that farmers can adapt irrigation or planting strategies. This paper extends a county-level risk factors approach developed by Kerry et al. (2017) by investigating the use of NDVI and thermal IR data to indicate drought stress and thus aflatoxin contamination risk at the sub-county level.

Keywords

AflatoxinNDVIThermal infra-redSoilGeostatistics
Type
Information and Decision Support Systems
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 640 - 644
Copyright
© The Animal Consortium 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Anselin, L 1995. Local Indicators of Spatial Association – LISA. Geographical Analysis 27, 93–114.Google Scholar
Barrett, JR 2005. Liver Cancer and Aflatoxin: New Information from the Kenyan Outbreak. Environmental Health Perspectives 113 (12), A837–A838.Google Scholar
Damianidis, D, Ortiz, BV, Windham, G, Scully, B and Woli, PB 2015. Predicting pre-harvest aflatoxin corn contamination with a drought index. In: J.V. Stafford (Ed.), Precision Agriculture 2015 – Proceedings of the 10th European Conference on Precision Agriculture (10 ECPA), Tel Aviv, Israel.Google Scholar
Hatfield, JL and Prueger, JH 2010. Value of Using Different Vegetative Indices to Quantify Agricultural Crop Characteristics at Different Growth Stages under Varying Management Practices. Remote Sensing 2, 562–578.CrossRefGoogle Scholar
Jones, HG, Serraj, R, Loveys, BR, Xiong, L, Wheaton, A and Price, A 2009. Thermal Infra-red imaging of crop canopies for the remote diagnosis and quantification of plant responses to water stress in the field. Functional Plant Biology 36, 978–989.Google Scholar
Kerry, R, Ortiz, B, Ingram, BR and Scully, B 2017. A Spatio–Temporal Investigation of Risk Factors for Aflatoxin Contamination of Corn in Southern Georgia, USA using Geostatistical Methods. Crop Protection 94, 144–158.Google Scholar
Liu, Y and Wu, F 2010. Global Burden of Aflatoxin-Induced Hepatocellular Carcinoma: A Risk Assessment. Environmental Health Perspectives 118 (6), 818–824.Google Scholar
Natural Resources Conservation Service (NRCS) 2006. Digital General Soil Map of U.S., U.S. Department of Agriculture, Natural Resources Conservation Service, Fort Worth, Texas. Online_Linkage: URL:http://SoilDataMart.nrcs.usda.gov/ Retrieved September 2012.Google Scholar
Palumbo, JD, O’Keeffe, TL, Kattan, A, Abbas, HK and Johnson, BJ 2010. Inhibition of Aspergillus flavus in Soil by Antagonistic Pseudomonas Strains Reduces the Potential for Airborne Spore Dispersal. Phytopathology 100 (6), 532–538.Google Scholar
Papadoyanis, N 1990. HPLC in Clinical Chemistry I. Marcel Dekker, NY. pp 488.Google Scholar
Patriarca, A, Medina, A, Pinto, VF and Magan, N 2014. Temperature and water stress impacts on growth and production of altertoxin-II by strains of Alternaria tenuissima from Argentinean wheat. World Mycotoxin Journal 7 (3), 329–334.Google Scholar
Payne, GA 1992. Aflatoxin in maize. Critical Reviews in Plant Science 10 (5), 423–440.Google Scholar
Salvacion, A, Ortiz, BV, Scully, B, Wilson, DM, Hoogenboom, G and Lee, D 2011. Effect of Rainfall and Maximum Temperature on Corn Aflatoxin in the Southeastern U. S Coastal Plain. In: Proceedings of the Climate Information for Managing Risks, Orlando, Florida, May 24-27, 2011.Google Scholar
Sepúlveda-Reyes, D, Ingram, B, Bardeen, M, Zúñiga, M, Ortega-Farías, S and Poblete-Echeverría, C 2016. Selecting Canopy Zones and Thresholding Approaches to Assess Grapevine Water Status by Using Aerial and Ground-Based Thermal Imaging. Remote Sensing 8, 822.Google Scholar
Wang, R, Cherkauer, K and Bowling, L 2016. Corn Response to Climate Stress Detected with Satellite-Based NDVI Time Series. Remote Sensing 8, 269.Google Scholar
Widstrom, NW, Forster, MJ, Martin, WK and Wilson, DM 1996. Agronomic performance in the southeastern United States of maize hybrids containing tropical germplasm. Maydica 41 (1), 59–63.Google Scholar