Tag Archives: NEWA

NEWA in North Carolina – meet your coordinator

Doctor Mike ParkerDr. Mike Parker is an Associate Professor and the Tree Fruit Extension Specialist in the Department of Horticultural Science at North Carolina State University, Raleigh with an extension, research and teaching appointment. His extension responsibility is to support North Carolina Cooperative Extension field faculty and growers in the culture and management of tree fruit, primarily apples, peaches and pecans. This support is primarily accomplished through on-farm research and demonstrations, educational program development, publications, videos, and on-site consultation.  Dr. Parker is also the educational liaison with the commercial apple, peach and pecan grower groups.   Dr. Parker’s research focus is on the development of tree fruit practices and systems that are sustainable and profitable for North Carolina and southeastern growers.  This includes evaluation of peach rootstocks and planting systems that are tolerant to peach tree short life, evaluation of peach cultivars that will crop consistently in North Carolina, and testing and evaluation of growth regulators that have commercial potential.  Dr. Parker’s research on apples is concentrated in the area of successful replant strategies and rootstock evaluation as part of the NC-140 Regional Research Project.  Dr. Parker also has extensive experience in the postharvest handling of apples and most recently in utilizing 1-MCP (SmartFresh) in systems applicable to many growers in the southeast.

mlp@ncsu.edu | 919.515.1198

NEWA in Wisconsin – meet your coordinator

NEWA Wisconsin Coordinator

Amaya Atucha is an assistant professor and Gottschalk Chair for cranberry research in the department of Horticulture at the University of Wisconsin-Madison and State Fruit Crop Specialist with UW Extension. Her research program focuses on fruit crop physiology and production of deciduous fruit crops, predominantly cranberries and cold climate grapes, and her extension program delivers up to date, research-based information to fruit growers in Wisconsin. She is the editor for the Wisconsin Fruit Newsletter, a biweekly newsletter distributed statewide in Wisconsin, and is a contributor to the Cranberry Crop Management Journal, a publication highlighting research and extension in cranberry production at UW-Madison.

atucha@wisc.edu | 608.262.6452

Improve your western bean cutworm scouting with NEWA flight estimates

wbc damage

Figure 4. WBC damage to field corn. Photo credit K. Wise, New York State IPM Program.

A western bean cutworm flight completion model is available that uses real-time weather data from any NEWA location in NY and beyond. Released in 2018, this model tracks estimates flight completion so growers can precisely time IPM field corn, sweet corn, and dry bean IPM scouting practices. This project was funding in part by a grant from the New York State Vegetable Research Council.

Western bean cutworm (Striacosta albicosta [Smith]) (WBC) was first discovered in New York State in 2009.  It has been expanding its range from its origin in the high plains area of the US over the last 20 years.  WBC is an insect pest of corn and dry beans, and can cause significant yield and quality losses to field corn grain. In other parts of the Corn Belt, it has become a pest causing significant economic losses in field corn.

wbc model

Figure 1. The NEWA Western bean cutworm online model uses real-time weather data from 167 grower-owned weather stations located across New York State. NEWA is an open-access platform and does not charge a membership fee. Accessible at http://bit.ly/2G1U99c

NEWA also generates twice-weekly map updates for New York State using WBC model output from a sub-set of available locations combined with WBC presence/absence data taken from the New York State IPM Program Sweet Corn Pheromone Trap Network Report published weekly throughout the growing season. These maps will be posted to the Your NEWA blog moving forward.

wbc map

Figure 2. Maps updated twice-weekly during WBC flight emergence periods use the Hanson method2 to estimate flight completion using real-time weather data streamed from 167 physical weather station located across New York State.

Old vs New WBC Prediction Methods

Historical IPM strategies use the ‘Nebraska method’ to estimate 25% WBC flight completion.1 Field scouting is employed to count egg masses when that threshold is reached, and outcomes are then used to justify management actions. The Nebraska method is a simple base 50°F degree day model that was published in 1976.

In 2015, entomologists at University of Minnesota noted WBC range expansion from native areas to the northern and eastern United States. They questioned the Nebraska method’s accuracy for these regions and published a revised flight prediction model called the ‘Hanson method’.2 The Hanson method also uses simple degree day calculations – but uses a different base temperature, adds an upper temperature limit, and begins accumulating earlier in the year (Table 1). 25% emergence is still used as a threshold to begin scouting for egg masses (Table 2).

Table 1. Comparison of old and new model parameters for estimation of WBC flight emergence.

Method Nebraska Hanson
Lower threshold 10°C (50°F) 3.3°C (38°F)
Upper threshold none 23.9°C (75°F)
Calculation method Simple Simple
Start May 1 March 1

Table 2. WBC Estimated flight completion lookup using degree day accumulations based on the Hanson method.

Hanson method1

Est. Flight completion Base 3.3°Ca Base 38°Fa
1% 1230 2200
5% 1320 2390
10% 1365 2460
15% 1390 2540
20% 1415 2585
25% (scout for egg masses) 1430 2615
30% 1450 2655
40% 1475 2690
50% 1500 2735
60% 1530 2800
70% 1560 2845
80% 1600 2919
90% 1660 3030
100% 2110 3825

a The Hanson method uses lower and upper thresholds of 3.3C (38F) and 23.9C (75F), respectively.

References

1 Ahmed, T. R. 1979. Comparison of heat unit accumulation methods for predicting European corn borer and western bean cutworm flights. M.S. thesis, University of Nebraska, Lincoln, NE.

2 Hanson, A. A., R. D. Moon, R. J. Wright, and W. D. Hutchison. 2015. Degree-Day Prediction Models for the Flight Phenology of Western Bean Cutworm (Lepidoptera: Noctuidae) Assessed with the Concordance Correlation Coefficient. J. Econ. Entomol. 108: 1728-1738. DOI: 10.1093/jee/tov110