MODEL OF POTENTIAL AREAS FOR THE ESTABLISHMENT OF HUANGLONGBING DISEASE IN THE STATE OF TABASCO
Background. Huanglongbing is a lethal disease for citrus, affecting all citrus species, causing young plants that become infected fail to produce and adult plants become unproductive for a period of two to five years. Objective. The objective of this study was to determine the potential areas for th...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universidad Autónoma de Yucatán
2021-08-01
|
| Series: | Tropical and Subtropical Agroecosystems |
| Subjects: | |
| Online Access: | https://www.revista.ccba.uady.mx/ojs/index.php/TSA/article/view/3511 |
| _version_ | 1819207500792070144 |
|---|---|
| author | Gladis Yanet Martinez Martinez Silvia del Carmen Ruiz Acosta Luis Alberto Olvera Vargas Rufo Sanchez Hernandez Adalberto Galindo Alcantara |
| author_facet | Gladis Yanet Martinez Martinez Silvia del Carmen Ruiz Acosta Luis Alberto Olvera Vargas Rufo Sanchez Hernandez Adalberto Galindo Alcantara |
| author_sort | Gladis Yanet Martinez Martinez |
| collection | DOAJ |
| description | Background. Huanglongbing is a lethal disease for citrus, affecting all citrus species, causing young plants that become infected fail to produce and adult plants become unproductive for a period of two to five years. Objective. The objective of this study was to determine the potential areas for the establishment of huanglongbing in Tabasco. Methodology. In order to achieve this objective, the model of maximum entropy (MaxEnt) was used, which is a general purpose machine learning method. For its validation, the Receiver Operating Characteristic (ROC) technique applied in presence-only distribution models was applied. To generate the model, 19 climatic variables taken from Worldclim were used, a soil variable taken from Jiménez et al., (2013) and 195 records of the presence of Candidatus Liberibacter asiaticus detected in plant material were used. Results. The results show that the municipalities of Huimanguillo and Balancán are the areas with the greatest potential distribution of the disease with values greater than 0.7. According to the area under the curve (AUC), the model has a high ability to predict correctly by presenting values of 0.936 in the training data. Implications. The present study could contribute to the planning of surveillance areas for the detection and control of huanglongbing disease. Conclusion. The model obtained is a good approximation of the potential presence of the disease in the state of Tabasco, giving clarity when choosing the surveillance areas for the pathogen and its vector. |
| first_indexed | 2024-12-23T05:24:29Z |
| format | Article |
| id | doaj.art-180199b4a2a14aac99aca8ef5a056a38 |
| institution | Directory Open Access Journal |
| issn | 1870-0462 |
| language | English |
| last_indexed | 2024-12-23T05:24:29Z |
| publishDate | 2021-08-01 |
| publisher | Universidad Autónoma de Yucatán |
| record_format | Article |
| series | Tropical and Subtropical Agroecosystems |
| spelling | doaj.art-180199b4a2a14aac99aca8ef5a056a382022-12-21T17:58:37ZengUniversidad Autónoma de YucatánTropical and Subtropical Agroecosystems1870-04622021-08-0124310.56369/tsaes.35111174MODEL OF POTENTIAL AREAS FOR THE ESTABLISHMENT OF HUANGLONGBING DISEASE IN THE STATE OF TABASCOGladis Yanet Martinez Martinez0Silvia del Carmen Ruiz Acosta1Luis Alberto Olvera Vargas2Rufo Sanchez Hernandez3Adalberto Galindo Alcantara4Programa de Doctorado División Académica de Ciencias Biológicas de la Universidad Juárez Autónoma de TabascoTecnológico Nacional de México; Instituto Tecnológico de la Zona OlmecaCátedra CONACyT adscrito a la Dirección Adjunta de Planeación Estratégica y al Laboratorio de Prospección Tecnológica para el Desarrollo Innovador de los Alimentos y la Alimentación (PROTEAA) del Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco, A.C. (CIATEJ).Universidad Juárez Autónoma de Tabasco División Académica de Ciencias AgropecuariasDivisión Académica de Ciencias Biológicas de la Universidad Juárez Autónoma de TabascoBackground. Huanglongbing is a lethal disease for citrus, affecting all citrus species, causing young plants that become infected fail to produce and adult plants become unproductive for a period of two to five years. Objective. The objective of this study was to determine the potential areas for the establishment of huanglongbing in Tabasco. Methodology. In order to achieve this objective, the model of maximum entropy (MaxEnt) was used, which is a general purpose machine learning method. For its validation, the Receiver Operating Characteristic (ROC) technique applied in presence-only distribution models was applied. To generate the model, 19 climatic variables taken from Worldclim were used, a soil variable taken from Jiménez et al., (2013) and 195 records of the presence of Candidatus Liberibacter asiaticus detected in plant material were used. Results. The results show that the municipalities of Huimanguillo and Balancán are the areas with the greatest potential distribution of the disease with values greater than 0.7. According to the area under the curve (AUC), the model has a high ability to predict correctly by presenting values of 0.936 in the training data. Implications. The present study could contribute to the planning of surveillance areas for the detection and control of huanglongbing disease. Conclusion. The model obtained is a good approximation of the potential presence of the disease in the state of Tabasco, giving clarity when choosing the surveillance areas for the pathogen and its vector.https://www.revista.ccba.uady.mx/ojs/index.php/TSA/article/view/3511análisis geoespacialfitopatologíahlbmaxentvariables climáticas |
| spellingShingle | Gladis Yanet Martinez Martinez Silvia del Carmen Ruiz Acosta Luis Alberto Olvera Vargas Rufo Sanchez Hernandez Adalberto Galindo Alcantara MODEL OF POTENTIAL AREAS FOR THE ESTABLISHMENT OF HUANGLONGBING DISEASE IN THE STATE OF TABASCO Tropical and Subtropical Agroecosystems análisis geoespacial fitopatología hlb maxent variables climáticas |
| title | MODEL OF POTENTIAL AREAS FOR THE ESTABLISHMENT OF HUANGLONGBING DISEASE IN THE STATE OF TABASCO |
| title_full | MODEL OF POTENTIAL AREAS FOR THE ESTABLISHMENT OF HUANGLONGBING DISEASE IN THE STATE OF TABASCO |
| title_fullStr | MODEL OF POTENTIAL AREAS FOR THE ESTABLISHMENT OF HUANGLONGBING DISEASE IN THE STATE OF TABASCO |
| title_full_unstemmed | MODEL OF POTENTIAL AREAS FOR THE ESTABLISHMENT OF HUANGLONGBING DISEASE IN THE STATE OF TABASCO |
| title_short | MODEL OF POTENTIAL AREAS FOR THE ESTABLISHMENT OF HUANGLONGBING DISEASE IN THE STATE OF TABASCO |
| title_sort | model of potential areas for the establishment of huanglongbing disease in the state of tabasco |
| topic | análisis geoespacial fitopatología hlb maxent variables climáticas |
| url | https://www.revista.ccba.uady.mx/ojs/index.php/TSA/article/view/3511 |
| work_keys_str_mv | AT gladisyanetmartinezmartinez modelofpotentialareasfortheestablishmentofhuanglongbingdiseaseinthestateoftabasco AT silviadelcarmenruizacosta modelofpotentialareasfortheestablishmentofhuanglongbingdiseaseinthestateoftabasco AT luisalbertoolveravargas modelofpotentialareasfortheestablishmentofhuanglongbingdiseaseinthestateoftabasco AT rufosanchezhernandez modelofpotentialareasfortheestablishmentofhuanglongbingdiseaseinthestateoftabasco AT adalbertogalindoalcantara modelofpotentialareasfortheestablishmentofhuanglongbingdiseaseinthestateoftabasco |