Improvement of Beef Cow Biological Efficiency

Slides:



Advertisements
Similar presentations
MEAT GOAT SIRE EVALUATION TEST USING THE GROWSAFE 4000 SYSTEM David Seymour WVU Extension Agent – Pendleton County
Advertisements

Ridley Block Operations
Stephen B. Smith Department of Animal Science Texas A&M University.
West Virginia University Extension Service Genetics in Beef Cattle Wayne R. Wagner.
BEEF COW CALF & SEEDSTOCK INDUSTRY By David R. Hawkins Michigan State University.
By C Kohn, Department of Agricultural Sciences Waterford, WI
Breeds of Beef & Dairy Cattle Mrs. Gilbreath. Today you will be able to… Identify characteristics of Major Beef Cattle Breeds, Dual-Purpose and Dairy.
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.
 Beef Cattle.  In the United States there are more than 80 recognized breeds of beef cattle.
Beef Cattle – Biological Types. Biological Type ● Bos taurus vs Bos indicus ● Temperate vs Tropically Adapted ● Early vs Late Maturing ● High vs Low Maintenance.
Management and Supplementation Strategies to Improve Reproduction of Beef Cattle on Fescue John B. Hall Extension Beef Specialist Virginia Tech.
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.
Stocker Programs, Feedlot Performance and Carcass Merit Jim Oltjen University of California, Davis April 10, 2008.
1 Performance Modifiers. 2 The Problem After the realization that animals had a need for protein supplementation the livestock industry was still trying.
Evaluation of beef cow-calf nutrition in Yucatan, Mexico: MS thesis progress report Animal Science Kotaro Baba January 2006.
FEEDING TO ENHANCE LIVESTOCK PRODUCTIVITY
Matching Beef Genetics with Production Environment T. G. Jenkins and C. L. Ferrell USDA, ARS, U.S. Meat Animal Research Center Clay Center NE.
Unit 9: Dairy Cattle Feeding
BEEF CATTLE FEED EFFICIENCY: OPPORTUNITIES FOR IMPROVEMENT Dan Faulkner Department of Animal Sciences.
Beef Production. Terms to Know Polled –born naturally without horns Horned –Born naturally with the ability to grow horns….may never grow though Marbling.
Daryl Strohbehn, Ph.D. Emeritus Professor Iowa State University Bob Weaber, Ph.D. Ext. Cow-Calf Specialist Kansas State University.
Dairy Cow Nutrition Feeding ruminant animals at different life stages Julie Toth.
Breeds of Cattle.
Exploring the Beef Industry
Genetics of feed efficiency in dairy and beef cattle
Nutrition Programs for Growing Heifers José Eduardo P. Santos VMTRC.
Wuttigrai Boonkum, Ph.D Data Collecting for Genetic Improvement in Beef, Dairy cattle and Buffalo Wuttigrai Boonkum,
Ram Management November 21, 2003 Jeff Held, SDSU.
David Lalman, Megan Rolf, Robert Kropp, Mike Brown, Dillon Sparks, Sara Linneen, Alyssa Rippe.
Straightbreeding – A simple way to reduce your bottomline D. A. Daley California State University, Chico NCBCEC Brown Bagger Session October 17, 2012.
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.
DETERMINATION OF FEED ENERGY CONCENTRATION PP
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.
Nutrition and Reproduction in Beef Cows Cattlemen’s College January 29, 2003 David Lalman Oklahoma State University.
Animal and Range Sciences Feed Values for Dry Distillers Grains for Feedlot Lambs Y. Diaz.
B66 Heritability, EPDs & Performance Data. Infovets Educational Resources – – Slide 2 Heritability  Heritability is the measurement.
Fitting cows to your environment Harvey Freetly U.S. Meat Animal Research Center, ARS, USDA.
Identifying Genetic Antagonisms Megan Rolf Oklahoma State University.
Nutrient Requirements of Beef Cattle - MP 391 Overview.
SUMMER SUPPLEMENTATION: PLANT AND ANIMAL RESPONSE – A KANSAS PERSPECTIVE Lyle Lomas and Joe Moyer KSU SE Agricultural Research Center Parsons.
Selection of Breeding Program An S 426 Fall 2007.
NE for Growing/Finishing Beef Cattle NE values of feeds + feed intake can be used to: Predict amount of feed required for particular gain (programmed feeding)
Beef Cattle Production
Genetic Evaluations & Decision Support to Improve Feed Efficiency Dorian Garrick Department of Animal Sciences Colorado State University.
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.
Energy Systems for Feedstuffs Energy is the potential to do work.
Winter Supplementation Utilizing Co-Products as a Supplement on Winter Range and Crop Residue Systems Aaron Stalker University of Nebraska.
Breeding Objectives for Terminal Sires Michael MacNeil USDA ARS Miles City, MT.
Selecting Herd Bull Beef Production Game. What is the job of our bull? Produce sperm Pass on quality genetics of rate of gain, muscling, structure Physically.
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.
Pasture-Based Nutritional Considerations for Beef Cattle Lawton Stewart Grazing School May 6, 2010.
Research update Dr. Ron Lemenager Beef Extension Specialist
Heifer Development OSU Beef Team Growing Phase Lesson 4.
Importance of Beef Cattle Feed Efficiency By: Colton Turner.
Fundamentals of the Eurostar evaluations
Beef Cattle Production
Body Condition Scoring Beef Cows
Lignin Effects on Intake and Ruminal Digestion
Ulster Grassland Society
Selection Tools for Beef Cattle Improvement
Body Condition Scoring Beef Cattle
Body Condition Scoring Beef Cows. Body condition score is an indicator of stored energy reserves Fat tissue Protein tissue (muscle and organs)
Developing Heifers Earl H. Ward.
Expected Progeny Difference EPD
Wading through the confusion of EPDs and genomics
Presentation transcript:

Improvement of Beef Cow Biological Efficiency Dan Shike, PhD University of Illinois Champaign-Urbana

Why all the buzz about efficiency? Increasing world population Increased utilization of feed for fuel Increasing feed cost (including forages) Other inputs increasing in cost Fuel, transportation, fertilizer 2

Profitability Traditional focus on outputs Feed costs have historically been 50-70% of the cost of production in beef enterprises As corn prices approached and exceeded $7 per bushel, feed costs were nearly 80% of the costs in many feedlot operations in US

Feed Efficiency Feed:Gain < 2:1 < 3.5:1 > 6:1 4

Why are beef cattle less efficient? Maintenance requirements 50% of total energy expended in beef production is used for maintenance of the cow High fiber diet Rumen fermentation Bacteria produce VFA Bacteria produce methane 5

Why haven’t we made any progress? No selection for feed efficiency Why? Requires individual feeding Expensive facilities High labor requirement Lack of social interaction decreases feed intake Difficulty in defining efficient female 6

Measures of feed efficiency Feed conversion ratio (FCR) Residual feed intake (RFI) Residual BW gain (RG)

Measures of efficiency Residual Feed Intake (RFI) The difference between actual intake and predicted intake based on animal’s gain, maintenance requirements for its body weight, and composition NEGATIVE RFI IS GOOD! Required less feed then predicted Independent of growth and mature size Linked to biologically relevant traits associated with feed efficiency Digestibility, heat production, protein turnover

Measures of efficiency Residual BW Gain (RG) The difference between actual gain and predicted gain based on animals intake, maintenance requirements for its body weight, and composition POSITIVE RG IS GOOD! Gained more weight than predicted Correlated to growth

Beef cow efficiency What about cow efficiency? ~70% of feed resources for cowherd ~70% of feed for maintenance 50% OF ALL FEED TO MAINTAIN COWHERD How do we define cow efficiency? Pounds of calf weaned per cow exposed Pounds of calf weaned per cow exposed per unit of feed energy consumed What about longevity?

Efficient Cow Can you tell by looking at them?

Maintenance energy High Maintenance Cow Low Maintenance Cow High milk production High visceral organ weight High body lean mass Low body fat mass High output and high input Low milk production Low visceral organ weight Low body lean mass High body fat mass Low output and low input

Environment Restricted feed resources Abundant feed resources Favors more moderate size, moderate milk production “Low maintenance” breeds are most efficient Angus, Red Poll High maintenance breeds are least efficient Simmental, Charolais, Limousin, Gelbvieh Favors larger, heavier milking biological types “High maintenance” breeds are most efficient Simmental, Charolais, Limousin, Gelbvieh Low maintenance breeds are least efficient Hereford, Angus, Red Poll Jenkins and Ferrell, 1994

Cow efficiency research Funded by American Angus Association Post-weaning intake evaluation on replacements All females given opportunity to breed Evaluate 2-year-old cows 60 d postpartum evaluation period 2 week intake evaluation BW, body condition score, ultrasound fat, milk production 240 d postpartum evaluation BW, body condition score, ultrasound fat Repeat again as 5-year-old mature cows

Variation in cow efficiency Small Cow Big Cow Moderate Cow BW, lbs 1186 1453 1305 1307 Milk Production, lbs 15.9 22.9 17.9 20.5 BCS 5.5 6.0 DMI, lbs 56.7 45.4 54.5 35.7 Adcock et al., 2011

Correlations of heifer and 2 year-old cow traits CowL DMI CowL BW CowL Milk CowDry DMI CowDry BW Heifer DMI 0.45 -0.21 -0.17 0.42 0.09 Heifer RFI 0.20 -0.01 -0.04 0.15 0.02 Heifer RG -0.11 0.12 -0.05 0.14 CowL = Cow traits at 60 d postpartum (lactating) CowDry = Cow traits at 240 d postpartum (dry cow) Correlations in bold are significant at P ≤ 0.05

Ongoing project Intake on 486 heifers postweaning Intake on 274 2-year-old cows Intake on 34 5-year old cows 2nd year of 5-year-old cows this year Continue to evaluate fertility, productivity, and longevity

National Program for the Genetic Improvement of Feed Efficiency in Beef Cattle

Intake x Diet Is there a genetics x diet interaction for intake or RFI? Feedlot efficiency trials – high-energy, grain-based Cowherd – moderate to low-energy, forage-based Why would they be the same? Maintenance energy (heat production, protein turnover) Why might they be different? Intake regulation Grain – chemostatic Forage – fill-regulated

Forage vs. Grain 162 spring-born, Charolais-sired calves 274 fall-born, Charolais-sired calves Period 1 (half on forage; half on grain) 3 week transition / adaptation period 2 day initial and final weights (70 d test) Ultrasound 12th rib fat thickness at start and finish Weighed every 2 weeks Period 2 evaluation (all cattle on grain) 3 week transition/adaptation period Ultrasound 12th rib fat thickness

Diets Forage Grain Ingredient % of diet, DMB Husklage 47.5 Alfalfa haylage Supplement 5 NEm = 1.557 Mcal/kg NEg = 0.956 Mcal/kg Ingredient % of diet, DMB High moisture corn 20 Ground corn 30 Husklage 25 DDGS 15 Supplement 10 NEm = 2.004 Mcal/kg NEg = 1.359 Mcal/kg Target 2 lbs/d gain Target 4 lbs/d gain

Forage – Grain (spring-born) Item Forage DMI Forage ADG Forage RFI Grain DMI Grain ADG Grain RFI DMI 1 0.69 0.58 0.57 -0.09 0.26 0.00 0.51 0.01 0.13 0.21 -0.06 0.41 0.53 Correlations in bold are significant at P ≤ 0.05

Forage – Grain (fall-born) Item Forage DMI Forage ADG Forage RFI Grain DMI Grain ADG Grain RFI DMI 1 0.70 0.51 0.62 -0.29 0.15 0.00 0.40 -0.22 -0.04 0.28 0.01 0.35 0.18 0.66 Correlations in bold are significant at P ≤ 0.05

Summary Variation in feed intake and efficiency Opportunity to select for and improve Best measure / definition of efficiency? Depends if it is feedlot or cowherd Depends if it is for selection or research Need to continue to collect phenotypes Need INTAKE Understand relationships of traits Geneticists will determine best tools for selection

Questions?