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18 July 2024 Degree-day models for predicting adult Delia platura (Diptera: Anthomyiidae) spring flight and first emergence in New York State
Paola Olaya-Arenas, Chloe Yi-Luo Cho, Daniel Olmstead, Anna DiPaola, Shea Crowther, Janice Degni, Jeff Miller, Aaron Gabriel, Mike Stanyard, Marion Zuefle, Jodi Letham, Katja Poveda
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Abstract

The seedcorn maggot, Delia platura (Meigen), is a pest affecting many crops, including corn. The early spring emergence of adults and belowground seed damage by maggots leave no room for rescue treatments during the short growing season in New York State. Degree-day (DD) models play a crucial role in predicting insect emergence and adult peak activity and are essential for effective pest management. The current D. platura DD model was launched on the Network for Environment and Weather Applications (NEWA) in 2022, using existing scientific literature from other North American regions. The NEWA model predicted adult D. platura first emergence at an average of 471 (39°F) DD in 2022. To gain an accurate and precise understanding of D. platura adult spring emergence and activity, we used interpolated temperature data to calculate the DD for each specific location where adults were captured in the field. DD calculations were performed using the average method, setting a biofix on January 1st and a base temperature of 39°F. In 2023, overwintering adults emerged at an average of 68 DD, and in 2022, adult activity was registered at an average of 282 DD. Accurately predicting the emergence of D. platura could contribute to informing integrated pest management strategies that incorporate timing and cultural practices over chemical solutions to protect crops and the environment.

Paola Olaya-Arenas, Chloe Yi-Luo Cho, Daniel Olmstead, Anna DiPaola, Shea Crowther, Janice Degni, Jeff Miller, Aaron Gabriel, Mike Stanyard, Marion Zuefle, Jodi Letham, and Katja Poveda "Degree-day models for predicting adult Delia platura (Diptera: Anthomyiidae) spring flight and first emergence in New York State," Journal of Economic Entomology 117(5), 2181-2185, (18 July 2024). https://doi.org/10.1093/jee/toae148
Received: 27 February 2024; Accepted: 25 June 2024; Published: 18 July 2024
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KEYWORDS
corn
degree-day model
emergence
New York state
predictive model
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