News and Updates from FIRST

Photo from George Amaya

Photo from George Amaya

Iowa Farmer Today | FIRST yields: Extremes in moisture affect trials across Midwest

Various geographic droughts in some locations or too much rain in others lead to various yield results. Some were positive despite the tough conditions.

Link: https://www.agupdate.com/iowafarmertoday/news/crop/first-yields-extremes-in-moisture-affect-trials-across-midwest/article_08811d72-e8f5-11e8-ba80-670488dbe510.html

Author: Aaron Viner


Soybean Meal Info Center | Amino Acid Analysis of F.I.R.S.T. 2017 Crop-Year Sample Set

Soybean samples from the 2017 crop year across multiple U.S geographic regions were provided by FIRST to determine the extent to which (1) soybean meal end-user relevant compositional characteristics vary and are associated with genetic background, and, (2) yield per acre is related to reported compositional characteristics.

https://www.soymeal.org/soy-meal-articles/usb-farmers-independent-research-of-seed-technologies-first/

Presentation:  https://www.soymeal.org/powerpoint/report-for-project-amino-acid-analysis-of-f-i-r-s-t/


Photo Credit: Unknown

Photo Credit: Unknown

Farm & Ranch Guide | Harvest begins for FIRST trials in ND and Red River Valley

As corn and soybean production moves north, companies recognize the value of FIRST trial results. Updates are provided on many seeds companies that are participating in FIRST corn trials throughout Southeast North Dakota, and in soybean trials clear to the border with Canada.

Link: https://www.agupdate.com/farmandranchguide/news/crop/ harvest-begins-for-first-trials-in-nd-and-red-river-valley/article_d2138496-c1b2-11e8-a68f-af95ec9c811d.html

Author: Andrea Johnson


Photo Credit: Unknown

Photo Credit: Unknown

DTN | Artificial Intelligence In Agriculture: Understanding Crop Growth

Though rather small relative to the potential size of agricultural datasets, the Farmers’ Independent Research of Seed Technologies (F.I.R.S.T.) test plot data provides an opportunity to demonstrate the power of AI applied to big data in order to understand the environmental factors driving corn growth.

https://www.dtn.com/artificial-intelligence-in-agriculture-understanding-crop-growth/?utm_source=website&utm_medium=redirect&utm_campaign=clearag

Author: Unknown


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Agritech Tomorrow | Expected Harvest Moisture in Corn Seed Selection

Yield potential is often the key consideration in the process, whether through the selection of ‘racehorse’, ‘stable’ or ‘workhorse’ varieties, or the selection of specific genetic traits that will mitigate the headwinds the crop might face in any particular field. F.I.R.S.T field data helps us analyze the trends.

https://www.agritechtomorrow.com/article/2018/01/expected-harvest-moisture-in-corn-seed-selection/10467

Author: Dr. John Mewes