Bob Weaber, Ph.D. Division of Animal Sciences University of Missouri-Columbia

Slides:



Advertisements
Similar presentations
Phenotypic correlations between residual feed intake, growth, carcass traits and reactivity in Nellore bulls (Bos indicus). Tiago Roberto Stella †, Paulo.
Advertisements

MEAT GOAT SIRE EVALUATION TEST USING THE GROWSAFE 4000 SYSTEM David Seymour WVU Extension Agent – Pendleton County
Seminar Fast Track Probiotics limit the severity of post weaning diarrhoea Larissa Beale.
Disposition – Convenience Trait or Economically Important Darrell Busby ISU Extension Beef Specialist for SW Iowa ISU Armstrong Farm Learning Center Lewis,
The Effect of Animal Disposition on Carcass Traits
Stephen B. Smith Department of Animal Science Texas A&M University.
Matt Spangler University of Nebraska- Lincoln DEVELOPMENT OF GENOMIC EPD: EXPANDING TO MULTIPLE BREEDS IN MULTIPLE WAYS.
“Knowing the Growth Efficiency Potential in the Lamb Crop ” Dr. Jeff Held South Dakota State University.
 Docility EPD: A Tool for Temperament Devori W. Beckman Iowa State University.
Selection Lines for Residual Feed Intake (RFI) in Yorkshire Swine Weiguo Cai 1, David Casey 2, Jack Dekkers 1 1 Department of Animal Science, Iowa State.
Residual Feed Intake and the Cow Herd A. M. Meyer 1 *, R. L. Kallenbach 2, M. S. Kerley 1 University of Missouri, Columbia 1 Division of Animal Sciences.
The latest eating quality science managing intramuscular fat and tenderness to improve the consumer eating experience Dave Pethick Lis Pannier & the Sheep.
Carcass EPD: Where are we, and where are we going? Dan W. Moser Dept. of Animal Sciences and Industry Kansas State University.
Agriculture and Agri-Food Canada Agriculture et Agroalimentaire Canada The Genetics of Feed Efficiency in Cattle Dr. D.H. “Denny” Crews, Jr. Research Scientist,
Applying feed intake monitoring systems into producer testing programs Dr. Daryl R. Strohbehn Extension Beef Specialist Iowa Beef ISU.
BEEF QUALITY: WHAT IS IT? — HOW TO PRODUCE IT Harlan Ritchie Department of Animal Science Michigan State University East Lansing, Michigan
Improvement of Beef Cow Biological Efficiency
Animal Handling By Carrie Carson. Objectives Locate the blind spot on livestock Locate the blind spot on livestock List likes and dislikes for livestock.
BEEF CATTLE FEED EFFICIENCY: OPPORTUNITIES FOR IMPROVEMENT Dan Faulkner Department of Animal Sciences.
The Genetics of Feedlot Health—an Update R. Mark Enns Department of Animal Sciences Colorado State University.
Daryl Strohbehn, Ph.D. Emeritus Professor Iowa State University Bob Weaber, Ph.D. Ext. Cow-Calf Specialist Kansas State University.
M. Dufrasne 1,2, V. Jaspart 3, J. Wavreille 4 et N. Gengler 1 1 University of Liège, Gembloux Agro Bio-Tech, Animal Science Unit - Gembloux 2 F.R.I.A.
Genetics of feed efficiency in dairy and beef cattle
Wuttigrai Boonkum, Ph.D Data Collecting for Genetic Improvement in Beef, Dairy cattle and Buffalo Wuttigrai Boonkum,
D. H. “Denny” Crews, Jr. Colorado State University BIF SubCommittee Chair.
South African Feedlot Association March 12, 2009 Practical Application of Gene Markers and Feed Efficiency Data for Today’s Cattleman By Dr. Roger E. Hunsley.
Breeding and Genetics 101.
Van Eenennaam 11/17/2010 Animal Genomics and Biotechnology Education Alison Van Eenennaam, Ph.D. Cooperative Extension Specialist Animal Biotechnology.
Breed and Trait Selection Considerations Dan W. Moser Dept. of Animal Sciences and Industry Kansas State University.
Straightbreeding – A simple way to reduce your bottomline D. A. Daley California State University, Chico NCBCEC Brown Bagger Session October 17, 2012.
WHAT ARE EPD’S?. What is an EPD? E-xpected P-rogeny D-ifference A measure of the degree of difference between the progeny of the bull and the progeny.
Breeding cattle for a more efficient and sustainable milk and meat production Oscar González-Recio, J. Pryce, M.E. Goddard, B. Hayes EURO FOOD
The Brown Bagger Beef Cattle Adaptability Current Tools of Assessment John L. Evans Oklahoma State University 1.
As a Producer, How Do I Hit that Target? Twig Marston Extension Beef Specialist K-State Research & Extension.
 PTA mobility was highly correlated with udder composite.  PTA mobility showed a moderate, positive correlation with production, productive life, and.
Brown Bagger – Beef Cattle Genetics: Fine Tuning Selection Decisions 1 How Do I Decide What Traits are Important? Carcass/Ultrasound EPDs Bob Weaber GRA-Cornell.
Problems with telephone hookup? Contact the operator at the University of Illinois Contact the operator at the University of Illinois
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.
Introduction to Selection Indexes Bob Weaber, Ph.D. State Extension Specialist-Beef Genetics University of Missouri-Columbia
Animal Genomics and Biotechnology Education “Economic value of genomic information: Sire and commercial heifer selection" Van Eenennaam 10/19/2011.
Fitting cows to your environment Harvey Freetly U.S. Meat Animal Research Center, ARS, USDA.
Genetic Evaluation of Lactation Persistency Estimated by Best Prediction for Ayrshire, Brown Swiss, Guernsey, and Milking Shorthorn Dairy Cattle J. B.
Bob Weaber, Ph.D. Associate Professor/Cow-Calf Extension Specialist Kansas State University
 Objective 7.03: Apply the Use of Production Records.
Genetic Evaluation of Carcass Data Using Age, Weight, Fat, or Marbling Endpoints 2003 BIF Selection Decisions Committee May 29, 2003 Janice M. Rumph Montana.
Understanding Cattle Data Professor N. Nelson Blue Mountain Agriculture College.
Genetic Evaluations & Decision Support to Improve Feed Efficiency Dorian Garrick Department of Animal Sciences Colorado State University.
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.
Fitting Together the Pieces of the Feed Efficiency Puzzle: IGF-I as a biomarker or indicator trait for RFI Gordon Carstens Texas A&M University NBCEC Working.
How Does Additional Information Impact Accuracy? Dan W. Moser Department of Animal Sciences and Industry Kansas State University, Manhattan
Breeding Objectives for Terminal Sires Michael MacNeil USDA ARS Miles City, MT.
Relationships between Carcass Quality and Temperament in Beef Cattle Rhonda C. Vann MAFES-Brown Loam Experiment Station- Raymond, MS.
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.
National Beef Cattle Evaluation Consortium Brown Bagger Seminar Carcass EPDs Integrating Carcass and Ultrasound October 22, 2008 Sally L. Northcutt Genetic.
Advanced Animal Breeding
PARAMETER GENETIK Genetic parameters (h 2, r dan r G )
1 FIRST RESULTS OF THE AUSTRIAN EFFICIENT COW PROJECT Fuerst-Waltl Birgit, Steininger Franz, Fuerst Christian, Gruber Leonhard, Ledinek Maria, Zollitsch.
Effects of Two Measures of Disposition on Post-weaning Gain of Beef Calves R. L. Weaber, Ph.D. F. E. Creason.
KSU Cattle Value Optimization Seminar What Feedyards Are Looking For in Cattle They Buy By Tom Brink.
Fundamentals of the Eurostar evaluations
Introduction to Evaluation
Work Toward Genetic Improvement of Disposition in Beef Cattle
WHAT ARE EPD’s?.
Genetic evaluation of an index of birth weight and yearling weight
Update on Structure EPD Development R. L. Weaber, J. Bormann, N
History of Selection From Phenotypes to Economic Indexes
Have we seen any progress in breeds selecting for temperament?
Presentation transcript:

Bob Weaber, Ph.D. Division of Animal Sciences University of Missouri-Columbia

 Why is temperament important?  Measures of temperament  Genetic and phenotypic relationships  Growth  Feed intake, feed efficiency (RFI, FCR, FE)  Meat quality  Animal health and well being ▪ Chronic stress, immune response October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary2

 Animal well being  Handler well being/safety  Mean age of operator increasing  Family operations  Facility construction and maintenance  Performance in correlated traits  Can we improve profitability? October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary3

 Chute score (subjective)  Measured on individual animal  1 (docile)-6 (very aggressive) (BIF Guidelines)  Pen score (subjective)  1-5 animals in pen  1 calm, 5 very aggressive  Exit velocity or flight speed (objective)  Chute tensometer (g force) (objective) October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary4

October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary5 6 ft Chute Infrared Eye

October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary6

October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary7

October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary8

 Temperament is heritable  Chute Score (subjective)h 2 = (Beckman et al., 2007; Weaber, 2007; Burrow and Corbet, 2000)  Pen Score h 2 = 0.15 (Weaber & Creason, 2007)  Exit Velocity (objective) ▪ Single measureh 2 = 0.35 (Weaber & Creason, 2007 ; Burrow, 2001) ▪ Avg. of >=2 measuresh 2 = (Burrow, 2001) October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary9

Estimate (Std Error) EVPS EV 0.35 (0.078) 0.20 PS 0.28 (0.825) 0.15 (0.058) October 27, 2010 Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary10 *Heritability on diagonal, phenotypic correlation above, genetic correlation below

 Bos indicus more excitable than B. taurus (Fordyce et al., 1988; Voisinet et al. 1997)  Differences among B. taurus breeds (Gauly et al., 2002; Morris et al., 1994)  Within breed differences exist for a variety of parameters and are consistent across breeds. October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary11

 Animals with faster flight times and higher pen score had phenotypically:  Lighter weaning weights  Less ADG during back grounding period (55 d)  Lighter placement weights at induction to feed yard  Less ADG, DMI (p < 0.10) (Weaber and Creason, 2007; Creason and Weaber, 2007) October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary12

 Exit Velocity (flight speed) genetically correlated with:  Feeding duration: 0.42 ± 0.26  Dry matter intake: ± 0.26 (r p = -0.35)  Residual feed intake: ± 0.45 (r p = 0)  Feed conversion ratio: 0.40 ± 0.26 (r p = 0) October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary13 Nkrumah et al., 2007

Trait Genetic Correlation w/ Flight Time Carcass Wt.0.05 Retail Yield0.11 Marbling-0.05 Shear Force-0.48 Meat Color-0.18 (Burrow, 2003)  Phenotypic correlations shown between Temperament and Production Traits: FI, BW, ADG, WBSF (Weaber et al., 2007; Curley et al., 2006; Burrow 2003)  Less desirable temperament associated with elevated stress hormones and reduced response to vaccination (Curley et al., 2006; Oliphant et al., 2006) October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary14

October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary VariableVPVP Std. ErrorVGVG h2h2 Shear Force Velocity Correlation (SE)Shear ForceVelocity 1 Shear Force-0.10 (0.20) Velocity (0.06) Genetic CorrelationPhenotypic Correlation Taxis and Weaber, Animals (n=3,042); WBSF (n=2,819); EV1 (n=917); EV2 (n=976); Pedigree (n=13,418); CG (n=176)

 Animals with poor temperament  High exit velocity (small flight time)  High chute (or crush) scores  Typically have higher  Serum cortisol (at weaning, placement in feed lot, and during feeding period) (Fell et al. 1999; Curley et al. 2006; Oliphint et al. 2006)  Higher morbidity (Fell et al., 1999)  Lower ADG (Fell et al., 1999; Nkrumah et al., 2007; Weaber and Creason, 2007)  Temperament thought to contribute to chronic stress October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary16

October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary17 Curley et al., 2006

October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary18 Curley et al., 2006

October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary19 Curley et al., 2006

October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary20 Curley et al., 2006

October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary21 Oliphint et al. 2006

October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary22 Oliphint et al. 2006

 Temperament  Negatively associated with: ▪ Handler and animal safety ▪ Growth (placement weights, ADG) ▪ Meat quality (WBSF, meat color) ▪ Immune function  Positively associated with: ▪ Metabolic indicators of stress ▪ Morbidity October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary23

Questions Thank You! October 27, 2010Session 2 - NBCEC Brown Bagger - Beef Temperament Research Summary24