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Bridget K. Behe, Melinda Knuth, Charles R. Hall, Patricia T. Huddleston, and R. Thomas Fernandez

for 72.8% of the variance in the items ( Table 2 ). Items loading highly on the Plant Expertise component included “I am a plant expert” and “I know a lot about plants.” Items loading highly on the Plant Involvement construct included “I think that

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Gabriele Gusmini and Todd C. Wehner

components and interallelic interaction effects, whenever the population structure and composition allows ( Holland et al., 2003 ; Nyquist, 1991 ). Among others, a design based on the measure of variance from six generations (P a , P b , F 1 , F 2 , BC 1 P a

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Mahdieh Abkar, Mustafa Kamal, Suhardi Maulan, Manohar Mariapan, and Seyed Rasoul Davoodi

the same variables but with “preference” as dependent variable ( Table 3 ). The results indicated that restorative components (“compatibility,” “being away,” “fascination,” and “coherence”) explained 67% and 66% of the variance of PRP in UNL and UBL

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Stanisław Pluta, Edward Żurawicz, Marcin Studnicki, and Wiesław Mądry

-site) analyses of data generated from a factorial mating design in strawberry ( Hasing et al., 2012 ). The estimation of variance components of the random effects in models, Eq. [1] and Eq. [2], was performed using the restricted maximum likelihood (REML) method

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Xuan Wu, Shuyin Liang, and David H. Byrne

the six traits. The variance components were calculated with the REML method, assuming all factors as random effects for a more powerful estimation ( Littell et al., 1996 ). The model for heritability analysis was Y = μ + Female + Male + Progeny

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Eugene K. Blythe and Donald J. Merhaut

irrigation and fertilization programs ( Yeager et al., 2000 ). As such, physical properties of container-growing substrates and individual substrate components have been investigated and reported in numerous research studies in past years ( Bilderback et al

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Job Teixeira de Oliveira, Rubens Alves de Oliveira, Lucas Allan Almeida Oliveira, Paulo Teodoro, and Rafael Montanari

production components are shown in Supplemental Table 1 . From the analysis of the average, minimum and maximum values, and also the variance of the values of the garlic production components, it can consider that the variability of the data are considerable

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Mostafa Farajpour, Mohsen Ebrahimi, Amin Baghizadeh, and Mostafa Aalifar

components (PCs) confirmed 67.8% of the total variance ( Table 4 ). The first PC confirmed for 27.3% of the total variance and correlated positively with germacrene-D (0.9) and isospathulenol (0.71). 1,8-Cineole (0.75) and transnerolidol (0.69) components

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Jesse Vorwald and James Nienhuis

, the data were analyzed using the standard least squares procedure of JMP statistical software, Version 7 (SAS Institute, Inc., Cary, NC). Genetic components of variance and covariance were obtained by setting observed means squares or crossproducts

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Michael R. Evans, Johann S. Buck, and Paolo Sambo

9.1; SAS Institute, Cary, NC) was used to determine if significant differences occurred among the components at specific times. Where time was not significant, the data were pooled across time and an analysis of variance was conducted to determine if