Literature Cited

• Barbosa-Neto, J. F., Henandez, C. O., O'Donoughue, L. S., and Sorrels, M. E. Precision of genetic relationship estimates based on molecular markers. Euphytica 98:59–67, 1997.
   Web of Science ®Google Scholar
• Benham, J., Jeung, J., Jasieniuk, M., Kanazin, V., and Blake, T. Genographer: A graphical tool for automated fluorescent AFLP and microsatellite. On-line publication (Verified 2/19/03) 1999.
   Google Scholar
• Burkhammer, R. L., Lanning, S. P., Martens, R. J., Martin, J. M., and Talbert, L. E. Predicting progeny variance from parental divergence in hard red spring wheat. Crop Sci. 38:243–248, 1998.
   Web of Science ®Google Scholar
• Cerna, F. J., Cianzio, S. R., Rafalski, A., Tingey, S., and Dyer, D. Relationship between seed yield heterosis and molecular marker heterozygosity in soybean. Theor. Appl. Genet. 95:460–467, 1997.
   Web of Science ®Google Scholar
• Charcosset, A., Bonnisseau, B., Touchebeuf, O., Burstin, J., Dubreuil, P., Barriere, Y., Gallais, A., and Denis, J.-B. Prediction of maize hybrid silage performance using molecular marker data: Comparison of several models for specific combining ability. Crop Sci. 38:38–44, 1998.
   Web of Science ®Google Scholar
• Cheres, M. T., Miller, J. F., Crane, J. M., and Knapp, S. J. Genetic distance as a predictor of heterosis and hybrid performance within and between heterotic groups in sunflower. Theor. Appl. Genet. 100:889–894, 2000.
   Web of Science ®Google Scholar
• Fabrizius, M. A., Busch, R. H., Khan, K., and Huckle, L. Genetic diversity and heterosis of spring wheat crosses. Crop Sci. 38:1108–1112, 1998.
   Web of Science ®Google Scholar
• Falconer, D. S. Introduction to Quantitative Genetics. 2nd ed. Longman Group Limited Pub., New York, 1981.
   Google Scholar
• Guerardi, M., Mangin, B., Goffinet, B., Bonner, D., and Huguet, T. A method to measure genetic distance between allogamous populations of alfalfa (Medicago sativa) using RAPD molecular markers. Theor. Appl. Genet. 96:406–412, 1998
   Web of Science ®Google Scholar
• Henning, J., Haunold, A., and Nickerson, G. Genetic parameter estimates for five traits in male hop accessions: A preliminary study. J. Am. Soc. Brew Chem. 55:157–160, 1997.
   Web of Science ®Google Scholar
• Henning, J., Haunold, A., Nickerson, G., and Gampert, U. Estimates of heritability and genetic correlation for five traits in female hop accessions. J. Am. Soc. Brew Chem. 55:161–165, 1997.
   Web of Science ®Google Scholar
• Jakse, J., Kindlofer, K., and Javornik, B. Assessment of genetic variation and differentiation of hop genotypes by microsatellite and AFLP markers. Genome 44:773–782, 2001.
   Web of Science ®Google Scholar
• Kidwell, K. K., and Osborn, T. C. Simple plant DNA isolation procedures. In: Plant Genomes: Methods for Genetic and Physical Mapping. J. S. Beckman and T. C. Osborn, Eds. Kluwer Academic Publishers, Netherlands. Pp. 1–13, 1992.
   Google Scholar
• Lanza, L. L. B., de Souza, C. L., Ottoboni, L. M. M., Vieira, M. L. C., and Souza, A. P. Genetic distance of inbred lines and prediction of maize single-cross performance using RAPD markers. Theor. Appl. Genet. 94:1023–1030, 1997.
   Web of Science ®Google Scholar
• Le Clerc, V., Briard, M., and Peltier, D. Carrot genetic substructure evaluation: Comparison of the efficiency of mapped molecular markers and randomly chosen markers. Acta Hortic. 546:127–134, 2000.
   Google Scholar
• Le Clerc, V., Briard, M., and Revollon, P. Influence of number and map distribution of AFLP markers on similarity estimates in carrot. Theor. Appl. Genet. 106:157–162, 2002.
   Web of Science ®Google Scholar
• Lombard, V. Estimation de la proximité génétique de variétés de colza sur la base marqueurs moléculaires: Conséquences pour l'inscription et la protection variétale. Ph.D. thesis. Institut National Agronomique Paris-Grignon, 2000.
   Google Scholar
• Melchinger, A. E., Gumber, R. K., Leipert, R. B., Vuylsteke, M., and Kuiper, M. Prediction of testcross means and variances among F3 progenies of F1 crosses from testcross means and genetic distance of their parents in maize. Theor. Appl. Genet. 96:503–512, 1998.
   PubMed Web of Science ®Google Scholar
• Murakami, A. Hop variety classification using the genetic distance based on RAPD. J. Inst. Brew. 106:157–161, 2000.
   Web of Science ®Google Scholar
• Patzak, J. Comparison of RAPD, STS, ISSR, and AFLP molecular methods used for assessment of genetic diversity in hop (Humulus lupulus L.). Euphytica 121:9–18, 2001.
   Web of Science ®Google Scholar
• Rybacek, V. Ed. Hop Production. Developments in Crop Science 16. Elsevier Publisher, Amsterdam, 1991.
   Google Scholar
• Sant, V. J. Patankar, A. G., Sarode, N. D., Mhase, L. B., Sainani, M. N., Deshmukh, R. B., Ranjekar, P. K., and Gupta, V. S. Potential of DNA markers in detecting divergence and in analyzing heterosis in Indian elite chickpea cultivars. Theor Appl. Genet. 98:1217–1225, 1999.
   Web of Science ®Google Scholar
• Seefelder, S., Ehrmaier, H., Schweizer, G., and Seigner, E. Genetic diversity and phylogenetic relationships among hop, Humulus lupulus, as determined by amplified fragment length polymorphism fingerprinting compared with pedigree data. Plant Breed. 119:257–263, 2000.
   Web of Science ®Google Scholar
• Small, E. A numerical and nomenclature analysis of morpho-geographic taxa of Humulus. Syst. Bot. 3:37–76, 1978.
   Web of Science ®Google Scholar
• Small, E. The relationship of hop cultivars and wild variants of Humulus lupulus. Can. J. Bot. 58:676–686, 1980.
   Google Scholar
• Stevens, J. F., Taylor, A. W., Nickerson, G. B., Ivancic, M. I., Henning, J. A., Haunold, A., and Deinzer, M. L. Prenylflavonoid variation in Humulus lupulus: Distribution and taxonomic significance of xanthogalenol and 4′-O-methylxanthohumol. Phytochemistry 53:759–775, 2000.
   PubMed Web of Science ®Google Scholar
• Susta-Voslic, J., and Javornik, B. Genetic relationships in hop, Humulus lupulus L., determined by RAPD analysis. Plant Breed. 118:175–181, 1999.
   Web of Science ®Google Scholar
• Tivang, J. G., Nienhuis, J., and Smith, O. S. Estimation of sampling variance of molecular marker data using bootstrap procedure. Theor. Appl. Genet. 89:259–264, 1994.
   Web of Science ®Google Scholar
• Townsend, M. A., Henning, J. A., and Moore, D. L. AFLP analysis of DNA from dried hop cones. Crop Sci. 40:1383–1386, 2000.
   Web of Science ®Google Scholar
• Tracy, W. F., Talbert, L. E., and Gerdes, J. T. Molecular variation and F1 performance among strains of the Sweet Corn Inbred P39. Crop Sci. 40:1763–1768, 2000.
   Web of Science ®Google Scholar
• Virk, P. S., Newbury, H. J., Jackson, M. T., and Ford-Lloyd, B. V. Are mapped markers more useful for assessing genetic diversity? Theor. Appl. Genet. 100:607–613, 2000.
   Web of Science ®Google Scholar
• Xiao, J., Li, J., Yuan, L., McCouch, S. R., and Tanksley, S. D. Genetic diversity and its relationship to hybrid performance and heterosis in rice as revealed by PCR-based markers. Theor. Appl. Genet. 92:637–643, 1996.
   PubMed Web of Science ®Google Scholar