Tag Archives: IPM

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

The 2017 NEWA Survey: IPM impact

This is part three in a five-part blog series discussing 2017 NEWA survey results of users and non-users. Download the full report to learn more.

By Dan Olmstead and Julie Carroll

IPM impact

“This [NEWA] is a great tool. Timing is everything, especially with chemicals that don’t last very long. NEWA is very helpful in determining when to spray.”

“NEWA is an indispensable tool for apple growers – used daily in the spring and every few days in the summer. Apple scab and fire blight models are extremely useful – many other models as well.”

– NEWA users who completed the 2017 survey

NEWA is a reliable and trusted source of information among users. All respondents said they would recommend NEWA to other growers. They also said NEWA provides reliable IPM information to support responsible management practices, enhance decision-making, and increase awareness of risks. When asked directly if NEWA helps you to improve timing of pesticide applications, 96% answered yes. Growers use NEWA to improve pesticide application timing, reduce spray applications, and reduce crop loss. These findings were consistent with 2007 survey results (Fig. 1 A and B).

Among NEWA users responding to the survey, more strongly agreed in 2017 that NEWA has a positive impact on IPM practices than did in 2007, though combined results were similar:

  • 77% agreed or strongly agreed that NEWA pest forecast information helps them reduce the number of sprays they apply to control diseases, insects, mites, or weeds, compared to 81% in 2007.
  • 86% agreed or strongly agreed that NEWA pest forecast information alerts them to the risk of pest damage, compared to 90% in 2007.
  • 93% agreed or strongly agreed that NEWA pest forecast information enhances IPM decision-making for their crops, compared to 96% in 2007.
  • 95% agreed or strongly agreed that NEWA pest forecast information improves timing of their spray applications (fungicides, insecticides, miticides, or herbicides), compared to 93% in 2007.

As a direct result of using NEWA pest forecast tools, 75% of growers are saving money on their spray bill. Grower respondents to the 2017 survey estimated annual savings of, on average, $4,329 from reducing pesticide sprays. In 2017, the pest forecast tools on NEWA also helped growers prevent, on average, $33,048 in crop loss annually. Translating costs into per acre savings, 44 respondents reported an average per acre savings of $2,060 annually, through reduced sprays and avoided crop loss.

Up next: Use of NEWA models, tools, and resources