Small Ruminant Spring Meeting 4-5-21
April 5th from 7pm-8pm Virtually on Webex.
Register at https://go.rutgers.edu/RUSmallRuminant
Rutgers Cooperative Extension
Rutgers Cooperative Extension Ag Agents provide updates on what they see in the field, upcoming events, and other important news that affects your operation, such as developments in on-farm Food Safety. Subscribe if you wish to be notified about workshops, meetings, and upcoming commercial ag events.
Subscriptions are available via EMAIL and RSS.
Small Ruminant Spring Meeting 4-5-21
April 5th from 7pm-8pm Virtually on Webex.
Register at https://go.rutgers.edu/RUSmallRuminant
In case you missed one of the RCE Animal Ag, Field and Forage Working Group Webinars this past year, here are the recorded video links to access them in the future.
Basic Pasture Management: https://go.rutgers.edu/sz36rbvt
Horse Pasture Management: https://go.rutgers.edu/239mnwb5
Livestock Pasture Management: https://go.rutgers.edu/uepljvmj
Pasture Renovation: https://go.rutgers.edu/qn74rjj5
Pasture Management: https://go.rutgers.edu/mw0l8wd1
Manure Management: https://go.rutgers.edu/19bim643
Selecting Hay for Horses and Other Livestock Session 1: https://go.rutgers.edu/q9teoewg
Selecting Hay for Horses and Other Livestock Session 2: https://go.rutgers.edu/bfsqi1zv
Every year hundreds of employees are injured or die from preventable hazards while working in grain storage and handling. Stand Up 4 Grain Safety Week, sponsored by the OSHA Alliance Program, is a coordinated industry effort to raise awareness of grain handling hazards and educate industry members to prevent injuries and incidents associated with grain handling.
Stand Up 4 Grain Safety Week 2021 will feature daily educational events which are virtual and free to attend. Be aware that the events begin at 10am CDT (11am EST).
Assert your commitment to grain safety by registering for these educational events via the Grain Handling Safety Coalition EventBrite page. For additional information and resources on grain safety, visit the Stand Up 4 Safety Week website at https://standup4grainsafety.org.
The OSHA Alliance Program includes the Great Plains Chapter of the Grain Elevator and Processing Society (GEAPS), the National Grain and Feed Association (NGFA), and the Grain Handling Safety Council (GHSC).
“On March 17, the U.S. Department of Agriculture’s (USDA) wildlife damage management program, Wildlife Services (WS), posted its annual Program Data Reports (PDR) for fiscal year (FY) 2020. The reports are available on the USDA’s Animal and Plant Health Inspection Service (APHIS) webpage, representing the 25th year that WS has shared this information about its wildlife damage management activities….
…APHIS Wildlife Services’ activities seek to reduce or eliminate more than an estimated $232 million in livestock loss due to predation and $150 million in bird damage to crops caused by native and invasive wildlife annually” – APHIS Stakeholder Registry, March 21, 2021
To read the full report, go to https://www.aphis.usda.gov/aphis/newsroom/stakeholder-info/stakeholder-messages/wildlife-damage-news/ws-post-pdr
Expert Panelists Norm Lalancette PhD Rutgers U. Tree Fruit Pathologist
and
Kari Peter PhD Penn State U. Tree Fruit Pathologist
will be discussing tree fruit disease management
Remember this is intended to be an INTERACTIVE discussion.
Prior to Wednesday March 24 Please E-mail ALL of your Tree Fruit Disease Questions to:
Megan Muehlbauer muehlbauer@njaes.rutgers.edu
Or
Hemant Gohil gohil@njaes.rutgers.edu
Why use local growing degree-day models?
Important notes about growing degree-day models:
Two examples of degree-day calculators with instructions:
USPEST.org (home page) delivers a wide variety of degree-day, climatic, and risk-based modeling tools for various applications in agriculture. This resource also has a number of important disease predictive tools such as the Boxwood Blight Risk Model. The USPEST growing degree-day application allows for day-to-day monitoring as well as historical and predictive data. The following directions seem complicated but after a few attempts, it is easy to become proficient with this incredibly powerful modeling system. Remember BASE TEMP MUST = 50°F (for all models to be considered a ‘growing’ degree-day model)
Table 1. Uspest.org – Degree-day / Phenology Model – quick reference guide | ||||
Step # | Tab | Sub-category | Instructions | Notes |
– | Intro | – | Educational | Detailed instructions |
1 | Station | Search bar | Enter – area code, town, or weather station code | example zip code: 08302 |
Drop-down menu | Select – location of interest | example: NJ50 = Upper Deerfield | ||
2 | Model | Model Category | Select – all models | – |
Model | Select – degree-day calculator (general purpose) | Many interesting degree-day calculators are available | ||
Calculation Method | Select – Simple average/growing dds | Average air temperature over 24 hours minus lower (base) temperature threshold | ||
Lower | Input – 50 ℉ | 50℉ : lower threshold must be used for ‘growing’ degree-day predictions/charts | ||
Upper | Input – 95 ℉ | 95℉ : often used as upper temperature threshold value | ||
Dates | Select – date range | Can be current, past, or future date ranges | ||
Options | Optional* – modify forecast type | Default forecasting model: NMME (North American Multi-Model Ensemble) | ||
3 | Output | Model Output | Select – show full table (daily GDD accumulation) | ‘DDs cumu’ = accumulated degree-days from selected start date |
4 | Graph | Graph | No action required | Graphical display of current year, forecasts, and previous years based on ‘Dates’ selected |
Link: | https://uspest.org/dd/model_app |
NEWA (homepage). Cornell University in cooperation with twenty-eight other groups and universities (including Rutgers) coordinate NEWA. NEWA contains a wide variety of robust degree-day models, climatic information and maps, and risk-based modeling tools for various applications in multitude crop systems. This resource also has a number of very useful, disease specific, predictive / monitoring / management tools for fruit, row, and vegetable crop diseases in addition to their growing degree-day model (limited forecasting).
Informative resources:
Please contact Tim Waller – Cumberland Co. Extension (Nursery Agent) if you need assistance setting up and using these powerful tools. (twaller@njaes.rutgers.edu)