Source: LANGSTON UNIVERSITY submitted to NRP
DEVELOPING A SIMPLE METHOD TO MEASURE METHANE EMISSION BY GOATS FOR ON-FARM USE
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
ACTIVE
Funding Source
Reporting Frequency
Annual
Accession No.
1030283
Grant No.
2023-38821-39946
Cumulative Award Amt.
$300,000.00
Proposal No.
2022-09874
Multistate No.
(N/A)
Project Start Date
Apr 15, 2023
Project End Date
Apr 14, 2026
Grant Year
2023
Program Code
[EQ]- Research Project
Recipient Organization
LANGSTON UNIVERSITY
(N/A)
LANGSTON,OK 73050
Performing Department
(N/A)
Non Technical Summary
The significant problem addressed in this project is climate change. Carbon dioxide is the greenhouse gas (GHG) most responsible for climate change, although methane, with its global warming potential 25 times that of carbon dioxide, makes a sizeable contribution. Ruminant animals are able to utilize feeds high in fiber through actions of anaerobic microorganisms present in compartments of the stomach. Because of the absence of oxygen, the extent of their digestion and metabolism can be thought of as being incomplete, with production of short-chain volatile fatty acids that the host animal can utilize. But, this is accompanied by production of methane that is emitted into the atmosphere. Therefore, ruminant livestock contribute to anthropogenic GHG emission and, thus, climate change. There are dietary means available to decrease methane emission by ruminant livestock, such as feeding forages high in condensed tannins, a notable example being Sericea lespedeza found throughout much of the USA. In order to assess the magnitude of impact of such interventions, a simple means of measuring methane emission under on farm conditions is needed. A hand held, portable Laser Methane Mini (LMM) analyzer is commercially available. However, its use to determine daily methane emission requires development of an equation(s) based on a well established and documented accurate means of measurement, such as an indirect open-circuit respiration calorimetry system of the American Institute for Goat Research (AIGR) in operation for more than 20 years. To develop the method(s) of prediction for the LMM, in two experiments meat goats of different ages will be fed diets varying in forage level and type in order to achieve substantial differences in methane emission. These data will be used to develop and validate a method(s) of predicting methane emission with this simple and easy to use unit suitable for measurement on farm. Subsequent projects will determine baseline methane emission on farms in Oklahoma and the region, followed by measures after interventions such as feeding condensed tannin-contain forage and enhanced diet formulation practices.
Animal Health Component
80%
Research Effort Categories
Basic
20%
Applied
80%
Developmental
(N/A)
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
3023820101050%
3073820101050%
Goals / Objectives
The objective is to develop a simple and inexpensive means of measuring methane emission by goats that can be used in subsequent projects to lessen emission on goat farms to improve levels and efficiencies of production. Based on measures of methane emission by goats of different ages and consuming diets varying in composition with both a hand-held meter and conventional stationary calorimetry system, an equation(s) for use of the meter on farms will be established and validated.
Project Methods
Two 6 × 6 Latin square experiments with 3-week periods, each with 36 animals, will be conducted. The first experiment will be with mature meat goats (i.e., Boer) and the second experiment with growing Boer goats. Dietary treatments are six levels of forage (50, 60, 70, 80, 90, and 100%) and six forage types (cool season grass, wheat; warm season grass, bermudagrass; wheat straw; alfalfa; Sericea lespedeza, 50% alfalfa and 50% lespedeza). These diets and animal types will result in appreciable differences in many measures, most importantly ruminal methane emission. In the third week of each period, animals will be placed in metabolism cages for collection of feces and urine for 5 days, along with 2 days in metabolism cages situated in a room with the stationary indirect open-circuit respiration calorimetry system used at the AIGR for well over 20 years for measurement of oxygen consumption, emission of carbon dioxide and methane, and heat energy from gas exchange. Methane emission also will be determined with a simple portable system of low cost, the A3C32Z-NE, Laser Methane Mini (i.e., LMM; Tokyo Gas Company, Tokyo, Japan). Continual measures with the stationary calorimetry system will be through standard procedures of the AIGR. Measures with the LMM will occur over 2 days while animals are in the calorimetry system, once between 09:00 and 12:00 hour and at a second time between 14:00 and 17:00 hour. The LMM measurements will be over 5-minute periods, with a recording occurring every 0.1 second. The LMM will be pointed at the snout of the animal from a distance of 3 meters so that activity is not influenced. The distance will be measured with an infrared laser distance meter. In order to fully characterize dietary effects, digestibility of dry matter, organic matter, neutral detergent fiber, crude protein, and gross energy will be determined by standard procedures of the AIGR. Feedstuffs and refusals also will be analyzed for acid detergent fiber and lignin. Intake of metabolizable energy will be estimated from digestible energy and energy losses in urine and methane. The difference between metabolizable energy intake and heat energy is recovered energy. Ruminal fluid will be sampled by stomach tube at 4 hours after feeding on day 14 of the periods for measures of pH and concentrations of ammonia nitrogen and volatile fatty acids. Data of individual experiments will be analyzed via mixed effects models and period as a repeated measure. Models will contain main effects, subplots, and their interactions. Means will be separated by least significant difference with a Protected F-test. To develop an equation(s) for predicting daily methane emission from measures with the LMM, procedures such as polynomial regression will be used, with consideration of potential for significant curvilinear relationships (e.g., quadratic, cubic, quartic). The 432 observations will be split into a dataset for equation development and another for equation evaluation (i.e., validation). Information will be disseminated through abstracts and presentations given at meetings of scientific societies such as the American Society of Animal Science, articles in peer-reviewed scientific journals, and extension publications.

Progress 04/15/24 to 04/14/25

Outputs
Target Audience:The target audience for this research includes agricultural scientists, livestock producers, environmental scientists, and technology developers. Agricultural scientists and researchers can leverage the findings to enhance livestock management practices and reduce the amount of energy lost as methane during feed digestion in ruminants. Livestock producers, especially those involved in goat farming, will benefit from practical, cost-effective strategies for monitoring and mitigating metabolizable energy loss as methane, ultimately improving productivity and efficiency.Environmental scientists and policymakers can use the data to develop comprehensive strategies aimed at reducing methane emissions. Additionally, technology developers can apply these insights to design and optimize advanced methane detection equipment for on-farm use, promoting greater farm sustainability and profitability. Changes/Problems:Due to supply chain shortages and the wait period for new and improved laser spectrometry methane detection equipment, we experienced a delay in starting the experimental activities. However, this delay has not impacted the overall execution of the project. In fact, it is believed that waiting for the advanced detection equipment will enhance the quality and impact of the research.The advanced technology will provide more accurate and reliable data, making the research even more valuable in understanding and partitioning metabolizable energy to increase production efficiency in small ruminants. This improvement in data quality will significantly contribute to the robustness and applicability of our findings, ultimately benefiting the broader scientific community and industry professionals. What opportunities for training and professional development has the project provided?Langston University students and participating personnel gained invaluable hands-on experience and practical knowledge through their involvement in the research project. They actively engaged in various stages of the research process, including data collection, analysis, and interpretation. This comprehensive involvement significantly deepened their understanding of animal science and nutrition.Moreover, the participants had the unique opportunity to work with advanced technologies such as methane-specific laser spectrometry and cloud data handling. This exposure not only enriched their academic learning but also equipped them with essential skills and knowledge for their future careers in agriculture and research.Overall, this experience was instrumental in bridging the gap between theoretical knowledge and practical application, thereby preparing the students and personnel for successful professional endeavors. How have the results been disseminated to communities of interest?The primary beneficiaries of the dissemination of this research are the students who gained familiarity with modern technology used to estimate and potentially mitigate methane emission in small ruminants. Through this research, they developed a deeper understanding of the practical applications of these technologies in addressing energy metabolism in small ruminants.The findings from this research will be showcased at several events, including the annual American Society of Animal Science (ASAS) meetings in Hollywood, FL, the annual Small Ruminants Conference at Langston University, and the National Goat Conference. These presentations will not only highlight the innovative work conducted but also provide the students with valuable opportunities to engage with the broader scientific community, share their insights, and receive feedback from experts in the field.Overall, this experience has been instrumental in preparing the students for future careers in agriculture, environmental science, and research, equipping them with the skills and knowledge necessary to contribute to sustainable solutions for climate change. What do you plan to do during the next reporting period to accomplish the goals?The animal experimentation initiated in the current phase will continue and expand to include different breeds, ages, and types of small ruminants. This ongoing research aims to provide a comprehensive understanding of methane emissions across various ruminant populations.A key component of this research is the dissemination of findings. Efforts will be made to share the results with the scientific community, industry professionals, and the public. Equally important is the focus on student training. Students will gain hands-on experience with advanced technologies and methodologies, enhancing their practical knowledge and preparing them for future careers in agriculture, environmental science, and research.These training opportunities will not only enrich their academic journey but also contribute to the development of skilled professionals capable of addressing sustainability and productivity in small ruminant production.

Impacts
What was accomplished under these goals? A study was conducted to evaluate the effectiveness of a laser methane detector (LMD) for measuring methane emissions from growing Spanish goats on different diets. The objectives were to assess a simple and cost-effective method for on-farm methane measurement using a portable LMD and to develop prediction equations for estimating methane production on goat farms. The study involved 36 growing Spanish goats in a 6 × 6 Latin Square design, with six 3-week periods preceded by 2 weeks of adjustment. In Latin Square experiments, each animal undergoes each treatment in different periods, serving as its own control. This design reduces the number of animals needed for statistical power compared to completely randomized designs. The diets, based on six different forages and dietary supplements, were formulated to produce varying levels of methane emissions. During weeks 1 and 2 of each period, the goats were housed individually in 1.23 × 1.23 m pens with elevated, plastic-coated expanded metal floors. In week 3, they were placed in metabolism cages for 5 days to collect feces and urine, followed by 2 days in a respiration calorimetry system to measure oxygen consumption, carbon dioxide and methane emissions, and heat energy from gas exchange. Methane emissions were also measured using the LMD for 2 days: once in the metabolism cage and once in the calorimetry system. The LMD recorded CH4 emissions every 0.1 seconds, totaling 3000 records per 5-minute measurement, with a 2-minute break between measurements. To fully characterize the dietary effects on methane emissions, the digestibility of dry matter (DM), organic matter (OM), neutral detergent fiber (NDF), crude protein (CP), and gross energy (GE) was determined for hay, concentrate, and fecal samples according to standard laboratory procedures. Additionally, acid detergent fiber (ADF) and acid detergent lignin (ADL) were analyzed for hay samples. Urinary energy was estimated based on previous research to determine metabolizable energy (ME). Using a database of 80 treatment means from 466 individual animals across 16 publications, the energy lost through urine was calculated to be approximately 0.54 MJ/day (3.5% GE or 5.2% DE). Recovered energy was calculated as the difference between metabolizable energy intake and heat energy, with heat energy determined using Brouwer's (1965) equation from O2 consumption and CO2 and CH4 production. Prediction equations for estimating methane emissions using the Laser Methane Detector (LMD) are currently under development. The equations being tested involve using the highest measurement values, average values, and the area under the curve. These values are then compared to methane amounts determined through continuous measurements in indirect calorimetry.

Publications


    Progress 04/15/23 to 04/14/24

    Outputs
    Target Audience:The primary target audience for findings of this project are animal science researchers using this or similar equipment systems. Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided?Undergraduate students and a visiting scientist have been working on the project and receiving training in the daily operation, maintenance, and data handling and management. The project has provided opportunities for learning of maintenance, calibration, gases recovery, and control of the indirect calorimetry systems and cloud data transfer and manipulation using Laser Smart analyzer. How have the results been disseminated to communities of interest?Demonstrations and hands of experience for Animal Science undergraduate students. What do you plan to do during the next reporting period to accomplish the goals?As discussed above, animal experimentation will start next month.

    Impacts
    What was accomplished under these goals? Because the methane analyzer manufacturer announced a new and improved model, we decided to purchase a new model - Methane Laser Smart analyzer. Due to production delays the purchase was completed 3 months ago. In the meantime, we prepared experimental proposals and organized all the equipment needed complete experiments investigating relation between methane emission measured using indirect calorimetry and Methane Laser Smart analyzer. The indirect calorimetry system was tested, and the animal room was rearranged to accommodate simultaneous measurements using Sable MA 10 and Laser Smart equipment. Currently, initial data is used to determine most appropriate ways to transform output from Methane Laser Smart to achieve most accurate estimates of methane emission.

    Publications