Biblio

Found 2198 results
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J. W. Pscheidt and Harper, N., Progression of Symptoms on Blueberry Infected with Blueberry shock virus, Plant Health Progress, 2014.
J. I. Rey, Hayes, P. M., Petrie, S., Corey, A., Flowers, M. D., Ohm, J. B., Ong, C. K., Rhinhart, K., and Ross, A. S., Production of Dryland Barley for Human Food: Quality and Agronomic Performance, Crop Science, vol. 49, no. 1, p. 347, 2009.
S. L. Harper, Usenko, C. Y., Hutchison, J. Evan, Maddux, B. L. S., and Tanguay, R. L., Proactively designing nanomaterials to enhance performance and minimize hazard., International Journal of Nanotechnology, vol. 5, pp. 124-142, 2008.
S. L. Harper, Usenko, C. Y., Hutchison, J. Evan, Maddux, B. L. S., and Tanguay, R. L., Proactively designing nanomaterials to enhance performance and minimize hazard., International Journal of Nanotechnology, vol. 5, pp. 124-142, 2008.
S. Harper, Dahl, J. A., Maddux, B. L. S., Tanguay, R. L., and Hutchison, J. E., Proactively designing nanomaterials to enhance performance and minimise hazard, International Journal of Nanotechnology, vol. 5, pp. 124–142, 2008.
S. Harper, Dahl, J. A., Maddux, B. L. S., Tanguay, R. L., and Hutchison, J. E., Proactively designing nanomaterials to enhance performance and minimise hazard, International Journal of Nanotechnology, vol. 5, pp. 124–142, 2008.
T. Comendant, ,, Ward, B. C., Bachelet, D., Grossman, D., Stevenson-Molnar, N., Henifin, K., Lundin, M., Marvin, T. S., Peterman, W. L., and , Principles and Best Practices Emerging from Data Basin: A Data Platform Supporting Scientific Research and Landscape Conservation Planning, in AGU Fall Meeting Abstracts, 2013.
C. M. Stevens, Goulart, B. L., Demchak, K., é, Y., Yang, W. Q., and Hancock, J. F., THE PRESENCE, ISOLATION, AND CHARACTERIZATION OF ERICOID MYCORRHIZAL SYMBIONTS IN TWO NATIVE AND TWO COMMERCIAL VACCINIUM POPULATIONS IN CENTRAL PENNSYLVANIA, Acta Horticulturae, no. 446, pp. 411 - 420, 1997.
G. D., Stock, T., Nair, S., Shujuan, L., Bryks, S., Hurley, J., and Fournier, A. J., Preparing Your School Integrated Pest Management (IPM) Plan, Arizona Cooperative Extension publication, vol. AZ1669, 2015.
M. Grabe, Kleber, M., Hartmann, örg, and Jahn, R., Preparing a soil carbon inventory of Saxony-Anhalt, Central Germany using GIS and the state soil data base SABO_P, Journal of Plant Nutrition and Soil Science, vol. 166, no. 5, pp. 642 - 648, 2003.
R. G. Novy, Whitworth, J. L., Stark, J. C., Love, S. L., Corsini, D. L., Pavek, J. J., Vales, M. I., James, S. R., Hane, D. C., Shock, C. C., Charlton, B. A., Brown, C. R., Knowles, N. R., Pavek, M. J., Brandt, T. L., and Olsen, N., Premier Russet: A Dual-Purpose, Potato Cultivar with Significant Resistance to Low Temperature Sweetening During Long-Term Storage, American Journal of Potato Research, vol. 85, no. 31, pp. 198 - 209, 2008.
A. Hulet, Boyd, C. S., Davies, K. W., and Svejcar, T., Prefire (Preemptive) Management to Decrease Fire-Induced Bunchgrass Mortality and Reduce Reliance on Postfire Seeding, Rangeland Ecology & Management, vol. 68, no. 6, pp. 437 - 444, 2015.
C. M. Holfus, Rios, R. C., Boyd, C. S., and Mata-Gonzàlez, R., Preemergent Herbicide Protection Seed Coating: A Promising New Restoration Tool, Rangeland Ecology & Management, vol. 76, pp. 95-99, 2021.
H. U. A. N. G. Yan, Yan, Z. H. U., Hang, W. A. N. G., Xinfeng, Y. A. O., Weixing, C. A. O., Hannaway, D. B., and Yongchao, T. I. A. N., Predicting winter wheat growth based on integrating remote sensing and crop growth modeling techniques, Acta Ecologica Sinica, 2011.
H. U. A. N. G. Yan, Yan, Z. H. U., Hang, W. A. N. G., Xinfeng, Y. A. O., Weixing, C. A. O., Hannaway, D. B., and Yongchao, T. I. A. N., Predicting winter wheat growth based on integrating remote sensing and crop growth modeling techniques, Acta Ecologica Sinica, 2011.
Y. Huang, Zhu, Y., Wang, H., Yao, X., Cao, W., Hannaway, D. B., and Tian, Y., Predicting winter wheat growth based on integrating remote sensing and crop growth modeling techniques, Acta Ecologica Sinica, vol. 31, no. 4, 2011.
Y. Huang, Zhu, Y., Wang, H., Yao, X., Cao, W., Hannaway, D. B., and Tian, Y., Predicting winter wheat growth based on integrating remote sensing and crop growth modeling techniques, Acta Ecologica Sinica, vol. 31, no. 4, 2011.
C. Kusonwiriyawong, Sullivan, D. M., Hemphill, D. D., Cogger, C. G., Bary, A. I., and Myhre, L., PREDICTING PLANT-AVAILABLE NITROGEN FROM ORGANIC AMENDMENTS IN THE SECOND YEAR AFTER APPLICATION, Acta Horticulturae, no. 1018, pp. 325 - 333, 2014.
J. A. Henning, Townsend, M. S., and Mathews, P., Predicting Offspring Performance in Hop (Humulus lupulus L.) Using AFLP Markers, Journal of the American Society of Brewing Chemists, 2010.
T. J. Rodhouse, Irvine, K. M., Sheley, R., Smith, B. S., Hoh, S., Esposito, D. M., and Mata-González, R., Predicting foundation bunchgrass species abundances: model-assisted decision-making in protected-area sagebrush steppe, Ecosphere, vol. 5, no. 9, pp. 1 - 16, 2014.
C. S. Boyd, Predicting Fire-Based Perennial Bunchgrass Mortality in Big Sagebrush Plant Communities, International Journal of Wildland Fire , p. A-G, 2015.
P. D. Shirk, Shapiro, J. P., Reitz, S. R., Thomas, J. M. G., Koenig, R. L., Hay-Roe, M. M., and Buss, L. J., Predator-Prey Relationships on Apiaceae at an Organic Farm, Environmental Entomology, vol. 41, no. 3, pp. 487 - 496, 2012.
P. D. Shirk, Shapiro, J. P., Reitz, S. R., Thomas, J. M. G., Koenig, R. L., Hay-Roe, M. M., and Buss, L. J., Predator-prey relationships on Apiaceae at an organic farm., Environ Entomol, vol. 41, no. 3, pp. 487-96, 2012.
N. J. Herrick, Reitz, S. R., Carpenter, J. E., and Brien, C. W. ’, Predation by Podisus maculiventris (Hemiptera: Pentatomidae) on Plutella xylostella (Lepidoptera: Plutellidae) larvae parasitized by Cotesia plutellae (Hymenoptera: Braconidae) and its impact on cabbage, Biological Control, vol. 45, no. 3, pp. 386 - 395, 2008.
J. Selker, Selker, F., Huff, J., Short, R., Edwards, D., Nicholson, P., and Chin, A., Practical strategies for identifying groundwater discharges into sediment and surface water with fiber optic temperature measurement, Environmental Science: Processes & Impacts, vol. 16, pp. 1772–1778, 2014.