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Robert Conway Hochmuth, Marina Burani-Arouca, and Charles Edward Barrett

using the Generalized Linear Mixed Model, Regression, and Nonlinear Regression Procedures of SAS (SAS Version 9.4; SAS Inst. Inc., Cary, NC). A two-way analysis of variance was performed for yield and carrot quality data to determine significance of main

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Yohei Kurata, Tomoe Tsuchida, and Satoru Tsuchikawa

apple ( Malus sylvestris var. domestica ), in which attenuance of peak maxima, time delay of peak maxima, and variation of full width at half maximum of the time-resolved profile were used as explanatory variables for multiple linear regression

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Pablo Rodriguez, Juan Camilo Henao, Guillermo Correa, and Ana Aristizabal

.01 ( AOAC, 1998 ) and 963.15 ( AOAC, 2006 ), respectively. We used the following equations: Statistical analysis. Correlation models between OC and DM: We analyzed the OC and DM results using a simple linear regression analysis with a 95% confidence level

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Catalina Pinto, Gabino Reginato, Karen Mesa, Paulina Shinya, Mariana Díaz, and Rodrigo Infante

was conducted when the background color changed from yellow-green to yellow and when the firmness of the flesh was between 36 and 44 N. Data analysis. To examine the evolution of I AD , a segmented linear regression model was used to describe the

Open access

Eileen M. Perry, Ian Goodwin, and David Cornwall

). Statistical analysis. Relationships between measured leaf %N and the canopy and leaf reflectance indices were determined by linear regression in Genstat 18.1 (VSN International Limited, Oxford, UK). Error analyses. Error propagation analysis was performed to

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Sanjit K. Deb, Manoj K. Shukla, and John G. Mexal

and ψ leaf and midday ψ stem and ψ leaf , respectively. Data analysis. Linear regression analysis was used to explore relationships between dependent and independent variables at both sites, namely, diurnal and midday ψ stem and ψ leaf values at

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Maude Lachapelle, Gaétan Bourgeois, and Jennifer R. DeEll

harvest. The REG procedure and the STEPWISE selection method of SAS Version 9.2 (SAS Institute, Inc., Cary, NC) were used to analyze the effect of all the fruit quality attributes and weather conditions on firmness at harvest. Stepwise regression

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Luther C. Carson, Monica Ozores-Hampton, Kelly T. Morgan, and Jerry B. Sartain

linear model procedure in SAS (Version 9.3; SAS Institute Inc., Cary, NC). Year and CRF were considered main effects and year × CRF was an interaction effect. The non-linear regression procedure in SAS was used to determine the N release rate by fitting a

Open access

Youngsuk Lee, Hun Joong Kweon, Moo-Yong Park, and Dongyong Lee

. Leaf samples collected in 2017 were used to determine the leaf nutrient profiles and to perform an analysis of the correlation matrix, whereas samples collected in 2018 were used for N regression analyses. We measured SPAD values at different time

Open access

Julie H. Campbell and Benjamin L. Campbell

impact consumer perceptions of quality, price, and quality for price across retailers, several ordinary least squares (OLS) regression models were used. To determine the role of demographics in how consumers view price, quality, and quality for price for