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Inmaculada Vila, Ester Sales, Javier Ollero, Jesús Muñoz-Bertomeu, Juan Segura, and Isabel Arrillaga

-strength Hoagland and Arnon (1950) nutrient solution. Statistical analysis. Significance of treatment effects was determined by analysis of variance (ANOVA). When responses did not change through treatments, the corresponding data were omitted from the

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Andrea Dravigne, Tina Marie Waliczek, R.D. Lineberger, and J.M. Zajicek

” (all further listings of window views assume an exterior green space view). The groups were then compared using analysis of variance (ANOVA) tests to ensure that the groups were similar demographically and suitable for comparison. Because confounding

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Susan L.F. Meyer, Dilip K. Lakshman, Inga A. Zasada, Bryan T. Vinyard, and David J. Chitwood

characteristics of interest were proportion of live plants and shoot heights and weights. Proportion data met analysis of variance (ANOVA) model assumptions without transformation. Consistency between the two trials was examined via a three-way factorial ANOVA

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Hiroko Hamada, Keisuke Nonaka, Terutaka Yoshioka, and Masahiko Yamada

obtaining desirable genotypes in a breeding program. Analysis of variance (ANOVA) has been used to estimate the contributions of genetic and environmental variance components for fruit traits of Japanese persimmon ( Yamada et al., 1993 , 2002 ), grape

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Dan E. Parfitt, Craig E. Kallsen, Brent Holtz, and Joseph Maranto

). Nut volumes were computed as volume = (π/6) (length)(width)(height). Comparisons were made with ‘Kerman’ pistachio, the primary cultivar in California. General Linear Models analyses of variance (ANOVAs) and balanced ANOVAs were performed as

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Nicholas P. Howard, Dennis Stimart, Natalia de Leon, Michael J. Havey, and William Martin

averaged across three flowers from each plant. The mean, sd , and minimum and maximum values were calculated for floral longevity for each inbred line. Normality of the data was assessed using the Shapiro-Wilk test. A one-way analysis of variance (ANOVA

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Coleman L. Etheredge, Tina M. Waliczek, and Jayne M. Zajicek

( Dravigne et al., 2008 ). Data analysis. Data were entered and analyzed using SPSS Statistics (version 20.0 for Windows; IBM Corp., Armonk, NY). Descriptive statistics, frequencies, analysis of variance (ANOVA), multivariate ANOVA, and regression analysis

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Matthew B. Bertucci, David H. Suchoff, Katherine M. Jennings, David W. Monks, Christopher C. Gunter, Jonathan R. Schultheis, and Frank J. Louws

dry weight of the scion. Statistical analysis. Analysis of variance (ANOVA) was conducted using the GLIMMIX procedure in SAS (version 9.4; SAS Institute, Cary, NC). Rootstock, rootstock species, harvest, and the interactions of rootstock or rootstock

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Hui-Shan Chan, Hui-Ying Chu, and Mei-Fang Chen

, NY) was used to analyze the collected questionnaire data. Data analyses included calculations of means, sd , and percentage frequencies for the answers and scores for each scale. One-way analysis of variance (ANOVA) was used to determine differences

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Darin A. Sukha, Pathmanathan Umaharan, and David R. Butler

trials were entered into Microsoft Excel (Microsoft, Redmond, WA) for a pooled analysis. The sensory data were subjected to analysis using analysis of variance (ANOVA), paired t tests, Tukey–Kramer test, and linear regression analysis. Female parent