SAES-422 Multistate Research Activity Accomplishments Report

Sections

Status: Approved

Basic Information

Participants

Report Participants: 1. Nicholas Keuler, University of Wisconsin - Madison, nskeuler@wisc.edu 2. John R. Stevens, Utah State University, john.r.stevens@usu.edu 3. Samuel B. Fernandes, University of Arkansas, samuelbf@uark.edu 4. Susan L. Durham, Utah State University, susan.durham@usu.edu 5. Kathleen M. Yeater, USDA-ARS, kathleen.yeater@usda.gov 6. Jennifer L. Clarke, University of Nebraska-Lincoln, jclarke3@unl.edu 7. Julia Piaskowski, University of Idaho, jpiaskowski@uidaho.edu 8. Robert J. Tempelman, Michigan State University, tempelma@msu.edu 9. Philip M. Dixon, Iowa State University, pdixon@iastate.edu 10. Jarad Niemi, Iowa State University, niemi@iastate.edu 11. Carla L. Goad, Oklahoma State University, carla.goad@okstate.edu 12. Bruce Craig, Purdue University, bacraig@purdue.edu 13. Clark Kogan, Washington State University, clark.kogan@wsu.edu 14. Raul E. Macchiavelli, University of Puerto Rico, raul.macchiavelli@upr.edu 15. Xin Dai, Utah State Universty, xin.dai@usu.edu 16. Daniel E. Runcie, University of California-Davis, deruncie@ucdavis.edu 17. Guilherme J. M. Rosa, University of Wisconsin-Madison, grosa@wisc.edu 18. Edzard van Santen, University of Florida, evsanten@ufl.edu 19. Kathryn Hanford, University of Nebraska-Lincoln, kathy.hanford@unl.edu 20. Alexander E. Lipka, University of Illinois at Urbana-Champaign, alipka@illinois.edu 21. Laurence V. Madden, The Ohio State University, madden.1@osu.edu 22. Aaron K. Rendahl, University of Minnesota, rend0020@umn.edu 23. Nora M. Bello, The Ohio State University, bello.69@osu.edu

NCCC-170_2023_Minutes.pdf

See minutes attached

NCCC-170_2023_Minutes.pdf

Accomplishments

Accomplishments:

 

1) Outputs: Workshops, short courses

 

A total of 15 workshops and short courses were delivered by members of NCCC170 during this period. Both professional audiences and delivery venues spanned domestic and international settings. The list of workshops and short courses is provided below for illustration purposes. Member co/instructors are highlighted in bold.

 

  1. Invited Mixed Models Workshop, sponsored by American Dairy Science Association at its Annual Meeting, Ottawa, Canada. Instructors: Nora M. Bello, Bruce A. Craig, and Robert J. Tempelman.  Approximately 70 participants.  June 28-June 29, 2023. 
  2. Invited workshop presentations on “GWAS to identify QTLs and gene targets” and “Implementing genomic selection”. African Plant Breeding Academy, Class V, Session 3, World Agroforestry Centre, Nairobi, Kenya. Instructor: E. Lipka. Approximately 40 participants. May 15-16, 2023.
  3. Short course on Modern Programming in Genome to Phenome. University of California, Davis. Co-Instructor: Daniel Runcie. Approximately 30 participants, including graduate students and postdocs. August 1-5, 2022
  4. Short course: Introduction to Scientific Programming in R. University of Idaho. Instructor: Julia Piaskowski. 45 participants, 4 weeks, 16 hours of instruction. https://idahoagstats.github.io/r-for-ag-scientists/ January 17 to February 9, 2023.
  5. Short course: Meta Analysis. National Animal Nutrition Program (NANP), Journal of Dairy Science, and JDS Communications Joint Workshop: Modeling Methods. Ottawa, Canada. Instructor: J. Tempelman. June 25, 2023
  6. Invited Short Course on Modern Statistics for the Agricultural Sciences. Colleges of Agriculture and Veterinary Medicine, National University of the Republic (UdelaR), Montevideo, Uruguay. Instructor: Nora M. Bello. Approximately 30 participants, including graduate students, faculty and researchers. July 5-16, 2022.
  7. Invited Short Course on Modern Statistics for the Agricultural Sciences. Center of Excellence for Sustainable Agricultural Intensification and Nutrition (CE SAIN), Royal University of Agriculture (RUA), Institute of Technology Cambodia (ITC) and Pasteur Institute Cambodia (IPC), Phnom Penh, Cambodia. Instructor: Nora M. Bello. Audience: approximately 30 faculty, researchers and graduate students. May 29 to June 6, 2023.
  8. Invited Short course: Precision Livestock Farming and Big Data Management. University of Bari, Bari - Italy. Instructor: J. M. Rosa. June 12 - 13, 2023.
  9. Invited Short course: Big Data and Digital Tools Applied to Livestock Production. Universitat Politecnica de Valencia (UPV), Valencia - Spain. Instructor: J. M. Rosa (co-taught with Dr. Joao Dorea). June 05 - 09, 2023.
  10. Invited Short course: Big Data and Digital Tools Applied to Livestock Production. National Agricultural Research Institute (INIA), Montevideo - Uruguay. Instructor: J. M. Rosa (co-taught with Dr. Joao Dorea). March 13 - 17, 2023.
  11. Invited Short course: Statistical Modeling in Animal Breeding and Genetics. Sao Paulo State University (UNESP) - Jaboticabal, Brazil. Instructor: J. M. Rosa. November 07-11, 2022.
  12. Invited Short course: Big Data and Digital Tools Applied to Livestock Production. University of Padova, Padova - Italy. Instructor: J. M. Rosa (co-taught with Dr. Joao Dorea). Sept 26 - 30, 2022.
  13. Invited Short course: Regression and Classification Applied to Precision Agriculture, Brazilian Agricultural Research Corporation (EMBRAPA), Goiania – Brazil. Instructor: J. M. Rosa. Sept 05, 2022.
  14. Invited Short course: Quantitative Genetics, at the 27th Summer Institute in Statistical Genetics, University of Washington, Seattle - WA. Instructor: J. M. Rosa (co-taught with Dr. Bruce Walsh). July 18-20, 2022.
  15. Short course: Mixed Models in Quantitative Genetics, at the 27th Summer Institute in Statistical Genetics, University of Washington, Seattle - WA. Instructor: J. M. Rosa (co-taught with Dr. Bruce Walsh). July 20-22, 2022.

 

2) Presentations:

 

A total of 39 presentations, 30 of them by invitation, were delivered by members of NCCC170 during this period to a varied professional audience consisting both of statisticians and domain scientists. Delivery venues were both domestic and international. A selected subset is listed below for illustrative purposes.

 

  1. “Applied Statistics with ChatGPT: Boons and Banes”. Presentation at Conference on Applied Statistics in Agriculture and Natural Resources, West Lafayette, IN. May 16-18, 2023.  Presented by John R. Stevens.
  2. “Assessment of the suitability of variance genome-wide association studies to identify GxE loci in plants”. Invited talk at Plant and Animal Genome (PAG) Conference, Gene Mapping by Segregation, San Diego, CA.  January 17, 2023. Presented by Lipka AE and Murphy MD.
  3. “Including High-Throughput Phenotyping Derived Traits in Multi-Trait Genomic Analysis”. Invited talk at the Plant and Animal Genome (PAG) Conference, CSSA: Translational Genomics Workshop, San Diego, CA. Jan 14, 2023. Presented by Fernandes, SB.
  4. “Statistics in Plant Phenotyping: Study Design and Data Management”. Invited talk at the Conference on Statistical Practice.CS02: Flora & Fauna: Data Management for the Biological World. San Francisco, DA. February 2-5, 2023. Presented by Clarke, J.
  5.  “Using Git: Tales of Peril, Pain and Protection”. Invited talk at the Annual meeting of the American Society of Agronomy (ASA), Crop Science Society of America (CSSA) and Soil Science Society of America (SSSA), Baltimore, MD. November 8, 2023. Presented by J. Piaskowski.
  6.  “Addressing reproducibility in cross-validation schemes for heterogeneous field data”. Invited talk at the Conference on Applied Statistics in Agriculture and Natural Resources, West Lafayette IN, May 16-18, 2023. Presented by R.J. Tempelman.
  7. “Toward emulators for agricultural computer models”. Invited talk at the Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, VA. November 3, 2022. Presented by Jarad Niemi.
  8. “Is it possible to predict deoxynivalenol contamination of grain based on field disease severity?”. Invited talk at a special session of the Annual Meeting of the American Phytopathological Society (APS), Pittsburgh, PA. August 2022. Presented by  L.V. Madden
  9.  “Development of indices to quantify community capitals”. XIX Conferencia Española y VIII Encuentro Iberoamericano de Biometría (CEB-EIB 2023). Vigo (Spain), June 27-30, 2023. Presented by Macchiavelli, R.
  10. “Hierarchical Modeling of Heterogeneous Networks for Animal Production Systems”. Invited talk at the 2022 International Society for Bayesian Analysis (ISBA) World Meeting, invited session on “Interventions in Complex Systems”. Montreal, Canada. June 30, 2022. Presented by Nora M. Bello.
  11. “Data Analytics Applied to Animal Husbandry”. Invited seminar at. Department of Animal Science, Sao Paulo State University (UNESP), Jaboticabal – SP, Brazil. Nov 09, 2022. Presented by Guilherme J. M. Rosa.

 

 

3) Books and Book Chapters:

 

  1. Clarke, J., Qiu, Y., and Schnable, J. (2022) Experimental Design for Controlled Environment High Throughput Plant Phenotyping. In: Lorence, A., Medina Jimenez, K. (eds). High Throughput Plant Phenotyping. Methods in Molecular Biology, vol. 2539. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2537-8_7 . ISBN: 978-1-0716-2537-8
  2. Casanoves, Fernando; Raúl E. Macchiavelli, Mónica Balzarini, Julio Di Rienzo (2022). Modelos no lineales mixtos: aplicaciones en InfoStat. Digital Book, PDF. Córdoba: Grupo InfoStat, 2022. ISBN 978-987-27045-1-3
  3. Rosa, G. J. M. Quantitative Methods Applied to Animal Breeding. In: Encyclopedia of Sustainability Science and Technology. Meyers, R. A. (Editor). New York: Springer, 2022.

 

4) Other Project Related Activities: awards, grants.

 

Members of NCCC170 served as principal investigators, co-principal investigators or collaborators for 20 grant awards active during the funding period totaling over $ 20 million. Funding sources included federal agencies such as the US Department of Agriculture (USDA) and the US Agency for International Development (USAID), as well as private organizations and intramural academics. Most grant awards were interdisciplinary in nature, and in several cases, involved multiple academic institutions. A selected subset of grant awards is listed below for illustrative purposes. Member co/authors are highlighted in bold.

 

Grants:

 

  1. S. Department of Agriculture – National Institute of Food and Agriculture (AFRI) A1141. Total cost: $ 629,392. Project title: "Integrating Sensory, Genomic, and Metabolomic Data to Breed Blackberries for Improved Flavor". Principal Investigator: Margaret Worthington, University of Arkansas. co-PI: Samuel B. Fernandes. Timeline: 2023 -2027. Status: Awarded
  2. AG2PI coconut grant - USDA NIFA-AG2PI. Total cost: $177,744. Project title: “Delivering Resource Allocation Guidelines for Optimizing High-Throughput Phenotyping and Genotyping in Modern Breeding Programs”. Co-PI Runcie, D.E. Timeline: 2023-2024. Status: Awarded.
  3. S. Department of Agriculture – National Institute of Food and Agriculture. Total cost: $920,000. Project title: "ODF: National Agricultural Producers Data Cooperative: A Strategic Framework for Innovation. PI Clarke, J. Timeline: 2022-2024. Status: Awarded
  4. USDA AFRI. Total cost: $10,000,000 NIFA Consortium For Cultivating Human And Naturally Regenerative Enterprises (C-CHANGE). co-PI Jarad Niemi. Timeline 2020-09-01 to 2025-08-31. Status: Awarded
  5. United States Agency for International Development (USAID). Total cost: $ 760,000. Feed the Future Innovation Laboratory on Food Safety at Purdue University. Project title: “Reducing foodborne pathogen contamination of vegetables in Cambodia: Innovative research, targeted interventions and impactful Cambodian-led engagement”. Lead investigators: Jessie Vipham, Animal Sciences and Industry, Kansas State University; and Paul Ebner, Department of Animal Sciences, Purdue University. co-PI: Nora M. Bello. Timeline: 2020-2024. Award #: 21-0968, F.00048684.02.087.
  6. S. Department of Agriculture – National Institute of Food and Agriculture (AFRI), “A Coordinated Innovation Network for Advancing Computer Vision in Precision Livestock Farming. PI: Juan Pedro Steibel (Michigan St Univ.), Co-PI Guilherme J. M. Rosa among others. USDA FACT-CIN, $1,000,000, Duration July 15 2021 – July 14 2026.

 

Also listed below are professional awards conferred to members of the NCCC170 during the reporting period.

 

  1. Iowa State University College of Liberal Arts & Sciences Outstanding Achievement in Extension or Professional Practice Award. Awardee: Jarad Niemi. Fall 2022
  2. The Ohio State University Office for International Affairs Faculty Travel Award              Project title: “Statistical capacity building for agricultural research through interdisciplinary US-Argentina collaborations”. Awardee: Nora M. Bello. Amount: $3,700. Summer 2023.
  3. The Ohio State University Center for Latin American Studies Faculty Travel Award. Project title: “Statistical capacity building for agricultural research through interdisciplinary US-Uruguay collaborations”. Awardee: Nora M. Bello. Amount: $5,250. Summer 2023.
  4. Tools for polyploids Travel Award. Awardee: Samuel B. Fernandes. Amount: $1,100. January 2023.

 

5) Milestones: Implementation and dissemination efforts? Benchmarking?

 

  1. BA Craig andM. Bello. Part of the multi-institution interdisciplinary team that developed a seminar course on “Systematic Reviews and Meta-analysis in Agriculture and the Environment”. Part of an AFRI NIFA grant titled “FACT: An Innovative Cyber-Framework Integrating Public/ Private Data for Evidence-Based Recommendations.” This was a 3-credit graduate-level course that was delivered in a hybrid format (i.e. in-person and online) during Spring 2023. The course engaged students, faculty and staff from Purdue University, University of Wisconsin-Madison and The Ohio State University.
  2. BA Craig, Xin Dai, Neil Patton, Nora M. Bello and others. Organizing committee and local host (Craig) for the 2023 Conference on Applied Statistics in Agriculture and Natural Resources, held in West Lafayette, Indiana on May 15-18, 2023. https://www.stat.purdue.edu/conferences/agstats2023/index.html
  3. Clarke. “How to Get the Most Out of Data”. Interview by Laurie Bedford, Successful Farming. Published in Farm Focus, A Publication of Monterey Country Farm Bureau, Summer 2022 Issue, p.06, June 21, 2022.
  4. Clarke. Lead Organizer and Host, National Agricultural Producer Data Cooperative Conference, Lincoln, NE, May 10-12, 2023.
  5. Clarke. Lead Organizer, Special Session on Digital Agriculture, 20th Conference on Intelligent Systems for Molecular Biology (ISMB), International Society for Computational Biology. July 10-14, 2022, Madison, WI.
  6. Piaskowski, blog post: Mind the Gap: Mixed Models in R. https://jpiaskowski.gitlab.io/posts/r-state-of-mlm/
  7. Piaskowski & W. Price, instructional blog posts: Introduction to Data Cleaning with the Tidyverse; Introduction to Creating Awesome Plots with ggplot; Interpreting P-values; Design and Anatomy of a Study; Common Errors and Solutions in SAS; Graphical User Interfaces for R; Resources for Learning R; Finding Help in R; How to Write Custom Functions in R; R packages for Agricultural Research. https://agstats.io/post/
  8. Price, SAS tutorials: Data Import and Manipulation; Linear Regression; Mixed Model ANOVA; Mixed Model ANCOVA and Dummy Variable Regression; Generalized Mixed Model ANOVA; Modeling Categorical Data; Nonlinear Modeling; Power and Sample Size Estimation; Graphics and Plotting. https://agstats.io/tutorials/
  9. Agriculture CRAN Task View launched and co-maintained by Julia Piaskowki: https://cran.r-project.org/web/views/Agriculture.html
  10. Mixed Model CRAN Task View launched and co-maintained by Julia Piaskowki: https://cran.r-project.org/web/views/MixedModels.html
  11. YouTube channel (https://www.youtube.com/jaradniemi) 6,107 subscribers, 1.2 million views. Jarad Niemi
  12. Philip Dixon. Organized Rgronomist/LunchinatoRs weekly discussion group on R applications for agronomists and ecologists.
  13. Maintenance of website with SAS and other programs for data analysis in plant pathology and the plant sciences, together with Powerpoint presentations on mixed models and other modeling topics. V. Madden. https://u.osu.edu/agstatworkshops/
  14. Nora M. Bello. Newsletter article for dissemination of community extension activity focused on statistical capacity building held in Uruguay, July 2022. Published in The Ohio State University OnCampus Today Newsletter: https://oia.osu.edu/news/statistical-capacity-building-an-ohio-state-uruguay-partnership/?utm_source=sfmc&utm_medium=email&utm_campaign=umar_faculty-staff-newsletter_fy23_oncampus-today-20230224&sfmc_id=75402773

 

Refer also to listing of workshops and short courses (i.e. bullet 1 above), presentations (i.e. bullet 2 above), and books (i.e. bullet 3 above).

Impacts

  1. The accomplishments listed in this report, namely, workshops, short courses, presentations, book, book chapters, publications and in general, a diverse dissemination media, collectively speak to the influence of the NCCC170 amongst the community of statisticians serving food and agriculture research programs, as well as to their relevance to collaborative domain-specific research teams at their home institutions and beyond.
  2. Said accomplishments illustrate how members of the NCCC170 working both jointly and individually enhanced research capacity and fostered the continuing professional education of the scientific community in both the domestic and international landscapes. This, in turn, demonstrates a broad reach of impact of NCCC170, ranging from local institutions to worldwide. Such broad impact is directly aligned with the global scope of agriculture and food production.
  3. Accomplishments also demonstrated a variety of methodological developments that directly address problems unique to current food and agricultural research. Developments were further supported by modern software implementations.
  4. Selected publications and grant awards focused on the role and know-how of research collaborations. Panel discussions articulated and evaluated emerging challenges to agricultural statistics. Taken together, these initiatives support the mentoring of upcoming agricultural statisticians and provide a foundation to educate other statisticians and administrators involved in the faculty evaluation process.

Publications

A total of 86 scientific publications were authored or co-authors by NCCC170 members during the reporting period. Publication venues spanned a wide range of scientific domains and included Nature Communications Earth & Environment, Plos One, Journal of Dairy Science, Journal of Animal Science, Translational Animal Sciences, Applied Animal Behavior, Journal of Animal Breeding and Genetics, Agronomy Journal, Crop Science, HortScience, Communications in Soil Science and Plant Analysis, Frontiers in Sustainable Food Systems, G3 Genes|Genomes|Genetics, Frontiers in Genetics, Journal of Apicultural Research, Vaccine, Computational Statistics, Stat, Research Synthesis Methods, Computers and Electronics in Agriculture, to name a few.

 

A selected subset of publications is listed below for illustrative purposes. Member co/authors are highlighted in bold.

 

  1. Griffith E.H., Sharp J.L., Bridges W.C., Craig B.A., Hanford K.J., and Stevens J.R. (2022) The Academic Collaborative Statistician: Research, Training, and Evaluation. Stat 11(1):e483. doi:10.1002/sta4.483
  2. Rafael Della Coletta, Sharon E Liese, Samuel B Fernandes, Mark A Mikel, Martin O Bohn, Alexander E Lipka, Candice N Hirsc, Linking genetic and environmental factors through marker effect networks to understand trait plasticity, Genetics, 2023;, iyad103, https://doi.org/10.1093/genetics/iyad103
  3. Christie H. Guetling CH, Jones LC, Strand EK, Morishita DW, Piaskowski J and TS Prather. 2023 Susceptibility models and habitat typing of two invasive Hieracium species in the Greater Yellowstone Ecosystem. Biological Invasions. DOI: https://link.springer.com/article/10.1007/s10530-023-03037-z
  4. Hayes, H. A., Wallau, M. O., Caram, N., Sollenberger, L. E., Kenworthy, K. E., & van Santen, E. (2023). Early-stage evaluation of grazed tetraploid bahiagrass experimental entries. Crop Science, n/a(n/a). doi:https://doi.org/10.1002/csc2.20930
  5. Crookston B.S., Yost M.A., Bowman M., Veum K., and Stevens J.R. (2023) Microbial respiration gives early indication of soil health improvement following cover crops. The Journal of Soil and Water Conservation 78(3):1-10. doi:10.2489/jswc.2023.00015
  6. Coppock DL, Crowley L, Durham SL, Groves D, Jamison JC, Karlan D, Norton BE, and Ramsey RD (2022) Community-based rangeland management in Namibia improves resource governance but not environmental and economic outcomes. Nature Communications Earth & Environment 3:32. doi.org/10.1038/s43247-022-00361-5
  7. Rosario, C.M.A., R.J. Miller, G.M. Klafke, C. Coates, W.E. Grant, G. Samenuk, K. Yeater, J. Tidwell, S. Bach, A.A.P. de León, and P.D. Teel. 2022. Interaction between anti-tick vaccine and a macrocyclic lactone improves acaricidal efficacy against Rhipicephalus (Boophilus) microplus (Canestrini)(Acari: Ixodidae) in experimentally infested cattle. Vaccine, 40(47), 6795-6801.
  8. Odell, Sarah G, Hudson, Asher I, Praud, Sébastien, Dubreuil, Pierre, Tixier, Marie-Hélène, Ross-Ibarra, Jeffrey, Runcie, Daniel E. Modeling allelic diversity of multiparent mapping populations affects detection of quantitative trait loci . G3 Genes|Genomes|Genetics, 12(3).
  9. Dustin, D., Clarke, B., and Clarke, J. Predictive Criteria for Prior Selection Using Shrinkage in Linear Models. Computational Statistics, online ahead of print, March 2023 https://doi.org/10.1007/s00180-023-01342-8
  10. Khanal, P., K.L. Parker Gaddis, M.J. Vandehaar, K.A. Weigel, H.M. White, F. Peñagaricano, J.E. Koltes, J.E.P. Santos, R.L. Baldwin, J.F. Burchard, J.W. Dürr and R.J. Tempelman. 2022.  Multiple trait random regression modeling of feed efficiency in US Holsteins. Journal of Dairy Science 105(7):5954-5971.
  11. Matt Nowatzke, Luis Damiano, Fernando Miguez, Gabe McNunn, Jarad Niemi, Lisa Schulte-Moore, Emily Heaton, Andy VanLoocke. (2022) Augmenting agroecosystem models with remote sensing data and machine learning changes overall estimates of nitrate-nitrogen leaching. Environmental Research Letters, 17:11, 114010.
  12. Annear, A.R., Simonson, M.A., Dixon, P.M. and Weber, M.J. 2023.  Intra-annual variability of common carp and bigmouth buffalo electrofishing data in shallow lakes.  North American Journal of Fisheries Management 43(2):556-568.
  13. Holder, Amanda, Megan A. Gross, Alexandra n. Moehlenpah, Carla Goad, Megan Rolf, Ryon Walker, James K. Rogers, David Lalman (2022) Effects of Diet on Feed Intake, Weight Change, and Gas Emissions in Beef Cows, Journal of Animal Science 100(10). DOI: 10.1093/jas/skac257
  14. DeVetter, L.W., S. Chabert, M.O. Milbrath, R.E. Mallinger, J. Walters, R. Isaacs, S.P Galinato, C. Kogan, K. Brouwer, A. Melathopoulos, and M. Eeraerts. (2022). Towards evidence-based decision support systems to optimize pollination and yields in highbush blueberry. Front. Sustain. Food Syst. https://doi.org/10.3389/fsufs.2022.1006201
  15. Piepho, H.-P., and Madden, L. V. 2022. How to observe the principle of concurrent control in an arm-based meta-analysis using SAS procedures GLIMMIX and BGLIMM. Research Synthesis Methods 13: 821-828.
  16. Rauter S, Stock M, Black B, Drost D, Dai X, Ward R. (2022). Overwintering Improves Ranunculus Cut Flower Production in the US Intermountain West. Horticulturae. 2022; 8(12):1128.  
  17. Brewer, G., M. Kentaro, and K. Hanford. (2023). Measuring bee effect on seed traits of hybrid sunflower. Plants. https://doi.org/10.3390/plants12142662.
  1. Ferreira, R. E. P., Bresolin, T., Rosa, G. J. M. and Dórea, J. R. R. (2022) Using dorsal surface for individual identification of dairy calves through 3D deep learning algorithms. Computers and Electronics in Agriculture 201: 107272.
  2. Mosimann, S., K. Ouk, N. M. Bello, M. Chhoeun, J. Vipham, L. Hok and P. Ebner. 2023. “Describing capability, opportunity, and motivation for food safety practices among actors in Cambodian informal vegetable market”. Frontiers in Sustainable Food Systems. Volume 7, 2023:  https://doi.org/10.3389/fsufs.2023.1060876.
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