Spatial distribution and sequential sampling protocol for Spodoptera frugiperda (Lepidoptera: Noctuidae) on commercial maize fields in Sinaloa, Mexico.

Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae), is the most important pest on maize (Zea mays L.) crops in Mexico and can cause substantial economic losses if left unmanaged. Commonly, growers carry out some control strategies when observe damage caused by S. frugiperda in their crops without considering whether the level of damage is sufficient to warrant any action. Some authors suggest considering as reference a level damage of 20% or more. Nevertheless, the Sinaloa growers lack of a practical method to estimate such damage. Therefore, the objective of this research was to develop a sequential sampling method that can determine the most appropriate time to initiate a control strategy and that can be applied by the producers of Sinaloa, Mexico. Three trials were established during the 2019–2020 fall-winter planting cycle in the state of Sinaloa, Mexico in regions of the state where maize is commercially grown to evaluate six different sequential sampling methods. The results indicate the best option was a sequential sampling plan based on the Taylor method, performing the regression analysis with Log10, with a maximum of 50 sampling units per plot. [ABSTRACT FROM AUTHOR]

Copyright of International Journal of Tropical Insect Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)