Idaho Department of Agriculture
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FY2015 Specialty Crop Block Grant Program – Farm Bill Idaho State Department of Agriculture Prepared by: Nichole Britt, Specialty Crop Block Grant Program Coordinator AMS Agreement: 15-SCBGP-ID-0015 Final Performance Report Submitted: December 20, 2018 1 Table of Contents Boise State University A Web-Enabled Site Suitability and Visualization Tool to Support Idaho's Growing Wine Industry ..................................... … 3 Clearwater Economic Development Association Lewis-Clark Valley AVA Launch .......................................................................................................................................... … 6 Idaho Apple Commission Creating Awareness of Idaho Apples through In-Store Promotions, Website Development, and Social Media ……………………..9 Idaho Bean Commission Water and Soil Conservation and Effective Weed Management for Sustainable Dry Bean Production ............................... …11 Idaho Bean Commission Novel Genetic Systems to Develop Bean Varieties Resistant to Viruses for Export to Mexico ............................................ …14 Idaho Cherry Commission Creating Awareness of Idaho Cherries through In-Store Promotions, Website Development, and Social Media……………………16 Idaho Grape Growers and Wine Producers Commission Utilizing Educational Tools to Market and Propel the Idaho Wine Industry Forward ........................................................... .. 17 Idaho Potato Commission International Business Development for Idaho Potatoes .................................................................................................... …23 Idaho Potato Commission Development of Pale Cyst Nematode resistance in russet-skinned potato clones for Idaho ................................................ .. 30 Idaho Preferred Promoting Specialty Crops through Advertising, Retail, and Foodservice Promotions…………………………………………………………………………………………………………………………………………………………………………. 32 Idaho-Eastern Oregon Onion Committee Building International Markets in Mexico and Central America through Foodservice Promotional Activities and Trade Missions…………………………………... ....................................................................................................................................... 36 Northwest Nazarene University IdaBOT: An Autonomous Utility Robot for Managing Idaho Specialty Crops ....................................................................... 38 Snake River Economic Development Alliance Western Treasure Valley Pumpkins .................................................................................................................................... ..42 University of Idaho Impact of Canopy Design, Cluster Management, and Cultivars on Quality, Yield, and in Table Grapes……………. ................................................................................................................................................................. ..44 University of Idaho Identifying How Potato Skin Wastes Produced in Idaho Can be Used to Modulate Glycemic Response ……………………………………………………………………………………………………………………………………….....................................52 USA Dry Pea & Lentil Council Education and Outreach for Media Professionals ............................................................................................................... .40 2 A Web-Enabled Site Suitability and Visualization Tool to Support Idaho's Growing Wine Industry Subrecipient Boise State University (BSU) Project Summary The overarching objectives of this project were threefold: (1) to compile a set of climate indices through review of appropriate literature and interaction with growers in the Snake River American Viticultural River (SR-AVA) that are used to inform decision-making related to wine grape production, (2) to use an existing state-of-the-art regional database of weather for the years 1986-2017 that the Snake River American Viticultural Area to calculate the identified climate indices through space and time, and (3) to develop a web-based, interactive visualization tool that allows growers and anyone with access the ability to see spatial and temporal patterns in these key measures of climate. Additionally, a complementary suite of activities collected ground-based terrestrial laser scanning (TLS) data from a number of vineyards in the SR-AVA to facilitate improved site-level characterization of key parameters like topographic slope, aspect, and, potentially, soil characteristics. The rationale for this project was to provide access to a dataset of high scientific quality to existing and future producers of wine grapes (and other specialty crops) in order to help inform their planning and operational practices. To ensure success it was, therefore, necessary to understand (1) what attributes and indices of climate and weather are used by growers in their decision-making process, and (2) how to use the advanced climatological dataset to calculate these indices through space and time. Project Approach The project used a state-of-the-art climate dataset previously developed by the PI at Boise State University with support from NASA and the National Science Foundation. The dataset was developed using a regional model capable of simulating land-atmosphere conditions at spatial resolutions that explicitly permit convection (e.g., < 4 km) and sub- diurnal temporal resolutions, the Weather Research and Forecasting (WRF) model. In the SR-AVA it is particularly important to capture climate variables at substantially higher spatial resolutions than other available climate products because the area has spans a large elevation range and is associated with significant topographic complexity that influences the distribution of key variables like precipitation and temperature. It is also important to capture sub- diurnal fluctuations in weather and climate because Idaho’s continental and desert climate are associated with potentially rapid fluctuations that cannot be captured by daily summary data. The dataset is composed of two spatial domains/ an outer domain that captures the entire Snake River Basin at a spatial resolution of 3km and a nested, inner domain that captures the SR-AVA and Boise River Basins at spatial resolutions of 1km. In both cases, output from the model is available at 1 hr temporal resolutions. WE ran the model for a continuous period spanning October 1, 1986 through September 30, 2017. This encompasses 30 years of water data. Because the model simulates the entire land-atmosphere column, the dataset is exceptionally large (more than 300 TB). Hence a significant portion of this project involved data reduction and sub-setting of key variables. 3 Over the course of the first project year, we conducted a thorough literature review and interviews with a number of vineyard operators in the Sunnyslope region of the SR-AVA to ascertain what facets of climate and weather were important for making planning and operational decisions. Based on this literature review and engagement with key stakeholders, we found that the climate factors of interest to growers could be grouped into two subsets. The first included climate metrics and indices that are commonly related to the favorability of a location or year for growing grapes. An example climate index in this category are the growing degree days (GDD), which capture the accumulation of atmospheric heat content above some threshold value. Historical estimates of GDD are frequently used to assess the favorability of growing conditions at a particular location and make decisions about grape varietals likely to succeed at that location. The other category of climate indicators include those that capture potentially damaging weather conditions. These include the day of first frost event during a given growing season, a “frost” being defined as a continuous period of below-freezing air temperatures lasting at least 5 hours. The day of first frost is an important determinant of when harvest and any winter vine maintenance activities should be complete. Our literature review and interviews were used to develop a list of high-priority indices that would be obtained throughout space and time for the SR-AVA from the regional database. For all indices that we computed and visualized, these datasets represent the highest-resolution data available to support growers in Southwest Idaho. Having obtained a prioritized list of climate indices, we developed a web-based visualization tool that allows users to interactively explore these key indices throughout the SR-AVA and during all years captured by the climate database. The functionality allows users to see region-wide trends in variables, zoom in to see patterns in finer spatial detail, and develop plots of historical years at an individual site-level. Our visualization tool is developed using an R Shiny server that was deployed on Boise State’s network. The R Shiny framework allows users to view both geospatial and time series data interactively with minimal configuration required by the developers. Importantly, the available geospatial visualization utilities allow a suite of base layers (maps) that provide meaningful spatial context for users. These base layers provide visualization of key geospatial attributes like roads and highways, waterways, National Forests, and other signposts to orient the viewer. These are displayed in a hierarchical fashion, meaning that the base layers refine in their scale as the user zooms in. A critically important facet of this R Shiny platform is that it is extensible and easily