Name State Institution email
Brent Auvermann Texas Texas A&M AgriLife b-auvermann@tamu.edu
Kenneth D. Casey Texas Texas A&M AgriLife kdcasey@ag.tamu.edu
John J. Classen North Carolina N.C. State Univ. john_classen@ncsu.edu
Erin L. Cortus South Dakota South Dakota State U. erin.cortus@sdstate.edu
Shannon Creason North Carolina N.C. State Univ. sbcreaso@ncsu.edu
Robert E. DeOtte Texas West Texas A&M Univ. rdeotte@wtamu.edu
Ron Lacewell Texas Texas A&M AgriLife r-lacewell@tamu.edu
Brooke Latack Michigan Michigan State Univ. latack@msu.edu
Zifei Liu Kansas Kansas State Univ. zifeiliu@ksu.edu
Deanne Meyer California UC Davis dmeyer@ucdavis.edu
Jactone A. Ogejo Virginia Virginia Tech arogo@vt.edu
Wendy Powers Michigan Michigan State Univ. wpowers@msu.edu
Amy M. Schmidt Nebraska U. of Nebraska-Lincoln aschmidt@unl.edu
Steven Safferman Michigan Michigan State Univ. steves@msu.edu
Jovana Vukovic Texas West Texas A&M Univ. jvukovic@wtamu.edu
2015 S1032 Annual business meeting minutes
Date: June 3, 2015 at 11:00 am
Location: Brody Hall, Michigan State University, East Lansing, MI
Agenda:
1. Review of 2015 annual meeting
2. Membership listserv- updating and keeping current
3. MSU Adobe Connect site retirement
4. Webinars
5. Election of officers
6. 2016 annual meeting location
A. Review of 2015 annual meeting
• Meeting location and available facilities were great and worked well
for the planned activities.
• A total of 15 participants attended. Attendance by all registered
members would be desirable.
• Ron Lacewell noted that the deadline for submitting the S1032 annual
report was 90 days after the meeting date. The report should include:
minutes of the business meeting; attendees with e-mails and location;
brief annual progress report; and impact statement(s).
B. Membership listserv – updating and keeping it current
• Current listserv includes people who have retired and others who have
not attended the annual meetings and submitted state reports in a long
time. After discussions the group recommended that Jactone (secretary)
and Deanne (chair) work with Dr. Lacewell to identify listed
participants who have retired and those who have not submitted state
report for the last 2 years. Dr. Lacewell to follow up with the
identified participants about their interest and continued
participation on the project.
C. MSU Adobe connect
• MSU will discontinue the use of Adobe connect effective June 30, 2015.
Need to identify how to download and store S1032 recordings on Adobe
connect. Desire to keep recordings for a year. Brent will check
AgriLife for availability of space to store recordings.
• MSU is moving to a new program called Zoom Pro. It provides unlimited
time per session with up to 25 participants. Higher versions are
available to accommodate more participants – but there may be charges
for use. Can see all participants and also record and remove within 30
mintes.
• Need to decide on Zoom or WebEx for coming webinars.
D. Webinars
• Webinars identified as a platform for continued discussions on how to
encourage/engage others to participate in project. Webinars should
cover topics focused on modifying/clarifying the CLD to make it
relevant and realistic to participants work. Need to make it clear that
the CLD is a schematic to show our collective work. Although
incomplete/work in progress, we need to document what we think we know
or what we know to the best extent possible. This could be done through
examples including: identification of problems/individual stories
should be encouraged; use to serve as guidance for technology
development; have individuals identify the connection/species/scope;
what research is needed to impact the system; arrangements of nodes and
loops that give rise to predictable behavior; identification of change
of parameter/node may or may not impact behavior since the structure is
dominant in some cases. The schedule for the webinarand the topics to
be covered for the coming year are listed below. All webinars will be
conducted at 2 PM EST (11 am PST; 1 pm CST)
- August 28, 2015. Describe social science interactions with the S1032
group. John Classen to lead and work with Jovana Vukovic and Ed Kick
on developing the story line to guide webinar. Expand the population
node to identify relevant variables. Map and describe the storyline
from a social scientist point of view.
- September 25, 2015. Focus on the manure value node (R10). Eric
Cortus and Amy Schmidt to develop and lead the seminar.
- October 23, 2015. Focus on data set/management based on White et al.
(2013) – computers and electronics in agriculture paper. Wendy
Powers to lead effort. Consider inviting Gerrit Hoogenboom (one of
the paper authors) to present. Jerry Hartfield also identified as a
potential presenter.
- January 22, 2016. Webinar to follow up on October presentation.
Groups working on selected nodes to provide/share updates on
progress.
- March 25, 2016 at 2 pm EST. To focus on agronomy/soil science. Need
to identify presenter(s)
- May 27, 2016 at 2 pm EST. Open, close to annual meeting dates
• Expectations of the lead person: Contact speakers, define what the
speaker is being asked to do, introduce the speakers and manage time
during webinars, and write up the summary for the webinar.
• Templates for flyer for the webinar announcement to be developed
(Deanne Meyer). Also needed is a template for the summary of webinars.
• Need a volunteer to lead the data management effort.
E. Election of officials
• John Classen nominated Erin Cortus for secretary. Auvermann seconded.
Erin elected as secretary (unanimous vote).
• Officials for 2015/2016: Chair - Luis Rodriguez; Vice chair – Jactone
A. Ogejo; Secretary – Erin Cortus; Past chair – Deanne Meyer.
F. 2016 annual meeting location and planning
• Meeting location and date: Raleigh, NC, May 23-25, 2016.
• Planning committee: Brent, Zifei, Jovana, John, Luis, Erin
Meeting was adjourned at 11:30 am
The accomplishments (collective and state based) for this reporting period are listed by the projects three objectives below. The participating states and respective principal investigators (PIs) are listed in Table 1.
Objective 1: Engage collaborators from needed broad range of disciplines, institutions, and stakeholder groups to catalyze conceptual and quantitative synthesis, collaboration, and data sharing.
Planned activities to accomplish this objective include: create more learning and idea generation opportunities by increasing regular interactions among project participants using webinars and annual meeting format that allows structured analysis and discussions to achieve the goals of the group. Project participants completed the activities listed below towards this objective.
• Hosted two group webinars to continue discussions to enhance our understanding of the causal loop diagram (CLD) is an attachment to the minutes and available from Lacewell (r-lacewell@tamu.edu), brainstormed topics and abstracts to collectively prepare for the Collaborative Modeling conference held at Michigan State University in June 2015, discussed USDA NIFA and other funding opportunities relevant to the group. The group led by Meyer (chair) prepared and submitted a $4,000,000 proposal to the USDA-NIFA Coordinated Agricultural Program.
• Structured the 2015 annual meeting agenda to a group discussion focus. The three discussion topics included: review of March 26, 2015 webinar content that centered around B14 node/loop of the CLD and heard examples from other project participants directly working on constructing the CLD or portions of it; developing data structures and data units using information presented in White et al. (2013)[Integrated description of agricultural field experiments and production: The ICASA Version 2.0 data standards]. Computers and Electronics in Agriculture 96:1-12 as guide; and how to use webinars more effective as a group to advance our course.
• Several participants attended conferences held by other professional societies (such as Ecological Society of America meetings, a Collaborative Modeling conference held at Michigan State University) to grow/seek new disciplines to contribute to our network of collaborators. This resulted in identification of potential new project participants and collaborators (including sociologists, community leaders, systems analysts, and dynamic modelers) for future grant opportunities. These disciplines would build on the skills of current membership.
• Some members’ sought collaborators working on/or associated with sustainability of agricultural production, especially for animal agriculture. Various governmental agencies (USDA, EPA, and National Library, non-profits such as Field to Market and other NGO's plus commodity groups. Building networks where information and data can be shared will provide a strong baseline of materials from which inferences and concepts can be developed and implemented.
• Engaged a number of outside groups and agencies including the USDA Climate Hubs concerning our efforts to build capacity for providing education programs and material on climate change and animal agriculture.
Table 1. Project participants by state, CLD nodes relevant to their work, and data or resources available to share
State Name CLD – Node/Loop Data/Resources
Arkansas Jun Zhu B14, B19, B15
California Deanne Meyer R10, B11, B12,
B13, B14, B15,
B19, R18 Lagoons, feed, solid separation,
biodigesters
Ruihong Zhang
Idaho Lide Chen B13, B15, B19 Biodigesters, air quality
Illinois Luis F. Rodriguez
Xinlei Wang
Indiana T. Applegate
Iowa Jacek A. Koziel B14, B15, R10,
B11, B12
Kansas Zifei Liu B15, GHG VEB, UV to reduce air pollutants
Kentucky Joseph Taraba
Michigan Steven Safferman B14, B15, B18,
B19 Biodigesters, biomass feedstock
Wendy Powers B14, B15, B21,
B26, R10, R25 Feed, production, excretion, pasture
+ soil GHG
Minnesota Kevin Janni R18, R19, B15
Larry Jacobson R18, B19, B15,
GHG
Mississippi John Schneider
Nebraska Amy M. Schmidt R10, B14, B16 Soil health; fate of nutrients, AMR
bacteria, steroid hormones
North Carolina Edward Kick R28, B21, B19
John J. Classen R28, B12, B13,
B15, B26, B29,
B30 Ammonia recovery, characteristics of
scraped manure
North Dakota Shafiqur Rahman
Ohio Lingying Zhao
Oklahoma Miyun Kang
Paulette Hebert
South Dakota Erin Cortus R10, B11, B15,
GHG NAEMS data, Confined beef cattle
facility emission data, bedded
manure packs
Texas Brent Auvermann All; B26, R10,
B14, B15, B17,
R18, B19 Land application of manure; dust,
visibility, and bioaerosols; human
health; antimicrobial resistance;
Stella/Vensim models; beef LCA;
biofuel feedstock characterization;
compost characterization
Kenneth D. Casey B14, B15, B17,
GHG
Robert E. DeOtte B14,
Food Security Data on water conservation in meat
packing plants, results of workshops
on secure beef cattle production,
biosecurity plans and continuity of
operations plans for beef cattle
production.
Marty Rhoades
Jovana Vukovic
Virginia Jactone A. Ogejo B13, B14, B15,
B19 Lagoon, biodigesters
The base causal loop diagram (CLD) is applied to facilitate organization, synthesis, and integration of component-based research findings and supporting data. This is the basis of S-1032. The CLD is available from Lacewell (r-lacewell@tamu.edu). It is required to interpret Table 1 information.
Objective 2. Facilitate organization, synthesis, and integration of component-based research findings and supporting data.
The underlying premise of this objective is that project participants collaborate or work together in teams to build a component(s) of the relational aspects of animal protein production presented in the CLD. Participants will make/share data available to support the CLD work via a publicly accessible database. Planned activities to meet this objective include: (1) identifying the types of data participants have or being generated in their current work and (2) designing and hosting a publicly accessible database for sharing project data by participants to facilitate development/integration of system components outlined in the CLD (figure 1). The accomplishments towards achieving this objective include:
• Project participants identified the relevant nodes relevant to their work and also indicated sets of data they have available to share as listed in table 1.
• Form groups using the self-identification and to refine and construct the CLD.
Some examples of specific data available and/or current research activities by project participants to generate data for potential use in completing the CLD are listed below.
Arkansas: working on node B19 of the CLD on the use of renewable energy. They will generate data to develop a cost effective advanced anaerobic digester system that uses dry poultry litter as feedstock.
California: working in the areas of conversion of feed nutrients to product (salt sequestration), technology evaluation for nutrient relocation, environmental regulations, and biodigesters. Some data available to share include: Pond data—multiple locations/depths/sampling events TS, VS, Redox, EC, Temp, and pH;
nutrient application to fields—wastewater application rates macro nutrient analyses (not sulfur); feed inventory analyses on commercial operations/milk exports animal exports (micro some micro analyses); solid separation (influent and effluent and particle size quantification of TS and VS), settling basins, and other separation devices; total collection data (calves, heifers, dry cows, lactating cows, goats) used for ASABE D384.2; ammonia and PM analysis in conjunction with dust control; and pharmaceuticals.
Iowa State: collecting data using wet scrubber and advance oxidation technologies to mitigate particulate matter, odor, volatile organic compounds, ammonia, and hydrogen sulfide emissions from livestock operations. Their work focuses on the confluence of B14, B15, R10, B11, and B12 nodes of the CLD.
Idaho: Working on mitigating gas emissions from swine facilities and manure application land. Two wood bark based down flow biofilters have been built and demonstrated at a commercial swine nursery barn for their efficiency on reducing odor and gas emissions. They have also demonstrated dairy manure land injection technique for reducing ammonia emission and retaining nitrogen fertilizer value in soils.
Kansas: Data on vegetative environmental buffers and photocatalytic technology using UV/TiO2 technologies to mitigate air emissions from swine facilities. Meta-analysis data on enteric methane emissions and ammonia emissions from beef and dairy cattle operations.
Michigan: (1) Project participants Powers and Safferman and Auvermann (participant from TX) teamed up in August 2014 and initiated an M.S. program for a student to develop a portion of the CLD based on swine data collected by Powers. Their goal is to advance this work to a PhD program whereby Objective 3 goals will be included. In addition, Powers has data that could be used to further develop the CLD for a beef system that considers animal performance efficiency and resulting broader impacts on environmental metrics. (2) Safferman developed decision support tools to convert animal waste into a resource. Three tools - Michigan Waste Biomass Inventory to Support Renewable Energy (Inventory) maps organic wastes in the state of Michigan and conduct preliminary energy modeling, Anaerobic Digestion Development Iterative Tool, and the Combustion Renewable Energy Development Iterative Tool to model the economic, renewable energy production, and greenhouse gas emissions reduction from using organic residuals from farms are publically available, at no charge.
Minnesota: Completed a studies that measured the impact of renewable (geothermal) energy in swine grow-finish production and quantified pig production losses due to typical heat stress conditions in a grow-finish pig production system in the Midwestern U.S.
North Carolina: Ammonia recovery membrane materials are being tested for characteristics that determine flux rates which will be used in design guidance documents. Characteristics of scraped manure are being determined and the energy recovery potential being measured through anaerobic digestion and gasification.
North Dakota: Scientists are exploring different options to mitigate environmental impacts from livestock production facility and manure management, while maintaining sustainable growth of the livestock industry. Nanoparticles are being applied at different application rates to investigate their effectiveness to mitigate hydrogen sulfide and GHG.
Nebraska: Has data on manure application impact on soil arthropod diversity; the impact of manure application setback distance relative to nutrient transport; analysis of manure application method impact on nutrient and bacterial transport following precipitation events; spatial distribution of antimicrobial resistant bacteria; and antimicrobial resistance genes in soil receiving long-term beef manure applications.
South Dakota: Collaborating with North Dakota and Nebraska) to measure nitrogen and phosphorus balance, and greenhouse gas emission from land applied beef cattle manure. Collecting nitrogen and phosphorus data from deep pit and deep-bedded confinement cattle facilities in the Northern Great Plains. The data will be used to inform and validate the Integrated Farm System Model (Rotz et al, 2014-Rotz, C.A., F. Montes, S.D. Hafner, A.J. Heber, R.H. Grant. 2014. Ammonia emission model for whole farm evaluation of dairy production systems. Journal of Environmental Quality doi:10.2134/jeq2013.04.0121).
Texas: (1) Project participants DeOtte and Auvermann have demonstrated ability to reduce by fifty percent water consumption in head washes in commercial abattoirs in the Texas High Plains and have been invited to inventory other water uses in harvest process and recommend changes for further conservation; developed causal loop diagram of “early harvest to reduce impact of infectious disease”; developed routes and ports for Integrated Management Zones as part of response plan for infectious livestock disease outbreaks; and developed rudimentary LabVIEW code to simulate growth curves of Bos taurus in confinement on a daily time step - a major component of the “virtual feed yard” concept. (2) Project participants DeOtte and Casey are working on saving water during beef cattle harvest process.
A new proposal to evaluate the water needed for disinfection and carcass cooling postulates a potential additional twenty percent in water savings. That is substantial monetary savings for the processor and improves potential for sustaining rural economies that rely upon water from the Ogallala Aquifer.
Virginia: Continues to work on recovery of value added products from agricultural and industrial residues and agricultural air quality related to nodes B13, B15, and B19. Have data on full-scale anaerobic digesters using dairy manure.
?
Objective 3. Discover (reveal), substantiate, and interpret the broader impacts of component-level modifications to animal production systems.
At Iowa, a major update to the Air Management Practices Assessment Tool (AMPAT) was completed using Scientific Literature Database. A total of 267 papers were reviewed to evaluate mitigation technologies performance for emissions of odor, VOCs, NH3, H2S, PM, and GHGs and inform future research needs. The tool can be accessed at:
http://www.agronext.iastate.edu/ampat/database/homepage.html
In Michigan, data from a swine feeding study that measured dietary impact on air emissions and nutrient excretion will be modeled to reveal the longer term impact on soil nutrient accumulation and potential water quality. This work is in the early stages but will add in the feedback loops to the portion of the CLD under development (Objective 2).
At Minnesota, research results from the renewable energy use in and the effects of heat stress on pig production in the Midwest, both validate the need for a component-level approach espoused by the S1032 project. This individual results will hopefully contribute to an overall understanding of the animal production system as laid out in the systematic and been greater than the sum of its parts when combined with other research results from other S-1032 members. Also, data from 38 dairy farms that use automated calf feeders was collected eight times over approximately 18 months to a identifying vital factors impacting calf morbidity, mortality, health and welfare when dairy calf raisers use automated calf feeders and group housing. The multidisciplinary team is considering management practices and building design and their impact on calf health, behavior and performance.
North Carolina is developing CLD models of potential resource recovery technologies and schemes to connect these farm level modifications to the high level CLD. Kick and Classen are working with a graduate student to create a model of food production sustainability at the global scale. World Bank data aggregated at the national level will be used to quantify the model.
In Texas, workshops (sponsored by USDA APHIS VS and DHS RRAP) are being conducted to disseminate the results implementation of food security plans (Routes & Ports and Alternative Harvest Strategies). These results are not only valuable, but preemptive should the United States encounters an outbreak of foot-and-mouth disease.
- ? Decision support tools developed to evaluate conversion of wastes to resources have been adopted by a major utility to encourage energy production at 4 farms.
- ? Research contributed to the broader impact of implementing management practices to lower the environmental and carbon footprint of both pig and dairy production.
- ? Improved utilization of manure as a soil amendment to positively impact soil health; understanding of manure application setbacks on water quality; understanding of manure application methods on nutrient and bacterial transport from fields; and understanding of the spatial distribution of antimicrobial resistant bacteria and antimicrobial resistance genes in soil receiving long-term manure application.
- ? Annual savings of $260,000 on expense of water in beef cattle processing resulting in a reduction on the demand for water from the municipal supplies.
- ? Work on stopping livestock disease progression and the logistics involved has helped change USDA policy in response to infectious animal disease response.
- ? Data have been contributed to the development of better models of N2O and CH4 emissions from manure management systems at beef cattle feed yards. This will provide better estimates of annual emissions and more accurate inventory values.
Journal Articles
Ayadi, F. Y., Cortus, E. L., Spiehs, M. J., Miller, D., & Gemechis, D. 2014. Ammonia and greenhouse gas concentrations at surfaces of simulated beef cattle bedded manure packs. Transactions of the ASABE 58(3):783-795.
Ayadi, F. Y., Spiehs, M. J., Cortus, E. L., & Miller, D. 2014. Physical, chemical and biological properties of simulated beef cattle bedded manure packs. Transactions of the ASABE, 58(3), 797-811.
Baimatova, N., J.A. Koziel, B. Kenessov. 2015. Quantification of benzene, toluene, ethylbenzene and o-xylene in internal combustion engine exhaust with time-weighted average solid phase microextraction and gas chromatography mass spectrometry. Analytica Chimica Acta, 873, 38-50.
Cai, L. J.A. Koziel, M. O’Neal. 2015. Studying plant – insect interactions with solid phase microextraction: screening for airborne volatile emissions of soybeans to the soybean aphid, Aphis glycines Matsumura (Hemiptera: Aphididae). Chromatography, 2, 265-276.
Chiavegato, M. B., J. Rowntree, D. Carmichael, W. Powers. 2015. Enteric methane from lactating beef cows. J. Anim. Sci. 93:1365-1375.
Chiavegato, M. B., J. Rowntree, D. Carmichael, W. Powers. 2015. Pasture derived greenhouse gas emissions in cow-calf production systems. J. Anim. Sci. 93:1350-1364.
Chiavegato, M. B., N. Palumbo, W. Powers. 2015. Ammonia and greenhouse gas emissions from housed Holstein steers fed different levels of dietary crude protein. J. Anim. Sci. 93(1):395-404.
Collins E., J. A. Ogejo, L. Krometis. 2015. Treating separated liquid dairy manure derived from mesophilic anaerobic digester effluent to reduce indicator pathogens and Salmonella concentrations for use as organic fertilizer. J. of Environ. Science and Health Part A 50:1-9.
Cortus, E. L., Al Mamun, M. R. H., Spiehs, M. J., Ayadi, F. Y., Doran, B. E., Kohl, K., . . . Nicolai, R. 2014. Site, environmental and airflow characteristics for mono-slope beef cattle facilities in the Northern Great Plains. Transactions of the ASABE 58(1):123-145.
Cortus, E.L., L.D. Jacobson, B.P. Hetchler, A.J. Heber, B.W. Bogan, B.W. 2014. Methane and nitrous oxide analyzer comparison and emissions from dairy freestall barns with manure flushing and scraping. Atmospheric Environment, available online: 22-OCT-2014 DOI information: 10.1016/j.atmosenv.2014.10.039.
Janni, K.A., L. D. Jacobson, B. P. Hetchler, J. P. Oliver, L. J. Johnston. 2014. Semi-continuous air sampling versus 24-hour bag samples to evaluate biofilters on a swine nursery in warm weather. Trans. of ASABE 57(5): 1501-1515
Kafle, G.K., L. Chen, H. Neibling, B. He. 2015. Field evaluation of wood bark-based down-flow biofilters in terms of mitigation of odor, ammonia, and hydrogen sulfide emissions and pressure drop from confined swine nursery barns. Journal of Environmental Management 147: 164-174.
Li, Q.-F, N. Trottier, W. Powers. 2015. Feeding reduced crude protein diets with crystalline amino acids supplementation reduce air gas emissions from housing. J. Anim. Sci. 93:721-730.
Meyer, D., P.H. Robinson, P.L. Price, J. Heguy. 2015. Determination of silage face surface area on commercial California dairy farms. Grass and Forage Science in press. doi: 10.1111/gfs.12160.
Newbold, J. R., S. M. van Zijderveld, R. B. A. Hulshof, W. B. Fokkink, R. A. Leng, P. Terencio, W. J. Powers, H. B. Perdok. 2014. The effect of incremental levels of dietary nitrate on methane emissions in Holstein steers and performance in Nelore bulls. J. Anim Sci. 92:5032-5040.
Rasmussen, M.L., J.A. Koziel, J.-L. Jane, A.L. Pometto. 2015. Reducing bacterial contamination in fuel ethanol fermentation by ozone treatment of uncooked corn mash. Journal of Agricultural and Food Chemistry, 63, 5239-5248.
Safferman, S. I., J.M. Wallace. 2015. Cow Manure: Waste or Resource? IEEE Potentials, 34(1):25-29.
Spiehs, M. J., Cortus, E. L., Holt, G. A., Kohl, K., Doran, B. E., Ayadi, F. Y., . . . Nicolai, R. 2014. Particulate matter concentrations for mono-slope beef cattle facilities in the Northern Great Plains. Transactions of the ASABE 57(6):1831-1837.
Todd, R. W., N. A. Cole, G. R. Hagevoort, K. D. Casey, B. W. Auvermann. 2015. Ammonia losses and nitrogen partitioning at a southern High Plains open lot dairy. Atmospheric Environment 110(1):75-83.
Wallace, J. M., S.I. Safferman. 2014. Anaerobic membrane bioreactors and the Influence of space velocity and biomass concentration on methane production for liquid dairy manure. Biomass and Bioenergy, 66:143-150.
Woolcock, P.J., J.A. Koziel, P.A. Johnston, R.C. Brown, K.M. Broer. 2015. Analysis of trace contaminants in hot gas streams using time-weighted average solid-phase microextraction: pilot-scale validation. Fuel, 153, 552-558.
Yan, M., G. Kandlikar, L.D. Jacobson, C. Clanton, B. Hu. 2014. laboratory storage simulation to study swine manure foaming. Transactions of the ASABE. 57(3):907-914.
Yegemova S., N.V. Bakaikina, B. Kenessov, J.A. Koziel, M. Nauryzbayev. 2015. Determination of 1-methyl-1H-1,2,4-triazole in soils contaminated by rocket fuel using solid-phase microextraction and gas chromatography - mass spectrometry. Talanta, 143, 226-233.
Zhu, W., J.A. Koziel, L. Cai, H.D. Ozsoy, J.H. van Leeuwen. 2015. Quantification of carbonyl compounds generated from ozone-based food colorants decomposition using on-fiber derivatization-SPME-GC-MS. Chromatography, 2015, 2, 1-18.
Conference Proceedings
Auvermann, B. W. 2015. “Livestock environmental quality research factors,” presented to the High Plains Air Park Workshop, Amarillo, TX, February 5.
Auvermann, B. W., D. Meyer. 2015. Animal Production Systems: Looking for Structure, presented to the Spring 2015 quarterly webinar of NIFA Multistate Committee S-1032, March 26.
Auvermann, B. W., et al. 2015. Evolution of a research community in sustainable production of animal protein, presented at the Innovations in Collaborative Modeling conference, East Lansing, MI, June 4.
Brittenham, B., A.M. Schmidt, D. Miller, R. McGhee. 2015. Lime application to manure as a management strategy for porcine epidemic diarrhea virus (PEDV). ASABE Annual International Meeting, New Orleans, LA, July 26-29, 2015.
Casey, K.D., H.M. Waldrip, R.W. Todd. N.A. Cole. 2014. Greenhouse Gas Emissions from Beef Cattle Feedlot Pen Surfaces in Texas. In: Proc of ASA, CSSA, & SSSA International Annual Meeting, Nov 2-5. 2014, Long Beach, CA. [Abstract & Presentation]
Casey, K.D., H.M. Waldrip, R.W. Todd. N.A. Cole. 2015. Greenhouse gas emissions from beef cattle feedlot pen surfaces in Texas. In: Proc of the ASABE International Annual Meeting, Jul 27-29. 2015, New Orleans, LA. [Abstract & Presentation]
Casey, K.D., H.M. Waldrip, R.W. Todd. N.A. Cole. 2015. Measuring Nitrous Oxide and Methane from Feedlot Pen Surfaces: Experience with NFT-NSS Chamber Technique. In: Proc of Waste 2 Worth 2015, Mar 30 – Apr 3. 2015, Seattle, WA. [Abstract & Presentation]
Casey, K.D., H.M. Waldrip, R.W. Todd. N.A. Cole. 2015. Nitrous oxide and methane emissions from beef cattle feedyard pen surfaces in the High Plains of Texas. In: Proc of World Congress on Integrated Crop-Livestock-Forestry Systems, Jul 13-17. 2015, Brasilia, Brazil. [Abstract & Poster]
Chen, L., K. K. Gopi, H. Neibling. 2015. On-farm evaluation of biofilters in terms of mitigation of odor, ammonia, and hydrogen sulfide. Proceedings of the Idaho Association of County Agricultural Agents Conference. Hailey, Idaho, June 10-12, 2015. P.15-17.
Drennan, C.L., R. DeOtte, T. Lawrence, 2015. Documentation of fifty percent water conservation in a single process at a beef abattoir, student poster, Reciprocal Meats Conference, Lincoln, NE. June 13 -17, 2015.
Jacobson, L.D. Environmental Control & Energy Use of U.S. Pig Production Buildings. Invited presentation at Animal Science Institute of Guangdong Academy of Agricultural Science Gungouco, China on Nov. 19, 2014.
Jacobson, L.D. Fossil Fuel Energy Consumption & Efficiency. Presented at the 2014 Swine Education In-Service in Seattle, WA – Oct 1, 2014.
Liu, Y., Z. Liu, P. Murphy, R. Maghirang, J. DeRouchey. Vegetative Environmental Buffers (VEBs) for Mitigating Multiple Air Pollutants Emissions from a Research Swine Barn. ASABE paper No. 2190126. New Orleans, Louisiana, 2015. Oral presentation.
Liu, Z., P. Murphy, R. Maghirang, J. DeRouchey. Mitigation of Air Emissions from Swine Buildings through the Photocatalytic Technology Using UV/TiO2. ASABE paper No. 2189332. New Orleans, Louisiana, 2015. Oral presentation.
Liu, Z., Y. Liu, and X. Shi. Improving estimation of enteric methane emissions from dairy and beef cattle: A meta-analysis. Presented in the "From Waste to Worth" national conference, Seattle, Washington March 30 – April 4. Oral presentation
Robinson, P.H., N. Swanepoel, J. Heguy, D. Meyer. 2015. ‘Shrink’ in Corn Silage Piles. What are the Real Losses? Presented at Western Dairy Management Conference, Sparks, Nevada, March 3 through March 5. Available at: http://www.wdmc.org/2015/Robinson.pdf.
Schmidt, A.M. 2015. Mortality and manure management in a farm biosecurity plan for PEDV. Waste to Worth Conference, Seattle, WA, March 30 – April 3, 2015.
Schmidt, A.M., D. Miller, J.D. Loy, S. Vitosh. 2015. PEDv survivability in manure-amended soils. ASABE Annual International Meeting, New Orleans, LA, July 26-29, 2015.
Schmidt, A.M., J.D. Loy, C. Kelling, J. Galeota. 2015. Evaluation of mortality composting parameters necessary for inactivation of PEDv. ASABE Annual International Meeting, New Orleans, LA, July 26-29, 2015.
Schuster, N.R., A.M. Schmidt, and J. Peterson. Soil arthropod populations as an indicator of soil health following swine manure application. 2015. ASABE Annual International Meeting, New Orleans, LA, July 26-29, 2015.
Schuster, N.R., A.M. Schmidt, J. Peterson. 2015. Swine manure application method impact on soil arthropods. Waste to Worth Conference, Seattle, WA, March 30 – April 3, 2015.
Shen, J., J. Zhu. 2015. Determination of kinetic parameters in methane production of anaerobic co-digestion from methane volume and COD Balance. ASABE Annual International Meeting paper#: 152187873, New Orleans, LA. July 26-29, 2015.
Shen, J., J. Zhu. 2015. Optimization of methane production in anaerobic co-digestion at different solid concentrations and ratios of poultry litter to wheat straw using a developed statistical model. ASABE Annual International Meeting paper#: 152187836, New Orleans, LA. July 26-29, 2015.
Todd, R.W., N.A. Cole, R. Hagevoort, K.D. Casey. 2014. Ammonia Losses from an Open Lot Southern High Plains Dairy during Summer. In: Proc of ASA, CSSA, & SSSA International Annual Meeting, Nov 2-5. 2014, Long Beach, CA. [Abstract & Poster].
Waldrip, H.M., K.D. Casey, R.W. Todd. N.A. Cole. 2014. Predicting Greenhouse Gas Emissions from Beef Cattle Feedyard Manure. In: Proc of ASA, CSSA, & SSSA International Annual Meeting, Nov 2-5. 2014, Long Beach, CA. [Abstract & Poster]
Thesis/Dissertations
Chiavegato, M. B. The influence of cow-calf grazing systems on carbon flux. 2014. Ph.D. dissertation. Michigan State University
Somchai Rice. Investigating the aroma of marijuana, cocaine, and heroin for forensic applications using simultaneous multidimensional gas chromatography- mass spectrometry – olfactometry. M.S. thesis defended in June 2015. Available from ISU on-line library.
Extension and Outreach
Koziel, J.A., D. Maurer, K. Bruning, K. Kruger. D. Parker. Soybean peroxidase for swine manure treatment and mitigation of odorous volatile organic compounds, ammonia, hydrogen sulfide and greenhouse gas emissions. Environmental Protection Commission, Department of Natural Resources, State of Iowa, February, 2015 (invited presentation).
Maurer, D., Koziel, J.A., J. Harmon, S. Hoff, A. Rieck-Hinz. Air Management Practices Assessment Tool (AMPAT) Literature Database. Environmental Protection Commission, Department of Natural Resources, State of Iowa, February, 2015 (invited presentation).
Chen, L., H. Neibling. 2015. Reducing ammonia emissions through dairy manure land injection. Nutrient Digest Newsletter. Vol. 7(1). Spring, 2015.
Chen, L. 2015. Does manure land injection reduce ammonia emissions? Idaho Crops Soils News. Issue 2. March, 2015.
Chen, L., H. Neibling. 2014. An educational video titled “Agriculture Biofilter Basics”
Powers, W., B. Auvermann, N. A. Cole, C. Gooch, R. Grant, J. Hatfield, P. Hunt, K. Johnson, A. Leytem, W. Liao, J. M. Powell. 2014. Chapter 5: Quantifying greenhouse gas sources and sinks in animal production systems. In: Quantifying greenhouse gas fluxes in agriculture and forestry: methods for entity-scale inventory. Technical Bulletin 1939. Office of the Chief Economist, U.S. Department of Agriculture, Washington, D.C. 606 pages. M. Eve, D. Pape, M. Flugge, R. Steele, D. Man, M. Riley-Gilbert, and S. Biggar (Eds).
Michigan Waste Biomass Inventory to Support Renewable Energy Development (http://mibiomass.rsgis.msu.edu/).
Anaerobic Digestion Development Iterative Tool (http://www.egr.msu.edu/~steves/Renewable%20Energy.html).
Combustion Renewable Energy Iterative Development Tool (http://www.egr.msu.edu/~steves/Renewable%20Energy.html).
Wallace, J. and Safferman, S. (2015). “Discharge Quality Water from Dairy Manure: a Summary of the McLanahan Nutrient Separation System.” Waste 2 Worth 2015 Advancing Sustainability in Animal Agriculture, Seattle, Washington, MI.
Smith, J., Safferman, S., and Thomas, M. 2014). Building on Solid Ground: Providing Renewable Energy Project Support. 2014 National Extension Energy and Environment (E3) Conf., Ames, IA.
Workshop: National Workshop on Carcass Management Logistics, 18 – 19 March 2015, Kansas City, MO. Funded by USDA APHIS VS and DHS Science and Technology and hosted by West Texas A&M University and North Carolina Department of Agriculture and Consumer Services
Liu, Z. 2014. Gas emissions from beef and dairy operations. Kansas State University Agricultural Experiment Station and Cooperative Extension Service. MF3185.
Liu, Z. 2014. Anaerobic digestion of livestock manure: feasibility and factors to consider. Kansas State University Agricultural Experiment Station and Cooperative Extension Service. MF3184.
Liu, Z. 2014. Carbon footprint of livestock production. Kansas State University Agricultural Experiment Station and Cooperative Extension Service. MF3180.