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Yuejin Weng, Jun Qin, Stephen Eaton, Yufeng Yang, Waltram Second Ravelombola, and Ainong Shi

total protein content for each sample was estimated by times 6.25 nitrogen ( Moore et al., 2010 ). Data analysis. Analysis of cowpea seed protein data were performed by analysis variance (ANOVA) using the general linear models procedure of JMP Genomics 7

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Drew C. Zwart and Soo-Hyung Kim

set at 0.05 for all treatment comparisons. Lesion size, biomass, and stem water potential were analyzed by one-way analysis of variance (ANOVA) with soil treatment (biochar amendment or chemical) as the main factor. When data failed the Shapiro

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Cheng Bai, Charles C. Reilly, and Bruce W. Wood

above the bar for each ureide designates statistical difference by ANOVA at α = 0.05. Fig. 2. Influence of pecan tree nickel nutritional status [Ni-deficient (Ni-D) and Ni-sufficient (Ni-S)] on concentration of urea-cycle ureides and amides

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Kendra Baumgartner, Phillip Fujiyoshi, Greg T. Browne, Chuck Leslie, and Daniel A. Kluepfel

from non-inoculated plants were examined in this same manner on the day of inoculation and at two months post-inoculation in each of the three experiments (n = five plants per genotype per experiment). Statistical analyses. Analysis of variance (ANOVA

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Margaret A. Cliff, Kareen Stanich, and Peter M.A. Toivonen

-factor analyses of variance (ANOVAs) were conducted on sensory data at each storage period (1, 7, and 28 d) to evaluate panel performance. Main effects (panelist, replicate, and treatment) and two-factor interactions (panelist × replicate, panelist × treatment

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Valtcho D. Zheljazkov, Charles L. Cantrell, Mateus Augusto Donega, Tess Astatkie, and Bonnie Heidel

constituent was used to determine the percent for each sample using the equation: (PA/RF/C) * 100 = %. Statistical analysis. The effect of 20 juniper tree accessions on podophyllotoxin (%) was determined by conducting a one-way analysis of variance (ANOVA

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Eduardo J. Chica and L. Gene Albrigo

(ANOVA) and a general linear model with three tree replicates. In the third experiment, abundance of CsFT transcripts was determined in leaves of mature field-grown trees 2 d before, during, and after the passing of a cold front that reduced night

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Christopher M. Menzel and Lindsay Smith

data on plant DW, DW distribution, weight of carbohydrates/plant, and the distribution of carbohydrates in the plant were analyzed by two-way analyses of variance (ANOVA; 2 years × four digging times), with no blocking, using Genstat (Version 11; VSN

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Elisabeth Hodgdon, Jennifer Bonina Noseworthy, and Rebecca Grube Sideman

characteristics were analyzed by analysis of variance (ANOVA) using SPSS v.22 (IBM, Armonk, NY). When the overall F test was significant ( P ≤ 0.05), differences between treatments were evaluated using Tukey’s honestly significant difference tests at the P ≤ 0

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Kai Jia, Cunyao Yan, Huizhuan Yan, and Jie Gao

). Statistical analysis All statistical analyses were conducted using SPSS version 19.0 (IBM, Chicago, IL). Significant differences between treatments were evaluated by an analysis of variance (ANOVA). TB tools software ( Chen et al., 2018 ) was used to draw the