Tag Archives: NEWA

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

NEWA announces partnership with Onset Corporation

The New York State IPM Program at Cornell University is pleased to announce that Onset Corporation has joined the NEWA family and will be partnering to integrate HOBO® weather station data used by growers for use with insect pest and plant disease decision support tools at http://newa.cornell.edu.

The HOBO RX3000

Combining HOBO RX3000 weather stations with NEWA’s decision support tools will give farmers access to microclimate monitoring data and real-time crop management decision support, allowing for faster, well-informed farm management decisions. Growers simply select the NEWA data feed after logging onto the HOBOlink® cloud platform and then contact the NEWA Help Desk to complete the onboarding process to http://newa.cornell.edu.

Learn more about the RX3000 NEWA configuration

Onset HOBO RX3000 Benefits

  • Free NEWA access in member states.
  • 5% NEWA discount on weather station equipment purchases.
  • NEWA tool and resource compatibility.
  • Reliable weather monitoring with low-cost data plans.
  • Hobolink® alarm notifications via text.
  • Hobolink® 24/7 data access.
  • Wide area farm coverage with HOBOnet add-on mesh network sensors (optional).

Onset is ready to answer your questions about HOBO RX3000 station configurations suitable for use with the NEWA platform. Visit the Onset NEWA partner page to learn more, or contact designated Onset support staff below with your questions regarding equipment and purchases.

Matt Sharp, Strategic Sales Representative
Environmental & Agricultural Monitoring
Direct: 508-743-3126
Main: 1-800-LOGGERS (564-4377)
matt_sharp@onsetcomp.com

Farm-scale monitoring

Jamie Pearce, Onset’s VP of Marketing and Corporate Development says, “We’re very excited to be integrating our HOBO RX3000 weather station data with NEWA. Not only does it help our agricultural customer base gain actionable insights, but it also delivers the option to leverage our new wireless sensors with the HOBOnet® Field Monitoring System. Now, apple growers to vineyard managers can get a better sense of what’s happening throughout their fields.”

More About Onset

Based on Cape Cod, Massachusetts, Onset has been designing and manufacturing its data loggers and monitoring solutions since the company’s founding in 1981. The company’s award-winning HOBO® data logger and weather station products are used around the world in a broad range of monitoring applications, from water and coastal research to indoor and outdoor environmental monitoring. https://www.onsetcomp.com.

NEWA apple carbohydrate thinning model now improved!

Written by Dan Olmstead, Juliet Carroll and Mario Miranda Sazo

You’ve read about it in trade magazines, heard about in talks, and now it’s become a reality with a v2019 upgrade released on Friday April 26! Terence Robinson has added important improvements to the apple carbohydrate thinning model on NEWA. Dr. Robinson, tlr1@cornell.edu, Professor of Horticulture, Cornell University, along with other horticulturists, developed the Malusim fruit thinning model. The Apple Carbohydrate Thinning Model on NEWA has continued to be researched and now the improvements from this research are being woven into a v2019 edition of the model, improving its precision.

How to Access the v2019 Apple Carbohydrate Thinning Model on NEWA

If you haven’t already started your thinning program, access and use the v2019 apple carbohydrate thinning model using the same dropdown list as the current apple thinning model. Click on ‘Apple CHO Thinning v2019 NEW’.

If you’ve already initiated your thinning program and are using the original ‘Apple Carbohydrate Thinning’ model, continue to use that one. All web browser bookmarks and website access points will remain intact for the remainder of 2019.

Need more specifics? On NEWA’s main menu, hover over or tap on ‘Crop Management’ to show the dropdown list. Then click or tap on ‘Apple CHO Thinning v2019 NEW’. Click the link below for direct access.

Apple CHO Thinning v2019 (the upgraded version), http://newa.cornell.edu/index.php?page=apple-thin-new

Mario Miranda Sazo, Extension Associate, Cornell Cooperative Extension Lake Ontario Fruit Program, provided this summary of the upgrades in the Apple CHO Thinning v2019 NEW model.

  • The NEWA apple carbohydrate thinning model will get an updated look and provide more comprehensive information.
  • The data table will have a column of degree days (DD) base 4°C and will have color highlighting when we are in the sweet spot for thinning (200-250 DD from bloom).
  • The user will be required to enter the percentage of spurs that are floral.
  • The new version will also give a Thinning Index composed of the average carbohydrate balance for the two days before, the day of thinning, and the next four days, providing a seven-day running average.
  • The thinning recommendations will be based on a new three-dimensional lookup table that takes into account DD from bloom, percent of spurs that are flowering, and the thinning index (i.e. the average carbohydrate balance over seven days).
  • The thinning recommendation cells in the table will be color coded to indicate high risk of over-thinning (red), mild thinning efficacy (yellow), and good thinning efficacy (green).

In New York, please direct questions and comments regarding these important updates and changes to your Cornell Cooperative Extension regional program extension educator listed below or to Terence Robinson.

Mario Miranda Sazo, Lake Ontario Fruit Program

Mike Basedow, Eastern New York Commercial Horticulture Program (Champlain Valley)

Dan Donahue, Eastern New York Commercial Horticulture Program (Hudson Valley)

In 2020, along with a brand new NEWA website, the upgraded apple carbohydrate thinning model will be implemented on NEWA and replace the original version.