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Front. Plant Sci. | doi: 10.3389/fpls.2019.00552

Application of Remote Sensing for Phenotyping Tar Spot Complex Resistance in Maize

  • 1International Maize and Wheat Improvement Center (Mexico), Mexico
  • 2Global Maize Program, The International Maize and Wheat Improvement Center (CIMMYT), Kenya

Tar spot complex (TSC), caused by at least two fungal pathogens, Phyllachora maydis and Monographella maydis, is one of the major foliar diseases of maize in Central and South America. P. maydis was also detected in the United States of America in 2015 and since then the pathogen has spread in the maize growing regions of the country. Although remote sensing (RS) techniques are increasingly being used for plant phenotyping, they have not been applied to phenotyping TSC resistance in maize. In this study, several multispectral vegetation indices and thermal imaging of maize plots under disease pressure and disease-free conditions were tested using an unmanned aerial vehicle over two crop seasons. A strong relationship between grain yield, a vegetative index (MCARI2) and canopy temperature was observed under disease pressure. A strong relationship was also observed between the area under the disease progress curve of TSC and three vegetative indices (RDVI, MCARI1, and MCARI2). In addition, we demonstrated that TSC could cause up to 58% yield loss in the most susceptible maize hybrids. Our results suggest that the RS techniques tested in this study could be used for high throughput phenotyping of TSC resistance and potentially for other foliar diseases of maize. This may help reduce the cost and time required for the development of improved maize germplasm. Challenges and opportunities in the use of remote sensing technologies for disease resistance phenotyping are discussed.

Keywords: corn, UAV, Disease control, Plant Pathogen, New disease

Received: 22 Oct 2018; Accepted: 11 Apr 2019.

Edited by:

Sebastien C. Carpentier, KULeuven, Belgium

Reviewed by:

Bernardo Ordas, Spanish National Research Council (CSIC), Spain
Johannes Fahrentrapp, Zurich University of Applied Sciences, Switzerland  

Copyright: © 2019 Loladze, Rodrigues Junior, Toledo, San Vicente, Gerard and Boddupalli. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Alexander Loladze, International Maize and Wheat Improvement Center (Mexico), Texcoco, Mexico, a.loladze@cgiar.org