1,721,090 research outputs found
An integrated approach for the characterization of wild Crocus species adopting phenotypical and phytochemical traits
No full textSiracusa, Laura, Onofri, Andrea, Galesi, Rosario, Impelluso, Carmen, Pulvirenti, Luana, Ruberto, Giuseppe, Gresta, Fabio, Spampinato, Giovanni, Cristaudo, Antonia (2022): An integrated approach for the characterization of wild Crocus species adopting phenotypical and phytochemical traits. Phytochemistry (113315) 202: 1-11, DOI: 10.1016/j.phytochem.2022.113315, URL: http://dx.doi.org/10.1016/j.phytochem.2022.11331
BIOASSAY97: a new EXCEL VBA macro to perform statistical analyses onherbicide dose-response data
No full textThis paper presents BIOASSAY97, a new EXCEL® macro add-in to perform non-linear regression analysis on bioassay data. This macro has been specifically developed to comply with all the peculiarities of herbicide bioassays, even though it can be used with any kind of bioassays, especially by users with limited knowledge in statistics and computer programming. Starting from experimental data, BIOASSAY97 estimates all the most important ED-levels, such as the ED10, ED50, ED90 and any other user specified ED-levels, which are very important as decision tools in defining rational Integrated Weed Management Systems. In particular, those indicators can be used as a basis to adjust herbicide doses according to pedological, floristic and meteorological conditions. This latter aspect is particularly important as the climatic component is frequently neglected when selecting herbicide doses. Simultaneous fitting of several dose-response curves to the same dataset is also possible, in order to estimate the relative efficiency of either several herbicides or the same herbicide in different formulations or environmental conditions or weed flora situations. Three basic response models are built-in BIOASSAY97: a log-logistic symmetric model, a Gompertz model and a peaked logistic model; constraints on parameters can be introduced in several ways, according to user specified needs, to increase the flexibility of BIOASSAY97 and be able to analyse data from any type of bioassay experiments. The Box-Cox-transform-both-sides approach was built in, for the
cases where the assumption of variance homogeneity is violated. Estimates are always provided with standard errors and confidence intervals; graphical analysis of residuals and F test for lack of fit are also possible to evaluate the goodness of regression. BIOASSAY97 has been extensively tested and validated, it is freeware and can be easily downloaded from the
author web-site
Bioassay97: EXCEL Add-in per l'elaborazione statistica del dosaggio biologico con erbicidi
No full textRoutine statistical analyses of field experiments by using an Excel extension
No full textThis paper wishes to bring to the attention of readers a new EXCEL® VBA macro add-in, which may be useful as a support for teaching statistics or to perform statistically sound analyses of routine agriculture experiments. The code was progressively developed over the years to support the intensive field research activity that is carried out at the author's institution and has been specifically thought to address all the peculiarities of routine field
experiments, with particular reference to agronomy and plant protection. A very user-friendly interface has been developed to be used by people (mainly students and technicians) with a
limited background in statistics and computer programming.
Starting from experimental data, users may easily perform 23 different types of Analyses of Variance (ANOVA), including one-way balanced or unbalanced designs and two to four way
balanced designs. Fully randomised, randomised block, latin square, factorial and split-plot designs may be analysed, as well as multi-location and/or multi-year experiments with one or
two experimental factors, considering annual and perennial crops. A series of diagnostic tools have been implemented for one-way experiments, to verify whether basic assumptions for ANOVA are met (i.e. Tukey's test for non-additivity, Bartlett's and Levene's tests for homogeneity of variances), to seek for possible outliers and to select the most appropriate transformation of data. Several multiple comparison tests have been as well implemented, to cover all the most common types of routine analysis for field experiments. Users can also calculate correlation matrices, perform simple and multiple linear regression analyses and compare regression lines. DSAASTAT has been extensively tested and validated; it is freeware and can be easily downloaded from the author's web-site
Enhancing Excel capability to perform statistical analyses in agriculture applied research
No full textComputational Statistics and data analysis - Statistical Software Newsletters, Ed. by International Association for statistical Computing (http://www.csdassn.org/softlist.cfm
Verifica della miscibilità tra prodotti graminicidi e dicotiledonicidi di post-emergenza della soia
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Diserbo in pre e post-emergenza del lino da olio (Linum usitatissimum L.) in semina primaverile.
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