This document discusses developing a sampling plan for sugarcane aphid in sorghum. There is currently no efficient, user-friendly sampling system to determine sugarcane aphid density and evaluate if treatment thresholds have been met. The authors and collaborators from multiple states aim to characterize the seasonal distribution of sugarcane aphid within sorghum fields and plants. They will develop sequential and binomial sampling protocols, validate the protocols using natural infestations, and create a decision-making tool for sugarcane aphid management. The work is funded by a USDA NIFA grant.

1. DEVELOPING A SAMPLING PLAN FOR
SUGARCANE APHID IN SORGHUM
Jessica C. Pavlu1, Kris L. Giles1, Ali A. Zarrabi1,
Norman C. Elliott2 and Tom A. Royer1
1Department of Entomology and Plant Pathology, Stillwater, OK
2USDA ARS, Stillwater, OK
Oklahoma State
University EPP

2. FILLING THE GAP
 There is still no researched based, time
efficient, user-friendly sampling system of
SCA that determines density and rapidly
evaluates if the treatment threshold has
been met.
 Necessary for early detection and effective
management of this aphid.
 Can include information on beneficials and
allow for sustainable multifaceted management
approaches.
Smith, 2015

3. THE APPROACH
 Multi-state collaboration expanding the work
of Brewer et. al (2014)
 Oklahoma (Elliott, Giles, Zarrabi and Royer)
 Texas (Bowling and Knutson)
 Kansas (McCornack)
 Louisiana (Brown)
 Arkansas (Seiter)
Brewer et. al (2014)

4. THE APPROACH
 Characterize seasonal within field and within
plant distribution of SCA in sorghum.
 Develop sequential and binomial sampling
protocols for SCA in sorghum.
 Validate sampling protocol using natural
infestations.
 Use protocol to develop and deliver a
research-based, dynamic, user-friendly
decision making tool for SCA management.

5. FUNDING AND COLLABORATORS
 USDA National Institute of Food and Agriculture’s
Crop Protection and Pest Management Program
GRANT #11882019