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Webinar Series Part 1: Introduction to Barcode-based Digital Data Collection for Vegetable Breeding Programs

About the Webinar Series

The webinars in this series are targeted to small to mid size vegetable seed companies and horticultural researchers. Considering the transition from clipboard to tablet? This series of 3 webinars by Michael Mazourek of Cornell University will provide user friendly strategies to getting started with digital data collection and setting up your breeding or trial program with a barcode based system. The system is designed to utilize off-the-shelf solutions such as standard spreadsheets and instruments that can be purchased from familiar scientific suppliers.

This webinar series is free and open to the public, and advance registration is required. Register just once for all 3 webinars here:

August 24, 2017, 2PM Eastern Time, 1PM Central, 12PM Mountain, 11AM Pacific Time
Part 1: Introduction to Barcode-Based Digital Data Collection for Vegetable Breeding Programs

Part 1 will consist of an overview of a comprehensive seed to field to fruit to seed system we have evolved to manage an array of vegetable crop breeding projects with special consideration for managing crops that will have multiple fresh market harvests. An introduction to barcoded information, plot and plant identity systems we employ, considerations and the overall infrastructure will be presented.

September 7, 2017. 2PM Eastern Time, 1PM Central, 12PM Mountain, 11AM Pacific Time
Part 2: Collecting Data in the Field with Barcode-Based Digital Data Collection for Vegetable Breeding Programs

Part 2 will focus on field based aspects from transplant to field, materials and supplies required, and strategies to collect observations in the field, including photography.

September 28, 2017. 2PM Eastern Time, 1PM Central, 12PM Mountain, 11AM Pacific Time
Part 3: Harvest Data and Final Analysis
with Barcode-Based Digital Data Collection for Vegetable Breeding Programs

Part 3 will focus on harvest based component of the system with an emphasis on the connected instrumentation for dimensions, weights, photographs and quality instruments and how data is compiled for final analysis. At the conclusion, participants will be able to evaluate whether they will choose to invest in this technology and will have examples of how to get started in assembling their own data collection pipeline.

About the Presenter

Michael Mazourek is the Calvin Knoyes Keeney associate professor in Plant Breeding and Genetics at Cornell University. His breeding program focuses on the improvement of vegetable crops for organic production systems and accompanying genomic analyses to identify genes under selection and develop tools to facilitate vegetable breeding progress. Michael teaches Plant Genetics and conducts on-farm and participatory plant breeding workshops including ones as part of NOVIC, the Northern Organic Vegetable Improvement Collaborative. He has released several cultivars including the Habanada pepper, Martini cucumber, Trifecta melon and an array of butternut squash. His program includes several vegetables, but has a focus on pest and disease resistance in addition to flavor and convenience traits that promote the consumption of naturally nutritious foods.

Funding for this webinar series is being provided by a USDA NIFA AFRI project entitled Genomic and Phenomic Tools to Support Vegetable Cultivar Development: Winter Squash as an Initial Target.

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The Extension Foundation was formed in 2006 by Extension Directors and Administrators. Today, the Foundation partners with Cooperative Extension through liaison roles and a formal plan of work with the Extension Committee on Organization and Policy (ECOP) to increase system capacity while providing programmatic services, and helping Extension programs scale and investigate new methods and models for implementing programs. The Foundation provides professional development to Cooperative Extension professionals and offers exclusive services to its members. In 2020 and 2021, the Extension Foundation has awarded 85% of its direct funding back to the Cooperative Extension System, 100% of funds are used to support Cooperative Extension initiatives. 

This technology is supported in part by New Technologies for Agriculture Extension grant no. 2020-41595-30123 from the USDA National Institute of Food and Agriculture and membership funding. Any opinions, findings, conclusions, or recommendations expressed in the content are those of the author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture. For more information, please visit You can view the terms of useat

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