Biblio

Found 233 results
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C. W. Higgins, Meneveau, C., and Parlange, M., Geometric properties of the subgrid-scale heat flux from field observations, in APS Division of Fluid Dynamics Meeting Abstracts, 2001.
C. W. Higgins, Meneveau, C., and Parlange, M. B., Geometric alignments of the subgrid-scale force in the atmospheric boundary layer, Boundary-layer meteorology, vol. 132, pp. 1–9, 2009.
C. W. Higgins, Meneveau, C., and Parlange, M. B., Geometric Alignments of the SGS Force in the Atmospheric Surface Layer, in 17th Symposium on Boundary Layers and Turbulence, 2006.
C. W. Higgins, Geometric alignments in atmospheric boundary layer turbulence and large eddy simulations, 2007.
S. A. Mehlenbacher, Geographic distribution of incompatibility alleles in cultivars and selections of European hazelnut, J. Amer. Soc. Hort. Sci., vol. 139, pp. 191-200, 2014.
R. A. Lybrand, Michalski, G., Graham, R. C., and Parker, D. R., The geochemical associations of nitrate and naturally formed perchlorate in the Mojave Desert, California, USA, Geochimica et Cosmochimica Acta, vol. 104, pp. 136-147, 2013.
J. A. Henning, Gent, D. H., Twomey, M. C., Townsend, M. S., Pitra, N. J., and Matthews, P. D., Genotyping-by-sequencing of a bi-parental mapping population segregating for downy mildew resistance in hop (Humulus lupulus L.), Euphytica, vol. 20, no. 32, pp. 545 - 559, 2016.
C. M. Bradish, Bushakra, J. M., Dossett, M., Bassil, N. V., Finn, C. E., and Fernandez, G. E., Genotyping and phenotyping heat tolerance in black raspberry ( Rubus occidentalis L.), Acta Horticulturae, no. 1127, pp. 321 - 324, 2016.
B. Singh, Sharma, J., Bhardwaj, V., and Sood, S., Genotypic variations for tuber nutrient content , dry matter and agronomic traits in tetraploid potato germplasm, Physiology and Molecular Biology of Plants, 2022.
M. M. Mathey, Mookerjee, S., Mahoney, L. L., ündüz, K., Rosyara, U., Hancock, J. F., Stewart, P. J., Whitaker, V. M., Bassil, N. V., Davis, T. M., and Finn, C. E., Genotype by environment interactions and combining ability for strawberry families grown in diverse environments, Euphytica, vol. 213708697186859242471367344438515912733, no. 5, 2017.
C. D. Curtin and Pretorius, I. S., Genomic insights into the evolution of industrial yeast species Brettanomyces bruxellensis., FEMS Yeast Res, vol. 14, no. 7, pp. 997-1005, 2014.
J. Chen, Chu, C., Souza, E. J., Guttieri, M. J., Chen, X., Xu, S., Hole, D. J., and Zemetra, R. S., Genome-wide identification of QTL conferring high-temperature adult-plant (HTAP) resistance to stripe rust (Puccinia striiformis f. sp. tritici) in wheat, Molecular Breeding, vol. 29, no. 326, pp. 791 - 800, 2012.
M. Mohammadi, Blake, T. K., Budde, A. D., Chao, S., Hayes, P. M., Horsley, R. D., Obert, D. E., Ullrich, S. E., and Smith, K. P., A genome-wide association study of malting quality across eight U.S. barley breeding programs, Theoretical and Applied Genetics, vol. 128, no. 4, pp. 705 - 721, 2015.
H. A. Arkwazee, Wallace, L. T., Hart, J. P., Griffiths, P. D., and Myers, J. R., Genome-Wide Association Study (GWAS) of White Mold Resistance in Snap Bean, Genes, vol. 13, p. 2297, 2022.
S. Gouthu, Di, Y., P, J., P, J., and Deluc, L. G., Genome -wide arrays at the onset of grape berry ripening reveals a coordinated hormone-regulated transcriptional network., 2012.
K. Chandra Naga, Kardile, H., Tiwari, R. K., Subhash, S., Verma, G., Sharma, S., and Bhatnagar, A., Genome Size Estimation of Potato Aphid Macrosiphum Euphorbiae Using Flow Cytometry, Indian Journal of Entomology, vol. 84, pp. 149-151, 2022.
J. J. Rothleutner and Contreras, R., Genome size estimates for Cotoneaster spp.. 2011.
R. Contreras and Ruter, J., Genome Size Estimates and Chromosome Numbers of Callicarpa L. (Lamiaceae), HortScience, vol. 46, no. 4, 2011.
Y. P. Chen, Pettis, J. S., Zhao, Y., Liu, X., Tallon, L. J., Sadzewicz, L. D., Li, R., Zheng, H., Huang, S., Zhang, X., Hamilton, M. C., Pernal, S. F., Melathopoulos, A. P., Yan, X., and Evans, J. D., Genome sequencing and comparative genomics of honey bee microsporidia, Nosema apis reveal novel insights into host-parasite interactions, BMC Genomics, vol. 14, p. 451, 2013.
Yping Chen, Pettis, J. S., Zhao, Y., Liu, X., Tallon, L. J., Sadzewicz, L. D., Li, R., Zheng, H., Huang, S., Zhang, X., Hamilton, M. C., Pernal, S. F., Melathopoulos, A. P., Yan, X., and Evans, J. D., Genome sequencing and comparative genomics of honey bee microsporidia, Nosema apis reveal novel insights into host-parasite interactions, BMC Genomics, vol. 14, no. 1, p. 451, 2013.
X. Feng, Poplawsky, A. R., Nikolaeva, O. V., Myers, J. R., and Karasev, A. V., Genome sequences of two field isolates of Bean common mosaic virus, Phytopathology, vol. 102, no. 6, p. S6.9, 2012.
X. Feng, Poplawsky, A. R., Nikolaeva, O. V., Myers, J. R., and Karasev, A. V., Genome sequences of two field isolates of Bean common mosaic virus, in PHYTOPATHOLOGY, 2012.
A. Juneja, Chaplen, F. W. R., and Murthy, G. S., Genome scale metabolic reconstruction of Chlorella variabilis for exploring its metabolic potential for biofuels, Bioresource technology, 2016.
A. Juneja, Chaplen, F., and Murthy, G. Suryanaray, Genome scale metabolic reconstruction of Chlorella variabilis for exploring its metabolic potential for biofuels., Bioresource Technology, vol. 213, pp. 103-10, 2016.
P. Dharmawardhana, Ren, L., Amarasinghe, V., Monaco, M., Thomason, J., Ravenscroft, D., McCouch, S., Ware, D., and Jaiswal, P., A genome scale metabolic network for rice and accompanying analysis of tryptophan, auxin and serotonin biosynthesis regulation under biotic stress, Rice, vol. 6, 2013.