Issues › Beef Industry Support
Beef Industry Support
7 statements about Beef Industry Support from 7 members since Jan 3, 2025.
Statements about Beef Industry Support, last 12 weeks
DemRep● = 1 statement
Statements per week mentioning Beef Industry Support, all members, split by party. Democrats stacked first, Republicans after, four to a row. Hover a dot for the member and headline; click a dot to search for that headline. Click a week to set the dates below. Aug 17, 2026 – Nov 8, 2026.
Most active on Beef Industry Support · Aug 17 – Nov 8
- 1RJulie FedorchakND-001
- 2RChuck GrassleyIA1
- 3DGabe VasquezNM-021
- 4RNicholas A. LangworthyNY-231
- 5DCharles E. SchumerNY1
- 6RMike RoundsSD1
Click a name to open their profile. Count is statements, not channel copies.
3 statements
Newest first-
Rep. Gabe Vasquez to Introduce BEEF Act to Protect American Ranchers and Lower Beef Prices
Announced plan to introduce BEEF Act to restrict foreign beef imports and protect American ranchers.
“If we want more affordable beef, the answer is to grow American production, strengthen competition, and make it easier for the next generation of ranchers to stay in business – not make our country more dependent on un-vetted foreign imports”
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Fedorchak joins colleagues in urging admin to expand markets for U.S. cattle producers
Urged President Trump to prioritize policies expanding market access for American cattle producers.
“American ranchers work diligently to do more with less, weather volatile markets, and provide a safe food supply”
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Announced $20 million USDA purchase of Concord grape juice to support Lake Erie growers.
“Keeping our Concord grape industry strong and thriving is a top priority, and I am extremely pleased to see USDA take this important step to support our growers”
Sources: members’ press releases from their official websites (since the 119th Congress began (Jan 3, 2025)) and the Congressional Record (since Aug 2026). Statements are tagged to Beef Industry Support by AI reading of the full text. Quotes are shown only when they match the archived source text word for word.