Brief Summary of Minutes of Annual Meeting

Meeting minutes attached

Accomplishments: Statisticians who consult and do research in an Agricultural Experiment Station environment enable land grant institutions to perform their agricultural research missions more effectively and efficiently than would otherwise be possible. However, most stations have at most one or two professional statisticians who are not, and cannot be expected to be, experts in every area of statistics.

This multi-state committee brings together statisticians to work cooperatively to determine the best current approaches to common statistical problems and to help guide future directions of sound statistical practice. In addition to producing group outputs such as workshops, the committee serves as a resource for its members and a sounding board for new ideas in their applied statistical research. As a result, all members are able to provide more effective assistance to agricultural researchers addressing national research priorities than they would without NCCC-170.

Outputs:

Workshops / Short Courses:

Nora Bello, Bruce Craig, Robert Tempelman. Invited Short Course on Mixed Models (July 2021). Workshop delivered in conjunction with the Annual Meetings of the American Dairy Science Association.

Nora Bello (July 2020). Invited Short Course on Mixed Models. National University of Litoral, Corrientes, Argentina. Postponed due to COVID-19 shut-down.

Nora Bello (July 2020) Invited Short Course entitled: At the frontier of Mixed Models: Scope, limitations and challenges. National University of Buenos Aires, Buenos Aires, Argentina. Postponed due to COVID-19 shut-down.

Macchiavelli, R. Strategies for the Statistical Analysis of Spatial Correlated Data. Short course (20 hours) Special Topics Course in the Master’s Program in Applied Statistics. National University of Córdoba (Argentina). August-September, 2021 (remote course).

Guilherme J. M. Rosa. Statistical Modeling in Animal Breeding and Genetics. Sao Paulo State University (UNESP) - Jaboticabal, Brazil. August 10-14, 2020. (remote course)

 Guilherme J. M. Rosa. Quantitative Genetics. 25^th Summer Institute in Statistical Genetics, University of Washington, Seattle - WA. July 20-22, 2020. (remote course)

Guilherme J. M. Rosa. Mixed Models in Quantitative Genetics. 25th Summer Institute in Statistical Genetics, University of Washington, Seattle - WA. July 22-24, 2020. (remote course)

Walter W Stroup. 2021 Bayesian Analysis of GLMMs Using PROC BGLIMM SAS Global Forum 2021: Tutorial.

Presentations: 

Nora Bello “Statistics for Reproducible Research in Companion Animal Nutrition”. Invited talk at the Companion Animal Symposium: Experimental Design and Statistics Applied to Companion Animal Nutrition, at the American Society of Animal Science (ASAS) and Canadian Society of Animal Science (CSAS) Annual Meeting and Trade Show. Virtual platform. July 15, 2021.

Nora Bello “Thoughts on Modern Quantitative Literacy for the Agricultural Sciences”. Invited Seminar, Department of Animal Sciences, Ohio State University. Virtual platform. June 9, 2021.

Nora Bello “Systems Modeling for Integrated Animal Production”. Invited Seminar, Department of Animal Sciences, Ohio State University. Virtual platform. June 8, 2021.

Nora Bello “On Transdisciplinary Research and Education at K-State: A Personal Snapshot”. Department of Statistics Seminar Series, Kansas State University. Virtual platform. April 22, 2021.

Nora Bello “Statistics for Reproducible Research: Transition Cows”. Invited talk at the 39^th American Dairy Science Association (ADSA) Discover Conference on Food Animal Agriculture: The transition period – from physiology to management. Virtual platform. October 28, 2020.

Nora Bello “Excellence in Engaged Scholarship: Thoughts for the Animal Sciences of the 21^st Century”. Invited talk, Department of Animal Sciences, Purdue University. Virtual platform. October 16, 2020.

P.M. Dixon. “Where do Bayesian methods fit in an applied statistician’s toolbox?” Conference on Applied Statistics in Agriculture and Natural Resources, May 2021 (virtual)

P.M. Dixon “How and where does Bayesian inference fit in out statistical toolbox?”Agronomy Society of America annual meeting November 2020 (virtual)

Bianchi-Santiago, J., D. Valdés, R. Macchiavelli . « KABCO Severity Cost Estimation by Cluster Analysis for Injury-Only Crashes in Puerto Rico”, Refereed Oral Presentation, Transportation Safety Board 100th Annual Meeting, January 24-28, 2021.

Macchiavelli, R. “Seed Rain” in a Caribbean Forest: Generalized Linear Mixed Models for Count Data. XXV Jornadas de Investigaciones en la Facultad de Ciencias Económicas y Estadística de la Universidad Nacional de Rosario, April, 28, 2021. (Virtual Invited Talk)

Macchiavelli, R. Modern Methods for Statistical Analysis in the Big Data Era. Jornadas de Aniversario, Escuela de Ingeniería Agronómica de la Universidad Autónoma de Santo Domingo. Santo Domingo (Dominican Republic), October 27, 2020 (Virtual Talk)

Adjei, R. and Stevens J.R. Comparative Analysis of Statistical Methods for Single-Cell RNA Sequencing Data. Conference on Applied Statistics in Ag and Natural Resources, virtual via University of Florida. May 19, 2021.

Madden, L. V. Purdue University Seminar: “The cost of plant disease prediction”. November 2020.

Madden, L. V. Ohio State University invited Seminar: “Following my passions in plant disease epidemiology: The director’s cut”. Dept. of Plant Pathology, Fall 2020.

Madden, L. V. Invited keynote presentation: “Model ensembles for plant disease prediction”. Plant Science Symposium 2021, The Ohio State University. March 26, 2021.

Bruce Craig Invited speaker at American Statistical Association sponsored webinar: Advice for the Promotion of Collaborative Statisticians in Research and Teaching Institutions. May 26, 2021.

Khanal, P. and R.J. Tempelman. 2021. Diagnosing the pregnancy status of dairy cows using milk spectral data. Presented (virtual) at the Conference on Applied Statistics in Agriculture and Natural Resources, May 20,2021. https://conference.ifas.ufl.edu/applied-stats/

Tempelman, R.J. 2021. Using genetic relationships to improve the design and analysis of animal science studies. Invited paper (virtual) given at the 56th Meeting of the Brazilian Society of Animal Science. August 19, 2021 56a Reunião SBZ

Tempelman, R.J. 2020. Making the journey from frequentist to Bayesian analysis. Invited paper (virtual) presented at the American Society of Agronomy International Annual Meetings, November 11, 2020.

Walter W Stroup. 2021 Bayesian Analysis of GLMMs Using PROC BGLIMM SAS Global Forum 2021: Paper 1146-2021 (presented virtually)

Lipka, A.E. 2021. Using simulations to assess the performance of quantitative genetics models in crops. Soil and Crop Sciences and Ag Bio Seminar Series at Colorado State University (Presented virtually because of the COVID-19 pandemic). March 10, 2021. (Invited speaker)

Lipka, A.E. 2020. The performance of genotype-to-phenotype models accounting for large-effect loci, epistasis, and pleiotropy. International Conference of the Genetics Society of Korea Asia Pacific Chromosome Colloquium 7, Busan, Korea (Presented virtually because of the COVID-19 pandemic). November 26, 2020. (Invited speaker)

Lipka, A.E. 2020. Using simulations to assess the performance of genotype-to-phenotype models accounting for pleiotropy, epistasis, large-effect loci, and interspecific breeding material. 2020 ACES (Virtual) Global Academy Seminar Series, presented to partner universities in Brazil (Federal University of Lavras and Federal University of Viçosa).November 18, 2020. (Invited speaker)

Books and Book Chapters:

Goad, Carla L., SAS Programming for Elementary Statistics: Getting Started, CRC Press, 2021. DOI:10.4324/9780429491900, ISBN: 9780429491900 (ebook), ISBN-13: 978-1138589094 (hardcover), ISBN-13: 978-1138589025 (paperback)

 Duree, T., Brye, K., Wood, L. and E. Gbur (2020). Soil moisture regime and mound position effects on soil water and vegetation in a native tallgrass prairie in the mid-southern United States. In Grasses and Grassland. V.M. Kindomihou (ed). London, UK: IntechOpen.DOI:10.5772/intechopen.89043. 25 pp.

Kidd, M.T., E,E, Gbur, J. Caldas, L.A. Mozzoni and C.W. Maynard (2021). Quantitative analysis of branched-chain amino acid independent data using an all possible subset regression meta-analysis. In: Branched-Chain Amino Acids: Metabolism, Benefits and Role in Disease. Ed. M.T. Kidd. Nova Scientific Publishers, New York, USA.

Hutchins, J., Hueth, B. and Rosa, G. J. M. Quantifying Heterogeneous Returns to Genetic Selection: Evidence from Wisconsin Dairies. In: Economics of Research and Innovation in Agriculture, National Bureau of Economic Research, Inc., 2020.

Other project related activities:

Nora Bello. Invited participation on the National Science Foundation Convergence Accelerator Workshop on Digital and Precision Agriculture. Virtual platform. May 10, 12, 14, 21, 2021.

 Nora Bello. Invited discussion panel on: “The Changing Future of Data and Research: Cross-Disciplinary Problem Solving”. 2021 Conference of the Coalition for Advancing Digital Research and Education (CADRE) at Oklahoma State University. Virtual platform. April 14-16, 2021.

Nora Bello. Invited Podcast: “Statistical Principles for Pig Research: Myths and Facts” https://www.swineit.com/blog/statistical-principles-in-pig-research-facts-and-myths-dr-nora-bello Swine-it Podcast Show, hosted by Dr. Laura Greiner and Dr. Marcio Goncalves, June 21, 2021.

Nora Bello (Co-PI) “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. 2020-2024. USAID Award #: 21-0968.

Nora Bello (Co-PI). "RII Track-2 FEC: Building Field-based Ecophysiological Genome-to-Phenome Prediction”. Principal Investigator: Stephen Welch, Department of Agronomy, Kansas State University. 2018-2021.National Science Foundation – EPSCoR Research Infrastructure Improvement Program, Program Award #: 1826820.

P.M. Dixon (Co-PI) Monitoring invasive Asian carp in Iowa  (PI, Michael Weber, ISU) USGS 2020-2021 

Carla Goad. Validation and Delivery of Integrated Natural Enemy + Sugarcane Aphid Economic Thresholds and Monitoring Protocols in Grain Sorghum.  USDA 2021 (grant end date unknown)

Bruce Craig, Robert Tempelman, Guilherme Rosa, Xin Dai, Linda Young, Edzard van Santen and Nora Bello served on the organizing committee for the 2021 Conference on Applied Statistics in Agriculture and Natural Resources held virtually on May 17-20, 2021. https://conference.ifas.ufl.edu/applied-stats/

Bruce Craig began as a Senior Fellow, National Institute of Statistical Sciences collaborating with National Agricultural Statistics Service on July 1, 2020.

Hans-Peter Piepho, Emlyn Williams and Robert Tempelman were guest editors for the special issue entitled "Recent Advances in Design and Analysis of Experiments and Observational Studies in Agriculture" in the Journal of Agricultural, Biological, and Environmental Statistics.