Consulta: subjectFacets:"Mixture model"
Registros recuperados: 3
Data/hora: 07/06/2024 08:27:48

Combined effects of antifouling biocides on the growth of three marine microalgal species
Provedor de dados: 5
Autores: Dupraz, Valentin; Stachowski-haberkorn, Sabine; Menard, Dominique; Limon, Gwendolina; Akcha, Farida; Budzinski, Helene; Cedergreen, Nina.
The toxicity of the antifouling compounds diuron, irgarol, zinc pyrithione (ZnPT), copper pyrithione (CuPT) and copper was tested on the three marine microalgae Tisochrysis lutea, Skeletonema marinoi and Tetraselmis suecica. Toxicity tests based on the inhibition of growth rate after 96-h exposure were run using microplates. Chemical analyses were performed to validate the exposure concentrations and the stability of the compounds under test conditions. Single chemicals exhibited varying toxicity depending on the species, irgarol being the most toxic chemical and Cu the least toxic. Selected binary mixtures were tested and the resulting interactions were analyzed using two distinct concentration-response surface models: one using the concentration addition...
Tipo: Text
Palavras-chave: Diuron; Irgarol; Pyrithione; Copper; Microbial ecotoxicology; Mixture model.
Ano: 2018
URL: https://archimer.ifremer.fr/doc/00445/55695/57362.pdf

Spatio-temporal modelling of coffee berry borer infestation patterns accounting for inflation of zeroes and missing values
Provedor de dados: 63
Autores: Ruiz-Cárdenas,Ramiro; Assunção,Renato Martins; Demétrio,Clarice Garcia Borges.
The study of pest distributions in space and time in agricultural systems provides important information for the optimization of integrated pest management programs and for the planning of experiments. Two statistical problems commonly associated to the space-time modelling of data that hinder its implementation are the excess of zero counts and the presence of missing values due to the adopted sampling scheme. These problems are considered in the present article. Data of coffee berry borer infestation collected under Colombian field conditions are used to study the spatio-temporal evolution of the pest infestation. The dispersion of the pest starting from initial focuses of infestation was modelled considering linear and quadratic infestation growth...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Markov chain Monte Carlo methods; Risk maps; Mixture model; Zero inflated model; Multiple imputation.
Ano: 2009
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000100014

Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data
Provedor de dados: 63
Autores: Costa,Adriano Carvalho; Balestre,Marcio; Botelho,Hortência Aparecida; Freitas,Rilke Tadeu Fonseca de; Gomes,Richardson Cesar da Silva; Campos,Sérgio Augusto de Sousa; Foresti,Fábio Porto; Hashimoto,Diogo Teruo; Martins,Diego Galetti; Prado,Fernanda Dotti do; Mendonça,Maria Andreia Corrêa.
ABSTRACT This study aimed to impute the genetic makeup of individual fishes of Serrasalmidae family on the basis of body weight and morphometric measurements. Eighty-three juveniles, belonging to the genetic groups Pacu, Pirapitinga, Tambaqui, Tambacu, Tambatinga, Patinga, Paqui and Piraqui, were separated into 16 water tanks in a recirculation system, with two tanks per genetic group, where they remained until they reached 495 days of age. They were then weighed and analyzed according to the following morphometric parameters: Standard Length (SL), Head Length (HL), Body Height (BH), and Body Width (BW). The identity of each fish was confirmed with two SNPs and two mitochondrial markers. Two analyses were performed: one for the validating the imputation...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Colossoma spp.; Piaractus spp.; Breeding; Mixture model; Round fish.
Ano: 2017
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162017000600443