Genetics and Genomics Initiative - 2016 Barrangou, R., & Dudley, E. G. (2016). CRISPR-Based Typing and Next-Generation Tracking Technologies. Annual Review of Food Science and Technology, 7(1), 395–411. https://doi.org/10.1146/annurev-food-022814-015729 Briner, A. E., & Barrangou, R. (2016). Guide RNAs: A Glimpse at the Sequences that Drive CRISPR–Cas Systems. Cold Spring Harbor Protocols, 2016(7), pdb.top090902. https://doi.org/10.1101/pdb.top090902 Bryan, M. R., Maltecca, C., Gray, K. A., Huang, Y., & Tiezzi, F. (2016). Mitigating the effect of seasonality on sow reproductive performance using genetic selection. Journal of Animal Science, 94, 14–14. Climate Change, Microbes, and Soil Carbon Cycling. (2016). In Climate Change and Microbial Ecology: Current Research and Future Trends. https://doi.org/10.21775/9781910190319.07 Hansen, Z. R., Everts, K. L., Fry, W. E., Gevens, A. J., Grünwald, N. J., Gugino, B. K., … others. (2016). Genetic variation within clonal lineages of Phytophthora infestans revealed through genotyping-by-sequencing, and implications for Late Blight epidemiology. PloS One, 11(11), e0165690. Historical and current climate drive spatial and temporal patterns in fungal endophyte diversity. (2016). Fungal Ecology. https://doi.org/10.1016/j.funeco.2015.12.005 Historical precipitation predictably alters the shape and magnitude of microbial functional response to soil moisture. (2016). Global Change Biology. https://doi.org/10.1111/gcb.13219 Howard, J. T., Tiezzi, F., Huang, Y., Gray, K. A., & Maltecca, C. (2016). A method for the identification of unfavorable haplotypes contained within runs of homozygosity that impact fitness traits and its application to different swine nucleus lines. Journal of Animal Science, 94, 26–27. Howard, J. T., Tiezzi, F., Huang, Y., Gray, K. A., & Maltecca, C. (2016). The use of alternative genomic metrics in swine nucleus herds to manage the diversity of purebred and crossbred animals. Journal of Animal Science, 94, 13–13. Howard, J. T., Tiezzi, F., Pryce, J. E., & Maltecca, C. (2016). A combined coalescence forward in time simulator software for pedigreed populations undergoing selection for complex traits. Journal of Animal Science, 94, 143–144. Intraspecific variation in precipitation responses of a widespread C4grass depends on site water limitation. (2016). Journal of Plant Ecology. https://doi.org/10.1093/jpe/rtw040 Jiao, S., Tiezzi, F., Huang, Y., Gray, K. A., & Maltecca, C. (2016). The use of multiple imputation for the accurate measurements of individual feed intake by electronic feeders. Journal of Animal Science, 94(2), 824–832. https://doi.org/10.2527/jas.2015-9667 Moretti, R., Bozzi, R., Maltecca, C., Tiezzi, F., Chessa, S., Bar, D., & Biffani, S. (2016). 0387 Daily rumination time in Italian Holstein cows: Heritability and correlation with milk production. Journal of Animal Science, 94(suppl_5), 187–188. Plant and root endophyte assembly history: interactive effects on native and exotic plants. (2016). Ecology. https://doi.org/10.1890/15-0635.1 Promises and challenges of eco-physiological genomics in the field: tests of drought responses in switchgrass. (2016). Plant Physiology. https://doi.org/10.1104/pp.16.00545 Ristaino, J. B., Bonants, P., & Ivors, K. (2016). Cover image courtesy of Pallem Chowdappa, ICAR-CPCRI. Workshop Agenda. Ristaino, J., Saville, A., Charles, M., Wyatt, M., & Chavan, S. (2016). Molecular characterization and genetic diversity of Mycosphaerella fijiensis in Costa Rica using sequence based nuclear markers. PHYTOPATHOLOGY, 106(12), 139–139. Ristaino, J., Saville, A., Guenter, R., Lagaly, C., & Cooper, D. (2016). Rapid LAMP diagnostics for detection and disease alerts of Phytophthora infestans. PHYTOPATHOLOGY, 106(12), 22–23. Temporal and Spatial Variation of Soil Bacteria Richness, Composition, and Function in a Neotropical Rainforest. (2016). PLOS ONE. https://doi.org/10.1371/journal.pone.0159131 Tree species, spatial heterogeneity, and seasonality drive soil fungal abundance, richness, and composition in Neotropical rainforests. (2016). Environmental Microbiology. https://doi.org/10.1111/1462-2920.13342