Brief Summary of Minutes of Annual Meeting

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 presented a short course entitled “Modern Statistics for the Agricultural Sciences” for faculty and graduate students at Royal University of Agriculture, Phnom Penh, Cambodia. August 12-16, 2019.

 Nora Bello was invited to present a short course entitled “Mixed Models” for faculty and graduate students at National University of Litoral, Corrientes, Argentina. July 27-31, 2020. It was postponed due to the COVID-19 shut-down.

 Nora Bello was invited to present a short course entitled “At the frontier of mixed models: Scope, limitations and challenges” for faculty and graduate students at National University of Buenos Aires, Buenos Aires, Argentina. August 3-7, 2020. It was postponed due to the COVID-19 shut-down.

 Raul Macchiavelli presented a short course entitled “Strategies for statistical data analysis of spatially correlated data” at the Congreso Escuela de Estadística Espacial, Aplicaciones en Agricultura y Ambiente. Córdoba (Argentina). September 23-25, 2019.

 Di Rienzo, Raul Macchiavelli and F. Casanoves presented a short course entitled “Advanced Linear Mixed Models” at CATIE (Tropical Agronomic Center for Research and Teaching). September 2019, Turrialba, Costa Rica.

Guilherme Rosa taught an online short course on Quantitative Genetics (co-taught with Dr. Bruce Walsh) at the 25^th Summer Institute in Statistical Genetics, University of Washington, Seattle - WA. July 20-22, 2020.

 Guilherme Rosa taught an online short course on Mixed Models in Quantitative Genetics (co-taught with Dr. Bruce Walsh) at the 25^th Summer Institute in Statistical Genetics, University of Washington, Seattle - WA. July 22-24, 2020.

 Guilherme Rosa taught a short course on Graphical Models with Applications to Quantitative Genetics and Genomics (co-taught with Dr. Francisco Peñagaricano). Sao Paulo State University (UNESP) - Jaboticabal, Brazil. November 18-22, 2019.

 Guilherme Rosa taught a short course on Principles of Quantitative Genetics (one-day course). Hunan Agricultural University, Changsha, China. October 14, 2019.

 Guilherme Rosa taught a short course on Introduction to Graphical Models with Applications to Agronomic Data. 64th Annual Meeting of the Brazilian Region (RBRAS) of the International Biometric Society, Cuiabá, MT - Brazil. July 29 - Aug 02, 2019.

 Edzard van Santen organized and taught a hands-on workshop entitled Experiment and Treatment Design Matter: A wrong analysis is wrong, whether conducted in SAS or in R at the ASA-CSSA-SSSA International Annual Meeting on November 10, 2019 in San Antonio, TX.

 Edzard van Santen presented a training workshop at the Noble Foundation, Ardmore, OK entitled Design Matters, Common Mistakes in Applied Research on March 5, 2020.

 Tempelman, R.J. taught on on-liine workshop entitled “Mixed Model Analysis of Research Data”. MSU Center for Statistical Training and Consulting. June 25, 2020

Presentations:

Bello, N.M. Mixed models for data architecture. Department of Computer Science and Engineering, Kansas State University, Manhattan, Kansas. November 19, 2019 (Invited).

 Bello, N.M. Grasping messiness in big data for agricultural systems. Global Food Systems Big Data Workshop. Kansas State University, Manhattan, Kansas. October 15, 2019 (Invited).

Durham, S.L. What is the value of the 16th letter of the alphabet? Moving beyond 'statistical significance'. Quinney College of Natural Resources, Utah State University. September 18, 2019 (Invited).

 Durham, S.L. Doing it right from the start. Datapalooza 2020: Doing It Right from the Start, USU Libraries and Office of Research, Utah State University. February 25, 2020 (Invited).

 Shultz, L.M., J.N. Long, D.A. Johnson, S.L. Durham. Rising nighttime temperatures, drought conditions, and an increasing abundance of non-native plants. Annual Meeting of the Ecological Society of America, August 3-6, 2020.

 Rosa, G.J.M., Aiken, V. C., Fernandes, A. and Dorea, J. R. Enhancing Beef Production and Quality Using Big Data Analytics and Computer Vision Techniques. ASAS Midwest Section / ADSA Midwest Branch 2020 Joint Meeting, Omaha, NE. March 2-4, 2020 (Invited).

 Rosa, G.J.M. RFID-Based Animal Identification and Traceability for Cull Dairy Cows. 2020 Cattle Industry Convention and NCBA Trade Show, San Antonio, TX. February 5-7, 2020 (Invited).

 Rosa, G.J.M. Advancing Livestock Genetic Improvement with High-Throughput Phenotyping Approaches. XXVIII Plant & Animal Genomes (PAG) Conference, San Diego, CA. January 11-15, 2020 (Invited).

 Rosa, G.J.M. Health and Fertility Markers for Dairy Cows. Dairy Cattle Genomics Workshop, Wyndham Garden Hotel, Madison - WI. Oct 01, 2019 (Invited).

Rosa, G.J.M. Opportunities and Challenges in Statistical Analysis of High-Throughput Phenotyping Data in Livestock. 64th Annual Meeting of the Brazilian Region of the International Biometric Society (RBRAS - IBS), Cuiaba - Brazil. July 29 – Aug 02, 2019 (Invited).

 Giannini Kurina. F., S. Hang,A. Kampoldi, R. Macchiavelli, M. Balzarini. Modelos de Predicción para el mapeo regional de retención de glifosato. Paper1049, Latin American Congress of Soil Science. Montevideo (Uruguay), 7-11 October 2019.

 De Jesús, A., R. Macchiavelli. Application of meta-analysis in nitrogen fertilizer studies in Puerto Rico. XVII Conferencia Española de Biometría y VII Encuentro Iberoamericano de Biometría. June 21-23, 2019. Valencia (Spain) .

 Di Rienzo, J., R. Macchiavelli, Casanoves, F., Balzarini, M. Non-linear mixed model implementation in InfoStat and Interface with the nmle and lme4 Libraries in R. XVII Conferencia Española de Biometría y VII Encuentro Iberoamericano de Biometría. June 21-23, 2019. Valencia (Spain) .

 Torres, N.I., Padilla, I.Y., Macchiavelli, R.E. Relationship of groundwater levels and contaminant distribution to hydrologic events in the karst aquifer system of northern Puerto Rico. American Geophysical Union (AGU) Fall Meeting, San Francisco, California, December 9-13, 2019.

 Yeater, K., G. Yocum, K. Greenlee, J. Bowsher, A. Rajamohan, and J. Rinehart. Generalized Linear Mixed Model Approach to Time-to-Event Data with Censored Observations. Southeast SAS Users Group Conference, Williamsburg, VA. October 21, 2019.Kramer M. Statistical issues in horticulture: common issues and some fixes. American Society of Horticultural Scientists Meeting. August 2020.

Kramer, M. Statistical issues in horticulture: common issues and some fixes. Amercian Society of Horticultural Scientists Meeting, August 2020.