Low-carbon feed trial results do not necessarily translate into outcomes or returns of the same magnitude on actual farms. To assess methane-reducing feed additives, distinguish controlled-trial efficacy, effects under field conditions, and farm economics. Chapter 6 of Technology and Solutions for Demonstrating Carbon Reduction connects these three questions without treating one as a substitute for another.
Define the Concept and Scope of Application First
Farm application data should cover how long efficacy lasts and the actual feeding conditions. Rather than applying short-term trial results directly to long-term use, assess changes in efficacy, safety, and productivity together. The treatment of periods when use is interrupted also matters. When combining different reduction measures, their effects should not simply be added together. Their mechanisms may overlap, or feeding conditions may differ. Check the evidence for each product and the conditions for combining them to assess the scope of reductions a project can claim.
3-NOP is a feed-additive approach that inhibits an enzymatic reaction involved in methane production. Explaining its mechanism of action is distinct from confirming the effects under actual feeding conditions. Results may vary with dosage, feed composition, intake, and production stage, so read the trial conditions alongside the results. Determine the scope of application only after reviewing permitted conditions of use and the evidence on safety and productivity.
The implication for policy design is clear: trial efficacy should not be used as the policy compensation rate without adjustment. Measure feeding continuity, build a distribution of effects across domestic conditions, and raise compensation and claims incrementally as the evidence base grows.
Productivity: weight gain, feed efficiency, milk yield, and reproduction rates. As discussed in Chapter 5, energy that would otherwise be lost as methane may instead be converted into production, potentially improving these measures; however, they may worsen if fermentation is inhibited. Measurement is needed, not theoretical expectations.
Regulatory approval is the formal process for reviewing these items. The U.S. FDA Center for Veterinary Medicine reviewed 3-NOP for use under specific conditions, and the EU set out approval conditions through an implementing regulation. What must be read here is not simply the fact of approval, but its scope. Approval documents specifically limit the target species, growth stage, feeding dosage, feeding method, and labeling requirements.
After product recognition, examine its effects and conditions of use on actual farms. Check whether the evidence accepted for recognition is the same as the evidence needed for policy compensation; if it differs, supplement it with activity data or additional field trials.
Verra’s VM0041 and Gold Standard’s methodology for feed supplements for beef cattle set out conditions for quantifying feed-additive-based reductions in enteric fermentation under their respective programs. Even readers who do not plan to issue credits can learn what evidence a reduction claim requires by comparing scope, trial data, and monitoring requirements. However, a methodology from an individual program should not be interpreted as a universal requirement across all systems.
Records for feed-additive-based reductions should connect purchasing and delivery with mixing and actual feeding. They should make it possible to determine which product was used with which herd and when, including any periods when use stopped. Confirmation of actual feeding and the evidence supporting the reduction factor are different kinds of data and should be managed separately. The fact that records were kept does not, by itself, establish a quantified reduction for that farm.
Conditions and Limits in Field Application
Suppose a farm plans to adopt a product whose effects were confirmed under trial conditions. The species, growth stage, feed composition, and feeding method may differ from those in the trial. Alongside the product price, consider labor for feed mixing, recordkeeping burdens, and changes in health and productivity. Decide whether to adopt only after checking evidence that fits the conditions of use.
A study analyzing income over feed cost for 3-NOP supplementation under U.S. dairy conditions concluded that, even when reductions occur, returns after feed costs may decline, making a separate incentive potentially necessary.
Even if less energy is emitted as methane, that energy is not necessarily converted directly into weight gain or feed-cost savings. Fermentation pathways, hydrogen disposition, intake, and changes in productivity should be observed together. Improved feed efficiency is a potential benefit to verify under specific conditions; it cannot be calculated as a substitute for the additive’s reduction rate.
For domestic application, prioritize data that match the species, growth stage, feed composition, and feeding period. Include cases where improvement is small or absent and where productivity worsens. Do not extrapolate the average from favorable trials directly into annual returns.
Evidence Needed for Investment Review
Investors should ask for data on effects and additional costs under different conditions, rather than a single reduction rate. Product recognition and a farm’s eligibility for performance-based compensation are also separate judgments. As sales grow, a deployment plan becomes an operating plan only if it explains how actual use and recordkeeping will be maintained.
Changes in feed efficiency and productivity can affect farm economics. Results from domestic Korean cattle studies, too, should be interpreted within their species, growth stage, trial period, and feed conditions. Do not use values from a particular trial as annual benefits for all farms; calculate returns even when effects are small or absent.
Registration of a national factor is one usable form of evidence, not a sufficient condition for replacing public expenditure. Confirm how the technology’s effect and deployment and feeding data are reflected in the relevant accounting system, and which expenditures can actually be reduced. While these conditions remain unconfirmed, design support for additional costs and trial budgets separately, and do not count avoided expenditure as a confirmed benefit.
Disclose results that are small or negative as well. Such results do not, by themselves, justify increasing the support rate. Compare changes to dosage or feeding methods, switching to another technology, changing support conditions, and ending the project. Consider expansion only when verified public benefits and cost-effectiveness justify additional support.
Criteria to Keep in View
The competitiveness of a feed technology is not established by efficacy alone. Examine whether it can be used repeatedly under conditions that include safety, productivity, supply continuity, and verification costs. Evidence explaining adoption in the field provides a basis for assessing the business case.
About the Author
Bongjun Lee graduated from the Graduate School of Management of Technology (MOT) at Sogang University. He spent seven years at Infitron Co., Ltd. and 20 years at Honeywell, working for a total of 27 years in gas measurement in service engineering, technical sales, and channel management. He is now the founder of AI Safety Korea Co., Ltd., where he is researching livestock methane monitoring and measurement, reporting, and verification (MRV) systems using sensors, AI, and data analytics.