ORIGINAL ARTICLE
Current and potential distributions of most important diseases affecting Hass avocado in Antioquia Colombia
1
Facultad de Ciencias Agrarias, Departamento de Agronomia, Universidad Nacional de Colombia, sede Bogota, Colombia
2
Biodiversity Institute, The University of Kansas, Kansas, United States
A - Research concept and design; B - Collection and/or assembly of data; C - Data analysis and interpretation; D - Writing the article; E - Critical revision of the article; F - Final approval of article
Submission date: 2018-11-18
Acceptance date: 2019-06-13
Online publication date: 2019-07-18
Corresponding author
Joaquín Guillermo Ramírez-Gil
Facultad de Ciencias Agrarias sede Bogotá, Universidad Nacional de Colombia, Carrera 30 No. 45-03 Edificio 500, 111321, Bogota, Colombia
Facultad de Ciencias Agrarias sede Bogotá, Universidad Nacional de Colombia, Carrera 30 No. 45-03 Edificio 500, 111321, Bogota, Colombia
Journal of Plant Protection Research 2019;59(2):214-228
KEYWORDS
TOPICS
ABSTRACT
Hass avocado cultivation in Colombia has grown rapidly in area in recent years. It is being
planted in marginal areas, which leads to low yields, and in many cases is related to diseases.
Ecological niche modeling (ENM) can offer a view of the potential geographic and
environmental distribution of diseases, and thus identify areas with suitable or unsuitable
conditions for their development. The aim of the study was to assess current and potential
distribution of the major diseases on Hass avocado in Colombia. Areas planted with Hass
avocado in Antioquia, Colombia were sampled for diseases including the following pathogens:
Phytophthora cinnamomi, Verticillium sp., Lasiodiplodia theobromae, Phytophthora
palmivora, Colletotrichum gloeosporioides sensu lato, Pestalotia sp., and Capnodium sp.,
and one disorder hypoxia-anoxia. These pathogens were selected based on their relevance
(incidence-severity) and capacity to cause damage in different tissues of avocado plants. Severity
and incidence of each disease were related to environmental information from vegetation
indices and topographic variables using maximum entropy modeling approaches
(MaxEnt). Models were calibrated only across areas sampled, and then transferred more
broadly to areas currently planted, and to potential zones for planting. Combinations of
best performance and low omission rates were the basis for model selection. Results show
that Hass avocado has been planted in areas highly conducive for many pathogens, particularly
for Phytophthora cinnamomi and hypoxia-anoxia disorder. Ecological niche modeling
approaches offer an alternative toolset for planning and making assessments that can be
incorporated into disease management plans.
CONFLICT OF INTEREST
The authors have declared that no conflict of interests exist.
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| eISSN: | 1899-007X |
| ISSN: | 1427-4345 |
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