Biblio

Found 1382 results
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D. Gu, Zhen, F., Hannaway, D. B., Zhu, Y., Liu, L., Cao, W., and Tang, L., Quantitative Classification of Rice (Oryza sativa L.) Root Length and Diameter Using Image Analysis, PLoS ONE, vol. 12, no. 1, p. e0169968, 2017.
J. T. Gamble, Reed-Harris, Y., Barton, C. L., La Du, J., Tanguay, R., and Greenwood, J. A., Quantification of glioblastoma progression in zebrafish xenografts: Adhesion to laminin alpha 5 promotes glioblastoma microtumor formation and inhibits cell invasion., Biochem Biophys Res Commun, vol. 506, no. 4, pp. 833-839, 2018.
J. T. Gamble, Reed-Harris, Y., Barton, C. L., La Du, J., Tanguay, R., and Greenwood, J. A., Quantification of glioblastoma progression in zebrafish xenografts: Adhesion to laminin alpha 5 promotes glioblastoma microtumor formation and inhibits cell invasion., Biochem Biophys Res Commun, vol. 506, no. 4, pp. 833-839, 2018.
L. Davis, Jung, J., Colonna, A., Hasenbeck, A., Gouw, V., and Zhao, Y., Quality and Consumer Acceptance of Berry Fruit Pomace–Fortified Specialty Mustard, Journal of Food Science, vol. 83, pp. 1921-1932, 2018.
L. Davis, Jung, J., Colonna, A., Hasenbeck, A., Gouw, V., and Zhao, Y., Quality and consumer acceptance of berry fruit pomace-fortified specialty mustard. , Journal of Food Science, vol. 83, no. 7, 2018.
J. A. Henning, Townsend, M. S., Gent, D. H., Bassil, N., Matthews, P., Buck, E., and Beatson, R., QTL mapping of powdery mildew susceptibility in hop (Humulus lupulus L.), Euphytica, vol. 18, no. 36, pp. 411 - 420, 2011.
J. A. Henning, Gent, D. H., Townsend, M. S., Woods, J. L., Hill, S. T., and Hendrix, D., QTL analysis of resistance to powdery mildew in hop (Humulus lupulus L.), Euphytica, vol. 21, no. 41, 2017.
P
J. Lim and Green, B. G., The psychophysical relationship between bitter taste and burning sensation: evidence of qualitative similarity, Chemical senses, vol. 32, pp. 31–39, 2006.
H. Wang, Liu, S., Dai, X., Yang, Y., Luo, Y., Gao, Y., Liu, X., Wei, W., Wang, H., Xu, X., Reddy, A. S. N., Jaiswal, P., Li, W., Liu, B., and Gu, L., PSDX: A Comprehensive Multi-Omics Association Database of With a Focus on the Secondary Growth in Response to Stresses., Front Plant Sci, vol. 12, p. 655565, 2021.
H. Wang, Liu, S., Dai, X., Yang, Y., Luo, Y., Gao, Y., Liu, X., Wei, W., Wang, H., Xu, X., Reddy, A. S. N., Jaiswal, P., Li, W., Liu, B., and Gu, L., PSDX: A Comprehensive Multi-Omics Association Database of With a Focus on the Secondary Growth in Response to Stresses., Front Plant Sci, vol. 12, p. 655565, 2021.
J. Grimplet, Wheatley, M. D., Ben Jouira, H., Deluc, L. G., Cramer, G. R., and Cushman, J. C., Proteomic and selected metabolite analysis of grape berry tissues under well-watered and water-deficit stress conditions, PROTEOMICS, vol. 92, no. 9, pp. 2503 - 2528, 2009.
A. Paul Gutierrez, Daane, K. M., Ponti, L., Walton, V. M., and C. Ellis, K., Prospective evaluation of the biological control of vine mealybug: refuge effects and climate, Journal of Applied Ecology, vol. 45, no. 212, pp. 524 - 536, 2008.
D. L. Whittington, Turner, H. A., Gomm, F. Bryant, Raleigh, R. J., and Kennick, W. Herbert, Production of slaughter steers grazing crested wheatgrass and irrigated pasture in eastern Oregon, in Proc West Sect Am Soc Anim Sci, 1977.
K. B. Moffett, Tyler, S. W., Torgersen, T., Menon, M., Selker, J., and Gorelick, S. M., Processes controlling the thermal regime of saltmarsh channel beds, Environmental science & technology, vol. 42, pp. 671–676, 2008.
S. L. Massey Simonich, Sun, P., Casteel, K., Dyer, S., Wernery, D., Garber, K., Carr, G., and Federle, T., Probabilistic analysis of risks to us drinking water intakes from 1,4-dioxane in domestic wastewater treatment plant effluents, Integrated Environmental Assessment and Management, vol. 9, no. 4, pp. 554 - 559, 2013.
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.
A. Vinchesi, Rondon, S. I., and Goyer, A., Priming potato with thiamin to control Potato Virus Y, American Journal of Potato Research, vol. 94, no. 2, pp. 120-128, 2017.
L. SD, Richardson, J. M., Goyer, A., Keryer, E., Lancelin, J. M., Makhatadze, G. I., and Jacquot, J. P., Primary structure determinants of the pH- and temperature-dependent aggregation of thioredoxin, Biochimica et Biophysica Acta, vol. 1476, 2000.
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.
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.
J. A. Carroll, Sánchez, N. C. Burdick, Broadway, P. R., Gleise, S., Ranches, J., Warren, J., Arthington, J. D., Lancaster, P. A., and Moriel, P., Prenatal Immune Stimulation Alters the Postnatal Acute Phase and Metabolic Responses to an Endotoxin Challenge in Weaned Beef Heifers, Translational Animal Science, vol. 5, no. 3, pp. 1-12, 2021.
M. Kleber, Röner, J., Chenu, C., Glaser, B., Knicker, H., and Jahn, R., PREHISTORIC ALTERATION OF SOIL PROPERTIES IN A CENTRAL GERMAN CHERNOZEMIC SOIL, Soil Science, vol. 168, no. 4, pp. 292 - 306, 2003.
D. C. Ganskopp, Richman, L. M., Johnson, D. D., Angell, R., and Cruz, R., Preferences of Angora goats for eight selections of grasses used for reclamation of Great Basin rangelands, Small Ruminant Research, vol. 19, no. 2, pp. 103 - 112, 1996.
D. C. Ganskopp, Myers, B., Lambert, S., and Cruz, R., Preferences and Behavior of Cattle Grazing 8 Varieties of Grasses, Journal of Range Management, vol. 50, no. 6, p. 578, 1997.
A. C. Yost, Petersen, S. L., Gregg, M. A., and Miller, R. F., Predictive modeling and mapping sage grouse (Centrocercus urophasianus) nesting habitat using Maximum Entropy and a long-term dataset from Southern Oregon, Ecological Informatics, vol. 3, no. 6, pp. 375 - 386, 2008.