Hugh G. Gauch, Jr. Publications
The following publications have generated about 10,000 citations and I am listed in the ISIHighlyCited.com database as a highly cited researcher. Also, my software for analyzing ecological and agricultural data has gone to over 4,000 laboratories.
Gauch, H.G., and Whittaker, R.H. 1972. Coenocline simulation. Ecology 53:446–451.
Gauch, H.G., and Whittaker, R.H. 1972. Comparison of ordination techniques. Ecology 53:868–875.
Gauch, H.G. 1973. A quantitative evaluation of the Bray-Curtis ordination. Ecology 54:829–836.
Gauch, H.G. 1973. The Cornell Ecology Programs series. Bulletin of the Ecological Society of America 54(3):10–11.
Gauch, H.G. 1973. The relationship between sample similarity and ecological distance. Ecology 54:618–622.
Whittaker, R.H., and Gauch, H.G. 1973. Evaluation of ordination techniques. In Ordination and Classification of Communities, editor R.H. Whittaker. Handbook of Vegetation Science 5:287–321. Junk, The Hague.
Gauch, H.G., and Chase, G.B. 1974. Fitting the Gaussian curve to ecological data. Ecology 55:1377–1381.
Gauch, H.G., Chase, G.B., and Whittaker, R.H. 1974. Ordination of vegetation samples by Gaussian species distributions. Ecology 55:1382–1390.
Gauch, H.G., and Wentworth, T.R. 1976. Canonical correlation analysis as an ordination technique. Vegetatio 33:17–22.
Gauch, H.G., and Whittaker, R.H. 1976. Simulation of community patterns. Vegetatio 33:13–16.
Gauch, H.G. 1977. Cornell Ecology Programs Series. Bulletin of the Ecological Society of America 58(1):11.
Gauch, H.G., Whittaker, R.H., and Wentworth, T.R. 1977. A comparative study of reciprocal averaging and other ordination techniques. Journal of Ecology 65:157–174.
Whittaker, R.H., and Gauch, H.G. 1978. Evaluation of ordination techniques. In Ordination of Plant Communities, editor R.H. Whittaker, pages 277–336. Junk, The Hague.
Gauch, H.G., and Scruggs, W.M. 1979. Variants of polar ordination. Vegetatio 40:147–153.
Gauch, H.G., and Stone, E.L. 1979. Vegetation and soil patterns in a mesophytic forest at Ithaca, New York. American Midland Naturalist 102:332–345.
Gauch, H.G. 1980. Rapid initial clustering of large data sets. Vegetatio 42:103–111.
Hill, M.O., and Gauch, H.G. 1980. Detrended correspondence analysis: an improved ordination technique. Vegetatio 42:47–58.
Gauch, H.G. 1981. Hierarchical classification of community data. Journal of Ecology 69:537–557.
Gauch, H.G., Whittaker, R.H., and Singer, S.B. 1981. A comparative study of nonmetric ordinations. Journal of Ecology 69:135–152.
Gauch, H.G. 1982. Multivariate Analysis in Community Ecology. Cambridge University Press, Cambridge, England. 298 pages. Chinese edition 1989.
Gauch, H.G. 1982. Noise reduction by eigenvector ordinations. Ecology 63:1643–1649.
Gauch, H.G., and Singer, S.B. 1982. A program for editing of community data matrices. Vegetatio 49:187–190.
Bernard, J.M., Seischab, F.K., and Gauch, H.G. 1983. Gradient analysis of the vegetation of the Byron-Bergen swamp, a rich fen in western New York. Vegetatio 53:85–92.
Gauch, H.G., and Kogan, M. 1984. Multivariate analysis of soybean insect pests. Environmental Entomology 13:930–934.
Chang, D.H.S., and Gauch, H.G. 1986. Multivariate analysis of plant communities and environmental factors in Ngari, Tibet. Ecology 67:1568–1575.
Crossa, J., Gauch, H.G., and Zobel, R.W. 1988. Estimacion estidastica predictiva de rendimiento en ensayos de variedades. In Investigacion en el Manejo de Cultivos, editor L. Alvarado. PCCMCA, San Jose, Costa Rica.
Gauch, H.G. 1988. Model selection and validation for yield trials with interaction. Biometrics 44:705–715.
Gauch, H.G., and Zobel, R.W. 1988. Predictive and postdictive success of statistical analyses of yield trials. Theoretical and Applied Genetics 76:1–10.
Zobel, R.W., Wright, M.J., and Gauch, H.G. 1988. Statistical analysis of a yield trial. Agronomy Journal 80:388–393.
Gauch, H.G., and Zobel, R.W. 1989. Accuracy and selection success in yield trial analyses. Theoretical and Applied Genetics 77:473–481.
Gauch, H.G., and Zobel, R.W. 1989. Using interaction in two-way data tables. In Proceedings of the 1989 Kansas State University Conference on Applied Statistics in Agriculture, editors G.A. Milliken and J.R. Schwenke, pages 205–213. Department of Statistics, Kansas State University, Manhattan, Kansas .
Crossa, J., Gauch, H.G., and Zobel, R.W. 1990. Additive main effects and multiplicative interaction analysis of two international maize cultivar trials. Crop Science 30:493–500.
Gauch, H.G. 1990. Full and reduced models for yield trials. Theoretical and Applied Genetics 80:153–160.
Gauch, H.G. 1990. Using interaction to improve yield estimates. In Genotype-by-Environment Interaction and Plant Breeding, editor M.S. Kang, pages 141–150. Department of Agronomy, Louisiana State University, Baton Rouge, Louisiana.
Gauch, H.G., and Zobel, R.W. 1990. Imputing missing yield trial data. Theoretical and Applied Genetics 79:753–761.
Bosch, O.J.H., and Gauch, H.G. 1991. The use of degredation gradients for the assessment and ecological interpretation of range condition. Journal of the Grassland Society of Southern Africa 8:138–146.
Crossa, J., Fox, P.N., Pfeiffer, W.H., Rajaram, S., and Gauch, H.G. 1991. AMMI adjustment for statistical analysis of an international wheat yield trial. Theoretical and Applied Genetics 81:27–37.
Gauch, H.G., and Furnas, R.E. 1991. Statistical analysis of yield trials with MATMODEL. Agronomy Journal 83:916–920.
Gauch, H.G. 1992. AMMI analysis of yield trials. In Wheat Special Report No. 8: Management and Use of International Trial Data for Improving Breeding Efficiency, editors P.N. Fox and G.P. Hettel, pages 9–12. CIMMYT, Mexico City, Mexico.
Gauch, H.G. 1992. Statistical Analysis of Regional Yield Trials: AMMI Analysis of Factorial Designs. Elsevier, New York, New York. 278 pages. Chinese edition 2001, China National Rice Research Institute, Hangzhou, China; also includes a Chinese translation of Gauch and Zobel 1997 article on mega-environments in Crop Science 37:311–326.
Nachit, M.M., Nachit, G., Ketata, H., Gauch, H.G., and Zobel, R.W. 1992. Use of AMMI and linear regression models to analyze genotype-environment interaction in durum wheat. Theoretical and Applied Genetics 83:597–601.
Nachit, M.M., Sorrells, M.E., Zobel, R.W., Gauch, H.G., Fischer, R.A., and Coffman, W.R. 1992. Association of morpho-physiological traits with grain yield and components of genotype-environment interaction in durum wheat. Journal of Genetics and Breeding 46:363–368.
Nachit, M.M., Sorrells, M.E., Zobel, R.W., Gauch, H.G., Fischer, R.A., and Coffman, W.R. 1992. Association of environmental variables with sites' mean grain yield and components of genotype-environment interaction in durum wheat. Journal of Genetics and Breeding 46:369–372.
Smith, M.F., and Gauch, H.G. 1992. Effects of noise on AMMI and hierarchical classification analyses. South African Statistical Journal 26:121–142.
Gauch, H.G. 1993. Non-additivity and biplots. Biometrics 49:952–954. (Letter to the editor from John Mandel and response from Hugh Gauch).
Gauch, H.G. 1993. Prediction, parsimony, and noise. American Scientist 81:468–478; correspondence 81:507–508.
Gauch, H.G. 1996. AMMI statistical analysis for increasing selection gains. In Thirty-second Annual Illinois Corn Breeders' School, editor T.R. Rocheford, pages 118–129. Department of Crop Sciences, University of Illinois, Champaign, Illinois.
Gauch, H.G., and Zobel, R.W. 1996. Optimal replication in selection experiments. Crop Science 36:838–843.
Kang, M.S., and Gauch, H.G. (Editors). 1996. Genotype-by-Environment Interaction. CRC Press, Boca Raton, Florida. 416 pages.
Gauch, H.G., and Zobel, R.W. 1997. Identifying mega-environments and targeting genotypes. Crop Science 37:311–326.
Srivastava, H.M., Gauch, H.G., Kulshreshtha, N., and Misra, G.P. 1999. Genotype × environment interaction — efficiency and use of AMMI MATMODEL in sugarcane. In International Society of Sugar Cane Technologists: Proceedings of the XXIII ISSCT Congress, 22–26 February 1999, New Delhi, India, editors V. Singh and V. Kumar, pages 476–485. STAI, New Delhi, India.
Moncada, P., Martinez , C.P., Borrero, J., Chatel, M., Gauch, H., Guimaraes, E., Tohme, J., and McCouch, S. 2001. Quantitative trait loci (QTL) for yield and yield components in an Oryza sativa × Oryza rufipogon BC 2 F 2 population evaluated in an upland environment. Theoretical and Applied Genetics 102:41–52.
Piepho, H.-P., and Gauch, H.G. 2001. Marker pair selection for mapping QTL. Genetics 157:433–444.
Ebdon, J.S., and Gauch, H.G. 2002. Additive main effect and multiplicative interaction analysis of national turfgrass performance trials: I. Interpretation of genotype × environment interaction. Crop Science 42:489–496.
Ebdon, J.S., and Gauch, H.G. 2002. Additive main effect and multiplicative interaction analysis of national turfgrass performance trials: II. Cultivar recommendations. Crop Science 42:497–506.
Gauch, H.G. 2002. Scientific Method in Practice. Cambridge University Press, Cambridge, England. 435 pages. Chinese edition 2004, Tsinghua University Press, Beijing, China.
Gauch, H.G., Hwang, J.T.G., and Fick, G.W. 2003. Model evaluation by comparison of model-based predictions and measured values. Agronomy Journal 95:1442–1446; 2004 correspondence, 96:1206–1208.
Gauch, H.G. 2006. Statistical analysis of yield trials by AMMI and GGE. Crop Science 46:1488–1500.
Gauch, H.G. 2006. Winning the accuracy game. American Scientist 94:133–141; correspondence 94:196; addendum 94:196.
Parsons, D., Cherney, J.H., and Gauch, H.G. 2006. Estimation of spring forage quality for alfalfa in New York state. Forage and Grazinglands doi:10.1094/FG-2006-0323-01-RS.
Parsons, D., Cherney, J.H., and Gauch, H.G. 2006. Estimation of preharvest fiber content of mixed alfalfa-grass stands in New York. Agronomy Journal 94:1081–1089.
Parsons, D., Cherney, J.H., and Gauch, H.G. 2006. Alfalfa fiber estimation in mixed stands and its relationship to plant morphology. Crop Science 46:2446–2452.
Cho, Y.-G., Kang, H.-J., Lee, Y.-T., Lim, S.-J., Gauch, H.G., Eun, M.-Y., and McCouch, S.R. 2007. Identification of quantitative trait loci in rice for yield, yield components, and agronomic traits across years and locations. Crop Science 47:2403–2417.
Culman, S.W., Gauch, H.G., Blackwood, C.B., and Thies, J.E. 2008. Analysis of T-RFLP data using analysis of variance and ordination methods: A comparative study. Journal of Microbiological Methods 75:55–63.
Gauch, H.G., Piepho, H.-P., and Annicchiarico, P. 2008. Statistical analysis of yield trials by AMMI and GGE: Further considerations. Crop Science 48:866–889.
Kim, T.-S., Booth, J.G., Gauch, H.G., Sun, Q., Park, J., Lee, Y.-H., and Lee, K. 2008. Simple sequence repeats in Neurospora crassa: distribution, polymorphism and evolutionary inference. BMC Genomics 9:31–49.
Ackerman, I.L., Constantino, R., Gauch, H.G., Lehmann, J., Riha, S.J., and Fernandes, E.C.M. 2009. Termite (Insecta: Isoptera) species composition in a primary rain forest and agroforests in central Amazonia. Biotropica 41:226–233.
Culman, S.W., Bukowski, R., Gauch, H.G., Cadillo-Quiroz, H., and Buckley, D.H. 2009. T-REX: Software for the processing and analysis of T-RFLP data. BMC Bioinformatics 10:171.
Gauch, H.G. 2009. Science, worldviews, and education. Science & Education 18:667–695; also published in Science, Worldviews and Education, editor M.R. Matthews, pages 27–48. Springer Verlag, Heidelberg.
Gauch, H.G. 2009. Responses and clarifications regarding science and worldviews. Science & Education 18:905–927; also published in Science, Worldviews and Education, editor M.R. Matthews, pages 303–325. Springer Verlag, Heidelberg.
Ahmed, Z.U., Panaullah, G.M., Gauch, H., McCouch, S.R., Tyagi, W., Kabir, M.S., and Duxbury, J.M. 2011. Genotype and environment effects on rice (Oryza sativa L.) grain arsenic concentration in Bangladesh. Plant and Soil 338:367–382.
Ebdon, J.S., and Gauch, H.G. 2011. Direct validation of AMMI predictions in turfgrass trials. Crop Science 51:862–869.
Gauch, H.G., Rodrigues, P.C., Munkvold, J.D., Heffner, E.L., and Sorrells, M. 2011. Two new strategies for detecting and understanding QTL × environment interactions. Crop Science 51:96–113.
Paderewski, J., Gauch, H.G., Madry, W., Drzazga, T., and Rodrigues, P.C. 2011. Yield response of winter wheat to agro-ecological conditions using Additive Main effects and Multiplicative Interaction and cluster analysis. Crop Science 51:1–12.
Gauch, H.G. 2012. Scientific Method in Brief. Cambridge University Press, Cambridge, England. 288 pages.