Search Results

You are looking at 71 - 80 of 1,986 items for :

  • Refine by Access: All x
Clear All
Free access

Winston Elibox and Pathmanathan Umaharan

–offspring regressions were performed between progeny CFPY and those for male parent, female parent, and midparent values to determine the nature of the relationships; and the h 2 for CFPY was estimated as the slope of the midparent–offspring regression according to

Free access

Ariana P. Torres and Maria I. Marshall

regression to assess the drivers of organic decertification. The probit estimated how farmer’s demographics, farm characteristics, sources of information, and farmer’s perceptions drove the decision to decertify. For instance, certified farmers selling

Free access

Edgar L. Vinson III, Elina D. Coneva, Joseph M. Kemble, Floyd M. Woods, Jeff L. Sibley, Esendugue G. Fonsah, Penelope M. Perkins-Veazie, and J. Raymond Kessler

al. (2009) reported that flowering occurred after a cumulative leaf number (CLN) of 37 to 46 had been reached. Successful prediction of bunch mass and harvest timing in tropical production climates can be performed with simple linear regression

Free access

Anna K. Kirk and Rufus Isaacs

dependent variable was the temperature and the covariate was the experimental replicate. For each of the five cultivars, base temperature was calculated as the x-intercept of the best fit regression line. Highbush blueberry bloom phenology under greenhouse

Full access

Amy L. Shober, Kimberly A. Moore, Nancy G. West, Christine Wiese, Gitta Hasing, Geoffrey Denny, and Gary W. Knox

parameter measurements (SI, SPAD, biomass, and tissue TKN) for all the three shrubs of each species planted were averaged to obtain a mean value for each species within each plot (replicate). Regression analysis was completed using PROC REG (SAS Version 9

Full access

Geoffrey Weaver and Marc W. van Iersel

reached. Regression analyses were performed using SigmaPlot (version 13; Systat Software, Inc., San Jose, CA). Regression analysis was used to evaluate ETR and Φ PSII as functions of PPFD for all days pooled and for individual days, and to evaluate F v

Free access

Thomas E. Marler, Anders Lindström, and Jack B. Fisher

, because the susceptibility ranking was not normally distributed, a Poisson regression was performed for each variable using SAS GLIMIX procedure (Version 9.2) to determine which of these variables correlated with our ranking. Finally, to define which of

Free access

Gary W. Williams, Oral Capps Jr, and Marco A. Palma

been developed to isolate and measure the unique contribution of promotion programs to the performance of the sales of the commodity being promoted. Most common has been the use of econometric regression techniques and models to statistically

Free access

Rangjian Qiu, Taisheng Du, Shaozhong Kang, Renqiang Chen, and Laosheng Wu

A ), but no significant differences were found for the slopes of the regression equations. The daily stem sap flow (SF) increased linearly with REW (SF = 2.56 REW –0.13; R 2 = 0.79). During the water deficit period, the ratio of daily stem sap flow

Open access

Maksut Barış Eminoğlu, Uğur Yegül, and Kamil Sacilik

content, and M o = initial moisture content. Because the relative humidity is continuously fluctuating within the dryer, M R was reduced to M / M 0 ( Diamente and Munro, 1993 ). A nonlinear regression procedure was used to calculate rate constants