SAES-422 Multistate Research Activity Accomplishments Report

Sections

Status: Approved

Basic Information

Participants

1. Nora Bello, USDA-ARS 2. Nick Keuler, University of Wisconsin-Madison 3. Quentin Read, USDA-ARS 4. Aaron Rendahl, University of Minnesota 5. Somak Dutta, Iowa State University 6. Larry Madden, Ohio State University 7. Josefina Lacasa, Kansas State University 8. Xin Dai, Utah State University 9. Bruce Craig, Purdue University 10. Conor Fair, University of Georgia 11. Rob Tempelman, Michigan State University 12. Wanderson Bucker Moraes, Ohio State University 13. Carine Klauberg, University of Florida 14. Neil Paton, Cargill 15. Raul Macchiavelli, University of Puerto Rico 16. Reka Howard, University of Nebraska Lincoln 17. Carla Goad, Oklahoma State University 18. Julia Piaskowski, University of Idaho 19. Guilherme Rosa, University of Wisconsin-Madison 20. Walt Stroup, University of Nebraska-Lincoln 21. Md Abdullah Al Bari, Kansas State University 22. Jane Schuh, Kansas State University

NCCC170-Business-meeting-notes.docx

Accomplishments

Accomplishments:

 1) Outputs: Workshops, short courses

A total of 26 workshops and short courses were delivered by members of NCCC170 during this period. Audiences ranged from academic trainees (i.e. graduate students and post-docs) to peer statisticians and professionals in allied disciplines, including academic faculty and research scientists in government and industry. Delivery venues spanned domestic and international settings, ranging from Idaho, Utah, Mississippi, Georgia, Iowa, Kansas, and Nebraska  in the US, to Ecuador, Italy, Japan, and Hungary abroad. The complete list of workshops and short courses is provided below for illustration purposes. Member co/instructors are highlighted in bold.

  1. Piaskowski J. Webinar Series: “The Missing Pieces of ANOVA, Regression and Other Linear Models”.  Webinar series each 1 hour long: Feb 24, Mar 3, Mar 10, Mar 24, 2026 (online).
  2. Macchiavelli R. Short Course: “Applications of Generalized Linear Models.” IX Iberoamerican Biometrics Meeting, July 9-11, 2025. Quito (Ecuador).
  3. Rosa GJM. Short course: “Quantitative Genetics” at the Bruce Weir Summer Institute in Statistical Genetics (SISG). June 1-3, 2026. Atlanta, GA.
  4. Rosa GJM.  Short course: “Mixed Models in Quantitative Genetics” at the Bruce Weir Summer Institute in Statistical Genetics (SISG). June 1-3, 2026. Atlanta, GA.
  5. Rosa GJM.  Short course: “Big Data and Digital Tools Applied to Livestock Production” at the University of Padova. Sept 1-5, 2025. Padova (Italy).
  6. van Santen E and SR Riley. Workshop: “Repeated Measures Analysis in SAS and R” at the CANVAS 2025 Annual Meeting.  Nov 9, 2025. Salt Lake City, UT.
  7. Bello N, Rob Tempelman R, and BA Craig. Workshop: “Mixed Models Workshop” for the American Dairy Science Association.  June 24-25, 2026. Milwaukee, WI.
  8. Brouder S, Cai C, Craig BA, Barford C, and J Volenec. Workshop: “Do It Right: Conducting a Systematic Review with Meta-Analysis” at the CANVAS 2025 Annual Meeting.  Nov 9, 2025. Salt Lake City, UT.
  9. Read Q. Short course: “A crash course in Bayesian mixed models with brms.” Weekly from July 31-August 28, 2025. Delivered virtually for USDA-ARS researchers in Southeast region.
  10. Read Q. Workshop: “Dealing with missing data” for the USDA-ARS.February 24, 2026. Oxford, MS.
  11. Read Q. Workshop: “Machine learning demystified” for the USDA-ARS. Feb 26, 2026. Stoneville, MS.
  12. Howard R. Workshop: “Experimental Design as a Communication Tool: Preparing for Statistical Partnership” at the University of Tokyo. Aug 18-19, 2025. Tokyo (Japan).
  13. Howard R, et al. Workshop: “Genomics and Bioinformatics Data Hackathon”. Oct 9-10, 2025. Victoria Falls (Zimbabwe). Collaboration with scientists from USA, Kenya, India, UK, South Africa.
  14. Howard R. Workshop: “Why is Experimental Design Important?” Oct 9, 2025. Victoria Falls (Zimbabwe).
  15. Howard R. Workshop: “Experimental Design in Applied Settings: from Design to Analysis” at the Hungarian University of Agriculture and Life Sciences. May 21-22, 2026. Budapest (Hungary).
  16. Howard R. Workshop:  “Why is Experimental Design Important?” for the African Plant Breeding Association and the African Bioinformatics Institute. (Online). June 8, 2026
  17. Howard R. Workshop: “Basics of Experimental Design – Vocabulary, Factorial Treatment Design” for the African Plant Breeding Association and the African Bioinformatics Institute. (Online). June 9, 2026
  18. Howard R. Workshop: “Randomized Complete Block Design and Repeated Measures” for the African Plant Breeding Association and the African Bioinformatics Institute. (Online). June 16, 2026/
  19. Howard R. Workshop: “Why is Experimental Design Important?” for the Nebraska Center for the Prevention of Obesity Diseases. Lincoln, NE. Oct 31, 2025.
  20. Howard R. Workshop: “Blocking and Power”. for the Nebraska Center for the Prevention of Obesity Diseases. Lincoln, NE. Nov 14, 2025.
  21. Howard R. Workshop: “Why is Experimental Design Important? For the University of Nebraska Molecular Mechanisms of Disease Training Program. Lincoln, NE. Mar 26, 2026.
  22. Fair C and X Luo:  Webinar series: “CAES Training Course: Data Analysis in “, 10 webinars 1.5 hours each for the University of Georgia. (Online) Sept 29 - Oct 10, 2025.
  23. Chakraborty D, Roy S, Roy V, and S Dutta: Workshop “SVENETICS: A Multi Trait Bayesian GWAS Pipeline” for Iowa State University. (Online) June 15, 2026.
  24. Lacasa J and T Hefley. Workshop Series: “Bayesian Analysis of Designed Experiments” for Kansas State University, (3 sessions of 2hr each). Manhattan, KS. March, 2026.
  25. Lacasa J and CD da Silva. Workshop Series: “Applied Mixed Models” for Kansas State University, (3 sessions of 3hr each). Manhattan, KS. Sept, 2025.

 

2) Presentations

A total of 37 presentations, at least 24 of them by invitation, were delivered by members of NCCC170 during this period to a varied professional audience consisting of both statisticians and domain scientists. Delivery venues were both domestic and international. A selected subset is listed below for illustrative purpose

  1.  Bello N. Invited talk: “Reproducible Research from Noisy Data: Revisiting Statistical Principles for the Animal Sciences”. Invited seminar at the University of the Republic of Uruguay (UdelaR), Colleges of Veterinary Medicine and Agronomy. Virtual platform. Aug 19, 2025.
  2. C Prinster and J Stevens. Talk:  “Power Approximations with Non-Normal Data in Generalized Linear Mixed Models in R using Steep Priors on Variance Components” at the Workshop on Applied Statistics in Agriculture and Natural Resources. Lincoln, NE. May 12, 2026.
  3. Howard R. Invited Talk:  “Leveraging Historical Data for Estimating Genetic Gain and Implementing Genomic Selection in a Student Led Barley Breeding Program” for the EcoSta Conference. Tokyo (Japan). Aug 22, 2025.
  4. Howard R. Invited talk: “Estimating Genetic Gain and Implementing Genomic Selection in a Student Led Barley Breeding Program” for the APBA Conference. Victoria Falls, Zimbabwe, Oct 6, 2026.
  5. Niemi J.  Contributed talk: “Specifying Prior Distributions in Reliability Applications” at the SIAM Conference on Uncertainty Quantification. Minneapolis, MN. Mar 23, 2026.
  6. Lipka A. Invited talk: Leveraging recent biological findings and resources into crop statistical genetics” for the Colorado State University Plant Adaptation Symposium. Fort Collins, CO. Feb 5, 2026.
  7. Dutta S. Invited talk: “Matrix-free High Dimensional Gaussian Simulation”. 2026 ASA Midwest Regional Conference in Statistics and Data Science. University of Minnesota, Minneapolis. May 28, 2026.  
  1. Lacas J, and D Rudnick. Talk: “Leveraging TAPS extension efforts for research purposes – opportunities and challenges.” at the CANVAS 2025 Annual Meeting.  Salt Lake City, UT. November, 2025.
  1. Liu P. Invited talk: “Prediction-Powered Inference for AI-Based Maize Phenotyping from Field Images” for JCDSS. Beijing and Guiyang (China). July 11, 2026.
  2. van Santen R, S Riley, and H-P Piepho. 2025. Contributed talk:
    “Canonical discriminant analysis — a multivariate technique you didn't think you needed.” Conference Applied Statistics in Agriculture and Natural Resources. Gainesville, FL. May 11-15, 2026.
  3. Piaskowski J and R Lenth. Contributed talk: “West by Midwest: Package Maintenance, Transition and Handover” at the Workshop on Applied Statistics in Agriculture and Natural Resources. Lincoln, NE. May 14, 2026.
  4. Clarke J. Invited talk: “Statistical Predictive Modeling and Why AI/ML Works” for the  Lawrence Livermore National Laboratory. Livermore, CA. Aug14, 2025.
  5. Macchiavelli R. Invited talk: “Censored Poisson Regression Models with Inflation of Zeroes” for the Mes de la Divulgación Científica at the Universidad Estatal de Milagro (Ecuador). (Online) Nov 24, 2025.
  6. Rosa R. Invited talk: “Using High-Resolution Environmental Descriptors to Enhance Genetic Evaluation and Selection for Adaptation in Beef Cattle” at the XXXIII Plant & Animal Genomes (PAG) Conference. San Diego, CA. Jan 9-14, 2026.
  7. Craig BA, Sabbaghi A, and T Colver. Contributed talk: “Democratizing Statistical Consulting via Large Language Models: Progress, Pitfalls, and Practical Constraints in an Academic Setting” at the Workshop on Applied Statistics in Agriculture and Natural Resources. Lincoln, NE. May 13, 2026. 

 

3) Books and Book Chapters

  • Bowley SR, van Santen E, Riley S, Michelson DK, and RM Hummel. 2025. Applied statistics in biology: A practical guide using SAS, R, and JMP. ASA, CSSA, and SSSA, Madison, WI. ISBN-13:  978-0891183945

 

4) Other Project Related Activities: awards, grants 

Members of NCCC170 served as principal investigators, co-principal investigators or collaborators for 17 interdisciplinary competitive grant awards active during the funding period and totaling over $ 26 million. Funding sources included federal agencies such as the US Department of Agriculture (USDA), as well as state agencies and private organizations. Grant awards are listed below; member co/authors are highlighted in bold.

 

Grants:

  1. Clarke, J. USDA AFRI, ODF: National Agricultural Producers Data Cooperative: Expansion through Strategic Development, $958,410, 09/15/24–09/14/2026. Role: Principal Investigator
  2. Fernandes, S.B. Integrating genomic prediction with crop modeling to develop climate-resilient cultivars. Foundation for Food & Agriculture Research, $448,491, 01/01/2025 - 12/31/2027.  Role: Principal Investigator
  3. Fernandes, S.B. Vieira, CC. Phenotypic Selection Assisted by Seed-Level Near-Infrared Information. Arkansas Soybean Promotion Board, [$150,000], 2024-2026.Role: Principal Investigator
  4. Clarke. J. Scientific Visitor, Division of Biosciences & Biotechnology, Directorate of Physical and Life Sciences, Lawrence Livermore National Laboratory, August 2025.
  5. Rosa GJM, Tempelman RJ, and JR Knapp. “47th ADSA Discover Conference: Dairy Cow and Farm Resilience: Mitigating Stress Impacts to Welfare, Health, and Profitability”, USDA-AFRI, 1-12/2025, $30,000.
  6. Rosa GJM, Lourenco, D., Rowan, T., Brito, L., Gondro, C., Huang, J., and Valle de Souza, S. “Integrating Enviromics, Genomics, and Machine Learning for Precision Breeding of Resilient Beef Cattle”, USDA-IDEAS, 05/2023-04/2027, $1,000,000.
  7. Rosa GJM , Weigel KA, Peñagaricano F, Dórea JRR, White HM, and VE Cabrera. “The Resilient Cow: Next-Generation Selection Strategies using High-Frequency Phenotypes to Achieve Predictable Performance under Unpredictable Conditions”, USDA-AFRI, 03/2023-02/2027, $650,000. 
  8. Brito, L., Rosa GJM et al. “Integrating Multiomics and High-Throughput Phenotypic Datasets Through Machine Learning to Improve Animal Resilience and Welfare”, USDA-AFRI DSFAS, 05/2022-05/2026, $650,000. 
  9. Rosa GJM. “Development of an Efficient Computer Vision System to Monitor Beef Cattle Growth in Feedlots”, HATCH-CALS, 10/2022-09/2026, $140,632.
  10. Steibel JP,  Rosa GJM, et al. “A Coordinated Innovation Network for Advancing Computer Vision in Precision Livestock Farming”, USDA- FACT CIN, 09/2021-08/2026, $1,000,000.
  11. Eicher-Miller HA, Craig BA, et al. USDA NIFA 2022-68015-36279 “Maximizing the impact of nutrition education to meet the dietary quality and food security needs of children and parents” (Co-I, PI: Eicher-Miller), Total $969,996
  12. Brouder SM, Craig BA, et al. USDA/NIFA 2019-68017-29939 “FACT: An Innovative Cyber-Framework Integrating Public/Private Data for Evidence-Based Recommendations” (Co-I, PI: Brouder), Total $1,000,000
  13. Dai, X., Peralta, R. “Jordan River Irrigation Water Quality Analysis and Evaluation”. Salt Lake City Corporation, 04/2025 - 01/2026. $28,200.18.
  14. Huang WG, Tempelman RJ, et al. “Genomic prediction across species and populations in animals and plants.” USDA-NIFA-AG2PI. 09/15/25-09/14/29. $948,396.
  15. Penagaricano F, Tempelman RJ, et al. “Integrating genomic, nutritional, and microbial strategies to mitigate enteric methane emissions from dairy cattle.” Foundation for Food and Agricultural Research and Council for Dairy Cattle Breeding. 01/01-2023-12/31/2025. $3,200,000
  16. Schulte-Moore L, Niemi J, et al. USDA NIFA (#2020-68012-31824) Consortium for Cultivating Human and Naturally reGenerative Enterprises (C-CHANGE), Role: Co-PI. Sep 2020 to Aug 2026 $10,000,000
  17. Anand R, Niemi J, et al. Iowa State University Presidential Interdisciplinary Research Initiative, HYDRA: Hydration and Defense Resource Advancement, Role: Investigator, July 1, 2025 to June 30, 2028 
  18. Schnable R, Dutta S, et al. NIFA AG2PI Collaborative: Improving Causal Gene Detection across Crop and Livestock Species. USDA-NIFA (#2023-70412-41087). Role: Co-PI. September 15, 2023, to September 14, 2027. $1,132,877.
  19. Franz K, Gallus W, and S Dutta. A machine learning postprocessor to mitigate QPF errors for improved hydrometeorological forecasting. The National Oceanic and Atmospheric Administration (#NA230AR4590377). Role: Co-PI. August 1, 2023 to July 31, 2026). $615,919
  20. Ruiz Diaz D and J Lacasa. OCP North America, Inc. May 2026 – April 2027. Probability of response to Phosphorus: Soil and weather predictors. Total awarded: $16,000. Role: co-PI. 
  21. Rudnick D, Lacasa J, et al. Kansas Water Office. March 2026 – January 2027. Testing Agricultural Performance Solutions (TAPS) at Garden City. Total awarded: $51,018. Role: co-PI. 
  22. Rudnick D, Lacasa J, et al. Kansas Water Office. March 2026 – January 2027. Testing Agricultural Performance Solutions (TAPS) at Colby. Total awarded: $51,018. Role: co-PI. 
  23. Caixeta L, Rendahl A, et. al. Modeling On-farm CH4 (MOCH4): advancing sustainable dairy management through health-based insights, Foundation for Food and Agricultural Research (FFAR), Total awarded: $750,000. Role: Co-PI, 01/05/2026 -- 01/04/2028
  24. Cramer J, Rendahl A, et. al. Transforming Dairy Cattle Lameness Management through a Combination of Artificial Intelligence-Powered Video Analytics and Genomic, Epidemiological, and Extension Approaches. Foundation for Food and Agricultural Research. Total awarded: $999,999. Role: Co-PI. Jan 2025 - Dec 2029.
  25. Meyer J, Liu P, et al. Resistance exercise to treat major depression via cerebrovascular mechanisms: confirming efficacy and informing precision medicine, NIH, Total Award Amount: $ $3,605,849, Role, Co-PI, Total Award Period Covered: 7/1/2023-6/30/2028
  26. Liu P and C Li, Collaborative Research: Causal Learning with High-dimensional Imaging Outcomes: Method, Theory, and Algorithms, NSF, Total Award Period Covered: 8/1/2025-7/31/2028, Role , PI, Total Award Amount: $125,625.69

 

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

  1. Clarke J. 2026 Best Working Group Member Award, AgBioData Group (Consortium of Agricultural and Genetic, Genomic, and Breeding Databases)

 

5) Milestones: Implementation and dissemination efforts. Benchmarking

  1. Howard R, Dixon P, Piaskowski J, Rosa G, Piepho H-P, and A Arias. Planning committee and local host (Howard) for the 2026 Workshop on Applied Statistics in Agriculture and Natural Resources, held in Lincoln, NE on May 11-15, 2025.
  2. Fernandes SB. Organizer of Arkansas AI in AG Symposium and Hackathon (120 attendees in person, 133 online). Fayetteville, AR. September 22, 2025.
  3. Piaskowski J and W Price; Idaho Ag Stats - instructional blog posts, tutorials and workshops. https://agstats.io/
  4. CRAN Task View: Agricultural Sciences, launched and co-maintained by J Piaskowki: https://cran.r-project.org/web/views/Agriculture.html
  5. CRAN Task View: Mixed, Multilevel and Hierarchical Models in R, launched and co-maintained by J Piaskowki: https://cran.r-project.org/web/views/MixedModels.html
  6. YouTube channel (https://www.youtube.com/jaradniemi): >6,900 subscribers, >1.39 million views. J Niemi
  7. Piaskowski J and R Lenth, maintainer, 'emmeans' CRAN package: https://CRAN.R-project.org/package=emmeans

 

Impacts

  1. Srengthening of the statistical capacity and research collaborations of its members through continuing education, cooperative research, and the exchange of expertise in modern statistical methodology. The committee has continued to share this expertise through workshops including workshops on systematic reviews/meta-analysis, digital tool applied to livestock prediction, Bayesian mixed models, and a multi trait Bayesian GWAS pipeline
  2. NCCC170 members have also collaborated on research projects and contributed statistical expertise to almost 500 peer-reviewed publications during the project. These collaborations and the workshops extend the impact of the committee well beyond its membership.
  3. NCCC-170 has successfully expanded its membership, particularly through recruitment from academic institutions, while continuing efforts to broaden geographic representation across the United States and strengthen participation from government and industry.
  4. Collectively, these activities have enhanced the quality, rigor, and reproducibility of research while fostering a national network of statistical expertise and collaboration in agriculture.

Grants, Contracts & Other Resources Obtained

Publications

A total of 104 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 R Journal, Binformatics Advances, Communications Biology, Science and Public Policy, Plant Disease, BOSQUE, Journal of Dairy Science, IEEE Access, Journal of Animal Science, Journal of Animal Breeding and Genetics, Preventative Veterinary Medicine, Animal Production Science, Animals, Translational Animal Science, Scientific Reports, Journal of Economic Entomology, Science of the Total Environment, Veterinary Radiology and Ultrasound, Animal Feed Science and Technology, Agronomy Journal, Insects, Journal of Animal Science, Southwestern Entomologist, Insects, Journal of Nutrition, Poultry Science, Journal of Virology, Journal of Applied Poultry Research, Journal of Food Protection, Crop Science, Crop Protection, Fungal Genetics and Biology, Technology in Horticulture, Journal of Invertebrate Pathology, International Society of Microbial Ecology Communications, Entomologia Experimentalis et Applicata, Plants, Journal of Agricultural, Biological and Environmental Statistics, HortScience, Annual Review of Phytopathology, Animal Reproduction Science, 'G3: Genes, Genomes, Genetic', Genes, Journal of Experimental Botany, European Journal of Agronomy, IATSS Research, Genetics, Frontiers in Fungal Biology, Journal of Entomological Sciences, Nature Communications, in Sillico Plants, Plant-Environment Interactions, Euphytica, Phytopathology, Statistics and Computing, Bayesian Analysis, Computers and Electronics in Agriculture, Food Science and Technology, Discover Plants,  Agrosystems, Geosciences and Environment, Food Protection Trends, Food Microbiology, Journal of Cereal Science, Trials, New Phytologist, Plant Breeding, and Microorganisms, among others.

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

 

  1. Yavuz R, Wang H, Fakude M, Dermail A, Frei UK, Liu P, and T Lübberstedt (2025) Genetic Variation and Heritability of Haploid Frailty in Maize, Frontiers in Plant Science, Plant Breeding, 16, https://doi.org/10.3389/fpls.2025.1572901
  2. da Silva Volpato N, Carcedo AJP, Tamagno S, Lacasa J, Messina C, Durrett T, and I Ciampitti (2026) Historical Progression of Corn Hybrid Yields and Grain Composition, from 1936 to 2018. Journal of Cereal Science, 104431. https://doi.org/10.1016/j.jcs.2026.104431
  3. Swartz D, Rendahl A, and G Cramer (2026) Hoof lesion detection in lactating Holsteins: Part II. Development and on-farm validation of a predictive classification model using autonomous camera system data compared to passive surveillance. Journal of Dairy Science, 109. https://doi.org/10.3168/jds.2025-27832
  4. Gwaltney L, Brye KR, della Lunga D, Roberts TL, Fernandes SB, and MB Daniels (2025). Biochar type and rate effects on greenhouse gas emissions from furrow-irrigated rice. Agrosystems, Geosciences and Environment, 8(3), e70186. https://doi.org/10.1002/agg2.70186
  5. Vath RL, Fernandes SB, Monier B, Głowacka K, Walter J, Lipka AE, Ferguson J, Bernacchi CJ, T. Pederson, and J. Kromdijk. 2026. High-throughput screen of NPQ in sorghum shows highly polygenic architecture of photoprotection. Plant-Environment Interactions, 7(1), e70114. https://doi.org/10.1002/pei3.70114
  6. Cerón-Rojas J, Montesinos-López OA, A. Montesinos-López, P. Vitale, P. Pérez-Rodríguez, S. B. Fernandes, R. Ortiz, and J. Crossa. 2026. Nonlinear genomic selection index accelerates multi-trait crop improvement. Nature Communications, 17(1), 1991. https://doi.org/10.1038/s41467-026-69890-3
  7. Wang R, Dutta S, and V Roy (2025) Bayesian iterative screening in ultra-high dimensional linear regressions. Bayesian Analysis. https://doi.org/10.1214/25-BA1517
  8. Jones S, Dutta S, Ayanlade TT, Ganapathysubramanian B, Sarkar S, Fallen B,  and AK Singh, A. K. (2025) Assessing phenotypic diversity and sensor‐based metrics for drought response in soybean. Crop Science, 65. https://doi.org/10.1002/csc2.70098
  9. Gaur A, Correr FH, Wong M-L, Pantos D, Lachowiec J, Dutta S, Vishwakarma DK, Das S and S Mondal (2026) Optimized Ensemble Learning Frameworks for Early Grain Yield Prediction in Winter Wheat Using Static and Multitemporal Multispectral UAV Data. Computers and Electronics in Agriculture, 251. https://doi.org/10.1016/j.compag.2026.112038
  10. Godoy dos Santos JC, Edwards J, Lee E, Mikel MA, Fernandes SB, Hirsch CN, Berry SP, Lipka AE and Bohn MO (2026) Dissecting genetic variance structure and evaluating genomic prediction models for single-cross hybrids derived from Stiff Stalk and Non-Stiff Stalk maize heterotic groups. G3: Genes, Genomes, Genetics: p.jkag163
  11. Widener-Richards SJ, Nabukalu P, Kong W, Paterson AH, Cox S, Sacks EJ, and Lipka AE (2026). Do we need to account for genetic architecture when applying genomic prediction to perennialized sorghum? Euphytica, 222. 
  12. McCravy KW, O’Connell DG, Harden CW, Fair CG, Blaauw BR. 2026. Ground beetle (Coleoptera: Caraboidea: Carabidae and Ccinelidae) abundance, diversity, and species composition in relation to peach orchard ground cover management practices. Journal of Entomological Science, 61. https://doi.org/10.18474/JES25-50
  13. Caflisch EA, Pellegrin FV, Georgousi F, Keuler N, Godhardt-Cooper, JA,  and NA Aulik (2026) Prevalence of Mycoplasmopsis bovis and Histophilus somni in raw bovine semen from artificial insemination collection centers in the United States. Journal of Dairy Science, 109. https://doi.org/10.3186/jds.2025-28095.
  14. Nascimento, B.M., K.L. Parker-Gaddis, J.E. Koltes, R.J. Tempelman, M.J. Vandehaar, H.M. White, F. Penagaricano, and K.A. Weigel. 2025. Impact of heat stress on dry matter intake and residual feed intake in mid-lactation dairy cows.  Journal of Dairy Science 108(7):7345-7353.
  15. Tempelman, R.J. 2025.  Invited Review: A review of some commonly used meta-analysis methods in dairy science research.  Journal of Dairy Science 108(3):2115-2132.
  16. Sazon LAR, Grassini P, Alvarez S, Howard R, Monzon JP, Sarath G, Naldrett MJ, Lindquist J, Specht J, and N Cafaro La Menza (2026) Stem nitrogen accumulation through vegetative storage proteins and mobilization to seeds supports high-yielding soybean. Journal of Experimental Botany, 77.
  17. Happ MM, Graef GL, Howard R, and DL Hyten (2026) Contrasting selection on GxE and main effect loci for soybean grain yield. Genetics, iyag151.
  18. Madden LV (2025). Reflections on the past, present, and future of quantitative plant disease epidemiology. Annual Review of Phytopathology, 63. https://doi.org/10.1146/annurev-phyto-031725-033728
  19. Rutigliano HM,Morgado KP, Stevens JR, Daviesn CJ, and IR Polejaeva (2025) Bovine trophoblast-derived extracellular vesicles modulate the gene expression profile of peripheral leukocytes. Animal Reproduction Science, 283. https://doi.org/10.1016/j.anireprosci.2025.108025
  20. Ambike V, Ebner PD, Mosimann S, Ouk K and NM Bello (2026) Learning network structure for ordinal outcomes: An application of inductive causation to food safety in Cambodia. Journal of Agricultural, Biological and Environmental Statistics (JABES).  https://doi.org/10.1007/s13253-026-00725-w 
  21. Valles SM, Ascunce MS, Read QD, White RL, and RK Vander Meer (2025). Virome of Solenopsis invicta (Hymenoptera: Formicidae): Intercontinental differences in the native and introduced ranges. Journal of Invertebrate Pathology, 213. DOI: 10.1016/j.jip.2025.108401.
  22. Abreu LR, Manuchehri MR, Antonangelo JA, Goad CL, and A Rocateli (2026), Assessing Glyphosate Injury and Forage Bermudagrass Regrowth Using Canopeo, Agronomy, 16(13), 1272. https://doi.org/10.3390/agronomy16131272 
  23. Demard E, Schumann R, van Santen E, and L Diepenbrock (2025). Degradation and residual efficacy of insecticides in Citrus Under Protective Screen (CUPS) differ from traditional citrus orchard. Journal of Economic Entomology, 118. doi:10.1093/jee/toaf253.
  24. Yokoo MJ-I, de los Campos G, Junqueira VS, Cardoso FF, Rosa GJM, and LG Albuquerque (2026). Structural equation modeling of genetic and residual covariance matrices for multiple-trait evaluation in beef cattle. Animals, 16.
  25. Dias FMGN, Silva FV, Moura FRT, Silva AGM, D’Angelo MFSV, Ferraz JBS, and GJM Rosa (2026). Predictive modeling of carcass bruising with self-organizing maps and gradient boosting, and estimation of losses in beef cattle carcasses. IEEE Access, 14. DOI: 10.1109/ACCESS.2026.3684859.
  26. Macchiavelli Girón SI, Jordan S, Macchiavell R, Spychalla J, Monette E, Crane J, Chen Y, and AJ Gevens (2026). Effect of fungicide treatment on silver scurf management and potato yield. Plant Disease  https://doi.org/10.1094/PDIS-02-25-0363-RE
  27. Callwood J, Celebioglu B, Gladman N, Jung J, Lachowiec J, Quezada Rodriquez EH, McNamara JP, and J Clarke (2025). The need for robust, FAIR phenomic databases supporting agricultural efficiency and resiliency. Science and Public Policy, scaf039. https://doi.org/10.1093/scipol/scaf039
  28. Zeileis A, Bivand R, Eddelbuettel D, Hornik K, Piaskowski J and N Vialaneix (2025). The CRAN Task View Initiative. R Journal. DOI: 10.32614/RJ-2025-011

 

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