The Five P’s of Marketing Product Packaging Place Price Promotion “The Purple Cow”

Slides:

Advertisements

Similar presentations

Controlled Breeding Chandler Akins GJCA Officer Convention Coordinator.

Advertisements

Professor N. Nelson Blue Mtn. Agriculture College.

Utilizing Performance Data for Livestock Selection Developed by: Celina Johnson University of Florida.

Matt Spangler University of Nebraska- Lincoln DEVELOPMENT OF GENOMIC EPD: EXPANDING TO MULTIPLE BREEDS IN MULTIPLE WAYS.

The Future Competition Don Schiefelbein Schiefelbein Farms Kimball, Minnesota.

Placings By Traits Muscle: Finish: Capacity: Structure: Balance: Official Placing: Cuts:

Sexed Semen and Beef Cattle UW Extension Livestock Team Spring 2010.

Colorado Agriscience Curriculum

BEEF GENETICS NEXT What color are Shorthorns? n A. White n B. Red n C. Roan n D. All the above A B C D NEXT.

BEEF CATTLE GENETICS By David R. Hawkins Michigan State University.

THE ISRAELI BREEDING PROGRAM elite cows selected based on their genetic evaluations. About ½ of these cows are mated to local elite bulls, and.

By Payton Fehringer. Why Red Angus Genetics?  Superior maternal traits  Crossbreeding advantages  Promotional tools  Red Angus Association.

EPD 101 PredictingProfit… Red Angus – EPD 101. EPD 101 Members (Seedstock producers) succeed through enabling the success (profit) of their commercial.

Beef Production. Terms to Know Polled –born naturally without horns Horned –Born naturally with the ability to grow horns….may never grow though Marbling.

Exploring the Beef Industry

Producers breed for improved genetics Produce all breeding stock (Bulls and Heifers) Raise purebred or registered cattle Pay close attention to EPD’s.

Place Cooperatives – Seedstock Plus – Leachman – Flying H Genetics – Fink – Schiefelbien – Camp Cooley – Pharo Cattle Co.

A Bigger Piece of the Pie: Creating Market Share for SimGenetic Cattle Ben Williamson Penn State University September 14, 2015.

Dr. Gordon F. Jones Professor of Animal Science / Retired Western Kentucky University.

Jared E. Decker 1.

Straightbreeding – A simple way to reduce your bottomline D. A. Daley California State University, Chico NCBCEC Brown Bagger Session October 17, 2012.

Using EPDs in Selection Stolen and edited by: Brandon Freel and Daniel Powell Originally compiled by Colorado Agriscience Curriculum.

Expected Progeny Differences Cattle Selection Using Genetic Data Nick Nelson Blue Mountain Community College.

The Brown Bagger Beef Cattle Adaptability Current Tools of Assessment John L. Evans Oklahoma State University 1.

Wade Shafer American Simmental Association. In the pursuit of genetic improvement all traits are antagonistically related to each other.

Characterizing Change in the Beef Industry Justin W. Waggoner, Ph.D. Beef Systems Specialist Kansas State University Garden City, KS.

Brown Bagger – Beef Cattle Genetics: Fine Tuning Selection Decisions 1 How do I decide what traits are important ? Selection Indices Dorian Garrick Department.

Livestock Breeding & Marketing Systems. Breeding Systems Different systems exist due to the various types of livestock operations Factors to determine.

Commercial Ranch Project and DNA testing John Pollak Cornell University.

Animal Genomics and Biotechnology Education “Economic value of genomic information: Sire and commercial heifer selection" Van Eenennaam 10/19/2011.

Ottensmeier Angus A DECADE OF EXCELLENT ANGUS CATTLE.

B66 Heritability, EPDs & Performance Data. Infovets Educational Resources – – Slide 2 Heritability  Heritability is the measurement.

Evaluating Longevity: 10 Years of Using Stayability EPD Larry Keenan Research & Special Projects Coordinator, RAAA.

Beef Cattle Production

 Objective 7.03: Apply the Use of Production Records.

Understanding Cattle Data Professor N. Nelson Blue Mountain Agriculture College.

1 Unit E Segments of the Animal Industry Lesson 1 Exploring the Cattle Industry.

NBCEC Brown Bagger: Economic Selection Index Wade Shafer American Simmental Association.

How Does Additional Information Impact Accuracy? Dan W. Moser Department of Animal Sciences and Industry Kansas State University, Manhattan

The Beef Industry. Beef Products What products can you think of? What products can you think of?

EPD’s: What They Are and How to Use Them. Introduction EPDs = Expected Progeny Differences Progeny = Offspring, usually the offspring of the sire Differences.

Sunshine Farms P O Box 1777 Clanton, AL Using Ultrasound Data in a Seedstock Production Program.

Breeding Objectives for Terminal Sires Michael MacNeil USDA ARS Miles City, MT.

What is an EPD? Expected Progeny Difference

Selection & Judging of Beef Cattle

MANAGEMENT OF BULLS FOR REPRODUCTIVE AND ECONOMIC SUCCESS Cliff Lamb Beef Specialist University of Florida.

Feed Efficiency Genetic Projects. Terms Gain/Feed = Feed Efficiency FE Feed/Gain = Feed Conversion FC: -FE Residual Feed Intake RFI Net Feed Intake NFI:-RFI.

Sally L. Northcutt American Angus Association Selection Tools Beef Improvement Federation April 20, 2006.

Genetics – Trait Selection An S 426 Fall Genetics – Trait Selection Has led to development of Economically Relevant Traits (ERT) and Indicator Trait.

Principles of Agricultural Science – Animal 1. 2 Expected Progeny Differences Principles of Agricultural Science – Animal Unit 7 – Lesson 7.2 Predicting.

Using EPDs in Selection Edited by: Jessica Hawley & Brandon Freel Originally compiled by Colorado Agriscience Curriculum.

Evaluation & Use of Expected Progeny Differences in Beef Cattle Dr. Fred Rayfield Livestock Specialist Georgia Agricultural Education To accompany lesson.

Bull Selection: Beef Kay Farmer Madison County High School edited by Billy Moss and Rachel Postin July 2001.

Fundamentals of the Eurostar evaluations

Exploring the Beef Industry

Beef Cattle Production

Selection and Judging of Beef Cattle

Evaluation & Use of Expected Progeny Differences in Beef Cattle

Using EPDs in Selection

Quiz for Beef Cattle EPDs.ppt

Exploring the Beef Industry

The Beef Industry.

How do cattle get From cattle Farms to our Forks?

Keith Vander Velde UW Extension

Selection Tools for Beef Cattle Improvement

Using EPDs in Selection

Genetic Selection- More ways than 1!

Definition of EBVs of Economically Relevant Traits in Sheep Production

Expected Progeny Differences

Expected Progeny Difference EPD

Presentation transcript:

The Five P’s of Marketing Product Packaging Place Price Promotion “The Purple Cow”

Product Breed Category within a Breed Genetic Value

Categories Diverge *It is very difficult to be everything to everybody!! British Angus ShorthornHereford Efficiency Marbling Balanced Carcass Maternal Grass-based

Genetic Improvement Genetic change which defines the animal as optimum for maximum profitability.

Genetic Evaluation - Value Phenotype Actual Weights Adjusted Weights Ratios EBV EPD ABC MBE – Case Study (AGA and ASA)

Genetic Evaluation Indexes – Case Study (AGA, ASA, AAA) Herd Level MARC - Decision Evaluator for the Cattle Industry (DECI) AAA Optimal Milk Model Individual Level AICA Terminal Sire Profitability Index AAA – for members only Colorado State University - ERT Ultrasound DNA Marker Assisted Selection (MAS) Case Study (GAR)

Seedstock Product Packaging Place Price Promotion “The Purple Cow”

Packaging Unclipped – prefer clean Highly Fitted Body Condition – very few will buy a thin bull

Packaging Weaning – Haglund (8 months) – Sydenstricker (10 months) Yearlings 18-month olds – PBG 24-month olds – Pharo, Powell

Packaging Forage-tested (<.3”) – BCS 4-5 Optimum (.2-.4”) – BCS 6 Feedlot (>.5”) – BCS 7 – HINT - Fat Sells!

Packaging - Basic Free or Cheap Delivery Free or Discounted Samples (semen) Education Consultation 1 st season breeding guarantee Volume Discounts SUS purchase

Packaging - Ultra Customer Appreciation Sales – feeder calves – females Heifer Development Shares in a Packing Plant Buy-back

Place Private Treaty (Fennewald, Lipsey) PT with Opening Day (RCC, Nichols) Consignment Sales – take the Elite animals PT with Auction (Schiefelbein) Auction with PT Competitive Bidding without cattle in ring

Cooperator System 40% of new businesses fail in the first year An additional 40% of businesses fail by the fifth year 80% of the surviving businesses fail by the 10 th year Only 4% are still in business after 10 years Franchises have a 97% survival rate after 10 years. Why?

Cooperator System Professional Management