Selectivity of linuron herbicide for carrot when sfrayed in post-emergence.

Objetivou-se aqui estudar a seletividade do herbicida linuron para a cultura da cenoura, influenciada por genótipo, dosagem do produto e estádio de desenvolvimento das plantas no momento da aplicação. O trabalho englobou a realização de quatro experimentos, um em casa de vegetação e três em campo, em área de produção comercial de cenoura.Made available in DSpace on 2017-11-02T09:10:55Z (GMT). No. of bitstreams: 1 artigo.cenouraPlantaDaninha.pdf: 740556 bytes, checksum: 437a2028be085ae4eeb9f884b2a95aa3 (MD5) Previous issue date: 2017-11-01bitstream/item/165924/1/artigo.cenoura-Planta-Daninha.pdfOn line

Sparse canonical methods for biological data integration: application to a cross-platform study

Background: In the context of systems biology, few sparse approaches have been proposed so far to integrate several data sets. It is however an important and fundamental issue that will be widely encountered in post genomic studies, when simultaneously analyzing transcriptomics, proteomics and metabolomics data using different platforms, so as to understand the mutual interactions between the different data sets. In this high dimensional setting, variable selection is crucial to give interpretable results. We focus on a sparse Partial Least Squares approach (sPLS) to handle two-block data sets, where the relationship between the two types of variables is known to be symmetric. Sparse PLS has been developed either for a regression or a canonical correlation framework and includes a built-in procedure to select variables while integrating data. To illustrate the canonical mode approach, we analyzed the NCI60 data sets, where two different platforms (cDNA and Affymetrix chips) were used to study the transcriptome of sixty cancer cell lines