Temperature-Dependent Modeling and Spatial Predictions for Identifying Geographical Areas in Brazil Suitable for the Use of <i>Cordyceps javanica</i> in Whitefly Control
Lalguard C99 WP, based on the <i>Cordyceps javanica</i> BRM 27666 strain, is registered in Brazil for whitefly control. Spatial prediction is crucial for optimizing its field use and efficacy. In this study, the optimal temperature for mycelial growth and conidial production of <i>...
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MDPI AG
2025-02-01
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| author | Heloiza A. Boaventura Lidiane A. Queirós José Francisco A. Silva Tarryn A. Goble Kelly Pazolini Allan F. Marciano Eliane D. Quintela |
| author_facet | Heloiza A. Boaventura Lidiane A. Queirós José Francisco A. Silva Tarryn A. Goble Kelly Pazolini Allan F. Marciano Eliane D. Quintela |
| author_sort | Heloiza A. Boaventura |
| collection | DOAJ |
| description | Lalguard C99 WP, based on the <i>Cordyceps javanica</i> BRM 27666 strain, is registered in Brazil for whitefly control. Spatial prediction is crucial for optimizing its field use and efficacy. In this study, the optimal temperature for mycelial growth and conidial production of <i>C. javanica is</i> 25–30 °C, with no growth at 33–35 °C. The highest nymphal mortality occurred at 25 and 30 °C, showing lower LT<sub>50</sub> values at 30 °C. Mycelial growth was similar at 15, 20, 25, 30, and 35 °C when the fungus was exposed for 6 h and then transferred to a 27.4 °C environment; however, growth was slower at 35 °C with daily 6 h exposure alternating over 18 h at room temperature (mean of 28.5 °C). When the second instar whitefly nymphs were exposed for 6 h or 6 h daily at 15, 20, 25, 30, and 35 °C, followed by 7 days at fluctuating temperatures (mean of 28.4–30.2 °C), nymphal mortality was similar across temperatures. Although other abiotic factors (solar radiation, humidity, rainfall, etc.) must be considered for fungal efficacy, spatial predictions based on fluctuating temperatures indicated that <i>C. javanica</i> is suitable for use throughout Brazil, though its performance varied at constant temperatures in different locations. |
| format | Article |
| id | doaj-art-180e1d86bfcc4884883ec9045ede90eb |
| institution | DOAJ |
| issn | 2309-608X |
| language | English |
| publishDate | 2025-02-01 |
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| record_format | Article |
| series | Journal of Fungi |
| spelling | doaj-art-180e1d86bfcc4884883ec9045ede90eb2025-08-20T02:45:00ZengMDPI AGJournal of Fungi2309-608X2025-02-0111212510.3390/jof11020125Temperature-Dependent Modeling and Spatial Predictions for Identifying Geographical Areas in Brazil Suitable for the Use of <i>Cordyceps javanica</i> in Whitefly ControlHeloiza A. Boaventura0Lidiane A. Queirós1José Francisco A. Silva2Tarryn A. Goble3Kelly Pazolini4Allan F. Marciano5Eliane D. Quintela6Escola de Agronomia, Universidade Federal de Goiás, Goiânia 74690-900, BrazilEscola de Agronomia, Universidade Federal de Goiás, Goiânia 74690-900, BrazilEmbrapa Arroz e Feijão, Santo Antônio de Goiás 75375-000, BrazilLallemand Plant Care, Patos de Minas 38706-420, BrazilLallemand Plant Care, Patos de Minas 38706-420, BrazilLallemand Plant Care, Patos de Minas 38706-420, BrazilEscola de Agronomia, Universidade Federal de Goiás, Goiânia 74690-900, BrazilLalguard C99 WP, based on the <i>Cordyceps javanica</i> BRM 27666 strain, is registered in Brazil for whitefly control. Spatial prediction is crucial for optimizing its field use and efficacy. In this study, the optimal temperature for mycelial growth and conidial production of <i>C. javanica is</i> 25–30 °C, with no growth at 33–35 °C. The highest nymphal mortality occurred at 25 and 30 °C, showing lower LT<sub>50</sub> values at 30 °C. Mycelial growth was similar at 15, 20, 25, 30, and 35 °C when the fungus was exposed for 6 h and then transferred to a 27.4 °C environment; however, growth was slower at 35 °C with daily 6 h exposure alternating over 18 h at room temperature (mean of 28.5 °C). When the second instar whitefly nymphs were exposed for 6 h or 6 h daily at 15, 20, 25, 30, and 35 °C, followed by 7 days at fluctuating temperatures (mean of 28.4–30.2 °C), nymphal mortality was similar across temperatures. Although other abiotic factors (solar radiation, humidity, rainfall, etc.) must be considered for fungal efficacy, spatial predictions based on fluctuating temperatures indicated that <i>C. javanica</i> is suitable for use throughout Brazil, though its performance varied at constant temperatures in different locations.https://www.mdpi.com/2309-608X/11/2/125<i>Bemisia tabaci</i>entomopathogenic fungimathematical modelscontrolIPM |
| spellingShingle | Heloiza A. Boaventura Lidiane A. Queirós José Francisco A. Silva Tarryn A. Goble Kelly Pazolini Allan F. Marciano Eliane D. Quintela Temperature-Dependent Modeling and Spatial Predictions for Identifying Geographical Areas in Brazil Suitable for the Use of <i>Cordyceps javanica</i> in Whitefly Control Journal of Fungi <i>Bemisia tabaci</i> entomopathogenic fungi mathematical models control IPM |
| title | Temperature-Dependent Modeling and Spatial Predictions for Identifying Geographical Areas in Brazil Suitable for the Use of <i>Cordyceps javanica</i> in Whitefly Control |
| title_full | Temperature-Dependent Modeling and Spatial Predictions for Identifying Geographical Areas in Brazil Suitable for the Use of <i>Cordyceps javanica</i> in Whitefly Control |
| title_fullStr | Temperature-Dependent Modeling and Spatial Predictions for Identifying Geographical Areas in Brazil Suitable for the Use of <i>Cordyceps javanica</i> in Whitefly Control |
| title_full_unstemmed | Temperature-Dependent Modeling and Spatial Predictions for Identifying Geographical Areas in Brazil Suitable for the Use of <i>Cordyceps javanica</i> in Whitefly Control |
| title_short | Temperature-Dependent Modeling and Spatial Predictions for Identifying Geographical Areas in Brazil Suitable for the Use of <i>Cordyceps javanica</i> in Whitefly Control |
| title_sort | temperature dependent modeling and spatial predictions for identifying geographical areas in brazil suitable for the use of i cordyceps javanica i in whitefly control |
| topic | <i>Bemisia tabaci</i> entomopathogenic fungi mathematical models control IPM |
| url | https://www.mdpi.com/2309-608X/11/2/125 |
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