Biblio

Found 566 results
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J. B. Dunham, Hoffmann, R. G., and Arismendi, I., Practical guidelines for monitoring movement of aquatic organisms at stream-road crossings, 2011.
L. Lev, Stephenson, G. Owen, and Brewer, L., Practical research methods to enhance farmers markets, Remaking the North American food system: Strategies for sustainability, pp. 84–98, 2007.
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.
L. Gwin and Murray, T. D., Practical strategies to assess and improve small farm profitability, OSU Extension Service, 2016. [Online]. Available: https://catalog.extension.oregonstate.edu/sites/catalog/files/project/pdf/em9149.pdf .
S. I. Rondon and Xue, L., Practical Techniques and Accuracy for Sexing the Potato Tuberworm, Phthorimaea operculella (Lepidoptera: Gelechiidae), Florida Entomologist, vol. 93, no. 1, pp. 113 - 115, 2010.
J. Kerkvliet, The Practice and Economics of Stewardship Contracting: A Case Study of the Clearwater Stewardship Project, Forest Products Journal, vol. 60, no. 3, pp. 213 - 220, 2010.
D. C. Ganskopp, Bohnert, D. W., Johnson, D. D., and Munday, K., Pre- and post-burn cattle distribution patterns in sagebrush steppe., Range Field Day 2009 Progress Report, 2009.
T. Pizzari, Froman, D. P., and Birkhead, T. R., Pre- and post-insemination episodes of sexual selection in the fowl, Gallus g. domesticus, Heredity, vol. 88, no. 2, pp. 112 - 116, 2002.
R. F. Miller, Baisan, C., Rose, J., and Pacioretty, D., Pre-and post-settlement fire regimes in mountain big sagebrush steppe and aspen: the northwestern Great Basin, Final report, 2001.
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.
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.
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.
M. Mc Innis, Quigley, T. M., Vavra, M., and H. Sanderson, R., Predicting Beef Cattle Stocking Rates and Live Weight Gains on Eastern Oregon Rangelands: Description of a Model, SIMULATION, vol. 5579610659149, no. 3, pp. 137 - 145, 1990.
D. M. Sullivan, Bary, A. I., Cogger, C. G., and Shearin, T. E., Predicting Biosolids Application Rates for Dryland Wheat across a Range of Northwest Climate Zones, Communications in Soil Science and Plant Analysis, vol. 40, no. 11-12, pp. 1770 - 1789, 2009.
M. Kahle, Kleber, M., and Jahn, R., Predicting carbon content in illitic clay fractions from surface area, cation exchange capacity and dithionite-extractable iron, European Journal of Soil Science, vol. 53, no. 4, pp. 639 - 644, 2002.
C. S. Boyd, Predicting Fire-Based Perennial Bunchgrass Mortality in Big Sagebrush Plant Communities, International Journal of Wildland Fire , p. A-G, 2015.
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.
L. Truong, Ouedraogo, G., Pham, L. L., Clouzeau, J., Loisel-Joubert, S., Blanchet, D., Noçairi, H., Setzer, W., Judson, R., Grulke, C., Mansouri, K., and Martin, M., Predicting in vivo effect levels for repeat-dose systemic toxicity using chemical, biological, kinetic and study covariates., Arch Toxicol, vol. 92, no. 2, pp. 587-600, 2018.
D. M. Sullivan, Cogger, C. G., Bary, A. I., Myhre, E. A., and Choate, J., Predicting N availability from yard debris, in Proc. Western Nutrient Mgmt. Conf, 2001.
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.
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.
D. M. Sullivan, Datta, R., Andrews, N., and Pool, K., Predicting plant-available nitrogen release from cover crop residues, in Proceedings of the Western Nutrient Management Conference, 2011.
C. Langpap and Wu, J. J., Predicting the Effect of Land-Use Policies on Wildlife Habitat Abundance, Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, vol. 56, pp. 195–217, 2008.
J. M. Antle and Stoorvogel, J. J., Predicting the Supply of Ecosystem Services from Agriculture, American Journal of Agricultural Economics, vol. 88, no. 5, pp. 1174 - 1180, 2006.
J. R. Jaeger, Olson, K. C., Delcurto, T., and Qu, A., Predicting the time of parturition in spring calving beef cows, Proc. West. Sec. Am. Soc. Anim. Sci., vol. 53. pp. 204-207, 2002.