BEEF CATTLE FEED EFFICIENCY: OPPORTUNITIES FOR IMPROVEMENT Dan Faulkner Department of Animal Sciences We have done a good job of selecting for outputs. WHAT ABOUT INPUTS? Feedlot Profit Model (Quality Grid) Variables MS HCW2 G:F YG2 MS2 YG G:F2 HCW Partial R2 0.2456 0.1703 0.1287 0.0639 0.0625 0.0562 0.0153 0.0097 Other 25% MS 31% YG 12% G:F 14% HCW 18% Why Efficiency is Becoming More Important • • • • Decreasing acres for crop production Increasing world population Increased utilization of food for fuel Increasing feed cost (including forages) • Other inputs increasing in cost (fuel, transportation, fertilizer) Feed Cost Represent 65-70% of Beef Production Costs A 1% improvement in feed efficiency has the same economic impact as a 3% improvement in rate of gain On a feed:gain basis, beef cattle are least efficient compared to other livestock < 2:1 < 3.5:1 > 6:1 Poultry Improvement 250% improvement in efficiency since 1957 Why are beef cattle less efficient? • Feed higher fiber diets Why are beef cattle less efficient? • No selection for feed efficiency • Why? – – – – Individual feeding Expensive facilities High labor requirement Lack of social interaction decreases feed intake – Difficult to compare at similar body compositions Combining the GrowSafe and Ultrasound technologies allows feed efficiency comparisons at different endpoints • Endpoints: – – – – – Weight Backfat Marbling Age Time on Feed Risks of selecting for Feed:gain • Selecting for F:G – Increase cow size – Increase leaness – Increase feed intake resulting in decreased digestibility, increased organ weights, and increased heat increment Net Feed Efficiency (Residual Feed Intake) Is the difference between an animal’s actual feed intake and expected feed intake based on its size and growth over a specific test period Is moderately heritable (0.30 – 0.45) and may reflect an animals maintenance energy requirement Is independent of body size and growth rate Selection for RFI will: • Not effect rate of gain • Not effect animal size • Reduce feed intake by 1012% • Improve F:G by 9-15% Processes for Variation in Feed Efficiency • Feed consumption • Feed digestion and associated energy costs • Metabolism • Activity • Thermoregulation Genetic of RFI • There is genetic variation in RFI and it is moderately heritable • Progeny of cattle selected for low RFI consume less feed at the same level of growth • On low quality pastures, cattle selected for low RFI will exhibit higher growth rates • Low RFI cattle remain efficient throughout their life • Low RFI cattle have a strong genetic correlation only with feed intake • Genetic improvement in feed efficiency can be achieved by selection for low RFI Review by Paul Arthur Why are the opportunities to improve feed efficiency greater now than ever before? • GrowSafe system • Ultrasound • Net Feed Efficiency Angus Project • High use Angus Bulls bred to commercial SimAngus cows • Goal of 15-20 progeny per bull • Complete measurements • Heifer mates evaluated on a high forage diet Data Collected • All standard performance information • Individual feed intake, efficiency and RFI • All standard carcass measurements • Serial ultrasound and hip height • Chute exit speed (behavior) • DNA (blood) collected on every animal 2007 Study • • • • Three diets varying in starch level Early weaned calves (85 days) Base price $83.35 Five year average grid Feedlot Performance Sire RFI F/G DMI ADG No. A -.58 4.53 17.9 3.95 23 B -.42 4.65 18.2 3.91 19 C -.10 4.42 17.8 3.85 17 D .10 4.78 18.1 3.78 27 E .12 4.74 17.7 3.73 23 F .95 4.96 17.9 3.61 18 Carcass Data Sire HCW Value $ REA BF Marb A 835 1144 14.5 .61 547 B 866 1226 13.9 .61 586 C 821 1174 14.0 .59 608 D 833 1231 14.8 .68 622 E 789 1122 13.6 .73 612 F 772 1078 13.6 .59 579 Comparing RFI Sire Grain RFI Forage RFI A -.58 -.18 B -.42 -.03 C -.10 -.46 D .10 .44 E .12 .29 F .95 .00 Angus Bulls (2008 data) Feedlot Performance Sire A RFI -1.18 F/G 4.86 DMI 20.9 ADG 4.30 No. 5 B -0.98 5.45 21.0 3.85 4 C -0.90 5.20 22.3 4.31 8 D -0.69 5.26 21.7 4.15 7 E -0.55 5.20 22.0 4.24 9 F -0.27 5.28 22.7 4.30 15 G -0.18 5.20 24.5 4.73 8 H -0.16 5.48 23.0 4.23 7 Feedlot Performance Sire I RFI -0.10 F/G 5.32 DMI 23.0 ADG 4.36 No. 8 J 0.02 5.36 23.4 4.38 11 K 0.13 5.31 22.8 4.30 20 L 0.13 5.29 22.1 4.18 10 M 0.38 5.33 23.7 4.44 11 N 0.63 5.59 23.3 4.20 3 0 0.74 5.50 23.7 4.32 8 P 0.85 5.61 23.6 4.24 12 Carcass Data Sire A HCW Value $ 786 996 REA 12.2 BF 0.66 Marb 540 B 797 968 12.9 0.64 480 C 850 1039 12.5 0.75 583 D 808 1003 12.4 0.66 589 E 814 1031 12.1 0.73 671 F 836 1054 12.4 0.66 632 G 915 1109 13.5 0.72 621 H 848 979 11.4 0.74 552 Carcass Data Sire I HCW Value $ 838 969 REA 11.6 BF 0.76 Marb 595 J 857 1031 12.1 0.79 658 K 817 960 11.7 0.77 523 L 785 992 12.3 0.63 595 M 847 1090 13.2 0.69 613 N 823 1000 12.3 0.66 515 O 834 1021 12.3 0.82 649 P 823 993 12.2 0.71 568 Comparing RFI Sire No. on Grain 5 A 4 B 8 C 7 D 9 E 15 F 8 G 7 H Grain RFI -1.18 -0.98 -0.90 -0.69 -0.55 -0.27 -0.18 -0.16 Forage RFI -.12 -.33 .88 -.28 -.35 .78 -.38 -.52 No. on Forage 4 12 2 7 8 8 8 4 Comparing RFI Sire No. on grain 8 I 11 J 20 K 10 L 11 M 3 N 8 O 12 P Grain RFI -0.10 0.02 0.13 0.13 0.38 0.63 0.74 0.85 Forage RFI .38 .93 -1.06 .18 .21 .03 -.47 .61 No. on Forage 10 12 12 4 5 5 5 4 Forage Intake • Measure voluntary forage intake of purebred heifers as cows (5 two week long observations throughout the yearly cycle) • Relate this to RFI on forage as heifers and to RFI of steer mates Variation in Heifer Intake • T008 weighed 1360 lbs and ate 38.3 lb/d (2.8% BW) • T032 weighed 1357 lb and ate 53.5 lb/d (3.9% BW) • T073 weighed 1359 lb and ate 30.1 lb/d (2.2% BW) • T007 weighed 1529 lb and ate 47.5 lb/d (3.1% BW) • T106 weighed 1020 lb and ate 48.6 lb/d (4.8% BW) Assessment of US Cap and Trade Proposals MIT Joint Program on the Science and Policy of Global Change Paltsev et al., 2007 (Report No. 146) Proposals There is a wide range of proposals in the US congress that would impose mandatory controls on green house gas emissions yielding substantial reductions in us greenhouse gas emissions relative to a projected reference growth. The scenarios explored span the range of stringency of these bills. Pricing of CO2 Equivalents (metric ton) Economy wide Cap – In 2015 prices for three cases are $18, $41 and $53 – In 2050 prices for three cases would reach $70, $161, and $210 Agricultural, Households, Services excluded – In 2015 prices for the three cases are $14, $31 and $41 – In 2050 prices for the three cases would reach $54, $121, and $161 Three Ways to Reduce Methane Emissions From Beef Cattle • Manipulate the diet • Use genetic selection to improve efficiency • Reduce the life cycle of the animal Dietary Factors • • • • Level of feed intake Type of carbohydrate in the diet Feed processing Adding lipid to the diet (Alberta Protocol) • Alterations of rumen fermentation with products like ionophores Level of Intake • Higher the level of intake higher the rate of methane production – Limit feeding – Programmed feeding – RFI – Manure production is related to intake Type of Diet • High grain diets produce less methane • High forage diets produce more methane Feed Additives to Reduce Methane • Ionophores – Not a change in practice for the feedlot industry – Could be a change for the cow/calf industry • Essential Oils (Calsamiglia et al., 2007 JDS) Genetic selection to Improve Efficiency RFI on Methane Production • Ten high and low RFI steers were selected out of 76 steers to evaluate Methane production • Steers with the lowest RFI emitted 25% less methane daily • When expressed per unit of ADG the reduction was 24% Hegarty et al., 2007 RFI on Methane Production • Twenty seven steers were selected out of 306 based on their RFI (high, medium and low) • Methane production was 28 and 24% less in the low RFI animals compared with high and medium RFI animals Nkrumah et a., 2006 Bull Selection for RFI • Using high efficiency bulls will allow producers to capture carbon credits • Initially direct measurement of bulls will be the only means of evaluating efficiency • Breed Associations are currently compiling information on feed intake and efficiency of bulls and may develop EPD in the near future Reduce the Life Cycle of the Animal • This has the largest potential reduction in methane production Beef Life Cycle (Alberta Protocol) • Beef cattle in Canada are slaughtered at 18 months of age (range of 14-21 months) • Must prove that a change has occurred (reduced age) relative to practices in the baseline (before project) conditions Challenges • Size of cow/calf operations • Documenting ration changes • Documenting baseline data Days on feed (Alberta Protocol) • Must prove that a change has occurred (less days) relative to practices in the baseline (before project) conditions • Attained by placing heavier cattle • This system actually increases methane emissions throughout the life cycle (but reduces methane in the finishing as documented) Methods to Reduce the life Cycle • Creep feeding • Early weaning • Feeding higher energy diets – Reduces intake which decreases methane production – High concentrate diets reduce methane production – Increases rate of gain (reduced age at slaughter) Verification • Independent third party verification will be required to generate carbon credits • Process verified programs could expand to fill this role • Entities to aggregate and market the credits will need to be developed • Potential returns are large • Producers need to document current Other Related Carbon Credit Sources • • • • Anaerobic digesters Rangeland management Manure reduction No-till Value of Credits • Unlike land based carbon credits which are stored in the soil and are reemitted with practice change, those generated from cattle are permanent • Larger amounts of credits are worth more per unit – Advantage for large operations like feedlots Conclusions • There is potential to create carbon credits through beef production practices • There are challenges in documenting the changes, aggregating the credits and marketing the credits • Potential returns are large • It is important to document current production practices Questions?