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Effect of Mesotrione and Nicosulfuron Mixtures With or Without Adjuvants 87
DUUS,J.; KRUSE,N.D.; STREIBIG,J.C..
ABSTRACT: In Field experiments, a logarithmic sprayer was used to screen the efficacy of 28.5% mixture of nicosulfuron and mesotrione, and the herbicides applied separately. Three adjuvants were also used to assess how they affected the potency of the mixture. The objectives were to test whether a mixture was enhancing or detracting the effect relative to ADM (Additive Dose Model). The test plants were canola and barley. The 28.5% nicosulfuron mixture was acting antagonistic, irrespective of plant species. The antagonistic effect of the nicosulfuron mixture decreased the more developed the plants became; for barley, it almost disappeared 40 days after treatment. For both canola and barley, one adjuvant stood out as being highly effective in decreasing ED50...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Mixture models; Additive Dose Model (ADM); Multiplicative Survival Model (MSM); Adjuvant effect.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582018000100314
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Performance of maximum likelihood mixture models to estimate nursery habitat contributions to fish stocks: a case study on sea bream Sparus aurata 5
Niklitschek, Edwin J.; Darnaude, Audrey M..
Background: Mixture models (MM) can be used to describe mixed stocks considering three sets of parameters: the total number of contributing sources, their chemical baseline signatures and their mixing proportions. When all nursery sources have been previously identified and sampled for juvenile fish to produce baseline nursery-signatures, mixing proportions are the only unknown set of parameters to be estimated from the mixed-stock data. Otherwise, the number of sources, as well as some/all nursery-signatures may need to be also estimated from the mixed-stock data. Our goal was to assess bias and uncertainty in these MM parameters when estimated using unconditional maximum likelihood approaches (ML-MM), under several incomplete sampling and...
Tipo: Text Palavras-chave: Otolith chemistry; Mixture models; Mixed stocks; Mixing proportions; Mixing models; Stock identification; Stock structure; Fish stocks; Population structure; Sparus aurata.
Ano: 2016 URL: https://archimer.ifremer.fr/doc/00625/73753/74388.pdf
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Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’ 1
Pompeu, Danielle da Silva; Guedes, Terezinha Aparecida; Janeiro, Vanderly; Gonçalves-Zuliane, Aline Maria Orbolato; Nunes, William Mario de Carvalho; Carneiro, José Walter Pedroza.
Citrus canker, caused by the bacterium Xanthomonas citri subsp. citri, is one of the most important diseases of citrus. The use of resistant genotypes plays an important role in the management and control of the disease and is the most environmentally sustainable approach to disease control. Citrus canker incidence was recorded in an experiment on nine genotypes of the sweet orange variety ‘Pera’ grafted on four rootstocks. The experiment was started in 2010 and the incidence of citrus canker on the leaves was recorded on a quarterly basis. The incidence data from the experiment were analyzed using a zero-inflated Beta regression model (RBIZ), which is the appropriate method to describe data with large numbers of zeros. Based on the residual analysis, the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: 5.00.00.00-4; 5.01.02.00-1; 1.00.00.00-3; 1.02.03.00-1 zero-inflated Beta distribution; Mixture models; Inflated Beta regression model; Modeling proportions Fitossanidade; Probabilidade e Estatística Aplicadas.
Ano: 2017 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/28535
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